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A composite visualization method for electrophysiology-morphous merging of human heart.

Fei YangLei ZhangWeigang LuYue ZhangWangmeng ZuoKuanquan WangHenggui Zhang
Published in: Biomedical engineering online (2017)
Results suggest that the proposed merging optical model can merge cardiac electrophysiological activity with the anatomy structure. By specifying the respective opacity for the cardiac anatomy structure and the electrophysiological model in the merging attenuation function, the visualized images can provide an in-depth insight into the biophysical detailed cardiac functioning phenomena and the corresponding electrophysiological behavior mechanism, which is helpful for further speculating cardiac physiological and pathological responses and is fundamental to the cardiac research and clinical diagnoses.
Keyphrases
  • left ventricular
  • endothelial cells
  • optical coherence tomography
  • deep learning
  • machine learning
  • mass spectrometry