125 lines
4.1 KiB
JavaScript
125 lines
4.1 KiB
JavaScript
import * as cornerstoneWADOImageLoader from 'cornerstone-wado-image-loader'
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function parseImageId(imageId) {
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// build a url by parsing out the url scheme and frame index from the imageId
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const firstColonIndex = imageId.indexOf(':');
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let url = imageId.substring(firstColonIndex + 1);
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const frameIndex = url.indexOf('frame=');
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let frame;
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if (frameIndex !== -1) {
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const frameStr = url.substr(frameIndex + 6);
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frame = parseInt(frameStr, 10);
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url = url.substr(0, frameIndex - 1);
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}
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return {
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scheme: imageId.substr(0, firstColonIndex),
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url,
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frame,
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};
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}
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function getNumberValues(dataSet, tag, minimumLength) {
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const values = [];
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const valueAsString = dataSet.string(tag);
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if (!valueAsString) {
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return;
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}
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const split = valueAsString.split('\\');
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if (minimumLength && split.length < minimumLength) {
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return;
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}
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for (let i = 0; i < split.length; i++) {
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values.push(parseFloat(split[i]));
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}
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return values;
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}
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function metaDataProvider(type, imageId) {
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const parsedImageId = parseImageId(imageId);
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const dataSet = cornerstoneWADOImageLoader.wadouri.dataSetCacheManager.get(parsedImageId.url);
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if (!dataSet) {
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return;
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}
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if (type === 'imagePlaneModule') {
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const imageOrientationPatient = getNumberValues(dataSet, 'x00200037', 6);
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const imagePositionPatient = getNumberValues(dataSet, 'x00200032', 3);
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const pixelSpacing = getNumberValues(dataSet, 'x00280030', 2);
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const imagePixelSpacing = getNumberValues(dataSet, 'x00181164', 2);
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const estimatedRadiographicMagnificationFactor = getNumberValues(dataSet, 'x00181114', 2);
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let columnPixelSpacing = null;
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let rowPixelSpacing = null;
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if (pixelSpacing) {
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rowPixelSpacing = pixelSpacing[0];
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columnPixelSpacing = pixelSpacing[1];
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} else if (imagePixelSpacing && estimatedRadiographicMagnificationFactor) {
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rowPixelSpacing = imagePixelSpacing[0] / estimatedRadiographicMagnificationFactor[0];
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columnPixelSpacing = imagePixelSpacing[1] / estimatedRadiographicMagnificationFactor[1];
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} else if (imagePixelSpacing && !estimatedRadiographicMagnificationFactor) {
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rowPixelSpacing = imagePixelSpacing[0];
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columnPixelSpacing = imagePixelSpacing[1];
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}
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let rowCosines = null;
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let columnCosines = null;
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if (imageOrientationPatient) {
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rowCosines = [
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parseFloat(imageOrientationPatient[0]),
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parseFloat(imageOrientationPatient[1]),
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parseFloat(imageOrientationPatient[2]),
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];
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columnCosines = [
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parseFloat(imageOrientationPatient[3]),
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parseFloat(imageOrientationPatient[4]),
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parseFloat(imageOrientationPatient[5]),
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];
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}
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return {
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frameOfReferenceUID: dataSet.string('x00200052'),
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rows: dataSet.uint16('x00280010'),
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columns: dataSet.uint16('x00280011'),
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imageOrientationPatient,
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rowCosines,
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columnCosines,
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imagePositionPatient,
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sliceThickness: dataSet.floatString('x00180050'),
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sliceLocation: dataSet.floatString('x00201041'),
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pixelSpacing,
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rowPixelSpacing,
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columnPixelSpacing,
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};
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}
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if (type === 'imagePixelModule') {
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return {
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samplesPerPixel: dataSet.uint16('x00280002'),
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photometricInterpretation: dataSet.string('x00280004'),
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rows: dataSet.uint16('x00280010'),
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columns: dataSet.uint16('x00280011'),
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bitsAllocated: dataSet.uint16('x00280100'),
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bitsStored: dataSet.uint16('x00280101'),
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highBit: dataSet.uint16('x00280102'),
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pixelRepresentation: dataSet.uint16('x00280103'),
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planarConfiguration: dataSet.uint16('x00280006'),
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pixelAspectRatio: dataSet.uint16('x00280034'),
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smallestPixelValue: null,
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largestPixelValue: null,
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redPaletteColorLookupTableDescriptor: dataSet.string('x00281101'),
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greenPaletteColorLookupTableDescriptor: dataSet.string('x00281102'),
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bluePaletteColorLookupTableDescriptor: dataSet.string('x00281103'),
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redPaletteColorLookupTableData: dataSet.string('x00281201'),
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greenPaletteColorLookupTableData: dataSet.string('x00281202'),
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bluePaletteColorLookupTableData: dataSet.string('x00281203')
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}
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}
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}
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export default metaDataProvider; |