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Medical image diagnostics based on computer-aided flow analysis using magnetic resonance images

机译:基于计算机辅助流动分析的医学图像诊断使用磁共振图像

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摘要

Most of the cardiac abnormalities have an implication on hemodynamics and affect cardiovascular health. Diagnostic imaging modalities such as computed tomography and magnetic resonance imaging provide excellent anatomical information on myocardial structures, but fail to show the cardiac flow and detect heart defects in vivo condition. The computerized technique for fluid motion estimation by pixel intensity tracking based on magnetic resonance signals represents a promising technique for functional assessment of cardiovascular disease, as it can provide functional information of the heart in addition to analysis of its anatomy. Cardiovascular flow characteristics can be measured in both normal controls and patients with cardiac abnormalities such as atrial septal defect, thus, enabling identification of the underlying causes of these flow phenomena. This review paper focuses on an overview of a flow analysis scheme based on computer-aided evaluation of magnetic resonance intensity images, in comparison with other commonly used medical imaging modalities. Details of the proposed technique are provided with validations being conducted at selected abnormal cardiovascular patients. It is expected that this new technique can potentially extend applications for characterizing cardiovascular defects and their hemodynamic behavior.
机译:大多数心脏异常都会影响血流动力学并影响心血管健康。诊断成像模式(例如计算机断层扫描和磁共振成像)可提供有关心肌结构的出色解剖信息,但无法显示心脏流量并无法在体内检测出心脏缺陷。通过基于磁共振信号的像素强度跟踪进行流体运动估计的计算机技术代表了一种有前景的技术,可用于心血管疾病的功能评估,因为它不仅可以提供心脏的功能信息,而且可以分析其解剖结构。可以在正常对照和患有心脏异常(例如房间隔缺损)的患者中测量心血管血流特征,从而能够确定这些血流现象的根本原因。与其他常用的医学成像方法相比,本文的重点是对基于磁共振图像强度的计算机辅助评估的流量分析方案的概述。提供了所建议技术的详细信息,并对选定的异常心血管患者进行了验证。预期这项新技术可能会扩展表征心血管缺陷及其血液动力学行为的应用。

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