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CT-based True- and False-Lumen Segmentation in Type B Aortic Dissection Using Machine Learning.

Lewis D HahnGabriel MistelbauerKai HigashigaitoMartin KociMartin J WilleminkAnna M SailerMichael FischbeinDominik Fleischmann
Published in: Radiology. Cardiothoracic imaging (2020)
A segmentation pipeline was used to accurately identify true and false lumina on CT angiograms of aortic dissection. These segmentations can be used to obtain diameter and other morphologic parameters for surveillance and risk stratification.Supplemental material is available for this article.© RSNA, 2020.
Keyphrases
  • aortic dissection
  • image quality
  • deep learning
  • dual energy
  • convolutional neural network
  • computed tomography
  • contrast enhanced
  • positron emission tomography
  • magnetic resonance imaging
  • ultrasound guided