perf(segmentation): make segmentation read 3x faster (#3577)

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Alireza authored and GitHub committed 2023-08-08 14:39:31 -04:00
1 parent ec76ea24dd
commit 156c1ba60b
17 files changed
+187 -315

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@@ -36,7 +36,7 @@
"@cornerstonejs/codec-libjpeg-turbo-8bit": "^1.2.2",
"@cornerstonejs/codec-openjpeg": "^1.2.2",
"@cornerstonejs/codec-openjph": "^2.4.2",
"@cornerstonejs/dicom-image-loader": "^1.7.1",
"@cornerstonejs/dicom-image-loader": "^1.9.3",
"@ohif/core": "3.7.0-beta.42",
"@ohif/ui": "3.7.0-beta.42",
"dcmjs": "^0.29.6",
@@ -52,10 +52,10 @@
},
"dependencies": {
"@babel/runtime": "^7.20.13",
"@cornerstonejs/adapters": "^1.7.1",
"@cornerstonejs/core": "^1.7.1",
"@cornerstonejs/streaming-image-volume-loader": "^1.7.1",
"@cornerstonejs/tools": "^1.7.1",
"@cornerstonejs/adapters": "^1.9.3",
"@cornerstonejs/core": "^1.9.3",
"@cornerstonejs/streaming-image-volume-loader": "^1.9.3",
"@cornerstonejs/tools": "^1.9.3",
"@kitware/vtk.js": "27.3.1",
"html2canvas": "^1.4.1",
"lodash.debounce": "4.0.8",
@@ -563,11 +563,11 @@ class SegmentationService extends PubSubService {
);
}
const { segments, referencedVolumeId } = segDisplaySet;
const { labelmapBufferArray, referencedVolumeId } = segDisplaySet;
if (!segments || !referencedVolumeId) {
if (!labelmapBufferArray || !referencedVolumeId) {
throw new Error(
'To create the segmentation from SEG displaySet, the displaySet should be loaded first, you can perform segDisplaySet.load() before calling this method.'
'No labelmapBufferArray or referencedVolumeId found for the SEG displaySet'
);
}
@@ -593,88 +593,27 @@ class SegmentationService extends PubSubService {
},
}
);
const [rows, columns] = derivedVolume.dimensions;
const derivedVolumeScalarData = derivedVolume.getScalarData();
const { imageIds } = referencedVolume;
const sopUIDImageIdIndexMap = imageIds.reduce((acc, imageId, index) => {
const { sopInstanceUid } = metaData.get('generalImageModule', imageId);
acc[sopInstanceUid] = index;
return acc;
}, {} as { [sopUID: string]: number });
const segmentsInfo = segDisplaySet.segMetadata.data;
derivedVolumeScalarData.set(new Uint8Array(labelmapBufferArray[0]));
const numSegments = Object.keys(segments).length;
// Note: ideally we could use the TypedArray set method, but since each
// slice can have multiple segments, we need to loop over each slice and
// set the segment value for each segment.
let overlappingSegments = false;
const _segmentInfoUpdate = (segmentInfo, segmentIndex) => {
const { pixelData: segPixelData } = segmentInfo;
let segmentX = 0;
let segmentY = 0;
let segmentZ = 0;
let count = 0;
for (const [
functionalGroupIndex,
functionalGroup,
] of segmentInfo.functionalGroups.entries()) {
const {
ReferencedSOPInstanceUID,
} = functionalGroup.DerivationImageSequence.SourceImageSequence;
const imageIdIndex = sopUIDImageIdIndexMap[ReferencedSOPInstanceUID];
if (imageIdIndex === -1) {
return;
}
const step = rows * columns;
// we need a faster way to get the pixel data for the current
// functional group, which we use typed array view
const functionGroupPixelData = new Uint8Array(
segPixelData.buffer,
functionalGroupIndex * step,
step
);
const functionalGroupStartIndex = imageIdIndex * step;
const functionalGroupEndIndex = (imageIdIndex + 1) * step;
// Note: this for loop is not optimized, since DICOM SEG stores
// each segment as a separate labelmap so if there is a slice
// that has multiple segments, we will have to loop over each
// segment and we cannot use the TypedArray set method.
for (
let i = functionalGroupStartIndex, j = 0;
i < functionalGroupEndIndex;
i++, j++
) {
if (functionGroupPixelData[j] !== 0) {
if (derivedVolumeScalarData[i] !== 0) {
overlappingSegments = true;
}
derivedVolumeScalarData[i] = segmentIndex;
// centroid calculations
segmentX += i % columns;
segmentY += Math.floor(i / columns) % rows;
segmentZ += Math.floor(i / (columns * rows));
count++;
}
}
segmentation.segments = segmentsInfo.map((segmentInfo, segmentIndex) => {
if (segmentIndex === 0) {
return;
}
// centroid calculations
const x = Math.floor(segmentX / count);
const y = Math.floor(segmentY / count);
const z = Math.floor(segmentZ / count);
const {
SegmentedPropertyCategoryCodeSequence,
SegmentNumber,
SegmentLabel,
SegmentAlgorithmType,
SegmentAlgorithmName,
SegmentedPropertyTypeCodeSequence,
rgba,
} = segmentInfo;
const { x, y, z } = segDisplaySet.centroids.get(segmentIndex);
const centerWorld = derivedVolume.imageData.indexToWorld([x, y, z]);
segmentation.cachedStats = {
@@ -691,65 +630,31 @@ class SegmentationService extends PubSubService {
},
};
const numInitialized = Object.keys(segmentation.cachedStats.segmentCenter)
.length;
// Calculate percentage completed
const percentComplete = Math.round((numInitialized / numSegments) * 100);
this._broadcastEvent(EVENTS.SEGMENT_LOADING_COMPLETE, {
percentComplete,
numSegments: numSegments,
});
};
const promiseArray = [];
for (const segmentIndex in segments) {
const segmentInfo = segments[segmentIndex];
// Important: we need a non-blocking way to update the segmentation
// state, otherwise the UI will freeze and the user will not be able
// to interact with the app or progress bars will not be updated.
const promise = new Promise<void>((resolve, reject) => {
setTimeout(() => {
_segmentInfoUpdate(segmentInfo, segmentIndex);
resolve();
}, 0);
});
promiseArray.push(promise);
}
await Promise.all(promiseArray);
segmentation.segmentCount = Object.keys(segments).length;
segmentation.segments = [null]; // segment 0
Object.keys(segments).forEach(segmentIndex => {
const segmentInfo = segments[segmentIndex];
const segIndex = Number(segmentIndex);
segmentation.segments[segIndex] = {
label: segmentInfo.label || `Segment ${segIndex}`,
segmentIndex: Number(segmentIndex),
color: [
segmentInfo.color[0],
segmentInfo.color[1],
segmentInfo.color[2],
],
opacity: segmentInfo.color[3],
return {
label: SegmentLabel || `Segment ${SegmentNumber}`,
segmentIndex: Number(SegmentNumber),
category: SegmentedPropertyCategoryCodeSequence
? SegmentedPropertyCategoryCodeSequence.CodeMeaning
: '',
type: SegmentedPropertyTypeCodeSequence
? SegmentedPropertyTypeCodeSequence.CodeMeaning
: '',
algorithmType: SegmentAlgorithmType,
algorithmName: SegmentAlgorithmName,
color: rgba,
opacity: 255,
isVisible: true,
isLocked: false,
};
});
segmentation.segmentCount = segmentsInfo.length - 1;
segDisplaySet.isLoaded = true;
this._broadcastEvent(EVENTS.SEGMENTATION_LOADING_COMPLETE, {
segmentationId,
segDisplaySet,
overlappingSegments,
});
return this.addOrUpdateSegmentation(segmentation, suppressEvents);