![](/images/graphics-bg.png)
Automatic Extraction of the Centerline of Corpus Callosum from Segmented Mid-Sagittal MR Images
Joint Authors
Gao, Wenpeng
Chen, Xiaoguang
Zhu, Minwei
Fu, Yili
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-04
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The centerline, as a simple and compact representation of object shape, has been used to analyze variations of the human callosal shape.
However, automatic extraction of the callosal centerline remains a sophisticated problem.
In this paper, we propose a method of automatic extraction of the callosal centerline from segmented mid-sagittal magnetic resonance (MR) images.
A model-based point matching method is introduced to localize the anterior and posterior endpoints of the centerline.
The model of the endpoint is constructed with a statistical descriptor of the shape context.
Active contour modeling is adopted to drive the curve with the fixed endpoints to approximate the centerline using the gradient of the distance map of the segmented corpus callosum.
Experiments with 80 segmented mid-sagittal MR images were performed.
The proposed method is compared with a skeletonization method and an interactive method in terms of recovery error and reproducibility.
Results indicate that the proposed method outperforms skeletonization and is comparable with and sometimes better than the interactive method.
American Psychological Association (APA)
Gao, Wenpeng& Chen, Xiaoguang& Fu, Yili& Zhu, Minwei. 2018. Automatic Extraction of the Centerline of Corpus Callosum from Segmented Mid-Sagittal MR Images. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1131969
Modern Language Association (MLA)
Gao, Wenpeng…[et al.]. Automatic Extraction of the Centerline of Corpus Callosum from Segmented Mid-Sagittal MR Images. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1131969
American Medical Association (AMA)
Gao, Wenpeng& Chen, Xiaoguang& Fu, Yili& Zhu, Minwei. Automatic Extraction of the Centerline of Corpus Callosum from Segmented Mid-Sagittal MR Images. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1131969
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131969