How to display the volume of a masked volume?
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For a 3D image or a stack of 2D images stored in a matrix format (Nx, Ny, Nz), there is a corresponding mask image of the same size that defines a 3D volume within the 3D image. How can I display only this masked volume using volshow or other functions to visualize the volume? Thank you.
1 Comment
  Rik
      
      
 on 23 Jan 2025
				Depending on what you want to do, simply multiplying the image by the mask (i.e. setting all non-mask voxels to 0) may already be enough.
What have you tried so far?
Answers (3)
  Jaimin
 on 29 Jan 2025
        Hi @John
To visualize only the masked volume from a 3D image using "volshow" function. you should first apply the mask to the 3D image. This involves multiplying the 3D image by the mask, which will set all voxels outside the mask to zero.
Kindly refer following code snippet for undertanding.
% Apply the mask to the volume data
maskedVolume = volumeData .* mask;
% Visualize the masked volume using volshow
volshow(maskedVolume);
For more information kindly refer following MathWorks documentation.
Thanks.
  Ronit
      
 on 3 Apr 2025
        Hello John,
If you want the visualization to focus specifically on the volume, you may need to adjust the view or the rendering options. Consider modifying the "Colormap" and "RenderingStyle" options:
vol = volshow(maskedVolume);
vol.Colormap = jet;
vol.RenderingStyle = 'VolumeRendering';
These adjustments can significantly improve the clarity and focus of the displayed volume.
Please refer to the documentation on "Volume Properties" for a better understanding of the options mentioned above:
Thanks,
Ronit
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  Walter Roberson
      
      
 on 3 Apr 2025
        Something like
vol1 = any(mask, [2 3]);
miny = find(vol1, 1, 'first');
maxy = find(vol1, 1, 'last');
vol2 = any(mask, [1 3]);
minx = find(vol2, 1, 'first');
maxx = find(vol2, 1, 'last');
vol3 = any(mask, [1 2]);
minz = find(vol3, 1, 'first');
maxz = find(vol3, 1, 'last');
vol = VolumeData(miny:maxy, minx:maxx, minz:maxz);
volshow(vol)
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