Improving MPR Performance in OHIF for Large Studies with Over 3000 Images

[ohif]

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@suneetha_j: Hi, MPR got crashing the browser, study with greater than 3000 images, do we have any solutions for this to improve ?

@Hemant_Patel: Use int16 data type

@suneetha_j: thanks

@Enas_Mostafa: You can downsample the captured slices to prevent memory leaks.
I applied this solution while calling getImageIdsForDisplaySet.
The MaxVolumeCount is configurable in the app-config.

getImageIdsForDisplaySet(displaySet, volume) {
const images = displaySet.images;
const imageIds = ;

  if (!images) {
    return imageIds;
  }

  const imageCount = displaySet.images.length;

  let increment = 1;

  //For series with images count greater than
  if (volume && imageCount > MaxVolumeCount) {
    increment = Math.round(imageCount / MaxVolumeCount);
  }

  for (
    var i = 0;
    i < imageCount;
    i += increment // displaySet.images.forEach(instance => {
  )