Please use this identifier to cite or link to this item: https://doi.org/10.1007/11569541_46
Title: Segmentation of 3D CT volume images using a single 2D atlas
Authors: Ding, F.
Leow, W.K. 
Wang, S.-C.
Issue Date: 2005
Source: Ding, F.,Leow, W.K.,Wang, S.-C. (2005). Segmentation of 3D CT volume images using a single 2D atlas. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3765 LNCS : 459-468. ScholarBank@NUS Repository. https://doi.org/10.1007/11569541_46
Abstract: Segmentation of medical images is an important first step in the analysis of medical images. A lot of research has been performed on the segmentation of complex CT/MR images using the atlas-based approach. Most existing methods use 3D atlases which are more complex and difficult to control than 2D atlases. They have been applied mostly for the segmentation of brain images. This paper presents a method that can segment multiple slices of an abdominal CT volume using a single 2D atlas. Segmentation of human body images is considerably more difficult and challenging than brain image segmentation. Test results show that our method can handle large variations in shape and intensity between the atlas and the target CT images. © Springer-Verlag Berlin Heidelberg 2005.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/40718
ISBN: 3540294112
ISSN: 03029743
DOI: 10.1007/11569541_46
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