TY - GEN
T1 - Automatic cortical sulcal parcellation based on surface principal direction flow field tracking
AU - Li, Gang
AU - Guo, Lei
AU - Nie, Jingxin
AU - Liu, Tianming
PY - 2009
Y1 - 2009
N2 - Automatic parcellation of cortical surfaces into sulcal based regions is of great importance in structural and functional mapping of human brain. In this paper, a novel method is proposed for automatic cortical sulcal parcellation based on the geometric characteristics of the cortical surface including its principal curvatures and principal directions. This method is composed of two major steps: 1) employing the hidden Markov random field model (HMRF) and the expectation maximization (EM) algorithm on the maximum principal curvatures of the cortical surface for sulcal region segmentation, and 2) using a principal direction flow field tracking method on the cortical surface for sulcal basin segmentation. The flow field is obtained by diffusing the principal direction field on the cortical surface. The method has been successfully applied to the inner cortical surfaces of twelve healthy human brain MR images. Both quantitative and qualitative evaluation results demonstrate the validity and efficiency of the proposed method.
AB - Automatic parcellation of cortical surfaces into sulcal based regions is of great importance in structural and functional mapping of human brain. In this paper, a novel method is proposed for automatic cortical sulcal parcellation based on the geometric characteristics of the cortical surface including its principal curvatures and principal directions. This method is composed of two major steps: 1) employing the hidden Markov random field model (HMRF) and the expectation maximization (EM) algorithm on the maximum principal curvatures of the cortical surface for sulcal region segmentation, and 2) using a principal direction flow field tracking method on the cortical surface for sulcal basin segmentation. The flow field is obtained by diffusing the principal direction field on the cortical surface. The method has been successfully applied to the inner cortical surfaces of twelve healthy human brain MR images. Both quantitative and qualitative evaluation results demonstrate the validity and efficiency of the proposed method.
KW - Sulcal basin segmentation
KW - Sulcal region segmentation
UR - http://www.scopus.com/inward/record.url?scp=70349331415&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-02498-6_17
DO - 10.1007/978-3-642-02498-6_17
M3 - 会议稿件
C2 - 19694264
AN - SCOPUS:70349331415
SN - 3642024971
SN - 9783642024979
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 202
EP - 214
BT - Information Processing in Medical Imaging - 21st International Conference, IPMI 2009, Proceedings
T2 - 21st International Conference on Information Processing in Medical Imaging, IPMI 2009
Y2 - 5 July 2009 through 10 July 2009
ER -
