reconstruct 3D image

4 visualizaciones (últimos 30 días)
Zaitul
Zaitul el 7 de Nov. de 2016
Editada: Ahmet Cecen el 10 de Nov. de 2016
Hi, i have 20 of 2D images in dicom format and i want to reconstruct the 3D image. How can i do this in MATLAB? here i attached my code and i hope anyone could help me to fix it. Many thanks
a = dicomread ('brain_001.dcm')
mask = zeros(size(a));
mask(100:end-50,100:end-50) = 1;
bw = activecontour(a,mask,1000);
% for p=1:20
% filename = sprintf('brain_%03d.dcm', p);
% a(:,:,1,p) =double(dicomread(filename));
% end
c = im2double(bw);
shading flat
d = imgaussfilt3 (c,2);
for p=1:20
filename = sprintf('brain_%03d.dcm', p);
a(:,:,1,p) =double(dicomread(filename));
end
colormap(copper)
e = mesh(d.*100)
  3 comentarios
Walter Roberson
Walter Roberson el 7 de Nov. de 2016
implay looks for M-by-N-by-1-by-K for grayscale.
Zaitul
Zaitul el 10 de Nov. de 2016
Editada: Zaitul el 10 de Nov. de 2016
i want to make the 3D image from those 2D images. what should i do for c and d? i'm a bit confused when i'm doing the loop for p. i'm sorry as i'm just realized there's only 20 slices of image actually.

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Respuestas (1)

Ahmet Cecen
Ahmet Cecen el 10 de Nov. de 2016
Editada: Ahmet Cecen el 10 de Nov. de 2016
Too vague to answer directly, but here are two helpful tips:
1) Whatever you are doing, in the end you need to stack the images on the 3rd dimension not 4th.
NOT
a(:,:,1,p) =double(dicomread(filename));
BUT
a(:,:,p) =double(dicomread(filename));
2) Do not try to visualize 3D data in MATLAB, unless it is a surface. MATLAB figures (as far as I know) do not support pixel shading, so your figures will look very flat. Instead use Paraview. You can use this function to export your 3D matrix once you have that in MATLAB. Below is an example of a 3D reconstruction I visualized following the same procedure.Notice the depth/shading.

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