Yang Fei, Zhang Lei, Lu Weigang, Liu Lei, Zhang Yue, Zuo Wangmeng, Wang Kuanquan, Zhang Henggui
School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai 264200, China.
School of Art and Design, Harbin University, Harbin 150086, China.
Biomed Res Int. 2016;2016:2979081. doi: 10.1155/2016/2979081. Epub 2016 Nov 27.
Although heart researches and acquirement of clinical and experimental data are progressively open to public use, cardiac biophysical functions are still not well understood. Due to the complex and fine structures of the heart, cardiac electrophysiological features of interest may be occluded when there is a necessity to demonstrate cardiac electrophysiological behaviors. To investigate cardiac abnormal electrophysiological features under the pathological condition, in this paper, we implement a human cardiac ischemic model and acquire the electrophysiological data of excitation propagation. A visualization framework is then proposed which integrates a novel depth weighted optic attenuation model into the pathological electrophysiological model. The hidden feature of interest in pathological tissue can be revealed from sophisticated overlapping biophysical information. Experiment results verify the effectiveness of the proposed method for intuitively exploring and inspecting cardiac electrophysiological activities, which is fundamental in analyzing and explaining biophysical mechanisms of cardiac functions for doctors and medical staff.
尽管心脏研究以及临床和实验数据的获取正逐渐向公众开放，但心脏的生物物理功能仍未得到充分理解。由于心脏结构复杂且精细，在需要展示心脏电生理行为时，感兴趣的心脏电生理特征可能会被掩盖。为了研究病理状态下心脏的异常电生理特征，本文构建了一个人体心脏缺血模型，并获取了兴奋传播的电生理数据。然后提出了一个可视化框架，该框架将一种新颖的深度加权光学衰减模型集成到病理电生理模型中。可以从复杂的重叠生物物理信息中揭示病理组织中感兴趣的隐藏特征。实验结果验证了所提方法在直观探索和检查心脏电生理活动方面的有效性，这对于医生和医护人员分析和解释心脏功能的生物物理机制至关重要。
