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      A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging

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          Abstract

          Cardiovascular magnetic resonance (CMR) has become a key imaging modality in clinical cardiology practice due to its unique capabilities for non-invasive imaging of the cardiac chambers and great vessels. A wide range of CMR sequences have been developed to assess various aspects of cardiac structure and function, and significant advances have also been made in terms of imaging quality and acquisition times. A lot of research has been dedicated to the development of global and regional quantitative CMR indices that help the distinction between health and pathology. The goal of this review paper is to discuss the structural and functional CMR indices that have been proposed thus far for clinical assessment of the cardiac chambers. We include indices definitions, the requirements for the calculations, exemplar applications in cardiovascular diseases, and the corresponding normal ranges. Furthermore, we review the most recent state-of-the art techniques for the automatic segmentation of the cardiac boundaries, which are necessary for the calculation of the CMR indices. Finally, we provide a detailed discussion of the existing literature and of the future challenges that need to be addressed to enable a more robust and comprehensive assessment of the cardiac chambers in clinical practice.

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                Author and article information

                Contributors
                +44 (0) 114 222 0153 , a.frangi@sheffield.ac.uk
                Journal
                MAGMA
                MAGMA
                Magma (New York, N.y.)
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0968-5243
                1352-8661
                25 January 2016
                25 January 2016
                2016
                : 29
                : 155-195
                Affiliations
                [ ]Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, S1 3JD UK
                [ ]Universitat Pompeu Fabra, 08002 Barcelona, Spain
                [ ]Department of Computer Science and Digital Technologies, Northumbria University, Newcastle upon Tyne, NE1 8ST UK
                [ ]Centre Lead for Advanced Cardiovascular Imaging, William Harvey Research Institute, Queen Mary University of London, London, EC1M 6BQ UK
                Author information
                http://orcid.org/0000-0002-2675-528X
                Article
                521
                10.1007/s10334-015-0521-4
                4830888
                26811173
                2b2e4a64-2742-469f-8d55-308569c9279e
                © The Author(s) 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 9 July 2015
                : 1 December 2015
                : 17 December 2015
                Categories
                Review Article
                Custom metadata
                © ESMRMB 2016

                Radiology & Imaging
                cardiac segmentation,mri,clinical assessment
                Radiology & Imaging
                cardiac segmentation, mri, clinical assessment

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