Visualizing Cardiovascular Magnetic Resonance (CMR) imagery: challenges and opportunities.
Visualizing Cardiovascular Magnetic Resonance (CMR) imagery: challenges and opportunities.
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DOI：
10.1016/j.pbiomolbio.2014.07.009
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发表时间：
2014-08
影响因子：
3.8
通讯作者：
S. Walton;K. Berger;Jeyarajan Thiyagalingam;Brian Duffy;H. Fang;Cameron Holloway;Anne E. Trefethen;Min Chen
中科院分区：
文献类型：
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作者：
S. Walton;K. Berger;Jeyarajan Thiyagalingam;Brian Duffy;H. Fang;Cameron Holloway;Anne E. Trefethen;Min Chen
心血管磁共振（CMR）成像是测量局部心肌功能的重要技术。然而，基于观察CMR图像来解释、识别和比较各种运动特征是一项耗时且认知要求高的任务。在这项工作中，我们专注于CMR中二维心肌标记产生的可视化图像问题。特别是，我们概述了相关可视化技术的现状，并从感性的角度讨论了为什么这个问题是困难的。最后，我们介绍了一个概念验证的多层可视化用户界面，用于使用编码为多元符号的多个派生属性来可视化CMR数据。临床医生对该系统的初步评估表明，这种可视化技术在未来成为临床实践的巨大潜力。
Cardiovascular Magnetic Resonance (CMR) imaging is an essential technique for measuring regional myocardial function. However, it is a time-consuming and cognitively demanding task to interpret, identify and compare various motion characteristics based on watching CMR imagery. In this work, we focus on the problems of visualising imagery resulting from 2D myocardial tagging in CMR. In particular we provide an overview of the current state of the art of relevant visualization techniques, and a discussion on why the problem is difficult from a perceptual perspective. Finally, we introduce a proof-of-concept multilayered visualization user interface for visualizing CMR data using multiple derived attributes encoded into multivariate glyphs. An initial evaluation of the system by clinicians suggested a great potential for this visualisation technology to become a clinical practice in the future.