calculate sbr in vascular image stacks through binarization in javascript

index.tsx
// Assume `stack` is the image stack
for(let i=0; i<stack.length; i++) {
  let grayscaleStack = stack[i].clone().greyscale();
}
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index.tsx
// Assume `threshold` is the threshold computed using any binarization algorithm
for(let i=0; i<grayscaleStack.length; i++) {
  let binaryStack = grayscaleStack[i].clone().threshold(threshold);
}
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index.tsx
let roiSum = 0, roiCount = 0;
for(let i=0; i<binaryStack.length; i++) {
  let binaryImage = binaryStack[i];
  let roi = binaryImage.getRoi();
  roiCount += roi.count();
  roi.forEach((x, y) => {
    roiSum += grayscaleStack[i].getPixel(x, y);
  });
}
let roiMean = roiSum / roiCount;
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index.tsx
let bgSum = 0, bgCount = 0;
for(let i=0; i<binaryStack.length; i++) {
  let binaryImage = binaryStack[i];
  let bg = binaryImage.getBg();
  bgCount += bg.count();
  bg.forEach((x, y) => {
    bgSum += grayscaleStack[i].getPixel(x, y);
  });
}
let bgMean = bgSum / bgCount;
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index.tsx
let sbr = roiMean / bgMean;
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