Automatic feature-based surface mapping for brain cortices

Fabien Vivodtzev; David F. Wiley; Lars Linsen; James Jones; Nina Amenta; Bernd Hamann; Kenneth I. Joy

doi:10.1117/12.644541

16 January 2006 Automatic feature-based surface mapping for brain cortices

Fabien Vivodtzev, David F. Wiley, Lars Linsen, James Jones, Nina Amenta, Bernd Hamann, Kenneth I. Joy

Proceedings Volume 6060, Visualization and Data Analysis 2006; 60600V (2006) https://doi.org/10.1117/12.644541
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

We present a method that maps a complex surface geometry to an equally complicated, similar surface. One main objective of our effort is to develop technology for automatically transferring surface annotations from an atlas brain to a subject brain. While macroscopic regions of brain surfaces often correspond, the detailed surface geometry of corresponding areas can vary greatly. We have developed a method that simplifies a subject brain's surface forming an abstract yet spatially descriptive point cloud representation, which we can match to the abstract point cloud representation of the atlas brain using an approach that iteratively improves the correspondence of points. The generation of the point cloud from the original surface is based on surface smoothing, surface simplification, surface classification with respect to curvature estimates, and clustering of uniformly classified regions. Segment mapping is based on spatial partitioning, principal component analysis, rigid affine transformation, and warping based on the thin-plate spline (TPS) method. The result is a mapping between topological components of the input surfaces allowing for transfer of annotations.

Citation Download Citation

Fabien Vivodtzev, David F. Wiley, Lars Linsen, James Jones, Nina Amenta, Bernd Hamann, and Kenneth I. Joy "Automatic feature-based surface mapping for brain cortices", Proc. SPIE 6060, Visualization and Data Analysis 2006, 60600V (16 January 2006); https://doi.org/10.1117/12.644541

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available