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Patient-specific coronary blood supply territories for quantitative perfusion analysis.
Zakkaroff, Constantine; Biglands, John D; Greenwood, John P; Plein, Sven; Boyle, Roger D; Radjenovic, Aleksandra; Magee, Derek R.
Afiliación
  • Zakkaroff C; School of Computing, The University of Leeds, Leeds, UK.
  • Biglands JD; Division of Medical Physics and Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
  • Greenwood JP; Division of Medical Physics and Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
  • Plein S; Multidisciplinary Cardiovascular Research Centre and Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
  • Boyle RD; Division of Medical Physics and Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
  • Radjenovic A; Multidisciplinary Cardiovascular Research Centre and Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
  • Magee DR; Institute of Biological, Environmental and Rural Sciences, University of Aberystwyth, Aberystwyth, UK.
Article en En | MEDLINE | ID: mdl-29392098
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Comput Methods Biomech Biomed Eng Imaging Vis Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Comput Methods Biomech Biomed Eng Imaging Vis Año: 2018 Tipo del documento: Article
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