Our BrainPrint tools provide shape descriptors of neuroanatomical structures and require a FastSurfer or FreeSurfer segmentation as a pre-processing step. BrainPrint is based on “ ShapeDNA”, a spectral shape descriptor well suited for the analysis of non-rigid bendable shapes like biological structures.
In spectral shape analysis we employ the spectrum of the Laplace-Beltrami operator as a shape descriptor for the analysis of shape differences. The main advantage is that this descriptor is isometry invariant — distances measured along the surface stay the same regardless of pose. So a hand with different finger positions or a person in different body postures will be (near) isometric. We are thus able to identify similar deformable objects even if they cannot be aligned with a rigid transformation.
We have extended this work to analyze brain shape changes with respect to symmetry, heritability, and computer-aided diagnosis of neurodegenerative disease. The code for the BrainPrint tools is available on GitHub and documentation can be found here.