Literature DB >> 21376656

Pseudo ground truth based nonrigid registration of myocardial perfusion MRI.

Chao Li1, Ying Sun, Ping Chai.   

Abstract

This paper presents a novel nonrigid registration method for myocardial perfusion magnetic resonance (MR) images. To overcome the rapid intensity change due to contrast enhancement, we propose to register the observed sequence to a pseudo ground truth, which is a motion/noise free sequence that is estimated from the observed one, and having almost identical intensity variations as the original sequence. The pseudo ground truth and the elastic deformation fields for the observed sequence are obtained by minimizing an energy functional integrating both the registration error and the spatiotemporal constraints on the pseudo ground truth in an expectation-maximization framework. We have tested the proposed nonrigid registration method on 20 cardiac perfusion MR scans. The proposed method successfully compensated the elastic deformation of the heart in most scans according to visual validation. For quantitative validation, we propagated manually drawn myocardial contours in one frame to other frames according to the deformation fields obtained by applying different registration methods. The root mean square distance between the propagated contour and the gold standard is 2.11mm if only global translation is compensated, and 1.87mm after nonrigid registration, as compared with 2.80mm for serial demons registration and 2.77mm for a free-form deformation approach using normalized mutual information as the similarity measure, both of which adversely increased the error due to misregistration.
Copyright © 2011 Elsevier B.V. All rights reserved.

Mesh:

Year:  2011        PMID: 21376656     DOI: 10.1016/j.media.2011.02.001

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  4 in total

1.  Automatic motion compensation of free breathing acquired myocardial perfusion data by using independent component analysis.

Authors:  Gert Wollny; Peter Kellman; Andrés Santos; María J Ledesma-Carbayo
Journal:  Med Image Anal       Date:  2012-02-23       Impact factor: 8.545

2.  Robust universal nonrigid motion correction framework for first-pass cardiac MR perfusion imaging.

Authors:  Mitchel Benovoy; Matthew Jacobs; Farida Cheriet; Nagib Dahdah; Andrew E Arai; Li-Yueh Hsu
Journal:  J Magn Reson Imaging       Date:  2017-02-15       Impact factor: 4.813

3.  Free breathing myocardial perfusion data sets for performance analysis of motion compensation algorithms.

Authors:  Gert Wollny; Peter Kellman
Journal:  Gigascience       Date:  2014-11-11       Impact factor: 6.524

Review 4.  An Overview on Image Registration Techniques for Cardiac Diagnosis and Treatment.

Authors:  Azira Khalil; Siew-Cheok Ng; Yih Miin Liew; Khin Wee Lai
Journal:  Cardiol Res Pract       Date:  2018-08-08       Impact factor: 1.866

  4 in total

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