This commit is contained in:
mario
2025-03-07 13:47:44 +07:00
commit c4efec5a14
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const path = require('path');
const webpackCommon = require('./../../../.webpack/webpack.base.js');
const SRC_DIR = path.join(__dirname, '../src');
const DIST_DIR = path.join(__dirname, '../dist');
module.exports = (env, argv) => {
return webpackCommon(env, argv, { SRC_DIR, DIST_DIR, ENTRY });
};

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const webpack = require('webpack');
const { merge } = require('webpack-merge');
const path = require('path');
const webpackCommon = require('./../../../.webpack/webpack.base.js');
const pkg = require('./../package.json');
const ROOT_DIR = path.join(__dirname, './..');
const SRC_DIR = path.join(__dirname, '../src');
const DIST_DIR = path.join(__dirname, '../dist');
const MiniCssExtractPlugin = require('mini-css-extract-plugin');
const ENTRY = {
app: `${SRC_DIR}/index.tsx`,
};
const outputName = `ohif-${pkg.name.split('/').pop()}`;
module.exports = (env, argv) => {
const commonConfig = webpackCommon(env, argv, { SRC_DIR, DIST_DIR, ENTRY });
return merge(commonConfig, {
stats: {
colors: true,
hash: true,
timings: true,
assets: true,
chunks: false,
chunkModules: false,
modules: false,
children: false,
warnings: true,
},
optimization: {
minimize: true,
sideEffects: false,
},
output: {
path: ROOT_DIR,
library: 'ohif-extension-tmtv',
libraryTarget: 'umd',
filename: pkg.main,
},
externals: [/\b(vtk.js)/, /\b(dcmjs)/, /\b(gl-matrix)/, /^@ohif/, /^@cornerstonejs/],
plugins: [
new webpack.optimize.LimitChunkCountPlugin({
maxChunks: 1,
}),
new MiniCssExtractPlugin({
filename: `./dist/${outputName}.css`,
chunkFilename: `./dist/${outputName}.css`,
}),
],
});
};

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extensions/tmtv/LICENSE Normal file
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MIT License
Copyright (c) 2018 Open Health Imaging Foundation
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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# TMTV Extension

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module.exports = require('../../babel.config.js');

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{
"name": "@ohif/extension-tmtv",
"version": "3.9.1",
"description": "OHIF extension for Total Metabolic Tumor Volume",
"author": "OHIF",
"license": "MIT",
"repository": "OHIF/Viewers",
"main": "dist/ohif-extension-tmtv.umd.js",
"module": "src/index.tsx",
"engines": {
"node": ">=14",
"npm": ">=6",
"yarn": ">=1.16.0"
},
"files": [
"dist",
"README.md"
],
"publishConfig": {
"access": "public"
},
"scripts": {
"clean": "shx rm -rf dist",
"clean:deep": "yarn run clean && shx rm -rf node_modules",
"dev": "cross-env NODE_ENV=development webpack --config .webpack/webpack.dev.js --watch --output-pathinfo",
"build": "cross-env NODE_ENV=production webpack --config .webpack/webpack.prod.js",
"build:package": "yarn run build",
"start": "yarn run dev",
"test:unit": "jest --watchAll",
"test:unit:ci": "jest --ci --runInBand --collectCoverage --passWithNoTests"
},
"peerDependencies": {
"@ohif/core": "3.9.1",
"@ohif/ui": "3.9.1",
"dcmjs": "*",
"dicom-parser": "^1.8.9",
"hammerjs": "^2.0.8",
"prop-types": "^15.6.2",
"react": "^18.3.1"
},
"dependencies": {
"@babel/runtime": "^7.20.13",
"classnames": "^2.3.2"
}
}

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import React, { useEffect, useState } from 'react';
import PropTypes from 'prop-types';
import { PanelSection, Input, Button } from '@ohif/ui';
import { DicomMetadataStore } from '@ohif/core';
import { useTranslation } from 'react-i18next';
import { Separator } from '@ohif/ui-next';
const DEFAULT_MEATADATA = {
PatientWeight: null,
PatientSex: null,
SeriesTime: null,
RadiopharmaceuticalInformationSequence: {
RadionuclideTotalDose: null,
RadionuclideHalfLife: null,
RadiopharmaceuticalStartTime: null,
},
};
/*
* PETSUV panel enables the user to modify the patient related information, such as
* patient sex, patientWeight. This is allowed since
* sometimes these metadata are missing or wrong. By changing them
* @param param0
* @returns
*/
export default function PanelPetSUV({ servicesManager, commandsManager }: withAppTypes) {
const { t } = useTranslation('PanelSUV');
const { displaySetService, toolGroupService, toolbarService, hangingProtocolService } =
servicesManager.services;
const [metadata, setMetadata] = useState(DEFAULT_MEATADATA);
const [ptDisplaySet, setPtDisplaySet] = useState(null);
const handleMetadataChange = metadata => {
setMetadata(prevState => {
const newState = { ...prevState };
Object.keys(metadata).forEach(key => {
if (typeof metadata[key] === 'object') {
newState[key] = {
...prevState[key],
...metadata[key],
};
} else {
newState[key] = metadata[key];
}
});
return newState;
});
};
const getMatchingPTDisplaySet = viewportMatchDetails => {
const ptDisplaySet = commandsManager.runCommand('getMatchingPTDisplaySet', {
viewportMatchDetails,
});
if (!ptDisplaySet) {
return;
}
const metadata = commandsManager.runCommand('getPTMetadata', {
ptDisplaySet,
});
return {
ptDisplaySet,
metadata,
};
};
useEffect(() => {
const displaySets = displaySetService.getActiveDisplaySets();
const { viewportMatchDetails } = hangingProtocolService.getMatchDetails();
if (!displaySets.length) {
return;
}
const displaySetInfo = getMatchingPTDisplaySet(viewportMatchDetails);
if (!displaySetInfo) {
return;
}
const { ptDisplaySet, metadata } = displaySetInfo;
setPtDisplaySet(ptDisplaySet);
setMetadata(metadata);
}, []);
// get the patientMetadata from the StudyInstanceUIDs and update the state
useEffect(() => {
const { unsubscribe } = hangingProtocolService.subscribe(
hangingProtocolService.EVENTS.PROTOCOL_CHANGED,
({ viewportMatchDetails }) => {
const displaySetInfo = getMatchingPTDisplaySet(viewportMatchDetails);
if (!displaySetInfo) {
return;
}
const { ptDisplaySet, metadata } = displaySetInfo;
setPtDisplaySet(ptDisplaySet);
setMetadata(metadata);
}
);
return () => {
unsubscribe();
};
}, []);
function updateMetadata() {
if (!ptDisplaySet) {
throw new Error('No ptDisplaySet found');
}
// metadata should be dcmjs naturalized
DicomMetadataStore.updateMetadataForSeries(
ptDisplaySet.StudyInstanceUID,
ptDisplaySet.SeriesInstanceUID,
metadata
);
// update the displaySets
displaySetService.setDisplaySetMetadataInvalidated(ptDisplaySet.displaySetInstanceUID);
// Crosshair position depends on the metadata values such as the positioning interaction
// between series, so when the metadata is updated, the crosshairs need to be reset.
setTimeout(() => {
commandsManager.runCommand('resetCrosshairs');
}, 0);
}
return (
<>
<div className="ohif-scrollbar flex min-h-0 flex-auto select-none flex-col justify-between overflow-auto">
<div className="flex min-h-0 flex-1 flex-col bg-black text-[13px] font-[300]">
<PanelSection title={t('Patient Information')}>
<div className="flex flex-col">
<div className="bg-primary-dark flex flex-col gap-4 p-2">
<Input
containerClassName={'!flex-row !justify-between items-center'}
label={t('Patient Sex')}
labelClassName="text-[13px] font-inter text-white"
className="!m-0 !h-[26px] !w-[117px]"
value={metadata.PatientSex || ''}
onChange={e => {
handleMetadataChange({
PatientSex: e.target.value,
});
}}
/>
<Input
containerClassName={'!flex-row !justify-between items-center'}
label={t('Weight')}
labelChildren={<span className="text-aqua-pale"> kg</span>}
labelClassName="text-[13px] font-inter text-white"
className="!m-0 !h-[26px] !w-[117px]"
value={metadata.PatientWeight || ''}
onChange={e => {
handleMetadataChange({
PatientWeight: e.target.value,
});
}}
id="weight-input"
/>
<Input
containerClassName={'!flex-row !justify-between items-center'}
label={t('Total Dose')}
labelChildren={<span className="text-aqua-pale"> bq</span>}
labelClassName="text-[13px] font-inter text-white"
className="!m-0 !h-[26px] !w-[117px]"
value={
metadata.RadiopharmaceuticalInformationSequence.RadionuclideTotalDose || ''
}
onChange={e => {
handleMetadataChange({
RadiopharmaceuticalInformationSequence: {
RadionuclideTotalDose: e.target.value,
},
});
}}
/>
<Input
containerClassName={'!flex-row !justify-between items-center'}
label={t('Half Life')}
labelChildren={<span className="text-aqua-pale"> s</span>}
labelClassName="text-[13px] font-inter text-white"
className="!m-0 !h-[26px] !w-[117px]"
value={metadata.RadiopharmaceuticalInformationSequence.RadionuclideHalfLife || ''}
onChange={e => {
handleMetadataChange({
RadiopharmaceuticalInformationSequence: {
RadionuclideHalfLife: e.target.value,
},
});
}}
/>
<Input
containerClassName={'!flex-row !justify-between items-center'}
label={t('Injection Time')}
labelChildren={<span className="text-aqua-pale"> s</span>}
labelClassName="text-[13px] font-inter text-white"
className="!m-0 !h-[26px] !w-[117px]"
value={
metadata.RadiopharmaceuticalInformationSequence.RadiopharmaceuticalStartTime ||
''
}
onChange={e => {
handleMetadataChange({
RadiopharmaceuticalInformationSequence: {
RadiopharmaceuticalStartTime: e.target.value,
},
});
}}
/>
<Input
containerClassName={'!flex-row !justify-between items-center'}
label={t('Acquisition Time')}
labelChildren={<span className="text-aqua-pale"> s</span>}
labelClassName="text-[13px] font-inter text-white"
className="!m-0 !h-[26px] !w-[117px]"
value={metadata.SeriesTime || ''}
onChange={() => {}}
/>
<Button
className="!h-[26px] !w-[115px] self-end !p-0"
onClick={updateMetadata}
>
Reload Data
</Button>
</div>
</div>
</PanelSection>
</div>
</div>
</>
);
}
PanelPetSUV.propTypes = {
servicesManager: PropTypes.shape({
services: PropTypes.shape({
measurementService: PropTypes.shape({
getMeasurements: PropTypes.func.isRequired,
subscribe: PropTypes.func.isRequired,
EVENTS: PropTypes.object.isRequired,
VALUE_TYPES: PropTypes.object.isRequired,
}).isRequired,
}).isRequired,
}).isRequired,
};

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import React, { useEffect } from 'react';
import { useActiveViewportSegmentationRepresentations } from '@ohif/extension-cornerstone';
import { handleROIThresholding } from '../../utils/handleROIThresholding';
import { debounce } from '@ohif/core/src/utils';
export default function PanelRoiThresholdSegmentation({
servicesManager,
commandsManager,
}: withAppTypes) {
const { segmentationService } = servicesManager.services;
const { segmentationsWithRepresentations: segmentationsInfo } =
useActiveViewportSegmentationRepresentations({ servicesManager });
useEffect(() => {
const segmentationIds = segmentationsInfo.map(
segmentationInfo => segmentationInfo.segmentation.segmentationId
);
const initialRun = async () => {
for (const segmentationId of segmentationIds) {
await handleROIThresholding({
segmentationId,
commandsManager,
segmentationService,
});
}
};
initialRun();
}, []);
useEffect(() => {
const debouncedHandleROIThresholding = debounce(async eventDetail => {
const { segmentationId } = eventDetail;
await handleROIThresholding({
segmentationId,
commandsManager,
segmentationService,
});
}, 100);
const dataModifiedCallback = eventDetail => {
debouncedHandleROIThresholding(eventDetail);
};
const dataModifiedSubscription = segmentationService.subscribe(
segmentationService.EVENTS.SEGMENTATION_DATA_MODIFIED,
dataModifiedCallback
);
return () => {
dataModifiedSubscription.unsubscribe();
};
}, [commandsManager, segmentationService]);
// Find the first segmentation with a TMTV value since all of them have the same value
const tmtvSegmentation = segmentationsInfo.find(
info => info.segmentation.cachedStats?.tmtv !== undefined
);
const tmtvValue = tmtvSegmentation?.segmentation.cachedStats?.tmtv;
return (
<div className="mt-2 mb-10 flex flex-col">
<div className="invisible-scrollbar overflow-y-auto overflow-x-hidden">
{tmtvValue !== null && tmtvValue !== undefined ? (
<div className="bg-secondary-dark flex items-baseline justify-between px-2 py-1">
<span className="text-base font-bold uppercase tracking-widest text-white">
{'TMTV:'}
</span>
<div className="text-white">{`${tmtvValue.toFixed(3)} mL`}</div>
</div>
) : null}
</div>
</div>
);
}

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import React from 'react';
import { Input, Label, Select, LegacyButton, LegacyButtonGroup } from '@ohif/ui';
import { useTranslation } from 'react-i18next';
export const ROI_STAT = 'roi_stat';
const RANGE = 'range';
const options = [
{ value: ROI_STAT, label: 'Max', placeHolder: 'Max' },
{ value: RANGE, label: 'Range', placeHolder: 'Range' },
];
function ROIThresholdConfiguration({ config, dispatch, runCommand }) {
const { t } = useTranslation('ROIThresholdConfiguration');
return (
<div className="bg-primary-dark flex flex-col space-y-4">
<div className="flex items-end space-x-2">
<div className="flex w-1/2 flex-col">
<Select
label={t('Strategy')}
closeMenuOnSelect={true}
className="border-primary-main mr-2 bg-black text-white "
options={options}
placeholder={options.find(option => option.value === config.strategy).placeHolder}
value={config.strategy}
onChange={({ value }) => {
dispatch({
type: 'setStrategy',
payload: {
strategy: value,
},
});
}}
/>
</div>
<div className="w-1/2">
{/* TODO Revisit design of LegacyButtonGroup later - for now use LegacyButton for its children.*/}
<LegacyButtonGroup>
<LegacyButton
size="initial"
className="px-2 py-2 text-base text-white"
color="primaryLight"
variant="outlined"
onClick={() => runCommand('setStartSliceForROIThresholdTool')}
>
{t('Start')}
</LegacyButton>
<LegacyButton
size="initial"
color="primaryLight"
variant="outlined"
className="px-2 py-2 text-base text-white"
onClick={() => runCommand('setEndSliceForROIThresholdTool')}
>
{t('End')}
</LegacyButton>
</LegacyButtonGroup>
</div>
</div>
{config.strategy === ROI_STAT && (
<Input
label={t('Percentage of Max SUV')}
labelClassName="text-[13px] font-inter text-white"
className="border-primary-main bg-black"
type="text"
containerClassName="mr-2"
value={config.weight}
onChange={e => {
dispatch({
type: 'setWeight',
payload: {
weight: e.target.value,
},
});
}}
/>
)}
{config.strategy !== ROI_STAT && (
<div className="mr-2 text-sm">
<table>
<tbody>
<tr className="mt-2">
<td
className="pr-4"
colSpan="3"
>
<Label
className="font-inter text-[13px] text-white"
text="Lower & Upper Ranges"
></Label>
</td>
</tr>
<tr className="mt-2">
<td className="pr-4 pt-2 text-center">
<Label
className="text-white"
text="CT"
></Label>
</td>
<td>
<div className="flex justify-between">
<Input
label={t('')}
labelClassName="text-white"
className="border-primary-main mt-2 bg-black"
type="text"
containerClassName="mr-2"
value={config.ctLower}
onChange={e => {
dispatch({
type: 'setThreshold',
payload: {
ctLower: e.target.value,
},
});
}}
/>
<Input
label={t('')}
labelClassName="text-white"
className="border-primary-main mt-2 bg-black"
type="text"
containerClassName="mr-2"
value={config.ctUpper}
onChange={e => {
dispatch({
type: 'setThreshold',
payload: {
ctUpper: e.target.value,
},
});
}}
/>
</div>
</td>
</tr>
<tr>
<td className="pr-4 pt-2 text-center">
<Label
className="text-white"
text="PT"
></Label>
</td>
<td>
<div className="flex justify-between">
<Input
label={t('')}
labelClassName="text-white"
className="border-primary-main mt-2 bg-black"
type="text"
containerClassName="mr-2"
value={config.ptLower}
onChange={e => {
dispatch({
type: 'setThreshold',
payload: {
ptLower: e.target.value,
},
});
}}
/>
<Input
label={t('')}
labelClassName="text-white"
className="border-primary-main mt-2 bg-black"
type="text"
containerClassName="mr-2"
value={config.ptUpper}
onChange={e => {
dispatch({
type: 'setThreshold',
payload: {
ptUpper: e.target.value,
},
});
}}
/>
</div>
</td>
</tr>
</tbody>
</table>
</div>
)}
</div>
);
}
export default ROIThresholdConfiguration;

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import PanelROIThresholdExport from './PanelROIThresholdExport';
export default PanelROIThresholdExport;

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import React from 'react';
import { Input, Dialog, ButtonEnums } from '@ohif/ui';
function segmentationItemEditHandler({ id, servicesManager }: withAppTypes) {
const { segmentationService, uiDialogService } = servicesManager.services;
const segmentation = segmentationService.getSegmentation(id);
const onSubmitHandler = ({ action, value }) => {
switch (action.id) {
case 'save': {
segmentationService.addOrUpdateSegmentation({
...segmentation,
...value,
});
}
}
uiDialogService.dismiss({ id: 'enter-annotation' });
};
uiDialogService.create({
id: 'enter-annotation',
centralize: true,
isDraggable: false,
showOverlay: true,
content: Dialog,
contentProps: {
title: 'Enter your Segmentation',
noCloseButton: true,
value: { label: segmentation.label || '' },
body: ({ value, setValue }) => {
const onChangeHandler = event => {
event.persist();
setValue(value => ({ ...value, label: event.target.value }));
};
const onKeyPressHandler = event => {
if (event.key === 'Enter') {
onSubmitHandler({ value, action: { id: 'save' } });
}
};
return (
<Input
autoFocus
className="border-primary-main bg-black"
type="text"
containerClassName="mr-2"
value={value.label}
onChange={onChangeHandler}
onKeyPress={onKeyPressHandler}
/>
);
},
actions: [
{ id: 'cancel', text: 'Cancel', type: ButtonEnums.type.secondary },
{ id: 'save', text: 'Save', type: ButtonEnums.type.primary },
],
onSubmit: onSubmitHandler,
},
});
}
export default segmentationItemEditHandler;

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import React from 'react';
import {
PanelSegmentation,
useActiveViewportSegmentationRepresentations,
} from '@ohif/extension-cornerstone';
import { Button, Icons } from '@ohif/ui-next';
export default function PanelTMTV({
servicesManager,
commandsManager,
extensionManager,
configuration,
}: withAppTypes) {
return (
<>
<PanelSegmentation
servicesManager={servicesManager}
commandsManager={commandsManager}
extensionManager={extensionManager}
configuration={configuration}
>
<ExportCSV
servicesManager={servicesManager}
commandsManager={commandsManager}
/>
</PanelSegmentation>
</>
);
}
const ExportCSV = ({ servicesManager, commandsManager }: withAppTypes) => {
const { segmentationsWithRepresentations: representations } =
useActiveViewportSegmentationRepresentations({ servicesManager });
const tmtv = representations[0]?.segmentation.cachedStats?.tmtv;
const segmentations = representations.map(representation => representation.segmentation);
if (!segmentations.length) {
return null;
}
return (
<div className="flex h-8 w-full items-center rounded pr-0.5">
<Button
size="sm"
variant="ghost"
className="pl-1.5"
onClick={() => {
commandsManager.runCommand('exportTMTVReportCSV', {
segmentations,
tmtv,
config: {},
});
}}
>
<Icons.Download />
<span className="pl-1">CSV</span>
</Button>
</div>
);
};

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import React, { useState, useCallback, useReducer, useEffect } from 'react';
import { Button } from '@ohif/ui';
import ROIThresholdConfiguration, {
ROI_STAT,
} from './PanelROIThresholdSegmentation/ROIThresholdConfiguration';
import * as cs3dTools from '@cornerstonejs/tools';
const LOWER_CT_THRESHOLD_DEFAULT = -1024;
const UPPER_CT_THRESHOLD_DEFAULT = 1024;
const LOWER_PT_THRESHOLD_DEFAULT = 2.5;
const UPPER_PT_THRESHOLD_DEFAULT = 100;
const WEIGHT_DEFAULT = 0.41; // a default weight for suv max often used in the literature
const DEFAULT_STRATEGY = ROI_STAT;
function reducer(state, action) {
const { payload } = action;
const { strategy, ctLower, ctUpper, ptLower, ptUpper, weight } = payload;
switch (action.type) {
case 'setStrategy':
return {
...state,
strategy,
};
case 'setThreshold':
return {
...state,
ctLower: ctLower ? ctLower : state.ctLower,
ctUpper: ctUpper ? ctUpper : state.ctUpper,
ptLower: ptLower ? ptLower : state.ptLower,
ptUpper: ptUpper ? ptUpper : state.ptUpper,
};
case 'setWeight':
return {
...state,
weight,
};
default:
return state;
}
}
function RectangleROIOptions({ servicesManager, commandsManager }: withAppTypes) {
const { segmentationService } = servicesManager.services;
const [selectedSegmentationId, setSelectedSegmentationId] = useState(null);
const runCommand = useCallback(
(commandName, commandOptions = {}) => {
return commandsManager.runCommand(commandName, commandOptions);
},
[commandsManager]
);
const [config, dispatch] = useReducer(reducer, {
strategy: DEFAULT_STRATEGY,
ctLower: LOWER_CT_THRESHOLD_DEFAULT,
ctUpper: UPPER_CT_THRESHOLD_DEFAULT,
ptLower: LOWER_PT_THRESHOLD_DEFAULT,
ptUpper: UPPER_PT_THRESHOLD_DEFAULT,
weight: WEIGHT_DEFAULT,
});
const handleROIThresholding = useCallback(() => {
const segmentationId = selectedSegmentationId;
const activeSegmentIndex =
cs3dTools.segmentation.segmentIndex.getActiveSegmentIndex(segmentationId);
// run the threshold based on the active segment index
// Todo: later find a way to associate each rectangle with a segment (e.g., maybe with color?)
runCommand('thresholdSegmentationByRectangleROITool', {
segmentationId,
config,
segmentIndex: activeSegmentIndex,
});
}, [selectedSegmentationId, config]);
useEffect(() => {
const segmentations = segmentationService.getSegmentationRepresentations();
if (!segmentations.length) {
return;
}
const isActive = segmentations.find(seg => seg.isActive);
setSelectedSegmentationId(isActive.id);
}, []);
/**
* Update UI based on segmentation changes (added, removed, updated)
*/
useEffect(() => {
// ~~ Subscription
const updated = segmentationService.EVENTS.SEGMENTATION_MODIFIED;
const subscriptions = [];
[updated].forEach(evt => {
const { unsubscribe } = segmentationService.subscribe(evt, () => {
const segmentations = segmentationService.getSegmentationRepresentations();
if (!segmentations.length) {
return;
}
const isActive = segmentations.find(seg => seg.isActive);
setSelectedSegmentationId(isActive.id);
});
subscriptions.push(unsubscribe);
});
return () => {
subscriptions.forEach(unsub => {
unsub();
});
};
}, []);
return (
<div className="invisible-scrollbar mb-2 flex flex-col overflow-y-auto overflow-x-hidden">
<ROIThresholdConfiguration
config={config}
dispatch={dispatch}
runCommand={runCommand}
/>
{selectedSegmentationId !== null && (
<Button
className="mt-2 !h-[26px] !w-[75px]"
onClick={handleROIThresholding}
>
Run
</Button>
)}
</div>
);
}
export default RectangleROIOptions;

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import PanelPetSUV from './PanelPetSUV';
import PanelROIThresholdExport from './PanelROIThresholdSegmentation';
export { PanelPetSUV, PanelROIThresholdExport };

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import OHIF from '@ohif/core';
import * as cs from '@cornerstonejs/core';
import * as csTools from '@cornerstonejs/tools';
import { classes } from '@ohif/core';
import getThresholdValues from './utils/getThresholdValue';
import createAndDownloadTMTVReport from './utils/createAndDownloadTMTVReport';
import dicomRTAnnotationExport from './utils/dicomRTAnnotationExport/RTStructureSet';
import { getWebWorkerManager } from '@cornerstonejs/core';
import { Enums } from '@cornerstonejs/tools';
const { SegmentationRepresentations } = Enums;
const metadataProvider = classes.MetadataProvider;
const ROI_THRESHOLD_MANUAL_TOOL_IDS = [
'RectangleROIStartEndThreshold',
'RectangleROIThreshold',
'CircleROIStartEndThreshold',
];
const workerManager = getWebWorkerManager();
const options = {
maxWorkerInstances: 1,
autoTerminateOnIdle: {
enabled: true,
idleTimeThreshold: 3000,
},
};
// Register the task
const workerFn = () => {
return new Worker(new URL('./utils/calculateSUVPeakWorker.js', import.meta.url), {
name: 'suv-peak-worker', // name used by the browser to name the worker
});
};
function getVolumesFromSegmentation(segmentationId) {
const csSegmentation = csTools.segmentation.state.getSegmentation(segmentationId);
const labelmapData = csSegmentation.representationData[
SegmentationRepresentations.Labelmap
] as csTools.Types.LabelmapToolOperationDataVolume;
const { volumeId, referencedVolumeId } = labelmapData;
const labelmapVolume = cs.cache.getVolume(volumeId);
const referencedVolume = cs.cache.getVolume(referencedVolumeId);
return { labelmapVolume, referencedVolume };
}
function getLabelmapVolumeFromSegmentation(segmentation) {
const { representationData } = segmentation;
const { volumeId } = representationData[
SegmentationRepresentations.Labelmap
] as csTools.Types.LabelmapToolOperationDataVolume;
return cs.cache.getVolume(volumeId);
}
const commandsModule = ({ servicesManager, commandsManager, extensionManager }: withAppTypes) => {
const {
viewportGridService,
uiNotificationService,
displaySetService,
hangingProtocolService,
toolGroupService,
cornerstoneViewportService,
segmentationService,
} = servicesManager.services;
const utilityModule = extensionManager.getModuleEntry(
'@ohif/extension-cornerstone.utilityModule.common'
);
const { getEnabledElement } = utilityModule.exports;
function _getActiveViewportsEnabledElement() {
const { activeViewportId } = viewportGridService.getState();
const { element } = getEnabledElement(activeViewportId) || {};
const enabledElement = cs.getEnabledElement(element);
return enabledElement;
}
function _getAnnotationsSelectedByToolNames(toolNames) {
return toolNames.reduce((allAnnotationUIDs, toolName) => {
const annotationUIDs =
csTools.annotation.selection.getAnnotationsSelectedByToolName(toolName);
return allAnnotationUIDs.concat(annotationUIDs);
}, []);
}
const actions = {
getMatchingPTDisplaySet: ({ viewportMatchDetails }) => {
// Todo: this is assuming that the hanging protocol has successfully matched
// the correct PT. For future, we should have a way to filter out the PTs
// that are in the viewer layout (but then we have the problem of the attenuation
// corrected PT vs the non-attenuation correct PT)
let ptDisplaySet = null;
for (const [viewportId, viewportDetails] of viewportMatchDetails) {
const { displaySetsInfo } = viewportDetails;
const displaySets = displaySetsInfo.map(({ displaySetInstanceUID }) =>
displaySetService.getDisplaySetByUID(displaySetInstanceUID)
);
if (!displaySets || displaySets.length === 0) {
continue;
}
ptDisplaySet = displaySets.find(displaySet => displaySet.Modality === 'PT');
if (ptDisplaySet) {
break;
}
}
return ptDisplaySet;
},
getPTMetadata: ({ ptDisplaySet }) => {
const dataSource = extensionManager.getDataSources()[0];
const imageIds = dataSource.getImageIdsForDisplaySet(ptDisplaySet);
const firstImageId = imageIds[0];
const instance = metadataProvider.get('instance', firstImageId);
if (instance.Modality !== 'PT') {
return;
}
const metadata = {
SeriesTime: instance.SeriesTime,
Modality: instance.Modality,
PatientSex: instance.PatientSex,
PatientWeight: instance.PatientWeight,
RadiopharmaceuticalInformationSequence: {
RadionuclideTotalDose:
instance.RadiopharmaceuticalInformationSequence[0].RadionuclideTotalDose,
RadionuclideHalfLife:
instance.RadiopharmaceuticalInformationSequence[0].RadionuclideHalfLife,
RadiopharmaceuticalStartTime:
instance.RadiopharmaceuticalInformationSequence[0].RadiopharmaceuticalStartTime,
RadiopharmaceuticalStartDateTime:
instance.RadiopharmaceuticalInformationSequence[0].RadiopharmaceuticalStartDateTime,
},
};
return metadata;
},
createNewLabelmapFromPT: async ({ label }) => {
// Create a segmentation of the same resolution as the source data
// using volumeLoader.createAndCacheDerivedVolume.
const { viewportMatchDetails } = hangingProtocolService.getMatchDetails();
const ptDisplaySet = actions.getMatchingPTDisplaySet({
viewportMatchDetails,
});
let withPTViewportId = null;
for (const [viewportId, { displaySetsInfo }] of viewportMatchDetails.entries()) {
const isPT = displaySetsInfo.some(
({ displaySetInstanceUID }) =>
displaySetInstanceUID === ptDisplaySet.displaySetInstanceUID
);
if (isPT) {
withPTViewportId = viewportId;
break;
}
}
if (!ptDisplaySet) {
uiNotificationService.error('No matching PT display set found');
return;
}
const currentSegmentations =
segmentationService.getSegmentationRepresentations(withPTViewportId);
const displaySet = displaySetService.getDisplaySetByUID(ptDisplaySet.displaySetInstanceUID);
const segmentationId = await segmentationService.createLabelmapForDisplaySet(displaySet, {
label: `Segmentation ${currentSegmentations.length + 1}`,
segments: { 1: { label: 'Segment 1', active: true } },
});
segmentationService.addSegmentationRepresentation(withPTViewportId, {
segmentationId,
});
return segmentationId;
},
thresholdSegmentationByRectangleROITool: ({ segmentationId, config, segmentIndex }) => {
const segmentation = csTools.segmentation.state.getSegmentation(segmentationId);
const { representationData } = segmentation;
const { displaySetMatchDetails: matchDetails } = hangingProtocolService.getMatchDetails();
const volumeLoaderScheme = 'cornerstoneStreamingImageVolume'; // Loader id which defines which volume loader to use
const ctDisplaySet = matchDetails.get('ctDisplaySet');
const ctVolumeId = `${volumeLoaderScheme}:${ctDisplaySet.displaySetInstanceUID}`; // VolumeId with loader id + volume id
const { volumeId: segVolumeId } = representationData[
SegmentationRepresentations.Labelmap
] as csTools.Types.LabelmapToolOperationDataVolume;
const { referencedVolumeId } = cs.cache.getVolume(segVolumeId);
const annotationUIDs = _getAnnotationsSelectedByToolNames(ROI_THRESHOLD_MANUAL_TOOL_IDS);
if (annotationUIDs.length === 0) {
uiNotificationService.show({
title: 'Commands Module',
message: 'No ROIThreshold Tool is Selected',
type: 'error',
});
return;
}
const labelmapVolume = cs.cache.getVolume(segmentationId);
let referencedVolume = cs.cache.getVolume(referencedVolumeId);
const ctReferencedVolume = cs.cache.getVolume(ctVolumeId);
// check if viewport is
if (!referencedVolume) {
throw new Error('No Reference volume found');
}
if (!labelmapVolume) {
throw new Error('No Reference labelmap found');
}
const annotation = csTools.annotation.state.getAnnotation(annotationUIDs[0]);
const {
metadata: {
enabledElement: { viewport },
},
} = annotation;
const showingReferenceVolume = viewport.hasVolumeId(referencedVolumeId);
if (!showingReferenceVolume) {
// if the reference volume is not being displayed, we can't
// rely on it for thresholding, we have couple of options here
// 1. We choose whatever volume is being displayed
// 2. We check if it is a fusion viewport, we pick the volume
// that matches the size and dimensions of the labelmap. This might
// happen if the 4D PT is converted to a computed volume and displayed
// and wants to threshold the labelmap
// 3. We throw an error
const displaySetInstanceUIDs = viewportGridService.getDisplaySetsUIDsForViewport(
viewport.id
);
displaySetInstanceUIDs.forEach(displaySetInstanceUID => {
const volume = cs.cache
.getVolumes()
.find(volume => volume.volumeId.includes(displaySetInstanceUID));
if (
cs.utilities.isEqual(volume.dimensions, labelmapVolume.dimensions) &&
cs.utilities.isEqual(volume.spacing, labelmapVolume.spacing)
) {
referencedVolume = volume;
}
});
}
const { ptLower, ptUpper, ctLower, ctUpper } = getThresholdValues(
annotationUIDs,
[referencedVolume, ctReferencedVolume],
config
);
return csTools.utilities.segmentation.rectangleROIThresholdVolumeByRange(
annotationUIDs,
labelmapVolume,
[
{ volume: referencedVolume, lower: ptLower, upper: ptUpper },
{ volume: ctReferencedVolume, lower: ctLower, upper: ctUpper },
],
{ overwrite: true, segmentIndex }
);
},
calculateSuvPeak: async ({ segmentationId, segmentIndex }) => {
const segmentation = segmentationService.getSegmentation(segmentationId);
const { representationData } = segmentation;
const { volumeId, referencedVolumeId } = representationData[
SegmentationRepresentations.Labelmap
] as csTools.Types.LabelmapToolOperationDataVolume;
const labelmap = cs.cache.getVolume(volumeId);
const referencedVolume = cs.cache.getVolume(referencedVolumeId);
// if we put it in the top, it will appear in other modes
workerManager.registerWorker('suv-peak-worker', workerFn, options);
const annotationUIDs = _getAnnotationsSelectedByToolNames(ROI_THRESHOLD_MANUAL_TOOL_IDS);
const annotations = annotationUIDs.map(annotationUID =>
csTools.annotation.state.getAnnotation(annotationUID)
);
const labelmapProps = {
dimensions: labelmap.dimensions,
origin: labelmap.origin,
direction: labelmap.direction,
spacing: labelmap.spacing,
metadata: labelmap.metadata,
scalarData: labelmap.voxelManager.getCompleteScalarDataArray(),
};
const referenceVolumeProps = {
dimensions: referencedVolume.dimensions,
origin: referencedVolume.origin,
direction: referencedVolume.direction,
spacing: referencedVolume.spacing,
metadata: referencedVolume.metadata,
scalarData: referencedVolume.voxelManager.getCompleteScalarDataArray(),
};
// metadata in annotations has enabledElement which is not serializable
// we need to remove it
// Todo: we should probably have a sanitization function for this
const annotationsToSend = annotations.map(annotation => {
return {
...annotation,
metadata: {
...annotation.metadata,
enabledElement: {
...annotation.metadata.enabledElement,
viewport: null,
renderingEngine: null,
element: null,
},
},
};
});
const suvPeak =
(await workerManager.executeTask('suv-peak-worker', 'calculateSuvPeak', {
labelmapProps,
referenceVolumeProps,
annotations: annotationsToSend,
segmentIndex,
})) || {};
return {
suvPeak: suvPeak.mean,
suvMax: suvPeak.max,
suvMaxIJK: suvPeak.maxIJK,
suvMaxLPS: suvPeak.maxLPS,
};
},
getLesionStats: ({ segmentationId, segmentIndex = 1 }) => {
const { labelmapVolume, referencedVolume } = getVolumesFromSegmentation(segmentationId);
const { voxelManager: segVoxelManager, imageData, spacing } = labelmapVolume;
const { voxelManager: refVoxelManager } = referencedVolume;
let segmentationMax = -Infinity;
let segmentationMin = Infinity;
const segmentationValues = [];
let voxelCount = 0;
const callback = ({ value, index }) => {
if (value === segmentIndex) {
const refValue = refVoxelManager.getAtIndex(index) as number;
segmentationValues.push(refValue);
if (refValue > segmentationMax) {
segmentationMax = refValue;
}
if (refValue < segmentationMin) {
segmentationMin = refValue;
}
voxelCount++;
}
};
segVoxelManager.forEach(callback, { imageData });
const mean = segmentationValues.reduce((a, b) => a + b, 0) / voxelCount;
const stats = {
minValue: segmentationMin,
maxValue: segmentationMax,
meanValue: mean,
stdValue: Math.sqrt(
segmentationValues.map(k => (k - mean) ** 2).reduce((acc, curr) => acc + curr, 0) /
voxelCount
),
volume: voxelCount * spacing[0] * spacing[1] * spacing[2] * 1e-3,
};
return stats;
},
calculateLesionGlycolysis: ({ lesionStats }) => {
const { meanValue, volume } = lesionStats;
return {
lesionGlyoclysisStats: volume * meanValue,
};
},
calculateTMTV: async ({ segmentations }) => {
const labelmapProps = segmentations.map(segmentation => {
const labelmap = getLabelmapVolumeFromSegmentation(segmentation);
return {
dimensions: labelmap.dimensions,
spacing: labelmap.spacing,
scalarData: labelmap.voxelManager.getCompleteScalarDataArray(),
origin: labelmap.origin,
direction: labelmap.direction,
};
});
if (!labelmapProps.length) {
return;
}
return await workerManager.executeTask('suv-peak-worker', 'calculateTMTV', labelmapProps);
},
exportTMTVReportCSV: async ({ segmentations, tmtv, config, options }) => {
const segReport = commandsManager.runCommand('getSegmentationCSVReport', {
segmentations,
});
const tlg = await actions.getTotalLesionGlycolysis({ segmentations });
const additionalReportRows = [
{ key: 'Total Lesion Glycolysis', value: { tlg: tlg.toFixed(4) } },
{ key: 'Threshold Configuration', value: { ...config } },
];
if (tmtv !== undefined) {
additionalReportRows.unshift({
key: 'Total Metabolic Tumor Volume',
value: { tmtv },
});
}
createAndDownloadTMTVReport(segReport, additionalReportRows, options);
},
getTotalLesionGlycolysis: async ({ segmentations }) => {
const labelmapProps = segmentations.map(segmentation => {
const labelmap = getLabelmapVolumeFromSegmentation(segmentation);
return {
dimensions: labelmap.dimensions,
spacing: labelmap.spacing,
scalarData: labelmap.voxelManager.getCompleteScalarDataArray(),
origin: labelmap.origin,
direction: labelmap.direction,
};
});
const { referencedVolume: ptVolume } = getVolumesFromSegmentation(
segmentations[0].segmentationId
);
const ptVolumeProps = {
dimensions: ptVolume.dimensions,
spacing: ptVolume.spacing,
scalarData: ptVolume.voxelManager.getCompleteScalarDataArray(),
origin: ptVolume.origin,
direction: ptVolume.direction,
};
return await workerManager.executeTask('suv-peak-worker', 'getTotalLesionGlycolysis', {
labelmapProps,
referenceVolumeProps: ptVolumeProps,
});
},
setStartSliceForROIThresholdTool: () => {
const { viewport } = _getActiveViewportsEnabledElement();
const { focalPoint } = viewport.getCamera();
const selectedAnnotationUIDs = _getAnnotationsSelectedByToolNames(
ROI_THRESHOLD_MANUAL_TOOL_IDS
);
const annotationUID = selectedAnnotationUIDs[0];
const annotation = csTools.annotation.state.getAnnotation(annotationUID);
// set the current focal point
annotation.data.startCoordinate = focalPoint;
// IMPORTANT: invalidate the toolData for the cached stat to get updated
// and re-calculate the projection points
annotation.invalidated = true;
viewport.render();
},
setEndSliceForROIThresholdTool: () => {
const { viewport } = _getActiveViewportsEnabledElement();
const selectedAnnotationUIDs = _getAnnotationsSelectedByToolNames(
ROI_THRESHOLD_MANUAL_TOOL_IDS
);
const annotationUID = selectedAnnotationUIDs[0];
const annotation = csTools.annotation.state.getAnnotation(annotationUID);
// get the current focal point
const focalPointToEnd = viewport.getCamera().focalPoint;
annotation.data.endCoordinate = focalPointToEnd;
// IMPORTANT: invalidate the toolData for the cached stat to get updated
// and re-calculate the projection points
annotation.invalidated = true;
viewport.render();
},
createTMTVRTReport: () => {
// get all Rectangle ROI annotation
const stateManager = csTools.annotation.state.getAnnotationManager();
const annotations = [];
Object.keys(stateManager.annotations).forEach(frameOfReferenceUID => {
const forAnnotations = stateManager.annotations[frameOfReferenceUID];
const ROIAnnotations = ROI_THRESHOLD_MANUAL_TOOL_IDS.reduce(
(annotations, toolName) => [...annotations, ...(forAnnotations[toolName] ?? [])],
[]
);
annotations.push(...ROIAnnotations);
});
commandsManager.runCommand('exportRTReportForAnnotations', {
annotations,
});
},
getSegmentationCSVReport: ({ segmentations }) => {
if (!segmentations || !segmentations.length) {
segmentations = segmentationService.getSegmentations();
}
const report = {};
for (const segmentation of segmentations) {
const { label, segmentationId, representationData } =
segmentation as csTools.Types.Segmentation;
const id = segmentationId;
const segReport = { id, label };
if (!representationData) {
report[id] = segReport;
continue;
}
const { cachedStats } = segmentation.segments[1] || {}; // Assuming we want stats from the first segment
if (cachedStats) {
Object.entries(cachedStats).forEach(([key, value]) => {
if (typeof value !== 'object') {
segReport[key] = value;
} else {
Object.entries(value).forEach(([subKey, subValue]) => {
const newKey = `${key}_${subKey}`;
segReport[newKey] = subValue;
});
}
});
}
const labelmapVolume =
segmentation.representationData[SegmentationRepresentations.Labelmap];
if (!labelmapVolume) {
report[id] = segReport;
continue;
}
const referencedVolumeId = labelmapVolume.referencedVolumeId;
const referencedVolume = cs.cache.getVolume(referencedVolumeId);
if (!referencedVolume) {
report[id] = segReport;
continue;
}
if (!referencedVolume.imageIds || !referencedVolume.imageIds.length) {
report[id] = segReport;
continue;
}
const firstImageId = referencedVolume.imageIds[0];
const instance = OHIF.classes.MetadataProvider.get('instance', firstImageId);
if (!instance) {
report[id] = segReport;
continue;
}
report[id] = {
...segReport,
PatientID: instance.PatientID ?? '000000',
PatientName: instance.PatientName.Alphabetic,
StudyInstanceUID: instance.StudyInstanceUID,
SeriesInstanceUID: instance.SeriesInstanceUID,
StudyDate: instance.StudyDate,
};
}
return report;
},
exportRTReportForAnnotations: ({ annotations }) => {
dicomRTAnnotationExport(annotations);
},
setFusionPTColormap: ({ toolGroupId, colormap }) => {
const toolGroup = toolGroupService.getToolGroup(toolGroupId);
if (!toolGroup) {
return;
}
const { viewportMatchDetails } = hangingProtocolService.getMatchDetails();
const ptDisplaySet = actions.getMatchingPTDisplaySet({
viewportMatchDetails,
});
if (!ptDisplaySet) {
return;
}
const fusionViewportIds = toolGroup.getViewportIds();
const viewports = [];
fusionViewportIds.forEach(viewportId => {
commandsManager.runCommand('setViewportColormap', {
viewportId,
displaySetInstanceUID: ptDisplaySet.displaySetInstanceUID,
colormap: {
name: colormap,
},
});
viewports.push(cornerstoneViewportService.getCornerstoneViewport(viewportId));
});
viewports.forEach(viewport => {
viewport.render();
});
},
};
const definitions = {
setEndSliceForROIThresholdTool: {
commandFn: actions.setEndSliceForROIThresholdTool,
},
setStartSliceForROIThresholdTool: {
commandFn: actions.setStartSliceForROIThresholdTool,
},
getMatchingPTDisplaySet: {
commandFn: actions.getMatchingPTDisplaySet,
},
getPTMetadata: {
commandFn: actions.getPTMetadata,
},
createNewLabelmapFromPT: {
commandFn: actions.createNewLabelmapFromPT,
},
thresholdSegmentationByRectangleROITool: {
commandFn: actions.thresholdSegmentationByRectangleROITool,
},
getTotalLesionGlycolysis: {
commandFn: actions.getTotalLesionGlycolysis,
},
calculateSuvPeak: {
commandFn: actions.calculateSuvPeak,
},
getLesionStats: {
commandFn: actions.getLesionStats,
},
calculateTMTV: {
commandFn: actions.calculateTMTV,
},
exportTMTVReportCSV: {
commandFn: actions.exportTMTVReportCSV,
},
createTMTVRTReport: {
commandFn: actions.createTMTVRTReport,
},
getSegmentationCSVReport: {
commandFn: actions.getSegmentationCSVReport,
},
exportRTReportForAnnotations: {
commandFn: actions.exportRTReportForAnnotations,
},
setFusionPTColormap: {
commandFn: actions.setFusionPTColormap,
},
};
return {
actions,
definitions,
defaultContext: 'TMTV:CORNERSTONE',
};
};
export default commandsModule;

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import {
ctAXIAL,
ctCORONAL,
ctSAGITTAL,
fusionAXIAL,
fusionCORONAL,
fusionSAGITTAL,
mipSAGITTAL,
ptAXIAL,
ptCORONAL,
ptSAGITTAL,
} from './utils/hpViewports';
/**
* represents a 3x4 viewport layout configuration. The layout displays CT axial, sagittal, and coronal
* images in the first row, PT axial, sagittal, and coronal images in the second row, and fusion axial,
* sagittal, and coronal images in the third row. The fourth column is fully spanned by a MIP sagittal
* image, covering all three rows. It has synchronizers for windowLevel for all CT and PT images, and
* also camera synchronizer for each orientation
*/
const stage1: AppTypes.HangingProtocol.ProtocolStage = {
name: 'default',
id: 'default',
viewportStructure: {
layoutType: 'grid',
properties: {
rows: 3,
columns: 4,
layoutOptions: [
{
x: 0,
y: 0,
width: 1 / 4,
height: 1 / 3,
},
{
x: 1 / 4,
y: 0,
width: 1 / 4,
height: 1 / 3,
},
{
x: 2 / 4,
y: 0,
width: 1 / 4,
height: 1 / 3,
},
{
x: 0,
y: 1 / 3,
width: 1 / 4,
height: 1 / 3,
},
{
x: 1 / 4,
y: 1 / 3,
width: 1 / 4,
height: 1 / 3,
},
{
x: 2 / 4,
y: 1 / 3,
width: 1 / 4,
height: 1 / 3,
},
{
x: 0,
y: 2 / 3,
width: 1 / 4,
height: 1 / 3,
},
{
x: 1 / 4,
y: 2 / 3,
width: 1 / 4,
height: 1 / 3,
},
{
x: 2 / 4,
y: 2 / 3,
width: 1 / 4,
height: 1 / 3,
},
{
x: 3 / 4,
y: 0,
width: 1 / 4,
height: 1,
},
],
},
},
viewports: [
ctAXIAL,
ctSAGITTAL,
ctCORONAL,
ptAXIAL,
ptSAGITTAL,
ptCORONAL,
fusionAXIAL,
fusionSAGITTAL,
fusionCORONAL,
mipSAGITTAL,
],
createdDate: '2021-02-23T18:32:42.850Z',
};
/**
* The layout displays CT axial image in the top-left viewport, fusion axial image
* in the top-right viewport, PT axial image in the bottom-left viewport, and MIP
* sagittal image in the bottom-right viewport. The layout follows a simple grid
* pattern with 2 rows and 2 columns. It includes synchronizers as well.
*/
const stage2 = {
name: 'Fusion 2x2',
id: 'Fusion-2x2',
viewportStructure: {
layoutType: 'grid',
properties: {
rows: 2,
columns: 2,
},
},
viewports: [ctAXIAL, fusionAXIAL, ptAXIAL, mipSAGITTAL],
};
/**
* The top row displays CT images in axial, sagittal, and coronal orientations from
* left to right, respectively. The bottom row displays PT images in axial, sagittal,
* and coronal orientations from left to right, respectively.
* The layout follows a simple grid pattern with 2 rows and 3 columns.
* It includes synchronizers as well.
*/
const stage3: AppTypes.HangingProtocol.ProtocolStage = {
name: '2x3-layout',
id: '2x3-layout',
viewportStructure: {
layoutType: 'grid',
properties: {
rows: 2,
columns: 3,
},
},
viewports: [ctAXIAL, ctSAGITTAL, ctCORONAL, ptAXIAL, ptSAGITTAL, ptCORONAL],
};
/**
* In this layout, the top row displays PT images in coronal, sagittal, and axial
* orientations from left to right, respectively, followed by a MIP sagittal image
* that spans both rows on the rightmost side. The bottom row displays fusion images
* in coronal, sagittal, and axial orientations from left to right, respectively.
* There is no viewport in the bottom row's rightmost position, as the MIP sagittal viewport
* from the top row spans the full height of both rows.
* It includes synchronizers as well.
*/
const stage4: AppTypes.HangingProtocol.ProtocolStage = {
name: '2x4-layout',
id: '2x4-layout',
viewportStructure: {
layoutType: 'grid',
properties: {
rows: 2,
columns: 4,
layoutOptions: [
{
x: 0,
y: 0,
width: 1 / 4,
height: 1 / 2,
},
{
x: 1 / 4,
y: 0,
width: 1 / 4,
height: 1 / 2,
},
{
x: 2 / 4,
y: 0,
width: 1 / 4,
height: 1 / 2,
},
{
x: 3 / 4,
y: 0,
width: 1 / 4,
height: 1,
},
{
x: 0,
y: 1 / 2,
width: 1 / 4,
height: 1 / 2,
},
{
x: 1 / 4,
y: 1 / 2,
width: 1 / 4,
height: 1 / 2,
},
{
x: 2 / 4,
y: 1 / 2,
width: 1 / 4,
height: 1 / 2,
},
],
},
},
viewports: [
ptCORONAL,
ptSAGITTAL,
ptAXIAL,
mipSAGITTAL,
fusionCORONAL,
fusionSAGITTAL,
fusionAXIAL,
],
};
/**
* This layout displays three fusion viewports: axial, sagittal, and coronal.
* It follows a simple grid pattern with 1 row and 3 columns.
*/
// const stage0: AppTypes.HangingProtocol.ProtocolStage = {
// name: 'Fusion 1x3',
// viewportStructure: {
// layoutType: 'grid',
// properties: {
// rows: 1,
// columns: 3,
// },
// },
// viewports: [fusionAXIAL, fusionSAGITTAL, fusionCORONAL],
// };
const ptCT: AppTypes.HangingProtocol.Protocol = {
id: '@ohif/extension-tmtv.hangingProtocolModule.ptCT',
locked: true,
name: 'Default',
createdDate: '2021-02-23T19:22:08.894Z',
modifiedDate: '2022-10-04T19:22:08.894Z',
availableTo: {},
editableBy: {},
imageLoadStrategy: 'interleaveTopToBottom', // "default" , "interleaveTopToBottom", "interleaveCenter"
protocolMatchingRules: [
{
attribute: 'ModalitiesInStudy',
constraint: {
contains: ['CT', 'PT'],
},
},
{
attribute: 'StudyDescription',
constraint: {
contains: 'PETCT',
},
},
{
attribute: 'StudyDescription',
constraint: {
contains: 'PET/CT',
},
},
],
displaySetSelectors: {
ctDisplaySet: {
seriesMatchingRules: [
{
attribute: 'Modality',
constraint: {
equals: {
value: 'CT',
},
},
required: true,
},
{
attribute: 'isReconstructable',
constraint: {
equals: {
value: true,
},
},
required: true,
},
{
attribute: 'SeriesDescription',
constraint: {
contains: 'CT',
},
},
{
attribute: 'SeriesDescription',
constraint: {
contains: 'CT WB',
},
},
],
},
ptDisplaySet: {
seriesMatchingRules: [
{
attribute: 'Modality',
constraint: {
equals: 'PT',
},
required: true,
},
{
attribute: 'isReconstructable',
constraint: {
equals: {
value: true,
},
},
required: true,
},
{
attribute: 'SeriesDescription',
constraint: {
contains: 'Corrected',
},
},
{
weight: 2,
attribute: 'SeriesDescription',
constraint: {
doesNotContain: {
value: 'Uncorrected',
},
},
},
],
},
},
stages: [stage1, stage2, stage3, stage4],
numberOfPriorsReferenced: -1,
};
function getHangingProtocolModule() {
return [
{
name: ptCT.id,
protocol: ptCT,
},
];
}
export default getHangingProtocolModule;

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import React from 'react';
import { PanelPetSUV, PanelROIThresholdExport } from './Panels';
import { Toolbox } from '@ohif/ui-next';
import PanelTMTV from './Panels/PanelTMTV';
function getPanelModule({ commandsManager, extensionManager, servicesManager }) {
const wrappedPanelPetSuv = () => {
return (
<PanelPetSUV
commandsManager={commandsManager}
servicesManager={servicesManager}
extensionManager={extensionManager}
/>
);
};
const wrappedROIThresholdToolbox = () => {
return (
<Toolbox
commandsManager={commandsManager}
servicesManager={servicesManager}
extensionManager={extensionManager}
buttonSectionId="ROIThresholdToolbox"
title="Threshold Tools"
/>
);
};
const wrappedROIThresholdExport = () => {
return (
<PanelROIThresholdExport
commandsManager={commandsManager}
servicesManager={servicesManager}
/>
);
};
const wrappedPanelTMTV = () => {
return (
<>
<Toolbox
commandsManager={commandsManager}
servicesManager={servicesManager}
extensionManager={extensionManager}
buttonSectionId="ROIThresholdToolbox"
title="Threshold Tools"
/>
<PanelTMTV
commandsManager={commandsManager}
servicesManager={servicesManager}
/>
<PanelROIThresholdExport
commandsManager={commandsManager}
servicesManager={servicesManager}
/>
</>
);
};
return [
{
name: 'petSUV',
iconName: 'tab-patient-info',
iconLabel: 'Patient Info',
label: 'Patient Info',
component: wrappedPanelPetSuv,
},
{
name: 'tmtv',
iconName: 'tab-segmentation',
iconLabel: 'Segmentation',
component: wrappedPanelTMTV,
},
{
name: 'tmtvBox',
iconName: 'tab-segmentation',
iconLabel: 'Segmentation',
label: 'Segmentation Toolbox',
component: wrappedROIThresholdToolbox,
},
{
name: 'tmtvExport',
iconName: 'tab-segmentation',
iconLabel: 'Segmentation',
label: 'Segmentation Export',
component: wrappedROIThresholdExport,
},
];
}
export default getPanelModule;

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import RectangleROIOptions from './Panels/RectangleROIOptions';
export default function getToolbarModule({ commandsManager, servicesManager }) {
return [
{
name: 'tmtv.RectangleROIThresholdOptions',
defaultComponent: () => RectangleROIOptions({ commandsManager, servicesManager }),
},
];
}

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import packageJson from '../package.json';
const id = packageJson.name;
export { id };

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import { id } from './id';
import getHangingProtocolModule from './getHangingProtocolModule';
import getPanelModule from './getPanelModule';
import init from './init';
import commandsModule from './commandsModule';
import getToolbarModule from './getToolbarModule';
/**
*
*/
const tmtvExtension = {
/**
* Only required property. Should be a unique value across all extensions.
*/
id,
preRegistration({ servicesManager, commandsManager, extensionManager, configuration = {} }) {
init({ servicesManager, commandsManager, extensionManager, configuration });
},
getToolbarModule,
getPanelModule,
getHangingProtocolModule,
getCommandsModule({ servicesManager, commandsManager, extensionManager }) {
return commandsModule({
servicesManager,
commandsManager,
extensionManager,
});
},
};
export default tmtvExtension;

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import {
addTool,
RectangleROIStartEndThresholdTool,
CircleROIStartEndThresholdTool,
} from '@cornerstonejs/tools';
import { Enums as CSExtensionEnums } from '@ohif/extension-cornerstone';
import measurementServiceMappingsFactory from './utils/measurementServiceMappings/measurementServiceMappingsFactory';
const { CORNERSTONE_3D_TOOLS_SOURCE_NAME, CORNERSTONE_3D_TOOLS_SOURCE_VERSION } = CSExtensionEnums;
/**
*
* @param {Object} servicesManager
* @param {Object} configuration
* @param {Object|Array} configuration.csToolsConfig
*/
export default function init({ servicesManager }) {
const { measurementService, displaySetService, cornerstoneViewportService } =
servicesManager.services;
addTool(RectangleROIStartEndThresholdTool);
addTool(CircleROIStartEndThresholdTool);
const { RectangleROIStartEndThreshold, CircleROIStartEndThreshold } =
measurementServiceMappingsFactory(
measurementService,
displaySetService,
cornerstoneViewportService
);
const csTools3DVer1MeasurementSource = measurementService.getSource(
CORNERSTONE_3D_TOOLS_SOURCE_NAME,
CORNERSTONE_3D_TOOLS_SOURCE_VERSION
);
measurementService.addMapping(
csTools3DVer1MeasurementSource,
'RectangleROIStartEndThreshold',
RectangleROIStartEndThreshold.matchingCriteria,
RectangleROIStartEndThreshold.toAnnotation,
RectangleROIStartEndThreshold.toMeasurement
);
measurementService.addMapping(
csTools3DVer1MeasurementSource,
'CircleROIStartEndThreshold',
CircleROIStartEndThreshold.matchingCriteria,
CircleROIStartEndThreshold.toAnnotation,
CircleROIStartEndThreshold.toMeasurement
);
}

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import { utilities } from '@cornerstonejs/core';
import { utilities as cstUtils } from '@cornerstonejs/tools';
import { vec3 } from 'gl-matrix';
import vtkImageData from '@kitware/vtk.js/Common/DataModel/ImageData';
import vtkDataArray from '@kitware/vtk.js/Common/Core/DataArray';
import { expose } from 'comlink';
const createVolume = ({ dimensions, origin, direction, spacing, metadata, scalarData }) => {
const imageData = vtkImageData.newInstance();
imageData.setDimensions(dimensions);
imageData.setOrigin(origin);
imageData.setDirection(direction);
imageData.setSpacing(spacing);
const scalarArray = vtkDataArray.newInstance({
name: 'Pixels',
numberOfComponents: 1,
values: scalarData,
});
imageData.getPointData().setScalars(scalarArray);
imageData.modified();
const voxelManager = utilities.VoxelManager.createScalarVolumeVoxelManager({
scalarData,
dimensions,
numberOfComponents: 1,
});
return {
imageData,
spacing,
origin,
direction,
metadata,
voxelManager,
};
};
/**
* This method calculates the SUV peak on a segmented ROI from a reference PET
* volume. If a rectangle annotation is provided, the peak is calculated within that
* rectangle. Otherwise, the calculation is performed on the entire volume which
* will be slower but same result.
* @param viewport Viewport to use for the calculation
* @param labelmap Labelmap from which the mask is taken
* @param referenceVolume PET volume to use for SUV calculation
* @param toolData [Optional] list of toolData to use for SUV calculation
* @param segmentIndex The index of the segment to use for masking
* @returns
*/
function calculateSuvPeak({ labelmapProps, referenceVolumeProps, annotations, segmentIndex = 1 }) {
const labelmapInfo = createVolume(labelmapProps);
const referenceInfo = createVolume(referenceVolumeProps);
if (referenceInfo.metadata.Modality !== 'PT') {
return;
}
const { dimensions, imageData: labelmapImageData } = labelmapInfo;
const { imageData: referenceVolumeImageData } = referenceInfo;
let boundsIJK;
// Todo: using the first annotation for now
if (annotations?.length && annotations[0].data?.cachedStats) {
const { projectionPoints } = annotations[0].data.cachedStats;
const pointsToUse = [].concat(...projectionPoints); // cannot use flat() because of typescript compiler right now
const rectangleCornersIJK = pointsToUse.map(world => {
const ijk = vec3.fromValues(0, 0, 0);
referenceVolumeImageData.worldToIndex(world, ijk);
return ijk;
});
boundsIJK = cstUtils.boundingBox.getBoundingBoxAroundShape(rectangleCornersIJK, dimensions);
}
let max = 0;
let maxIJK = [0, 0, 0];
let maxLPS = [0, 0, 0];
const callback = ({ pointIJK, pointLPS }) => {
const value = labelmapInfo.voxelManager.getAtIJKPoint(pointIJK);
if (value !== segmentIndex) {
return;
}
const referenceValue = referenceInfo.voxelManager.getAtIJKPoint(pointIJK);
if (referenceValue > max) {
max = referenceValue;
maxIJK = pointIJK;
maxLPS = pointLPS;
}
};
labelmapInfo.voxelManager.forEach(callback, {
boundsIJK,
imageData: labelmapImageData,
isInObject: () => true,
returnPoints: true,
});
const direction = labelmapImageData.getDirection().slice(0, 3);
/**
* 2. Find the bottom and top of the great circle for the second sphere (1cc sphere)
* V = (4/3)πr3
*/
const radius = Math.pow(1 / ((4 / 3) * Math.PI), 1 / 3) * 10;
const diameter = radius * 2;
const secondaryCircleWorld = vec3.create();
const bottomWorld = vec3.create();
const topWorld = vec3.create();
referenceVolumeImageData.indexToWorld(maxIJK, secondaryCircleWorld);
vec3.scaleAndAdd(bottomWorld, secondaryCircleWorld, direction, -diameter / 2);
vec3.scaleAndAdd(topWorld, secondaryCircleWorld, direction, diameter / 2);
const suvPeakCirclePoints = [bottomWorld, topWorld];
/**
* 3. Find the Mean and Max of the 1cc sphere centered on the suv Max of the previous
* sphere
*/
let count = 0;
let acc = 0;
const suvPeakMeanCallback = ({ value }) => {
acc += value;
count += 1;
};
cstUtils.pointInSurroundingSphereCallback(
referenceVolumeImageData,
suvPeakCirclePoints,
suvPeakMeanCallback
);
const mean = acc / count;
return {
max,
maxIJK,
maxLPS,
mean,
};
}
function calculateTMTV(labelmapProps, segmentIndex = 1) {
const labelmaps = labelmapProps.map(props => createVolume(props));
const mergedLabelmap =
labelmaps.length === 1
? labelmaps[0]
: cstUtils.segmentation.createMergedLabelmapForIndex(labelmaps);
const { imageData, spacing } = mergedLabelmap;
const values = imageData.getPointData().getScalars().getData();
// count non-zero values inside the outputData, this would
// consider the overlapping regions to be only counted once
const numVoxels = values.reduce((acc, curr) => {
if (curr > 0) {
return acc + 1;
}
return acc;
}, 0);
return 1e-3 * numVoxels * spacing[0] * spacing[1] * spacing[2];
}
function getTotalLesionGlycolysis({ labelmapProps, referenceVolumeProps }) {
const labelmaps = labelmapProps.map(props => createVolume(props));
const mergedLabelmap =
labelmaps.length === 1
? labelmaps[0]
: cstUtils.segmentation.createMergedLabelmapForIndex(labelmaps);
// grabbing the first labelmap referenceVolume since it will be the same for all
const { spacing } = labelmaps[0];
const ptVolume = createVolume(referenceVolumeProps);
let suv = 0;
let totalLesionVoxelCount = 0;
const scalarDataLength = mergedLabelmap.voxelManager.getScalarDataLength();
for (let i = 0; i < scalarDataLength; i++) {
// if not background
if (mergedLabelmap.voxelManager.getAtIndex(i) !== 0) {
suv += ptVolume.voxelManager.getAtIndex(i);
totalLesionVoxelCount += 1;
}
}
// Average SUV for the merged labelmap
const averageSuv = suv / totalLesionVoxelCount;
// total Lesion Glycolysis [suv * ml]
return averageSuv * totalLesionVoxelCount * spacing[0] * spacing[1] * spacing[2] * 1e-3;
}
const obj = {
calculateSuvPeak,
calculateTMTV,
getTotalLesionGlycolysis,
};
expose(obj);

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import { Types } from '@cornerstonejs/core';
import { utilities } from '@cornerstonejs/tools';
/**
* Given a list of labelmaps (with the possibility of overlapping regions),
* and a referenceVolume, it calculates the total metabolic tumor volume (TMTV)
* by flattening and rasterizing each segment into a single labelmap and summing
* the total number of volume voxels. It should be noted that for this calculation
* we do not double count voxels that are part of multiple labelmaps.
* @param {} labelmaps
* @param {number} segmentIndex
* @returns {number} TMTV in ml
*/
function calculateTMTV(labelmaps: Array<Types.IImageVolume>, segmentIndex = 1): number {
const volumeId = 'mergedLabelmap';
const mergedLabelmap = utilities.segmentation.createMergedLabelmapForIndex(
labelmaps,
segmentIndex,
volumeId
);
const { imageData, spacing, voxelManager } = mergedLabelmap;
// count non-zero values inside the outputData, this would
// consider the overlapping regions to be only counted once
let numVoxels = 0;
const callback = ({ value }) => {
if (value > 0) {
numVoxels += 1;
}
};
voxelManager.forEach(callback, {
imageData,
isInObject: () => true,
});
return 1e-3 * numVoxels * spacing[0] * spacing[1] * spacing[2];
}
export default calculateTMTV;

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export default function createAndDownloadTMTVReport(segReport, additionalReportRows, options = {}) {
const firstReport = segReport[Object.keys(segReport)[0]];
const columns = Object.keys(firstReport);
const csv = [columns.join(',')];
Object.values(segReport).forEach(segmentation => {
const row = [];
columns.forEach(column => {
// if it is array then we need to replace , with space to avoid csv parsing error
row.push(
Array.isArray(segmentation[column]) ? segmentation[column].join(' ') : segmentation[column]
);
});
csv.push(row.join(','));
});
csv.push('');
csv.push('');
csv.push('');
csv.push(`Patient ID,${firstReport.PatientID}`);
csv.push(`Study Date,${firstReport.StudyDate}`);
csv.push('');
additionalReportRows.forEach(({ key, value: values }) => {
const temp = [];
temp.push(`${key}`);
Object.keys(values).forEach(k => {
temp.push(`${k}`);
temp.push(`${values[k]}`);
});
csv.push(temp.join(','));
});
const blob = new Blob([csv.join('\n')], {
type: 'text/csv;charset=utf-8',
});
const url = URL.createObjectURL(blob);
const a = document.createElement('a');
a.href = url;
a.download = options.filename ?? `${firstReport.PatientID}_tmtv.csv`;
a.click();
}

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import dcmjs from 'dcmjs';
import { classes, DicomMetadataStore } from '@ohif/core';
import { adaptersRT } from '@cornerstonejs/adapters';
const { datasetToBlob } = dcmjs.data;
const metadataProvider = classes.MetadataProvider;
export default function dicomRTAnnotationExport(annotations) {
const dataset = adaptersRT.Cornerstone3D.RTSS.generateRTSSFromAnnotations(
annotations,
metadataProvider,
DicomMetadataStore
);
const reportBlob = datasetToBlob(dataset);
//Create a URL for the binary.
var objectUrl = URL.createObjectURL(reportBlob);
window.location.assign(objectUrl);
}

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import dicomRTAnnotationExport from './dicomRTAnnotationExport';
export default dicomRTAnnotationExport;

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import * as csTools from '@cornerstonejs/tools';
function getRoiStats(referencedVolume, annotations) {
// roiStats
const { imageData } = referencedVolume;
const values = imageData.getPointData().getScalars().getData();
// Todo: add support for other strategies
const { fn, baseValue } = _getStrategyFn('max');
let value = baseValue;
const boundsIJK = csTools.utilities.rectangleROITool.getBoundsIJKFromRectangleAnnotations(
annotations,
referencedVolume
);
const [[iMin, iMax], [jMin, jMax], [kMin, kMax]] = boundsIJK;
for (let i = iMin; i <= iMax; i++) {
for (let j = jMin; j <= jMax; j++) {
for (let k = kMin; k <= kMax; k++) {
const offset = imageData.computeOffsetIndex([i, j, k]);
value = fn(values[offset], value);
}
}
}
return value;
}
function getThresholdValues(
annotationUIDs,
referencedVolumes,
config
): { ptLower: number; ptUpper: number; ctLower: number; ctUpper: number } {
if (config.strategy === 'range') {
return {
ptLower: Number(config.ptLower),
ptUpper: Number(config.ptUpper),
ctLower: Number(config.ctLower),
ctUpper: Number(config.ctUpper),
};
}
const { weight } = config;
const annotations = annotationUIDs.map(annotationUID =>
csTools.annotation.state.getAnnotation(annotationUID)
);
const ptValue = getRoiStats(referencedVolumes[0], annotations);
return {
ctLower: -Infinity,
ctUpper: +Infinity,
ptLower: weight * ptValue,
ptUpper: +Infinity,
};
}
function _getStrategyFn(statistic): {
fn: (a: number, b: number) => number;
baseValue: number;
} {
const baseValue = -Infinity;
const fn = (number, maxValue) => {
if (number > maxValue) {
maxValue = number;
}
return maxValue;
};
return { fn, baseValue };
}
export default getThresholdValues;

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import { Segment, Segmentation } from '@cornerstonejs/tools/types';
import { triggerEvent, eventTarget, Enums } from '@cornerstonejs/core';
export const handleROIThresholding = async ({
segmentationId,
commandsManager,
segmentationService,
}: withAppTypes<{
segmentationId: string;
}>) => {
const segmentation = segmentationService.getSegmentation(segmentationId);
triggerEvent(eventTarget, Enums.Events.WEB_WORKER_PROGRESS, {
progress: 0,
type: 'Calculate Lesion Stats',
id: segmentationId,
});
// re-calculating the cached stats for the active segmentation
const updatedPerSegmentCachedStats = {};
for (const [segmentIndex, segment] of Object.entries(segmentation.segments)) {
if (!segment) {
continue;
}
const numericSegmentIndex = Number(segmentIndex);
const lesionStats = await commandsManager.run('getLesionStats', {
segmentationId,
segmentIndex: numericSegmentIndex,
});
const suvPeak = await commandsManager.run('calculateSuvPeak', {
segmentationId,
segmentIndex: numericSegmentIndex,
});
const lesionGlyoclysisStats = lesionStats.volume * lesionStats.meanValue;
// update segDetails with the suv peak for the active segmentation
const cachedStats = {
lesionStats,
suvPeak,
lesionGlyoclysisStats,
};
const updatedSegment: Segment = {
...segment,
cachedStats: {
...segment.cachedStats,
...cachedStats,
},
};
updatedPerSegmentCachedStats[numericSegmentIndex] = cachedStats;
segmentation.segments[segmentIndex] = updatedSegment;
}
// all available segmentations
const segmentations = segmentationService.getSegmentations();
const tmtv = await commandsManager.run('calculateTMTV', { segmentations });
triggerEvent(eventTarget, Enums.Events.WEB_WORKER_PROGRESS, {
progress: 100,
type: 'Calculate Lesion Stats',
id: segmentationId,
});
// add the tmtv to all the segment cachedStats, although it is a global
// value but we don't have any other way to display it for now
// Update all segmentations with the calculated TMTV
segmentations.forEach(segmentation => {
segmentation.cachedStats = {
...segmentation.cachedStats,
tmtv,
};
// Update each segment within the segmentation
Object.keys(segmentation.segments).forEach(segmentIndex => {
segmentation.segments[segmentIndex].cachedStats = {
...segmentation.segments[segmentIndex].cachedStats,
tmtv,
};
});
// Update the segmentation object
const updatedSegmentation: Segmentation = {
...segmentation,
segments: {
...segmentation.segments,
},
};
segmentationService.addOrUpdateSegmentation(updatedSegmentation);
});
};

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// Common sync group configurations
const cameraPositionSync = (id: string) => ({
type: 'cameraPosition',
id,
source: true,
target: true,
});
const hydrateSegSync = {
type: 'hydrateseg',
id: 'sameFORId',
source: true,
target: true,
options: {
matchingRules: ['sameFOR'],
},
};
const ctAXIAL: AppTypes.HangingProtocol.Viewport = {
viewportOptions: {
viewportId: 'ctAXIAL',
viewportType: 'volume',
orientation: 'axial',
toolGroupId: 'ctToolGroup',
initialImageOptions: {
// index: 5,
preset: 'first', // 'first', 'last', 'middle'
},
syncGroups: [
cameraPositionSync('axialSync'),
{
type: 'voi',
id: 'ctWLSync',
source: true,
target: true,
options: {
syncColormap: true,
},
},
hydrateSegSync,
],
},
displaySets: [
{
id: 'ctDisplaySet',
},
],
};
const ctSAGITTAL: AppTypes.HangingProtocol.Viewport = {
viewportOptions: {
viewportId: 'ctSAGITTAL',
viewportType: 'volume',
orientation: 'sagittal',
toolGroupId: 'ctToolGroup',
syncGroups: [
cameraPositionSync('sagittalSync'),
{
type: 'voi',
id: 'ctWLSync',
source: true,
target: true,
options: {
syncColormap: true,
},
},
hydrateSegSync,
],
},
displaySets: [
{
id: 'ctDisplaySet',
},
],
};
const ctCORONAL: AppTypes.HangingProtocol.Viewport = {
viewportOptions: {
viewportId: 'ctCORONAL',
viewportType: 'volume',
orientation: 'coronal',
toolGroupId: 'ctToolGroup',
syncGroups: [
cameraPositionSync('coronalSync'),
{
type: 'voi',
id: 'ctWLSync',
source: true,
target: true,
options: {
syncColormap: true,
},
},
hydrateSegSync,
],
},
displaySets: [
{
id: 'ctDisplaySet',
},
],
};
const ptAXIAL: AppTypes.HangingProtocol.Viewport = {
viewportOptions: {
viewportId: 'ptAXIAL',
viewportType: 'volume',
background: [1, 1, 1],
orientation: 'axial',
toolGroupId: 'ptToolGroup',
initialImageOptions: {
// index: 5,
preset: 'first', // 'first', 'last', 'middle'
},
syncGroups: [
cameraPositionSync('axialSync'),
{
type: 'voi',
id: 'ptWLSync',
source: true,
target: true,
options: {
syncColormap: true,
},
},
{
type: 'voi',
id: 'ptFusionWLSync',
source: true,
target: false,
options: {
syncColormap: false,
syncInvertState: false,
},
},
hydrateSegSync,
],
},
displaySets: [
{
options: {
voi: {
custom: 'getPTVOIRange',
},
voiInverted: true,
},
id: 'ptDisplaySet',
},
],
};
const ptSAGITTAL: AppTypes.HangingProtocol.Viewport = {
viewportOptions: {
viewportId: 'ptSAGITTAL',
viewportType: 'volume',
orientation: 'sagittal',
background: [1, 1, 1],
toolGroupId: 'ptToolGroup',
syncGroups: [
cameraPositionSync('sagittalSync'),
{
type: 'voi',
id: 'ptWLSync',
source: true,
target: true,
options: {
syncColormap: true,
},
},
{
type: 'voi',
id: 'ptFusionWLSync',
source: true,
target: false,
options: {
syncColormap: false,
syncInvertState: false,
},
},
hydrateSegSync,
],
},
displaySets: [
{
options: {
voi: {
custom: 'getPTVOIRange',
},
voiInverted: true,
},
id: 'ptDisplaySet',
},
],
};
const ptCORONAL: AppTypes.HangingProtocol.Viewport = {
viewportOptions: {
viewportId: 'ptCORONAL',
viewportType: 'volume',
orientation: 'coronal',
background: [1, 1, 1],
toolGroupId: 'ptToolGroup',
syncGroups: [
cameraPositionSync('coronalSync'),
{
type: 'voi',
id: 'ptWLSync',
source: true,
target: true,
options: {
syncColormap: true,
},
},
{
type: 'voi',
id: 'ptFusionWLSync',
source: true,
target: false,
options: {
syncColormap: false,
syncInvertState: false,
},
},
hydrateSegSync,
],
},
displaySets: [
{
options: {
voi: {
custom: 'getPTVOIRange',
},
voiInverted: true,
},
id: 'ptDisplaySet',
},
],
};
const fusionAXIAL: AppTypes.HangingProtocol.Viewport = {
viewportOptions: {
viewportId: 'fusionAXIAL',
viewportType: 'volume',
orientation: 'axial',
toolGroupId: 'fusionToolGroup',
initialImageOptions: {
// index: 5,
preset: 'first', // 'first', 'last', 'middle'
},
syncGroups: [
cameraPositionSync('axialSync'),
{
type: 'voi',
id: 'ctWLSync',
source: false,
target: true,
},
{
type: 'voi',
id: 'fusionWLSync',
source: true,
target: true,
options: {
syncColormap: true,
},
},
{
type: 'voi',
id: 'ptFusionWLSync',
source: false,
target: true,
options: {
syncColormap: false,
syncInvertState: false,
},
},
hydrateSegSync,
],
},
displaySets: [
{
id: 'ctDisplaySet',
},
{
id: 'ptDisplaySet',
options: {
colormap: {
name: 'hsv',
opacity: [
{ value: 0, opacity: 0 },
{ value: 0.1, opacity: 0.8 },
{ value: 1, opacity: 0.9 },
],
},
voi: {
custom: 'getPTVOIRange',
},
},
},
],
};
const fusionSAGITTAL = {
viewportOptions: {
viewportId: 'fusionSAGITTAL',
viewportType: 'volume',
orientation: 'sagittal',
toolGroupId: 'fusionToolGroup',
// initialImageOptions: {
// index: 180,
// preset: 'middle', // 'first', 'last', 'middle'
// },
syncGroups: [
cameraPositionSync('sagittalSync'),
{
type: 'voi',
id: 'ctWLSync',
source: false,
target: true,
},
{
type: 'voi',
id: 'fusionWLSync',
source: true,
target: true,
options: {
syncColormap: true,
},
},
{
type: 'voi',
id: 'ptFusionWLSync',
source: false,
target: true,
options: {
syncColormap: false,
syncInvertState: false,
},
},
hydrateSegSync,
],
},
displaySets: [
{
id: 'ctDisplaySet',
},
{
id: 'ptDisplaySet',
options: {
colormap: {
name: 'hsv',
opacity: [
{ value: 0, opacity: 0 },
{ value: 0.1, opacity: 0.8 },
{ value: 1, opacity: 0.9 },
],
},
voi: {
custom: 'getPTVOIRange',
},
},
},
],
};
const fusionCORONAL = {
viewportOptions: {
viewportId: 'fusionCoronal',
viewportType: 'volume',
orientation: 'coronal',
toolGroupId: 'fusionToolGroup',
// initialImageOptions: {
// index: 180,
// preset: 'middle', // 'first', 'last', 'middle'
// },
syncGroups: [
cameraPositionSync('coronalSync'),
{
type: 'voi',
id: 'ctWLSync',
source: false,
target: true,
},
{
type: 'voi',
id: 'fusionWLSync',
source: true,
target: true,
options: {
syncColormap: true,
},
},
{
type: 'voi',
id: 'ptFusionWLSync',
source: false,
target: true,
options: {
syncColormap: false,
syncInvertState: false,
},
},
hydrateSegSync,
],
},
displaySets: [
{
id: 'ctDisplaySet',
},
{
id: 'ptDisplaySet',
options: {
colormap: {
name: 'hsv',
opacity: [
{ value: 0, opacity: 0 },
{ value: 0.1, opacity: 0.8 },
{ value: 1, opacity: 0.9 },
],
},
voi: {
custom: 'getPTVOIRange',
},
},
},
],
};
const mipSAGITTAL: AppTypes.HangingProtocol.Viewport = {
viewportOptions: {
viewportId: 'mipSagittal',
viewportType: 'volume',
orientation: 'sagittal',
background: [1, 1, 1],
toolGroupId: 'mipToolGroup',
syncGroups: [
{
type: 'voi',
id: 'ptWLSync',
source: true,
target: true,
options: {
syncColormap: true,
},
},
{
type: 'voi',
id: 'ptFusionWLSync',
source: true,
target: false,
options: {
syncColormap: false,
syncInvertState: false,
},
},
hydrateSegSync,
],
// Custom props can be used to set custom properties which extensions
// can react on.
customViewportProps: {
// We use viewportDisplay to filter the viewports which are displayed
// in mip and we set the scrollbar according to their rotation index
// in the cornerstone extension.
hideOverlays: true,
},
},
displaySets: [
{
options: {
blendMode: 'MIP',
slabThickness: 'fullVolume',
voi: {
custom: 'getPTVOIRange',
},
voiInverted: true,
},
id: 'ptDisplaySet',
},
],
};
export {
ctAXIAL,
ctSAGITTAL,
ctCORONAL,
ptAXIAL,
ptSAGITTAL,
ptCORONAL,
fusionAXIAL,
fusionSAGITTAL,
fusionCORONAL,
mipSAGITTAL,
};

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import SUPPORTED_TOOLS from './constants/supportedTools';
import { getSOPInstanceAttributes } from '@ohif/extension-cornerstone';
const CircleROIStartEndThreshold = {
toAnnotation: (measurement, definition) => {},
/**
* Maps cornerstone annotation event data to measurement service format.
*
* @param {Object} cornerstone Cornerstone event data
* @return {Measurement} Measurement instance
*/
toMeasurement: (csToolsEventDetail, displaySetService, cornerstoneViewportService) => {
const { annotation, viewportId } = csToolsEventDetail;
const { metadata, data, annotationUID } = annotation;
if (!metadata || !data) {
console.warn('Length tool: Missing metadata or data');
return null;
}
const { toolName, referencedImageId, FrameOfReferenceUID } = metadata;
const validToolType = SUPPORTED_TOOLS.includes(toolName);
if (!validToolType) {
throw new Error('Tool not supported');
}
const { SOPInstanceUID, SeriesInstanceUID, StudyInstanceUID } = getSOPInstanceAttributes(
referencedImageId,
cornerstoneViewportService,
viewportId
);
let displaySet;
if (SOPInstanceUID) {
displaySet = displaySetService.getDisplaySetForSOPInstanceUID(
SOPInstanceUID,
SeriesInstanceUID
);
} else {
displaySet = displaySetService.getDisplaySetsForSeries(SeriesInstanceUID);
}
const { cachedStats } = data;
return {
uid: annotationUID,
SOPInstanceUID,
FrameOfReferenceUID,
// points,
metadata,
referenceSeriesUID: SeriesInstanceUID,
referenceStudyUID: StudyInstanceUID,
toolName: metadata.toolName,
displaySetInstanceUID: displaySet.displaySetInstanceUID,
label: metadata.label,
// displayText: displayText,
data: data.cachedStats,
type: 'CircleROIStartEndThreshold',
// getReport,
};
},
};
export default CircleROIStartEndThreshold;

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import SUPPORTED_TOOLS from './constants/supportedTools';
import { getSOPInstanceAttributes } from '@ohif/extension-cornerstone';
const RectangleROIStartEndThreshold = {
toAnnotation: (measurement, definition) => {},
/**
* Maps cornerstone annotation event data to measurement service format.
*
* @param {Object} cornerstone Cornerstone event data
* @return {Measurement} Measurement instance
*/
toMeasurement: (csToolsEventDetail, displaySetService, cornerstoneViewportService) => {
const { annotation, viewportId } = csToolsEventDetail;
const { metadata, data, annotationUID } = annotation;
if (!metadata || !data) {
console.warn('Length tool: Missing metadata or data');
return null;
}
const { toolName, referencedImageId, FrameOfReferenceUID } = metadata;
const validToolType = SUPPORTED_TOOLS.includes(toolName);
if (!validToolType) {
throw new Error('Tool not supported');
}
const { SOPInstanceUID, SeriesInstanceUID, StudyInstanceUID } = getSOPInstanceAttributes(
referencedImageId,
cornerstoneViewportService,
viewportId
);
let displaySet;
if (SOPInstanceUID) {
displaySet = displaySetService.getDisplaySetForSOPInstanceUID(
SOPInstanceUID,
SeriesInstanceUID
);
} else {
displaySet = displaySetService.getDisplaySetsForSeries(SeriesInstanceUID);
}
return {
uid: annotationUID,
SOPInstanceUID,
FrameOfReferenceUID,
// points,
metadata,
referenceSeriesUID: SeriesInstanceUID,
referenceStudyUID: StudyInstanceUID,
toolName: metadata.toolName,
displaySetInstanceUID: displaySet.displaySetInstanceUID,
label: metadata.label,
data: data.cachedStats,
type: 'RectangleROIStartEndThreshold',
};
},
};
export default RectangleROIStartEndThreshold;

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export default ['RectangleROIStartEndThreshold'];

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import RectangleROIStartEndThreshold from './RectangleROIStartEndThreshold';
import CircleROIStartEndThreshold from './CircleROIStartEndThreshold';
const measurementServiceMappingsFactory = (
measurementService,
displaySetService,
cornerstoneViewportService
) => {
return {
RectangleROIStartEndThreshold: {
toAnnotation: RectangleROIStartEndThreshold.toAnnotation,
toMeasurement: csToolsAnnotation =>
RectangleROIStartEndThreshold.toMeasurement(
csToolsAnnotation,
displaySetService,
cornerstoneViewportService
),
matchingCriteria: [
{
valueType: measurementService.VALUE_TYPES.ROI_THRESHOLD_MANUAL,
},
],
},
CircleROIStartEndThreshold: {
toAnnotation: CircleROIStartEndThreshold.toAnnotation,
toMeasurement: csToolsAnnotation =>
CircleROIStartEndThreshold.toMeasurement(
csToolsAnnotation,
displaySetService,
cornerstoneViewportService
),
matchingCriteria: [
{
valueType: measurementService.VALUE_TYPES.ROI_THRESHOLD_MANUAL,
},
],
},
};
};
export default measurementServiceMappingsFactory;