DocumentCode :
708150
Title :
Comparison of active contour and fast marching methods of hippocampus segmentation
Author :
Al Zaben, Naim ; Madusanka, Nuwan ; Al Shdefat, AlaaDdin ; Heung-Kook Choi
Author_Institution :
Dept. of Health Sci. & Technol., Inje Univ., Gimhae, South Korea
fYear :
2015
fDate :
7-9 April 2015
Firstpage :
106
Lastpage :
110
Abstract :
The hippocampus is a part of the limbic system and plays an important role in long-term memory and spatial navigation. As part of hippocampal imaging studies, the region of the hippocampus is usually segmented manually, which is a time-consuming process. Here, we describe a comparison of the active contour model (ACM) and the fast marching method (FMM) using magnetic resonance (MR) images of the human brain. We determine optimized input parameters for both models to segment the hippocampus using T1-weighted MR images, and we found that the ACM provided superior performance compared with the FMM without significant additional computational expense.
Keywords :
biomedical MRI; image segmentation; medical image processing; ACM; FMM; MR image; T1-weighted MR image; active contour method; fast marching method; hippocampal imaging studies; hippocampus segmentation; limbic system; magnetic resonance image; Dementia; Hippocampus; Image edge detection; Image segmentation; Magnetic resonance imaging; Active Contour; Fast Marching; Hippocampus; Segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Systems (ICICS), 2015 6th International Conference on
Conference_Location :
Amman
Type :
conf
DOI :
10.1109/IACS.2015.7103211
Filename :
7103211
Link To Document :
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