CycleStack:通过超声视频的时间序列可视化来推断周期行为

Teng-Yok Lee, Abon Chaudhuri, F. Porikli, Han-Wei Shen
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引用次数: 8

摘要

一系列众所周知的治疗方法用于摧毁人体肿瘤和类似的有害生长,利用受影响身体部位固有的周期性运动与患者周期性呼吸信号之间的一致性,以最大限度地减少对周围正常组织的损害。这种方法需要操作员的持续监控,操作员通过超声成像平面上的2D投影观察身体的3D运动,并研究这种运动与呼吸信号的同步性。在整个治疗期间,密切关注呼吸信号和超声视频往往是不方便和繁重的。在本文中,我们提出了一种称为CycleStack Plot的视频可视化技术,该技术通过将视频和信号混合在一个类似堆栈的布局中来减少这种认知开销。这种可视化显示了目标运动和呼吸信号之间固有的同步性,在视觉上突出了两种循环现象中的任何一种的显著相移,希望能引起操作员的注意。我们提出的可视化还为后处理分析提供了一个可视化的概述,使受过教育的用户能够快速有效地浏览过冗长的过程。本文以真实超声视频为例,演示了CycleStack Plot的实用性。此外,还进行了一项用户研究,以评估所提出方法相对于并排观看视频和信号的传统方法的优点和局限性。尽管提出可视化的动机是改进使用超声的医学应用,但这里讨论的核心技术有可能扩展到需要从视频中分析循环模式的其他应用领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CycleStack: Inferring periodic behavior via temporal sequence visualization in ultrasound video
A range of well-known treatment methods for destroying tumor and similar harmful growth in human body utilizes the coherence between the inherently periodic movement of the affected body part and periodic respiratory signal of the patient, with the objective of minimizing damage to surrounding normal tissues. Such methods require constant monitoring by an operator who observes the 3D body motion via its 2D projection onto an ultrasound imaging plane and studies the synchronism of this motion with the respiratory signal. Keeping an attentive eye on the respiratory signal as well as the ultrasound video for the entire treatment period is often inconvenient and burdensome. In this paper, we propose a video visualization technique called CycleStack Plot which reduces this cognitive overhead by blending the video and the signal together in a stack-like layout. This visualization reveals the inherent synchronism between the target's movement and the respiratory signal, visually highlights significant phase shifts of either of the two cyclic phenomena, with the hope of arresting the operator's attention. Our proposed visualization also provides a visual overview for the post-treatment analysis which enables educated users to quickly and effectively skim through the excessively long process. This paper demonstrates the utility of CycleStack Plot with a case study using real ultrasound videos. In addition, a user study has been performed to evaluate the merits and limitations of the proposed method with respect to the conventional way of watching a video and a signal side-by-side. Even though the motivation of the proposed visualization is improvement of medical applications that use ultrasound, the core techniques discussed here have potential to be extended to other application domains requiring analysis of cyclic patterns from videos.
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