Intrinsic Surface Mapping

Intrinsic Surface Mapping develops novel algorithms for surface reconstruction, modeling and analysis. By removing unnecessary metric distortion, it will provide greatly improved accuracy and power in detecting alterations to brain anatomy and function in disease studies.
Using intrinsic geometry, in particular the Laplace-Beltrami spectrum, TR&D3 will develop a suite of novel tools for shape-based analysis of cortical, sub-cortical and white matter structures. A fundamental limitation of existing methods based on spherical registration is the metric distortion that arises during the parameterization step. By eliminating this distortion, TR&D3 provides a more accurate framework for mapping brain anatomy.

These tools will ultimately enable the robust and accurate comparison of structural variations in development and pathology across populations.