jvwilliams23 / pyssam Goto Github PK

To demonstrate how to determine SSM coefficients, we should add a jupyter notebook tutorial.
This may require creation of a toy dataset to enable creating two groups of similar shapes, but with sufficient difference to separation of SSM coefficients.

Related to #2

Hello Williams
Sorry to disturb
I'd like to ask how to understand the meaning of "ssm_obj.pca_model_components". If I have 20 landmark files, and I want to get the first three eigenvectors of covariance matrix, can these three eigenvectors represent the information of the above 20 landmark files?
Best wishes!

Hello Josh,

I'm currently working on my Bachelor's Thesis. It's about statistical shape modeling using the example of femoral heads. I segmented my CT-scans and now have a 3D model of each femoral head.
I could not find any code, to automatically set landmarks on my segmentation. I tried using your code by having the segmentations as STL-data and using those already existing landmarks. That obviously did not make sense because my data is not oriented and I don't think it would work either way.
You mentioned that you used an automatic algorithm detailed by [Ferrarini et al. (2007)]. Is it possible to share this code?

Thanks for your help.

Best wishes,

Lara