Title: Epilepsy detection and classification based on the contour maps of brain MR images

Authors: H.S. VinayKumar

Addresses: Department of Electronics and Communication Engineering, PES College of Engineering, Mandya-571401, Karnataka, India

Abstract: A new method of epilepsy detection and classification of the degree of affliction is presented. The proposed method is based on the information generated by the filled contour maps of the brain MRI. The result is independent of the size and orientation of the target image. Distribution of multiple intensity levels in an MR image is generated by the proposed contour map segmentation technique. Disease afflicted regions are segmented using this technique. The epilepsy diagnosis is carried out by classifying MR images as healthy and diseased. The diseased ones are further classified into three sub-classes of affliction, namely, mild, medium and severe. The classification is based on the area of the top level segment relative to the total area of the non-skull region. In the proposed method, the classification error is found to be between 5% to 10%.

Keywords: contour map segmentation; skull-stripping; top level segment; area of non-skull region; filled contour map; contour level list.

DOI: 10.1504/IJMEI.2025.143282

International Journal of Medical Engineering and Informatics, 2025 Vol.17 No.1, pp.63 - 73

Received: 27 Aug 2021
Accepted: 05 Mar 2022
Published online: 12 Dec 2024 *

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