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Proceedings Paper

Research on a processing method for standardizing brain MR image
Author(s): Shanping Mao; Jun Yang; Jinwen Tian; Fang Wei; Chunying Liu; Yan Liu
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Paper Abstract

To generate a digital brain atlas, we need to segment and extract brain structures from images of an individual brain. However, many of the brain structures can hardly be accurately segmented if only according to the content of them. The goal of this thesis is to develop an experiment platform, which focuses on the basic methods about labeling, extraction, segmentation and visualization brain structures in MR images by leveraging the anatomic information and topological structure in standard atlas. In this paper, we propose the concept of standardization of brain MR image and introduce a king of standardization method based on geometry correction technique. To work out the method, first we preprocessed the raw MR image, second automatically searched the control points which were used for establishing the correction equation, and last we completed the standardization of the MR image. The result of the experiments demonstrated the practicability efficiency of this kind of method, which could provide theoretical foundation and experimental means for the diagnosis of brain disease.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74972M (30 October 2009); doi: 10.1117/12.833936
Show Author Affiliations
Shanping Mao, Renmin Hospital of Wuhan Univ. (China)
Jun Yang, Huazhong Univ. of Science and Technology (China)
Wuhan Institute of Technology (China)
Jinwen Tian, Huazhong Univ. of Science and Technology (China)
Fang Wei, Wuhan Institute of Technology (China)
Chunying Liu, Renmin Hospital of Wuhan Univ. (China)
Yan Liu, Renmin Hospital of Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 7497:
MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Faxiong Zhang; Faxiong Zhang, Editor(s)

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