Depth Attenuation Degree Based Visualization for Cardiac Ischemic Electrophysiological Feature Exploration.

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 t...

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Publicado en:BioMed Research International Vol. 2016; pp. 1 - 9
Autores principales: Yang, Fei, Zhang, Lei, Lu, Weigang, Liu, Lei, Zhang, Yue, Zuo, Wangmeng, Wang, Kuanquan, Zhang, Henggui
Formato: diagnostic images equations & formulas research tables/charts Journal Article
Publicado: Wiley-Blackwell 11/27/2016
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 11/27/2016
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1155/2016/2979081
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        atl: Depth Attenuation Degree Based Visualization for Cardiac Ischemic Electrophysiological Feature Exploration.
      aug:
        au:
          Yang, Fei
          Zhang, Lei
          Lu, Weigang
          Liu, Lei
          Zhang, Yue
          Zuo, Wangmeng
          Wang, Kuanquan
          Zhang, Henggui
        affil: School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai 264200, China
      sug:
        subj:
          Electrophysiology
          Myocardial Ischemia Pathology
          Heart Diseases Pathology
          Models, Biological
          Mathematics
          Adenosine Triphosphate
          Ions
          Biological Transport
          Heart Ventricle, Left
          Funding Source
      ab: 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.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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