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Cross-sectional angle prediction of lipid-rich and calcified tissue on computed tomography angiography images.

Xiaotong ZhangAlexander BroersenHessam SokootiAnantharaman RamasamyPieter KitslaarRamya ParasaMedeni KaradumanAmear Souded Ali Jan MohammedChristos V BourantasJouke Dijkstra
Published in: International journal of computer assisted radiology and surgery (2024)
The two methods proposed in this paper contribute to finer cross-sectional predictions of lipid-rich and calcified plaques compared to studies focusing only on longitudinal prediction. The angular prediction performance of the proposed methods outperforms the convincing conventional method for lipid-rich plaque and is comparable for calcified plaque.
Keyphrases
  • cross sectional
  • fatty acid
  • coronary artery disease
  • deep learning
  • high resolution
  • optical coherence tomography
  • computed tomography
  • mass spectrometry