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Modeling the diffusion-weighted imaging signal for breast lesions in the b = 200 to 3000 s/mm2 range: quality of fit and classification accuracy for different representations.

Igor VidićLiv EgnellNeil P JeromeNathan S WhiteRoshan KarunamuniRebecca Rakow-PennerAnders M DaleTone F BathenPål Erik Goa
Published in: Magnetic resonance in medicine (2020)
Non-Gaussian representations are required for fitting of the DWI curve at high b-values in breast lesions. However, the added clinical value from the high b-value data for differentiation of benign and malignant lesions is not clear.
Keyphrases
  • diffusion weighted imaging
  • working memory
  • magnetic resonance imaging
  • contrast enhanced
  • machine learning
  • deep learning
  • electronic health record
  • big data
  • diffusion weighted
  • quality improvement