/
createMergedLabelmapForIndex.ts
65 lines (57 loc) · 2.05 KB
/
createMergedLabelmapForIndex.ts
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import { Types } from '@cornerstonejs/core';
import { volumeLoader, utilities as csUtils } from '@cornerstonejs/core';
/**
* Given a list of labelmaps (with the possibility of overlapping regions), and
* a segmentIndex it creates a new labelmap with the same dimensions as the input labelmaps,
* but merges them into a single labelmap for the segmentIndex. It wipes out
* all other segment Indices. This is useful for calculating statistics regarding
* a specific segment when there are overlapping regions between labelmap (e.g. TMTV)
*
* @param labelmaps - Array of labelmaps
* @param segmentIndex - The segment index to merge
* @returns Merged labelmap
*/
function createMergedLabelmapForIndex(
labelmaps: Array<Types.IImageVolume>,
segmentIndex = 1,
volumeId = 'mergedLabelmap'
): Types.IImageVolume {
labelmaps.forEach(({ direction, dimensions, origin, spacing }) => {
if (
!csUtils.isEqual(dimensions, labelmaps[0].dimensions) ||
!csUtils.isEqual(direction, labelmaps[0].direction) ||
!csUtils.isEqual(spacing, labelmaps[0].spacing) ||
!csUtils.isEqual(origin, labelmaps[0].origin)
) {
throw new Error('labelmaps must have the same size and shape');
}
});
const labelmap = labelmaps[0];
const arrayType = (labelmap.getScalarData() as any).constructor;
const outputData = new arrayType(labelmap.getScalarData().length);
labelmaps.forEach((labelmap) => {
const scalarData = labelmap.getScalarData();
for (let i = 0; i < scalarData.length; i++) {
if (scalarData[i] === segmentIndex) {
outputData[i] = segmentIndex;
}
}
});
const options = {
scalarData: outputData,
metadata: labelmap.metadata,
spacing: labelmap.spacing,
origin: labelmap.origin,
direction: labelmap.direction,
dimensions: labelmap.dimensions,
};
const preventCache = true;
// Todo: following should be async
const mergedVolume = volumeLoader.createLocalVolume(
options,
volumeId,
preventCache
);
return mergedVolume;
}
export default createMergedLabelmapForIndex;