Using a deformable surface model to obtain a shape representation of the cortex

Author

Davatzikos, Christos ; Bryan, R. Nick

Author_Institution

Dept. of Radiol. & Radiol. Sci., Johns Hopkins Univ., Baltimore, MD, USA

Volume

15

Issue

6

fYear

1996

fDate

12/1/1996 12:00:00 AM

Firstpage

785

Lastpage

795

Abstract

This paper examines the problem of obtaining a mathematical representation of the outer cortex of the human brain, which is a key problem in several applications, including morphological analysis of the brain, and spatial normalization and registration of brain images. A parameterization of the outer cortex is first obtained using a deformable surface algorithm which, motivated by the structure of the cortex, is constructed to find the central layer of thick surfaces. Based on this parameterization, a hierarchical representation of the outer cortical structure is proposed through its depth map and its curvature maps at various scales. Various experiments on magnetic resonance data are presented

Keywords

biomedical NMR; brain models; image registration; medical image processing; brain images registration; cortex shape representation; curvature maps; deformable surface algorithm; deformable surface model; depth map; hierarchical representation; human brain; magnetic resonance data; mathematical representation; medical diagnostic imaging; spatial normalization; thick surfaces central layer; Brain modeling; Deformable models; Helium; Humans; Image analysis; Magnetic resonance; Mathematical model; Radiology; Shape; Surface morphology;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/42.544496

Filename

544496