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Proceedings Paper

Comparative study of multimodal intra-subject image registration methods on a publicly available database
Author(s): Mohammad Saleh Miri; Ali Ghayoor; Hans J. Johnson; Milan Sonka
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Paper Abstract

This work reports on a comparative study between five manual and automated methods for intra-subject pair-wise registration of images from different modalities. The study includes a variety of inter-modal image registrations (MR-CT, PET-CT, PET-MR) utilizing different methods including two manual point-based techniques using rigid and similarity transformations, one automated point-based approach based on Iterative Closest Point (ICP) algorithm, and two automated intensity-based methods using mutual information (MI) and normalized mutual information (NMI). These techniques were employed for inter-modal registration of brain images of 9 subjects from a publicly available dataset, and the results were evaluated qualitatively via checkerboard images and quantitatively using root mean square error and MI criteria. In addition, for each inter-modal registration, a paired t-test was performed on the quantitative results in order to find any significant difference between the results of the studied registration techniques.

Paper Details

Date Published: 29 March 2016
PDF: 7 pages
Proc. SPIE 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, 97881Z (29 March 2016); doi: 10.1117/12.2214209
Show Author Affiliations
Mohammad Saleh Miri, Iowa Institute for Biomedical Imaging, The Univ. of Iowa (United States)
Ali Ghayoor, Iowa Institute for Biomedical Imaging, The Univ. of Iowa (United States)
Hans J. Johnson, Iowa Institute for Biomedical Imaging, The Univ. of Iowa (United States)
Milan Sonka, Iowa Institute for Biomedical Imaging, The Univ. of Iowa (United States)


Published in SPIE Proceedings Vol. 9788:
Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging
Barjor Gimi; Andrzej Krol, Editor(s)

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