How can I extract 3D features form a stack of 2D images?

3 views (last 30 days)
I am conducting a lung nodule detection form CT scan images. I extract the nodule candidates form series of 2D CT images. Then I stack the extracted ROIs to get a 3D image. After that I want to extract 3D features, but I don't know how can I extract the features from 3D directly or from each layers of 2D images. Please kindly suggest me how can I extract 3D features form a stack of 2D images.
srcFiles = dir('R_006S\*.jpg'); % the folder in which images exists
n = length(srcFiles);
a={}; slices={};
for i = 1:n
fileName = strcat('R_006S\',srcFiles(i).name);
a{i} = imread(fileName);
slices{i} = (a{i});
X = cat(3,slices{1:end});
map = hsv(90);
XR = X;
Ds = smooth3(XR);
hiso = patch(isosurface(Ds,5),'FaceColor','green','EdgeColor','none');
hcap = patch(isocaps(XR,5),'FaceColor','interp','EdgeColor','none');
fig = gcf;
fig.Renderer = 'zbuffer';
lighting phong
hcap.AmbientStrength = .6;
hiso.SpecularColorReflectance = 0;
hiso.SpecularExponent = 50;
ax = gca;
ax.View = [215,30];
ax.Box = 'On';
axis tight
title('Original Data');
May on 4 Mar 2017
Thank you for your suggest. I want to extract the shape (round or not), volume, diameter, contrast and stolidity of VOI.

Sign in to comment.

Accepted Answer

Image Analyst
Image Analyst on 4 Mar 2017
Do something (filtering or whatever is needed) to get to a point where you can threshold. Then threshold, label, and call regionprops().

More Answers (1)

MDanit on 15 Mar 2017
Could you please provide your full answer here? As I have the same problem.

Sign in to comment.


Find more on Images in Help Center and File Exchange

Community Treasure Hunt

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

Start Hunting!