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http://dx.doi.org/10.9717/kmms.2014.17.5.566

Semi-automated Approach to Hippocampus Segmentation Using Snake from Brain MRI  

Al Shidaifat, Ala'a Ddin (Department of Computer Engineering, UHRC, Inje University)
Al-Shdefat, Ramadan (Dept. of Pharmaceutics, Salman Bin Abdulaziz University)
Choi, Heung-Kook (Department of Computer Engineering, UHRC, Inje University)
Publication Information
Journal of Korea Multimedia Society / v.17, no.5, 2014 , pp. 566-572 More about this Journal
Abstract
The hippocampus has been known as one of the most important structure related to many neurological disorders, such as Alzheimer's disease. This paper presents the snake model to segment hippocampus from brain MRI. The snake model or active contour model is widely used in medical image processing fields, especially image segmentation they look onto nearby edge, localizing them accurately. We applied a snake model on brain MRI. Then we compared our results with an active shape approach. The results show that hippocampus was successfully segmented by the snake model.
Keywords
Hippocampus; Snake model; Segmentation; MRI; Active shape approach;
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