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Automated Segmentation of Cerebellum Using Brain Mask and Partial Volume Estimation Map

Title
Automated Segmentation of Cerebellum Using Brain Mask and Partial Volume Estimation Map
Author
이종민
Keywords
PROBABILISTIC ATLAS; MULTIPLE-SCLEROSIS; MR-IMAGES; METAANALYSIS; VALIDATION; EXTRACTION; DISEASE; MODEL
Issue Date
2015-05
Publisher
HINDAWI PUBLISHING CORPORATION
Citation
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, v. Article ID 167489, Page. 1-10
Abstract
While segmentation of the cerebellum is an indispensable step in many studies, its contrast is not clear because of the adjacent cerebrospinal fluid, meninges, and cerebra peduncle. Thus, various cerebellar segmentation methods, such as a deformable model or a template-based algorithm might exhibit incorrect segmentation of the venous sinuses and the cerebellar peduncle. In this study, we propose a fully automated procedure combining cerebellar tissue classification, a template-based approach, and morphological operations sequentially. The cerebellar region was defined approximately by removing the cerebral region from the brain mask. Then, the noncerebellar region was trimmed using a morphological operator and the brain-stem atlas was aligned to the individual brain to define the brain-stem area. The proposed method was validated with the well-known FreeSurfer and ITK-SNAP packages using the dice similarity index and recall and precision scores. As a result, the proposed method was significantly better than the other methods for the dice similarity index (0.93, FreeSurfer: 0.92, ITK-SNAP: 0.87) and precision (0.95, FreeSurfer: 0.90, ITK-SNAP: 0.93). Therefore, it could be said that the proposed method yielded a robust and accurate segmentation result. Moreover, additional postprocessing with the brain-stem atlas could improve its result.
URI
https://www.hindawi.com/journals/cmmm/2015/167489/http://hdl.handle.net/20.500.11754/24986
ISSN
1748-670X; 1748-6718
DOI
10.1155/2015/167489
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRICAL AND BIOMEDICAL ENGINEERING(전기·생체공학부) > Articles
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