Comparative study of multimodal intra-subject image registration methods on a publicly available database

Mohammad Saleh Miri; Ali Ghayoor; Hans J. Johnson; Milan Sonka

doi:10.1117/12.2214209

29 March 2016 Comparative study of multimodal intra-subject image registration methods on a publicly available database

Mohammad Saleh Miri, Ali Ghayoor, Hans J. Johnson, Milan Sonka

Proceedings Volume 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging; 97881Z (2016) https://doi.org/10.1117/12.2214209
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

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.

Citation Download Citation

Mohammad Saleh Miri, Ali Ghayoor, Hans J. Johnson, and Milan Sonka "Comparative study of multimodal intra-subject image registration methods on a publicly available database", Proc. SPIE 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, 97881Z (29 March 2016); https://doi.org/10.1117/12.2214209

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