Chi-Hsuan Tsou1, Tun Jao1,2, Jiann-Shing Jeng3, Jyh-Horng Chen, 1,4
1Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan; 2Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan; 3Stroke Center and Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan; 4Interdisciplinary MRI/MRS Lab, Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan
Brain magnetic resonance images (MRI) is crucial in modern medical diagnoses. However, there is usually a time delay between images acquisition and interpretation of radiologists and/or doctors who prescribe the images, which may contribute to clinical exacerbation of the patients. In this preliminary study, we use symmetry index to discriminate between normal brain structures and intracranial pathologies, and to provide a foundation for images auto-alarm system in the future. Experimental results of the proposed algorithm on 24 MR images (11 pathological, 13 healthy), show that the symmetric index can help differentiate the normal and abnormal brain structures with promising performance.