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Automated Segmentation of Cerebellum Using Brain Mask and Partial Volume Estimation Map
Joint Authors
Lee, Jong-Min
Lee, Dong-Kyun
Yoon, Uicheul
Kwak, Kichang
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Lee, Dong-Kyun& Yoon, Uicheul& Kwak, Kichang& Lee, Jong-Min. 2015. Automated Segmentation of Cerebellum Using Brain Mask and Partial Volume Estimation Map. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057819
Modern Language Association (MLA)
Lee, Dong-Kyun…[et al.]. Automated Segmentation of Cerebellum Using Brain Mask and Partial Volume Estimation Map. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1057819
American Medical Association (AMA)
Lee, Dong-Kyun& Yoon, Uicheul& Kwak, Kichang& Lee, Jong-Min. Automated Segmentation of Cerebellum Using Brain Mask and Partial Volume Estimation Map. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057819
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057819