TY - JOUR
T1 - Using a deformable surface model to obtain a shape representation of the cortex
AU - Davatzikos, Christos
N1 - Funding Information:
Manuscript received June 8, 1995; revised August 16, 1996.. This work was partly supported by the National Institutes of Health under Grants NIH-AG-93-07 and R01-AG-3-2124 as part of the Human Brain Project. The Associate Editor responsible for coordinating the review of this paper and recommending its publication was J. Duncan. Asterisk indicates corresponding author. *C. Davatzikos is with the Division of Neuroradiology Department of Radiology and Radiological Science, at The Johns Hopkins University, School of Medicine, 600 N. Wolfe St., Baltimore, MD 21287 USA (e-mail: hristos@ we1chlink.welch.jhu.edu).
PY - 1996
Y1 - 1996
N2 - 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 dcformable 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.
AB - 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 dcformable 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.
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U2 - 10.1109/42.544496
DO - 10.1109/42.544496
M3 - Article
C2 - 18215958
AN - SCOPUS:0030394712
SN - 0278-0062
VL - 15
SP - 785
EP - 795
JO - IEEE transactions on medical imaging
JF - IEEE transactions on medical imaging
IS - 6
ER -