title: Depth Attenuation Degree Based Visualization for Cardiac Ischemic Electrophysiological Feature Exploration.
abstract: 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.
authors.affiliation: School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai 264200, China.
authors.forename: Fei
authors.identifier: 0000-0001-6519-7850
authors.initials: F
authors.lastname: Yang
authors.affiliation: School of Art and Design, Harbin University, Harbin 150086, China.
authors.forename: Lei
authors.identifier: 0000-0002-4424-4942
authors.initials: L
authors.lastname: Zhang
authors.affiliation: Department of Educational Technology, Ocean University of China, Qingdao 266100, China.
authors.forename: Weigang
authors.identifier: 0000-0002-1767-5309
authors.initials: W
authors.lastname: Lu
authors.affiliation: Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Liu
authors.affiliation: School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
authors.forename: Yue
authors.identifier: 0000-0002-4515-8931
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
authors.forename: Wangmeng
authors.initials: W
authors.lastname: Zuo
authors.affiliation: School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
authors.forename: Kuanquan
authors.identifier: 0000-0003-1347-3491
authors.initials: K
authors.lastname: Wang
authors.affiliation: School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China; School of Physics and Astronomy, University of Manchester, Manchester M139PL, UK.
authors.forename: Henggui
authors.initials: H
authors.lastname: Zhang
mesh_terms: D018780:Body Surface Potential Mapping / Q000379:methods*; D003198:Computer Simulation; D022062:Electrophysiologic Techniques, Cardiac / Q000379:methods; D006329:Heart Conduction System / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008955:Models, Cardiovascular; D017202:Myocardial Ischemia / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014584:User-Computer Interface