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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 | 428x | import {
cache as cornerstoneCache,
type Types,
getWebWorkerManager,
cache,
utilities,
} from '@cornerstonejs/core';
import SegmentationRepresentations from '../../enums/SegmentationRepresentations';
import { WorkerTypes } from '../../enums';
import { registerComputeWorker } from '../registerComputeWorker';
import { triggerWorkerProgress } from '../segmentation/utilsForWorker';
import getOrCreateSegmentationVolume from '../segmentation/getOrCreateSegmentationVolume';
const { Labelmap } = SegmentationRepresentations;
async function generateContourSetsFromLabelmap({ segmentations }) {
// Register worker if not already registered
registerComputeWorker();
// Trigger progress indicator
triggerWorkerProgress(WorkerTypes.GENERATE_CONTOUR_SETS, 0);
const {
representationData,
segments = [0, 1],
segmentationId,
} = segmentations;
let { volumeId: segVolumeId } = representationData[Labelmap];
if (!segVolumeId) {
const segVolume = getOrCreateSegmentationVolume(segmentationId);
if (segVolume) {
segVolumeId = segVolume.volumeId;
}
}
// Get segmentation volume
const vol = cornerstoneCache.getVolume(segVolumeId);
if (!vol) {
console.warn(`No volume found for ${segVolumeId}`);
return;
}
const voxelManager = vol.voxelManager as Types.IVoxelManager<number>;
const segScalarData =
voxelManager.getCompleteScalarDataArray() as Array<number>;
// Prepare segmentation info for worker
const segmentationInfo = {
scalarData: segScalarData,
dimensions: vol.dimensions,
spacing: vol.imageData.getSpacing(),
origin: vol.imageData.getOrigin(),
direction: vol.imageData.getDirection(),
};
// Prepare indices from segments
const indices = Array.isArray(segments)
? segments
.filter((segment) => segment !== null)
.map((segment) => segment.segmentIndex || segment)
: Object.values(segments)
.filter((segment) => segment !== null)
// @ts-expect-error
.map((segment) => segment.segmentIndex || segment);
// Execute task in worker
const contourSets = await getWebWorkerManager().executeTask(
'compute',
'generateContourSetsFromLabelmapVolume',
{
segmentation: segmentationInfo,
indices,
mode: 'individual',
}
);
const refImages = vol.imageIds.map((imageId) => {
const refImageId = cache.getImage(imageId)?.referencedImageId;
return refImageId ? cache.getImage(refImageId) : undefined;
});
const refImageDataMetadata = refImages.map((image) => {
return utilities.getImageDataMetadata(image);
});
// Post-process to match expected return format
const processedContourSets = contourSets
.map((contourSet) => {
const segment = segments[contourSet.segment.segmentIndex] || {};
if (!contourSet.sliceContours.length) {
return null;
}
const p1 = contourSet.sliceContours[0].polyData.points[0] as Types.Point3;
let refImageId;
if (p1) {
// find the closest image that these two points are on its plane
const refImageIndex = refImageDataMetadata.findIndex(
(imageDataMetadata) => {
const { scanAxisNormal, origin } = imageDataMetadata;
const plane = utilities.planar.planeEquation(
scanAxisNormal,
origin
);
return utilities.planar.isPointOnPlane(p1, plane);
}
);
if (refImageIndex !== -1) {
refImageId = refImages[refImageIndex].imageId;
}
}
return {
label: segment.label,
color: segment.color,
metadata: {
FrameOfReferenceUID: vol.metadata.FrameOfReferenceUID,
referencedImageId: refImageId,
},
sliceContours: contourSet.sliceContours.map((contourData) => ({
contours: contourData.contours,
polyData: contourData.polyData,
FrameNumber: contourData.sliceIndex + 1,
sliceIndex: contourData.sliceIndex,
FrameOfReferenceUID: vol.metadata.FrameOfReferenceUID,
referencedImageId: refImageId,
})),
};
})
.filter((contourSet) => contourSet !== null);
// Trigger completion
triggerWorkerProgress(WorkerTypes.GENERATE_CONTOUR_SETS, 100);
return processedContourSets;
}
export { generateContourSetsFromLabelmap };
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