Zheng, Guoyan; Li, Zhi-Cheng; Gu, Jia (2012). Evaluation of 3D correspondence methods for building point distribution models of the kidney. In: 2012 5th International Conference on Biomedical Engineering and Informatics (BMEI) (pp. 637-640). IEEE 10.1109/BMEI.2012.6512977
Full text not available from this repository.Statistical shape models (SSM) in general and point distribution models (PDM) in particular, are used for a variety of medical applications. A prerequisite condition to build a PDM is to establish the correspondences between landmarks across sample models in a given training population. Previously both image registration based correspondence building algorithms as well as surface parameterization based correspondence establishment algorithms have been proposed. In this paper, we present comparative studies on 25 kidney samples of two state-of-the-art correspondence methods. More specifically, we compare a diffeomorphic demons image registration algorithm based correspondence method to a surface parameterization based method where the correspondences are optimized with Minimal Description Length (MDL) principle. The results suggest that the studied image registration based correspondence method has a superior performance over the studied surface parameterization based method.
Item Type: |
Conference or Workshop Item (Paper) |
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Division/Institute: |
04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB [discontinued] |
UniBE Contributor: |
Zheng, Guoyan |
Subjects: |
500 Science > 570 Life sciences; biology 600 Technology > 610 Medicine & health |
ISBN: |
978-1-4673-1183-0 |
Publisher: |
IEEE |
Language: |
English |
Submitter: |
Guoyan Zheng |
Date Deposited: |
26 Jul 2017 14:11 |
Last Modified: |
05 Dec 2022 14:56 |
Publisher DOI: |
10.1109/BMEI.2012.6512977 |
URI: |
https://boris.unibe.ch/id/eprint/82201 |