TY - JOUR
T1 - Deformable registration of cortical structures via hybrid volumetric and surface warping
AU - Liu, Tianming
AU - Shen, Dinggang
AU - Davatzikos, Christos
N1 - Funding Information:
This work was supported by NIH grant R01 AG14971 and by NIH grant R01 NS42645. Images were acquired as part of the neuroimaging study of the Baltimore Longitudinal Study of Aging (BLSA).
PY - 2003
Y1 - 2003
N2 - This paper presents a method of deformable registration of cortical structures across individuals, using hybrid volumetric and surface warping. The proposed method uses two steps. In the first step, a HAMMER-based volumetric registration algorithm warps the model surface to the individual's space. In the second step, an attribute-based surface registration method further refines the results of the volumetric warping. An attribute vector is defined for each vertex on the cortical surface, and used to capture the local and global geometric features of the surface patch. The attribute vector is designed to be as distinctive as possible, so that each vertex on the model surface can find its correspondence on the individual surface. Experimental results on synthesized and real brain data are provided to demonstrate the performance of the proposed method in registering cortical structures across individuals.
AB - This paper presents a method of deformable registration of cortical structures across individuals, using hybrid volumetric and surface warping. The proposed method uses two steps. In the first step, a HAMMER-based volumetric registration algorithm warps the model surface to the individual's space. In the second step, an attribute-based surface registration method further refines the results of the volumetric warping. An attribute vector is defined for each vertex on the cortical surface, and used to capture the local and global geometric features of the surface patch. The attribute vector is designed to be as distinctive as possible, so that each vertex on the model surface can find its correspondence on the individual surface. Experimental results on synthesized and real brain data are provided to demonstrate the performance of the proposed method in registering cortical structures across individuals.
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U2 - 10.1007/978-3-540-39903-2_95
DO - 10.1007/978-3-540-39903-2_95
M3 - Conference article
AN - SCOPUS:11244343024
SN - 0302-9743
VL - 2879
SP - 780
EP - 787
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
IS - PART 2
T2 - Medical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings
Y2 - 15 November 2003 through 18 November 2003
ER -