init: sudah ganti logo, hilangin setting, dan investigational use dialog

extensions/tmtv/src/utils/calculateTMTV.ts

@@ -0,0 +1,42 @@
+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;