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
Mahsa Torkaman, Liangjia Zhu, Peter Karasev, and Allen Tannenbaum, "Sulci segmentation using geometric active contours," Proc. SPIE 10133, Medical Imaging 2017: Image Processing, 101330I (Presented at SPIE Medical Imaging: February 13, 2017; Published: 24 February 2017); https://doi.org/10.1117/12.2249716.
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