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Youngjun Kim, Kang-Il Kim, Jin hyeok Choi, Kunwoo Lee, “Novel methods for 3D postoperative analysis of total knee arthroplasty using 2D-3D image registration” clinical Biomechanics, Volume 26, Issue 4, May-2011, Pages384-391.

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Survey of Medical Image Registration


Journal of Biomedical Engineering and Technology. 2013, Vol. 1 No. 2, 8-25
DOI: 10.12691/jbet-1-2-1
Copyright © 2013 Science and Education Publishing

Cite this paper:
V.R.S Mani, Dr. S. Arivazhagan. Survey of Medical Image Registration. Journal of Biomedical Engineering and Technology. 2013; 1(2):8-25. doi: 10.12691/jbet-1-2-1.

Correspondence to: V.R.S Mani, . Email:

Abstract

Computerized Image Registration approaches can offer automatic and accurate image alignments without extensive user involvement and provide tools for visualizing combined images. The aim of this survey is to present a review of publications related to Medical Image Registration. This paper paints a comprehensive picture of image registration methods and their applications. This paper is an introduction for those new to the field, an overview for those working in the field and a reference for those searching for literature on a specific application. Methods are classified according to the different aspects of Medical Image Registration.

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