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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 | import type { Types } from '@cornerstonejs/core'; import { parseAffineMatrix } from './affineUtilities'; /** * This converts scalar data: LPS to RAS and RAS to LPS */ const invertDataPerFrame = (dimensions, imageDataArray) => { let TypedArrayConstructor; let bytesPerVoxel; if ( imageDataArray instanceof Uint8Array || imageDataArray instanceof ArrayBuffer ) { TypedArrayConstructor = Uint8Array; bytesPerVoxel = 1; } else if (imageDataArray instanceof Int16Array) { TypedArrayConstructor = Int16Array; bytesPerVoxel = 2; } else if (imageDataArray instanceof Float32Array) { TypedArrayConstructor = Float32Array; bytesPerVoxel = 4; } else { throw new Error( 'imageDataArray needs to be a Uint8Array, Int16Array or Float32Array.' ); } // Make a copy of the data first using the browser native fast TypedArray.set(). const newImageDataArray = new TypedArrayConstructor( imageDataArray.byteLength ); const view = new TypedArrayConstructor(imageDataArray); newImageDataArray.set(view); // In order to switch from LP to RA within each slice, we just need to reverse each section. // We can do this in place using web api which is very fast, by taking views on different parts of a single buffer. const numFrames = dimensions[2]; const frameLength = dimensions[0] * dimensions[1]; const buffer = newImageDataArray.buffer; for (let frame = 0; frame < numFrames; frame++) { const byteOffset = frameLength * frame * bytesPerVoxel; // Get view of underlying buffer for this frame. const frameView = new TypedArrayConstructor( buffer, byteOffset, frameLength ); frameView.reverse(); } return newImageDataArray; }; function rasToLps(niftiHeader) { const { affine } = niftiHeader; // RAS const { orientation, origin, spacing } = parseAffineMatrix(affine); // LPS const newOrigin = [-origin[0], -origin[1], origin[2]] as Types.Point3; // Change row-major to column-major for LPS orientation const newOrientation = [ -orientation[0], -orientation[3], orientation[6], -orientation[1], -orientation[4], orientation[7], -orientation[2], -orientation[5], orientation[8], ]; return { origin: newOrigin, orientation: newOrientation, spacing, }; } function lpsToRas(header) { const { origin, orientation, spacing, dimensions, dataType } = header; const newOrigin = [-origin[0], -origin[1], origin[2]]; const newOrientation = [ -orientation[0], -orientation[3], orientation[6], -orientation[1], -orientation[4], orientation[7], -orientation[2], -orientation[5], orientation[8], ]; return { orientation: newOrientation, origin: [newOrigin[0], newOrigin[1], newOrigin[2]], dataType, dimensions, spacing, slope: header.slope, inter: header.inter, max: header.max, min: header.min, }; } export { lpsToRas, rasToLps, invertDataPerFrame }; |