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how can cropped subvolume containing all voxels that have intensity in the interval [-100,200]HU from 3D ct images

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how can crooped subvolume containing all voxels that have intensity in the interval [-100,200]HU from 3D ct images

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Walter Roberson
Walter Roberson 2016 年 8 月 4 日
mask = YourVoxels >= -100 & YourVoxels <= 200;
any1 = any(mask,1);
any12 = any(any1, 2);
start_pane = find( any12, 1, 'first');
end_pane = find( any12, 1, 'last');
any13 = any(any1, 3);
start_col = find( any13, 1, 'first');
end_col = find( any13, 1, 'last');
any23 = any(any( mask, 2), 3);
start_row = find( any23, 1, 'first');
end_row = find( any23, 1, 'last');
sub_volume = YourVoxels(start_row : end_row, start_col : end_col, start_pane : end_pane );
Alternately,
mask = YourVoxels >= -100 & YourVoxels <= 200;
rinfo = regionprops( double(mask), 'BoundingBox');
bb = rinfo.BoundingBox;
sub_volume = YourVoxels(bb(1) : bb(1) + bb(4) - 1, bb(2) : bb(2) + bb(5) - 1, bb(3) : bb(3) + bb(6) - 1);
Or if you want that more verbosely:
mask = YourVoxels >= -100 & YourVoxels <= 200;
rinfo = regionprops( double(mask), 'BoundingBox');
bb = rinfo.BoundingBox;
start_row = bb(1);
end_row = bb(1) + bb(4) - 1;
start_col = bb(2);
end_col = bb(2) + bb(5) - 1;
start_pane = bb(3);
end_pane = bb(3) + bb(6) - 1;
sub_volume = YourVoxels(start_row : end_row, start_col : end_col, start_pane : end_pane );
  2 件のコメント
alaa shamasneh
alaa shamasneh 2016 年 8 月 4 日
can you send to me the whole code from beggining cause i try to apply same code on the image above but its not working
Walter Roberson
Walter Roberson 2016 年 8 月 4 日
My first version works without changes.
The second version should be
mask = YourVoxels >= -100 & YourVoxels <= 200;
rinfo = regionprops( double(mask), 'BoundingBox');
bb = ceil(rinfo.BoundingBox);
sub_volume = YourVoxels(bb(2) : bb(2) + bb(5) - 1, bb(1) : bb(1) + bb(4) - 1, bb(3) : bb(3) + bb(6) - 1);
The image you posted is not a 3D CT image: it is a 2D slice of a CT image that has had its values shifted and scaled, and then it has been blurred (by saving as JPEG.) The YourVoxels array that you should be using is the data that you get from dicomread()

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