Patient-specific coronary blood supply territories for quantitative perfusion analysis.

IF 1.3 Q4 ENGINEERING, BIOMEDICAL
Constantine Zakkaroff, John D Biglands, John P Greenwood, Sven Plein, Roger D Boyle, Aleksandra Radjenovic, Derek R Magee
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引用次数: 4

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.

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Abstract Image

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定量灌注分析患者特定冠状动脉血供区域。
心肌灌注成像与定量灌注分析相结合,为鉴别冠状动脉狭窄引起的缺血性心脏病提供了重要的诊断工具。冠状动脉解剖和心肌灌注不足区域的准确定位对诊断和治疗具有重要意义。然而,在报告灌注图像时缺乏实际的冠状动脉解剖,缺血区域根据人群衍生的17段(美国心脏协会)AHA冠状动脉血液供应模型被分配到冠状动脉区域。这项工作提出了一种融合二维磁共振(MR)心肌灌注图像和三维磁共振血管造影数据的解决方案,旨在提高缺血性心脏病的检测。这项工作的关键贡献是一种新的方法,用于介导的灌注和血管造影数据的时空注册,以及一种新的方法,用于计算患者特定的冠状动脉供应区域。该配准方法使用跨越整个心脏周期的4D心脏MR影像序列,以克服非刚性切片-容量灌注-血管造影配准的局限性。这是通过分离出可变形的配准问题,并通过电影系列的相对相配准来解决它来实现的。在定量灌注分析中使用患者特异性血液供应区域(而不是基于人群的冠状动脉血液供应模型)有可能提高灌注分析的准确性。针对AHA模型的患者特异性区域的定量灌注分析诊断准确性评估证明了介导的时空登记在缺血性心脏病诊断中的价值。
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来源期刊
CiteScore
2.80
自引率
6.20%
发文量
102
期刊介绍: Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization is an international journal whose main goals are to promote solutions of excellence for both imaging and visualization of biomedical data, and establish links among researchers, clinicians, the medical technology sector and end-users. The journal provides a comprehensive forum for discussion of the current state-of-the-art in the scientific fields related to imaging and visualization, including, but not limited to: Applications of Imaging and Visualization Computational Bio- imaging and Visualization Computer Aided Diagnosis, Surgery, Therapy and Treatment Data Processing and Analysis Devices for Imaging and Visualization Grid and High Performance Computing for Imaging and Visualization Human Perception in Imaging and Visualization Image Processing and Analysis Image-based Geometric Modelling Imaging and Visualization in Biomechanics Imaging and Visualization in Biomedical Engineering Medical Clinics Medical Imaging and Visualization Multi-modal Imaging and Visualization Multiscale Imaging and Visualization Scientific Visualization Software Development for Imaging and Visualization Telemedicine Systems and Applications Virtual Reality Visual Data Mining and Knowledge Discovery.
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