Similarity metric in medical image registration

DOI

10.2991/iccsee.2013.175How to use a DOI?

Keywords

registration, similarity metric, mutual information, correlation ratio, least squares

Abstract

Registration algorithm via various similarity measures is presented in this paper. Image registration is a process of align images so that they can get the same structure in the same spatial locations. During the registration, similarity metric is very important to measure the result as a standard. Different similarity metric has its own advantages and application field. Mutual information, correlation ratio and least squares are mentioned in this paper. Problematic issues of these three methods and outlook for the future research are discussed too. The major goal of the paper is to provide a comprehensive comparison among the widely used similarity metric.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jing Jin
AU  - Yunle Yang
PY  - 2013/03
DA  - 2013/03
TI  - Similarity metric in medical image registration
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 688
EP  - 691
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.175
DO  - 10.2991/iccsee.2013.175
ID  - Jin2013/03
ER  -