Replace the hand-built metadata subset in parseMeta with a VR-aware DICOM-to-DICOM-JSON converter. Window Center/Width, Rescale Intercept/Slope are only emitted when the source element exists; multi-values are preserved in source order. VOI/LUT, Presentation LUT and Pixel Padding tags are preserved and Pixel Data is excluded. - add src/dimse/dicomJson.ts (dictionary-aware converter) - rewrite src/dimse/parseMeta.ts to use the converter - add synthetic non-PHI DICOM writer and metadata tests - add npm test script (node:test + ts-node) and skipLibCheck
175 lines
6.1 KiB
TypeScript
175 lines
6.1 KiB
TypeScript
/**
|
|
* Minimal, dependency-free DICOM Part 10 writer used to build synthetic,
|
|
* non-PHI fixtures for unit tests. Only the explicit VR little endian
|
|
* transfer syntax is produced, which is enough to exercise the metadata
|
|
* converter and native frame extraction.
|
|
*/
|
|
|
|
export interface VrElement {
|
|
/** Tag in 'ggggeeee' hex form, e.g. '00281050'. */
|
|
tag: string;
|
|
vr: string;
|
|
value?: string | number | number[] | Buffer;
|
|
/** Sequence items, only used when vr === 'SQ'. Each item is itself a dataset. */
|
|
items?: Dataset[];
|
|
}
|
|
|
|
export type Dataset = VrElement[];
|
|
|
|
const LONG_VRS = new Set(['OB', 'OD', 'OF', 'OL', 'OV', 'OW', 'SQ', 'SV', 'UC', 'UN', 'UR', 'UT', 'UV']);
|
|
|
|
const NUMERIC_VRS: Record<string, { width: number; write: (buf: Buffer, value: number, offset: number) => void }> = {
|
|
US: { width: 2, write: (b, v, o) => b.writeUInt16LE(v, o) },
|
|
SS: { width: 2, write: (b, v, o) => b.writeInt16LE(v, o) },
|
|
UL: { width: 4, write: (b, v, o) => b.writeUInt32LE(v, o) },
|
|
SL: { width: 4, write: (b, v, o) => b.writeInt32LE(v, o) },
|
|
FL: { width: 4, write: (b, v, o) => b.writeFloatLE(v, o) },
|
|
FD: { width: 8, write: (b, v, o) => b.writeDoubleLE(v, o) },
|
|
};
|
|
|
|
function paddingByte(vr: string): number {
|
|
return vr === 'UI' ? 0x00 : 0x20;
|
|
}
|
|
|
|
function encodeValue(element: VrElement): Buffer {
|
|
const { vr, value } = element;
|
|
|
|
if (vr === 'SQ') {
|
|
const items = Array.isArray(element.items) ? element.items : [];
|
|
return Buffer.concat(items.map(encodeItem));
|
|
}
|
|
|
|
if (value === undefined) {
|
|
return Buffer.alloc(0);
|
|
}
|
|
|
|
if (Buffer.isBuffer(value)) {
|
|
return value;
|
|
}
|
|
|
|
if (NUMERIC_VRS[vr]) {
|
|
const numbers = Array.isArray(value) ? value : [value as number];
|
|
const { width, write } = NUMERIC_VRS[vr];
|
|
const buffer = Buffer.alloc(numbers.length * width);
|
|
numbers.forEach((number, index) => write(buffer, number, index * width));
|
|
return buffer;
|
|
}
|
|
|
|
const text = Array.isArray(value) ? value.join('\\') : String(value);
|
|
return Buffer.from(text, 'ascii');
|
|
}
|
|
|
|
function encodeItem(dataset: Dataset): Buffer {
|
|
const body = encodeDataset(dataset);
|
|
const header = Buffer.alloc(8);
|
|
header.writeUInt16LE(0xfffe, 0);
|
|
header.writeUInt16LE(0xe000, 2);
|
|
header.writeUInt32LE(body.length, 4);
|
|
return Buffer.concat([header, body]);
|
|
}
|
|
|
|
export function encodeElement(element: VrElement): Buffer {
|
|
const group = Number.parseInt(element.tag.substring(0, 4), 16);
|
|
const elementNumber = Number.parseInt(element.tag.substring(4, 8), 16);
|
|
|
|
let value = encodeValue(element);
|
|
if (value.length % 2 !== 0) {
|
|
value = Buffer.concat([value, Buffer.from([paddingByte(element.vr)])]);
|
|
}
|
|
|
|
const isLong = LONG_VRS.has(element.vr);
|
|
const header = Buffer.alloc(isLong ? 12 : 8);
|
|
header.writeUInt16LE(group, 0);
|
|
header.writeUInt16LE(elementNumber, 2);
|
|
header.write(element.vr, 4, 2, 'ascii');
|
|
if (isLong) {
|
|
header.writeUInt32LE(value.length, 8);
|
|
}
|
|
else {
|
|
header.writeUInt16LE(value.length, 6);
|
|
}
|
|
return Buffer.concat([header, value]);
|
|
}
|
|
|
|
export function encodeDataset(dataset: Dataset): Buffer {
|
|
return Buffer.concat(dataset.map(encodeElement));
|
|
}
|
|
|
|
export interface Part10Options {
|
|
transferSyntaxUID?: string;
|
|
sopClassUID?: string;
|
|
sopInstanceUID?: string;
|
|
}
|
|
|
|
export function buildPart10(dataset: Dataset, options: Part10Options = {}): Buffer {
|
|
const transferSyntaxUID = options.transferSyntaxUID ?? '1.2.840.10008.1.2.1';
|
|
const sopClassUID = options.sopClassUID ?? '1.2.840.10008.5.1.4.1.1.7';
|
|
const sopInstanceUID = options.sopInstanceUID ?? '1.2.826.0.1.3680043.8.498.1';
|
|
|
|
const metaElements: Dataset = [
|
|
{ tag: '00020001', vr: 'OB', value: Buffer.from([0x00, 0x01]) },
|
|
{ tag: '00020002', vr: 'UI', value: sopClassUID },
|
|
{ tag: '00020003', vr: 'UI', value: sopInstanceUID },
|
|
{ tag: '00020010', vr: 'UI', value: transferSyntaxUID },
|
|
{ tag: '00020012', vr: 'UI', value: '1.2.826.0.1.3680043.8.498.1' },
|
|
];
|
|
const metaBody = encodeDataset(metaElements);
|
|
const groupLength = encodeElement({ tag: '00020000', vr: 'UL', value: metaBody.length });
|
|
|
|
const preamble = Buffer.alloc(128);
|
|
const magic = Buffer.from('DICM', 'ascii');
|
|
const datasetBytes = encodeDataset(dataset);
|
|
|
|
return Buffer.concat([preamble, magic, groupLength, metaBody, datasetBytes]);
|
|
}
|
|
|
|
/** Build a synthetic single or multi frame MONOCHROME2 image. */
|
|
export function buildMonochromeImage(options: {
|
|
rows: number;
|
|
columns: number;
|
|
bitsAllocated?: number;
|
|
samplesPerPixel?: number;
|
|
numberOfFrames?: number;
|
|
pixelData: number[];
|
|
extra?: Dataset;
|
|
transferSyntaxUID?: string;
|
|
photometricInterpretation?: string;
|
|
}): Buffer {
|
|
const bitsAllocated = options.bitsAllocated ?? 8;
|
|
const samplesPerPixel = options.samplesPerPixel ?? 1;
|
|
const dataset: Dataset = [
|
|
{ tag: '00080016', vr: 'UI', value: '1.2.840.10008.5.1.4.1.1.7' },
|
|
{ tag: '00080018', vr: 'UI', value: '1.2.826.0.1.3680043.8.498.1' },
|
|
{ tag: '00080060', vr: 'CS', value: 'CR' },
|
|
{ tag: '0020000D', vr: 'UI', value: '1.2.826.0.1.3680043.8.498.100' },
|
|
{ tag: '0020000E', vr: 'UI', value: '1.2.826.0.1.3680043.8.498.200' },
|
|
{ tag: '00280002', vr: 'US', value: samplesPerPixel },
|
|
{ tag: '00280004', vr: 'CS', value: options.photometricInterpretation ?? 'MONOCHROME2' },
|
|
{ tag: '00280010', vr: 'US', value: options.rows },
|
|
{ tag: '00280011', vr: 'US', value: options.columns },
|
|
{ tag: '00280100', vr: 'US', value: bitsAllocated },
|
|
{ tag: '00280101', vr: 'US', value: bitsAllocated },
|
|
{ tag: '00280102', vr: 'US', value: bitsAllocated - 1 },
|
|
{ tag: '00280103', vr: 'US', value: 0 },
|
|
];
|
|
|
|
if (options.numberOfFrames !== undefined) {
|
|
dataset.push({ tag: '00280008', vr: 'IS', value: String(options.numberOfFrames) });
|
|
}
|
|
|
|
if (options.extra) {
|
|
dataset.push(...options.extra);
|
|
}
|
|
|
|
const pixelData = bitsAllocated <= 8
|
|
? Buffer.from(options.pixelData)
|
|
: (() => {
|
|
const buffer = Buffer.alloc(options.pixelData.length * 2);
|
|
options.pixelData.forEach((value, index) => buffer.writeUInt16LE(value, index * 2));
|
|
return buffer;
|
|
})();
|
|
dataset.push({ tag: '7FE00010', vr: bitsAllocated <= 8 ? 'OB' : 'OW', value: pixelData });
|
|
|
|
return buildPart10(dataset, { transferSyntaxUID: options.transferSyntaxUID });
|
|
}
|