Patient-specific coronary blood supply territories for quantitative perfusion analysis

Constantine Zakkaroff*, John D. Biglands, John P. Greenwood, Sven Plein, Roger D. Boyle, Aleksandra Radjenovic, Derek R. Magee

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (SciVal)

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.

Original languageEnglish
Pages (from-to)137-154
Number of pages18
JournalComputer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization
Volume6
Issue number2
DOIs
Publication statusPublished - 04 Mar 2018

Keywords

  • image registration
  • patient-specific coronary supply territories
  • Quantitative myocardial perfusion analysis

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