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Proceedings Paper

Cortical correspondence via sulcal curve-constrained spherical registration with application to Macaque studies
Author(s): Ilwoo Lyu; Sun Hyung Kim; Joon-Kyung Seong; Sang Wook Yoo; Alan C. Evans; Yundi Shi; Mar Sanchez; Marc Niethammer; Martin A. Styner
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Paper Abstract

In this work, we present a novel cortical correspondence method with application to the macaque brain. The correspondence method is based on sulcal curve constraints on a spherical deformable registration using spherical harmonics to parameterize the spherical deformation. Starting from structural MR images, we first apply existing preprocessing steps: brain tissue segmentation using the Automatic Brain Classification tool (ABC), as well as cortical surface reconstruction and spherical parametrization of the cortical surface via Constrained Laplacian-based Automated Segmentation with Proximities (CLASP). Then, initial correspondence between two cortical surfaces is automatically determined by a curve labeling method using sulcal landmarks extracted along sulcal fundic regions. Since the initial correspondence is limited to sulcal regions, we use spherical harmonics to extrapolate and regularize this correspondence to the entire cortical surface. To further improve the correspondence, we compute a spherical registration that optimizes the spherical harmonic parameterized deformation using a metric that incorporates the error over the sulcal landmarks as well as the normalized cross correlation of sulcal depth maps over the whole cortical surface. For evaluation, a normal 18-months-old macaque brain (for both left and right hemispheres) was matched to a prior macaque brain template with 9 manually labeled, major sulcal curves. The results show successful registration using the proposed registration approach. Evaluation results for optimal parameter settings are presented as well.

Paper Details

Date Published: 13 March 2013
PDF: 7 pages
Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 86692X (13 March 2013); doi: 10.1117/12.2006459
Show Author Affiliations
Ilwoo Lyu, Univ. of North Carolina at Chapel Hill (United States)
Sun Hyung Kim, Univ. of North Carolina at Chapel Hill (United States)
Joon-Kyung Seong, Soongsil Univ. (Korea, Republic of)
Sang Wook Yoo, Korea Advanced Institute of Science and Technology (Korea, Republic of)
Alan C. Evans, Montreal Neurological Institute, McGill Univ. (Canada)
Yundi Shi, Univ. of North Carolina at Chapel Hill (United States)
Mar Sanchez, Emory Univ. (United States)
Marc Niethammer, Univ. of North Carolina at Chapel Hill (United States)
Martin A. Styner, Univ. of North Carolina at Chapel Hill (United States)

Published in SPIE Proceedings Vol. 8669:
Medical Imaging 2013: Image Processing
Sebastien Ourselin; David R. Haynor, Editor(s)

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