Fitting surface to 3D data from a CT stack

I have about 100 slices of CT images of size 512 by 512. I segmented the bone from it and got a 3D matrix. Now I want to identify how the left side of the bone model is different from the right. So, I am trying to fit a surface to it and analyze the surface. I am unable to fit a surface to the 3D model I have. Most of the surface fitting I found had no more than 3 slices of data.

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What surface model did you use?
I tried using cftool but realized that I need to have x,y & z variables separately! So I could not do it. Should I resize the matrix before I try fitting a surface?
What is the model equation for the surface?

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回答(1 个)

Try using lsqcurvefit in the Optimization Toolbox or NonLinearModel.fit in the Statistics Toolbox. These allow for an arbitrary number of dimensions.

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I only have Image Processing & Curve Fitting Toolboxes. I tried to download lsqcurvefit source code but it did not work. Is there any other way to do it.

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提问:

2014-10-13

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2014-10-13

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