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Visual Analysis of Cardiac 4D MRI Blood Flow Using Line Predicates

机译:使用行谓词对心脏4D MRI血流进行可视化分析

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摘要

Four-dimensional MRI is an in vivo flow imaging modality that is expected to significantly enhance the understanding of cardiovascular diseases. Among other fields, 4D MRI provides valuable data for the research of cardiac blood flow and with that the development, diagnosis, and treatment of various cardiac pathologies. However, to gain insights from larger research studies or to apply 4D MRI in the clinical routine later on, analysis techniques become necessary that allow to robustly identify important flow characteristics without demanding too much time and expert knowledge. Heart muscle contractions and the particular complexity of the flow in the heart imply further challenges when analyzing cardiac blood flow. Working toward the goal of simplifying the analysis of 4D MRI heart data, we present a visual analysis method using line predicates. With line predicates precalculated integral lines are sorted into bundles with similar flow properties, such as velocity, vorticity, or flow paths. The user can combine the line predicates flexibly and by that carve out interesting flow features helping to gain overview. We applied our analysis technique to 4D MRI data of healthy and pathological hearts and present several flow aspects that could not be shown with current methods. Three 4D MRI experts gave feedback and confirmed the additional benefit of our method for their understanding of cardiac blood flow.
机译:二维MRI是一种体内流成像方式,有望显着增强对心血管疾病的了解。在其他领域中,4D MRI为研究心脏血流以及开发,诊断和治疗各种心脏疾病提供了有价值的数据。然而,为了从更大的研究中获得见识或将4D MRI应用于以后的临床常规中,分析技术变得必不可少,这些技术可以可靠地识别重要的流量特征,而无需太多的时间和专业知识。心肌收缩和心脏中血流的特殊复杂性意味着在分析心脏血流时会面临进一步的挑战。为了简化4D MRI心脏数据的分析,我们提出了一种使用行谓词的可视化分析方法。使用线谓词,将预先计算的积分线分类为具有相似流动特性(例如速度,涡度或流动路径)的束。用户可以灵活地组合行谓词,从而切出有趣的流程功能,以帮助获得概述。我们将分析技术应用于健康和病理性心脏的4D MRI数据,并提出了当前方法无法显示的几个流程方面。三名4D MRI专家给出了反馈,并确认了我们的方法对了解心脏血流的额外好处。

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