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 | import type { Types } from '@cornerstonejs/core';
import type { VoxelManager } from '@cornerstonejs/core/utilities';
type NumberVoxelManager = VoxelManager<number>;
type NeighborhoodStats = {
mean: number;
stdDev: number;
count: number;
};
/**
* Mean and standard deviation over a cubic neighborhood, read through the voxel
* manager's `getAtIJK` (no full scalar buffer required).
*
* Bundled with the flood-fill engine so it can take an optional `mapValue`
* (e.g. VOI-mapped intensity) without changing core's shared
* `calculateNeighborhoodStats`, whose signature other tools depend on.
*
* @param mapValue - If set, each sample is passed through this before mean/std.
*/
export function calculateNeighborhoodStatsVM(
voxelManager: NumberVoxelManager,
dimensions: Types.Point3,
centerIjk: Types.Point3,
radius: number,
mapValue?: (v: number) => number
): NeighborhoodStats {
const [width, height, numSlices] = dimensions;
let sum = 0;
let sumSq = 0;
let count = 0;
const [cx, cy, cz] = centerIjk.map(Math.round);
for (let z = cz - radius; z <= cz + radius; z++) {
if (z < 0 || z >= numSlices) {
continue;
}
for (let y = cy - radius; y <= cy + radius; y++) {
if (y < 0 || y >= height) {
continue;
}
for (let x = cx - radius; x <= cx + radius; x++) {
if (x < 0 || x >= width) {
continue;
}
const raw = Number(voxelManager.getAtIJK(x, y, z));
const value = mapValue ? mapValue(raw) : raw;
sum += value;
sumSq += value * value;
count++;
}
}
}
if (count === 0) {
if (
cx >= 0 &&
cx < width &&
cy >= 0 &&
cy < height &&
cz >= 0 &&
cz < numSlices
) {
const raw = Number(voxelManager.getAtIJK(cx, cy, cz));
const centerValue = mapValue ? mapValue(raw) : raw;
return { mean: centerValue, stdDev: 0, count: 1 };
}
return { mean: 0, stdDev: 0, count: 0 };
}
const mean = sum / count;
const variance = sumSq / count - mean * mean;
const stdDev = Math.sqrt(Math.max(0, variance));
return { mean, stdDev, count };
}
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