Share Email Print

Proceedings Paper

A new combined surface and volume registration
Author(s): Natasha Lepore; Anand A. Joshi; Richard M. Leahy; Caroline Brun; Yi-Yu Chou; Xavier Pennec; Agatha D. Lee; Marina Barysheva; Greig I. De Zubicaray; Margaret J. Wright; Katie L. McMahon; Arthur W. Toga; Paul M. Thompson
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

3D registration of brain MRI data is vital for many medical imaging applications. However, purely intensitybased approaches for inter-subject matching of brain structure are generally inaccurate in cortical regions, due to the highly complex network of sulci and gyri, which vary widely across subjects. Here we combine a surfacebased cortical registration with a 3D fluid one for the first time, enabling precise matching of cortical folds, but allowing large deformations in the enclosed brain volume, which guarantee diffeomorphisms. This greatly improves the matching of anatomy in cortical areas. The cortices are segmented and registered with the software Freesurfer. The deformation field is initially extended to the full 3D brain volume using a 3D harmonic mapping that preserves the matching between cortical surfaces. Finally, these deformation fields are used to initialize a 3D Riemannian fluid registration algorithm, that improves the alignment of subcortical brain regions. We validate this method on an MRI dataset from 92 healthy adult twins. Results are compared to those based on volumetric registration without surface constraints; the resulting mean templates resolve consistent anatomical features both subcortically and at the cortex, suggesting that the approach is well-suited for cross-subject integration of functional and anatomic data.

Paper Details

Date Published: 12 March 2010
PDF: 9 pages
Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76231E (12 March 2010); doi: 10.1117/12.844434
Show Author Affiliations
Natasha Lepore, Univ. of California, Los Angeles (United States)
Univ. of Southern California (United States)
Anand A. Joshi, Univ. of California, Los Angeles (United States)
Richard M. Leahy, The Univ. of Southern California (United States)
Caroline Brun, Univ. of California, Los Angeles (United States)
Yi-Yu Chou, Univ. of California, Los Angeles (United States)
Xavier Pennec, INRIA Sophia (France)
Agatha D. Lee, Univ. of California, Los Angeles (United States)
Marina Barysheva, Univ. of California, Los Angeles (United States)
Greig I. De Zubicaray, Univ. of Queensland (Australia)
Margaret J. Wright, Queensland Institute of Medical Research (Australia)
Katie L. McMahon, Univ. of Queensland (Australia)
Arthur W. Toga, Univ. of California, Los Angeles (United States)
Paul M. Thompson, Univ. of California, Los Angeles (United States)

Published in SPIE Proceedings Vol. 7623:
Medical Imaging 2010: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

© SPIE. Terms of Use
Back to Top