2D Plot Visualization of Aortic Vortex Flow in Cardiac 4D PC-MRI Data
2D Plot Visualization of Aortic Vortex Flow in Cardiac 4D PC-MRI Data
复制标题
心脏 4D PC-MRI 数据中主动脉涡流的 2D 绘图可视化
DOI：
10.1007/978-3-662-46224-9_45
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
B. Preim
中科院分区：
文献类型：
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作者：
B. Köhler;M. Meuschke;U. Preim;K. Fischbach;M. Gutberlet;B. Preim
主动脉涡流是多种心血管疾病的有力指标。医学研究人员对二叶式主动脉瓣等病理与心动周期特定时空位置发生此类血流模式的相关性非常感兴趣。数据集分析是使用常见的流可视化技术（例如粒子动画）手动执行的。对于较大的患者研究来说，这是耗时的并且很快就会变得乏味。在本文中，我们提出了主动脉的二维绘图可视化，有助于一目了然地评估发生的涡流行为。为此，我们解释了 4D 流数据到圆形 2D 图的映射，并描述了所采用的 λ2 涡准则的可视化。网格视图允许同时调查和比较多个数据集。在短暂熟悉这些图后，我们的合作心脏病专家和放射科医生能够轻松区分患者和健康志愿者数据集。
Aortic vortex flow is a strong indicator for various cardiovascular diseases. The correlation of pathologies like bicuspid aortic valves to the occurrence of such flow patterns at specific spatio-temporal positions during the cardiac cycle is of great interest to medical researchers. Dataset analysis is performed manually with common flow visualization techniques such as particle animations. For larger patient studies this is time-consuming and quickly becomes tedious. In this paper, we present a two-dimensional plot visualization of the aorta that facilitates the assessment of occurring vortex behavior at one glance. For this purpose, we explain a mapping of the 4D flow data to circular 2D plots and describe the visualization of the employed λ2-vortex criterion. A grid view allows the simultaneous investigation and comparison of multiple datasets. After a short familiarization with the plots our collaborating cardiologists and radiologists were able distinguish between patient and healthy volunteer datasets with ease.