Detection of Focal Cortical Dysplasia lesions in MR images
Pages 81 - 84
Abstract
Focal cortical dysplasia (FCD) is the most common factor leading to intractable epilepsy. It is helpful for doctors to automatically detect the FCD lesion before the operation. In this study, two methods to detect and locate the lesion are proposed. The first method is based on the symmetrical characteristics of the brain image, and can approximately detect abnormal areas caused by FCD in Magnetic Resonance (MR) images. The second method involves detecting local highlighted areas in MR images based on the expectation-maximization (EM) algorithm. The two methods were applied to 15 specific MR images of 9 epileptic patients. The recognition accuracy of the symmetrical feature algorithm and EM algorithm was 80 % (12/15) and 100% (15/15), respectively, and the detection accuracy of the combination of two algorithms is 80%. The symmetrical feature algorithm can be applied to any of the axial or coronal MR images of the modality, and the EM algorithm is suitable for detecting the local hyperintense of the MR image. The two methods were able to detect lesion areas in MR images and achieve desirable results.
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Index Terms
- Detection of Focal Cortical Dysplasia lesions in MR images
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Published In
January 2020
126 pages
ISBN:9781450376839
DOI:10.1145/3378904
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In-Cooperation
- Natl University of Singapore: National University of Singapore
- Southwest Jiaotong University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 09 April 2020
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- Research-article
- Research
- Refereed limited
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- NSAF
- The National Key R&D Program of China
Conference
BDET 2020
BDET 2020: 2020 2nd International Conference on Big Data Engineering and Technology
January 3 - 5, 2020
Singapore, China
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