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