Press n or j to go to the next uncovered block, b, p or k for the previous block.
| 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 | import { getWebWorkerManager } from '@cornerstonejs/core';
import { WorkerTypes } from '../../enums';
import { registerComputeWorker } from '../registerComputeWorker';
import {
triggerWorkerProgress,
getSegmentationDataForWorker,
prepareVolumeStrategyDataForWorker,
prepareStackDataForWorker,
} from './utilsForWorker';
/**
* Get largest bidirectional measurements for segmentation
* @param segmentationId - The segmentation ID
* @param segmentIndices - The segment indices
* @param mode - The computation mode
* @returns Bidirectional measurement data
*/
export async function getSegmentLargestBidirectional({
segmentationId,
segmentIndices,
mode = 'individual',
}) {
// Todo: handle the 'collective' mode where segment indices are merged together
registerComputeWorker();
triggerWorkerProgress(WorkerTypes.COMPUTE_LARGEST_BIDIRECTIONAL, 0);
const segData = getSegmentationDataForWorker(segmentationId, segmentIndices);
if (!segData) {
return;
}
const { operationData, segImageIds, reconstructableVolume, indices } =
segData;
const bidirectionalData = reconstructableVolume
? await calculateVolumeBidirectional({
operationData,
indices,
mode,
})
: await calculateStackBidirectional({
segImageIds,
indices,
mode,
});
triggerWorkerProgress(WorkerTypes.COMPUTE_LARGEST_BIDIRECTIONAL, 100);
return bidirectionalData;
}
/**
* Calculate bidirectional measurements for a volume
* @param operationData - The operation data
* @param indices - The segment indices
* @param mode - The computation mode
* @returns Bidirectional measurement data
*/
async function calculateVolumeBidirectional({ operationData, indices, mode }) {
// Get the strategy data
const strategyData = prepareVolumeStrategyDataForWorker(operationData);
const { segmentationVoxelManager, segmentationImageData } = strategyData;
const segmentationScalarData =
segmentationVoxelManager.getCompleteScalarDataArray();
const segmentationInfo = {
scalarData: segmentationScalarData,
dimensions: segmentationImageData.getDimensions(),
spacing: segmentationImageData.getSpacing(),
origin: segmentationImageData.getOrigin(),
direction: segmentationImageData.getDirection(),
};
const bidirectionalData = await getWebWorkerManager().executeTask(
'compute',
'getSegmentLargestBidirectionalInternal',
{
segmentationInfo,
indices,
mode,
}
);
return bidirectionalData;
}
/**
* Calculate bidirectional measurements for a stack
* @param segImageIds - The segmentation image IDs
* @param indices - The segment indices
* @param mode - The computation mode
* @returns Bidirectional measurement data
*/
async function calculateStackBidirectional({ segImageIds, indices, mode }) {
// Get segmentation and image info for each image in the stack
const { segmentationInfo } = prepareStackDataForWorker(segImageIds);
const bidirectionalData = await getWebWorkerManager().executeTask(
'compute',
'getSegmentLargestBidirectionalInternal',
{
segmentationInfo,
indices,
mode,
isStack: true,
}
);
return bidirectionalData;
}
|