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

1 visualización (últimos 30 días)
how can crooped subvolume containing all voxels that have intensity in the interval [-100,200]HU from 3D ct images

Respuesta aceptada

Walter Roberson
Walter Roberson el 4 de Ag. de 2016
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 comentarios
alaa shamasneh
alaa shamasneh el 4 de Ag. de 2016
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 el 4 de Ag. de 2016
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()

Iniciar sesión para comentar.

Más respuestas (0)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by