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Clinically viable myocardial CCTA segmentation for measuring vessel-specific myocardial blood flow from dynamic PET/CCTA hybrid fusion.

Marina PiccinelliNavdeep DahiyaJonathon A NyeRussell FolksC David CookeDaya ManatungaDoyeon HwangJin Chul PaengSang-Geon ChoJoo Myung LeeHee-Seung BomBon-Kwon KooAnthony YezziErnest V Garcia
Published in: European journal of hybrid imaging (2022)
Fully automated and manually corrected myocardial CCTA segmentation provides anatomical masks in clinically acceptable times for vessel-specific myocardial blood flow measurements using dynamic PET/CCTA image fusion which are not significantly different in flow accuracy and within clinically acceptable processing times compared to fully manually segmented CCTA myocardial masks.
Keyphrases
  • blood flow
  • left ventricular
  • deep learning
  • computed tomography
  • convolutional neural network
  • positron emission tomography
  • heart failure
  • pet imaging
  • single cell