• Corpus ID: 244478646

Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations

@article{Pepe2021AutomatedCV,
  title={Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations},
  author={Antonio Pepe and Jan Egger and Marina Codari and Martin J. Willemink and Christina Gsaxner and Jianning Li and Peter M. Roth and Gabriel Mistelbauer and Dieter Schmalstieg and Dominik Fleischmann},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.11269}
}
Objective: Surveillance imaging of chronic aortic diseases, such as dissections, relies on obtaining and comparing cross-sectional diameter measurements at predefined aortic landmarks, over time. Due to a lack of robust tools, the orientation of the crosssectional planes is defined manually by highly trained operators. We show how manual annotations routinely collected in a clinic can be efficiently used to ease this task, despite the presence of a non-negligible interoperator variability in… 

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