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.
Keywords