Sulci Segmentation Using Geometric Active Contours

被引:0
|
作者
Torkaman, Mahsa [1 ,2 ]
Zhu, Liangjia [3 ]
Karasev, Peter [4 ]
Tannenbaum, Allen [1 ,2 ]
机构
[1] SUNY Stony Brook, Dept Comp Sci, Stony Brook, NY 11794 USA
[2] SUNY Stony Brook, Dept Appl Math & Stat, Stony Brook, NY 11794 USA
[3] Varian Med Syst Inc, Palo Alto, CA USA
[4] MiRus Spine & Orthopaed, Atlanta, GA USA
来源
MEDICAL IMAGING 2017: IMAGE PROCESSING | 2017年 / 10133卷
基金
美国国家卫生研究院;
关键词
cortex 3D mesh; sulci extraction; active contour model; level set; CURVATURE; EVOLUTION; CURVES; FLOWS;
D O I
10.1117/12.2249716
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Sulci are groove-like regions lying in the depth of the cerebral cortex between gyri, which together, form a folded appearance in human and mammalian brains. Sulci play an important role in the structural analysis of the brain, morphometry (i.e., the measurement of brain structures), anatomical labeling and landmark-based registration. 1 Moreover, sulcal morphological changes are related to cortical thickness, whose measurement may provide useful information for studying variety of psychiatric disorders. Manually extracting sulci requires complying with complex protocols, which make the procedure both tedious and error prone. 2 In this paper, we describe an automatic procedure, employing geometric active contours, which extract the sulci. Sulcal boundaries are obtained by minimizing a certain energy functional whose minimum is attained at the boundary of the given sulci.
引用
收藏
页数:14
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