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Novel Image Processing Technique for Detection of Brain Inflammatory Diseases Using MRI Images

文献类型： 会议论文

第一作者： Mohammad Marwan El Sidani

作者： Mohammad Marwan El Sidani 1 ; Wassim Kehdi 1 ; Charles Yaacoub 2 ; Mirna Jreije 1 ; Roy Abi Zeid Daou 1 ; Rita Younes 1 ;

作者机构： 1.Faculty of Engineering, Furn EL Chebak, Université La Sagesse, Beirut, Lebanon

2.LITL, Université Catholique de Lille, Lille, France

关键词： Pathology;Image segmentation;Machine learning algorithms;Magnetic resonance imaging;Approximation algorithms;Classification algorithms;Lesions

会议名称： International Conference on Advances in Biomedical Engineering

主办单位：

页码： 50-53

摘要： In recent years, image processing has played a vital role in medical applications, particularly in the field of Magnetic Resonance Imaging (MRI) for monitoring and diagnosing various pathologies. One such pathology is related to brain Inflammatory Diseases (ID), which requires medical imaging in conjunction with clinical tests for accurate identification. However, limited research has been conducted on the detection and classification of Inflammation-Related Lesions (IRL) in the brain. This paper presents an algorithm designed and implemented to address this gap, utilizing MRI output's T2 and FLAIR sequences. The algorithm is implemented using Matlab, and its effectiveness was evaluated on a dataset of 25 patients. The results demonstrate a high detection rate of approximately 85% and an accuracy of the system at around 90%. Moreover, the response time of the proposed algorithm is within few milliseconds.

分类号： r318-53

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