Capturing large shape variations of liver using population-based statistical shape models

Purpose Statistical shape models (SSMs) represent morphological variations of a specific object. When there are large shape variations, the shape parameters constitute a large space that may include incorrect parameters. The human liver is a non-rigid organ subject to large deformations due to exter...

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Bibliographic Details
Published in:	International journal for computer assisted radiology and surgery Vol. 9; no. 6; pp. 967 - 977
Main Authors:	Foruzan, Amir H., Chen, Yen-Wei, Hori, Masatoshi, Sato, Yoshinobu, Tomiyama, Noriyuki
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2014
Subjects:	Algorithms Computer Imaging Computer Science Health Informatics Humans Imaging Imaging, Three-Dimensional Liver - diagnostic imaging Liver Neoplasms - diagnostic imaging Medicine Medicine & Public Health Models, Statistical Original Article Pattern Recognition and Graphics Radiology Reproducibility of Results Sensitivity and Specificity Surgery Tomography, X-Ray Computed - methods Vision Statistical shape model Population-based shape model Shape representation Medical image analysis
ISSN:	1861-6410, 1861-6429, 1861-6429
Online Access:	Get full text
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