# Creating mesh from volumetric array

3 views (last 30 days)
Alan Jeskey on 31 Mar 2022
Edited: Riccardo Scorretti on 1 Apr 2022
I am currently utilizing data taken from CT scans edited within MATLAB to output an obj mesh for potential augmented reality visualization.
For this, I have created an edited matrix which is a 276x276x8 uint8. I can utilize volumeViewer to show the data has been segmented and only showing the desired patient data, however I am struggling to take this array and input into any meshing format for output.
The current code looks like this:
folder2 = "C:\Users\Hidde\Documents\MATLAB\CT_Abdomen";
V = squeeze(V);
V2 = im2uint8(V);
maxValue = max(V2,[],'all');
T = maxValue *(.80);
T2 = maxValue * (.4);
[a,b,c] = size(V2);
V3 = zeros(a,b,c);
for l = 1:a
for m = 1:b
for n = 1:c
if V2(l,m,n) <= T && V2(l,m,n) >= T2
V3(l,m,n) = V2(l,m,n);
else
V3(l,m,n) = 0;
end
end
end
end
V3 = im2uint8(V3);
V3 = V3(225:500,125:400,1:8);
volumeViewer(V3)
V3 is 276x276x8 uint8 and V4 is 276x276x8 double format.
Can someone help me convert this data into a format which works with mesh, meshgrid, or trimesh?
Shown is the volumeViewer of V3. Kevin Holly on 31 Mar 2022
Edited: Kevin Holly on 31 Mar 2022
Here I made a meshgrid and then created a 3D scatter plot with the intensity displayed as a color.
% Randomly generate an volume
V = uint8(255*rand(276,276,8));
x=1:size(V,1);
y=1:size(V,2);
z=1:size(V,3);
[X,Y,Z]=meshgrid(x,y,z);
x=reshape(X,1,[]);
y=reshape(Y,1,[]);
z=reshape(Z,1,[]);
intensity = reshape(V,1,[]);
M = [x;y;z;intensity];
figure
scatter3(M(1,:),M(2,:),M(3,:),[],M(4,:),'filled')
colormap(bone)
colorbar Riccardo Scorretti on 31 Mar 2022
Edited: Riccardo Scorretti on 1 Apr 2022
Dear Alan,
perhaps for your purpose you could try to use the marching cube algorithm. A Matlab implementation is available here: https://fr.mathworks.com/matlabcentral/fileexchange/32506-marching-cubes
Given the kind of data you want to display, I sincerely think that this is your best option. An alternative could be to generate a mesh composed by tetrahedra (for instance by using iso2mesh: http://iso2mesh.sourceforge.net/cgi-bin/index.cgi), but this is a very complex procedure, and even if you manage to do it, I'm pretty sure it will not provide a better result.
Here you are a complete code which downloads a computational phantom from the web and render the blood. You have to download the function MarchingCube.m to run this code.
fid = fopen('alvar.mat', 'w');
fwrite(fid, buffer) ; clear buffer
fclose(fid);
% Load it and undersample it (the model is huge)
under = 4;
voxelData = voxelData(1:under:end, 1:under:end, 1:under:end);
x = x(1:under:end) ; y = y(1:under:end) ; z = z(1:under:end);
% Isolate the blood and artery (this is nasty, but I didn't manage to do otherwise)
buffer = voxelData;
buffer(buffer ~= 5 & buffer ~= 8) = 0;
% Render it by using the marching cube algorithm
[x_, y_, z_] = meshgrid(single(y), single(x), single(z)); % *** mind the order of input args ***
[F, V, col] = MarchingCubes(x_, y_, z_, buffer, 1);
view(3) ; axis image ; camproj perspective
% The model can be also rendered in a separate window as:
figure
patch('vertices', V, 'faces', F, 'edgecolor', 'none', ...
'facecolor', 'b');
view(3) ; axis image ; camproj perspective
On my PC this code produced the following figure: Enjoy

R2021b

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