Zakkaroff, C orcid.org/0000-0003-3668-8794, Biglands, JD orcid.org/0000-0002-1161-5022, Greenwood, JP orcid.org/0000-0002-2861-0914 et al. (4 more authors) (2018) Patient-specific coronary blood supply territories for quantitative perfusion analysis. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 6 (2). pp. 137-154. ISSN 2168-1163
Abstract
Myocardial perfusion imaging, coupled with quantitative perfusion analysis, provides an important diagnostic tool for the identification of ischaemic heart disease caused by coronary stenoses. The accurate mapping between coronary anatomy and under-perfused areas of the myocardium is important for diagnosis and treatment. However, in the absence of the actual coronary anatomy during the reporting of perfusion images, areas of ischaemia are allocated to a coronary territory based on a population-derived 17-segment (American Heart Association) AHA model of coronary blood supply. This work presents a solution for the fusion of 2D Magnetic Resonance (MR) myocardial perfusion images and 3D MR angiography data with the aim to improve the detection of ischaemic heart disease. The key contribution of this work is a novel method for the mediated spatiotemporal registration of perfusion and angiography data and a novel method for the calculation of patient-specific coronary supply territories. The registration method uses 4D cardiac MR cine series spanning the complete cardiac cycle in order to overcome the under-constrained nature of non-rigid slice-to-volume perfusion-to-angiography registration. This is achieved by separating out the deformable registration problem and solving it through phase-to-phase registration of the cine series. The use of patient-specific blood supply territories in quantitative perfusion analysis (instead of the population-based model of coronary blood supply) has the potential of increasing the accuracy of perfusion analysis. Quantitative perfusion analysis diagnostic accuracy evaluation with patient-specific territories against the AHA model demonstrates the value of the mediated spatiotemporal registration in the context of ischaemic heart disease diagnosis.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Quantitative myocardial perfusion analysis; patient-specific coronary supply territories; image registration |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Genetics, Health and Therapeutics (LIGHT) > Academic Unit of Medical Physics (Leeds) |
Funding Information: | Funder Grant number Wellcome Trust 088908/Z/09/Z Wellcome Trust 088908/Z/09/Z British Heart Foundation 29062 British Heart Foundation 29062 Leeds Teaching Hospitals Charitable Foundation 3T92/1205 British Heart Foundation RG/16/1/32092 British Heart Foundation CH/16/2/32089 |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 Jul 2016 11:47 |
Last Modified: | 10 May 2018 20:18 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/21681163.2016.1192003 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:102698 |
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