Share Email Print
cover

Proceedings Paper

Automatic feature-based surface mapping for brain cortices
Author(s): Fabien Vivodtzev; David F. Wiley; Lars Linsen; James Jones; Nina Amenta; Bernd Hamann; Kenneth I. Joy
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 16 January 2006
PDF: 12 pages
Proc. SPIE 6060, Visualization and Data Analysis 2006, 60600V (16 January 2006); doi: 10.1117/12.644541
Show Author Affiliations
Fabien Vivodtzev, Lab. GRAVIR (France)
David F. Wiley, Univ. of California, Davis (United States)
Lars Linsen, Ernst-Moritz-Arndt-Univ. Greifswald (Germany)
James Jones, Univ. of California, Davis (United States)
Nina Amenta, Univ. of California, Davis (United States)
Bernd Hamann, Univ. of California, Davis (United States)
Kenneth I. Joy, Univ. of California, Davis (United States)


Published in SPIE Proceedings Vol. 6060:
Visualization and Data Analysis 2006
Robert F. Erbacher; Jonathan C. Roberts; Matti T. Gröhn; Katy Börner, Editor(s)

© SPIE. Terms of Use
Back to Top