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Estimation of the capillary level input function for dynamic contrast-enhanced MRI of the breast using a deep learning approach.

Jonghyun BaeZhengnan HuangFlorian KnollKrzysztof GerasTerlika Pandit SoodLi FengLaura HeacockLinda MoySungheon Gene Kim
Published in: Magnetic resonance in medicine (2022)
This study shows the feasibility of estimating voxel-wise CIF using a deep neural network. The proposed approach could eliminate the need to measure AIF manually without compromising the diagnostic performance to detect the malignancy in the clinical setting.
Keyphrases
  • neural network
  • deep learning
  • magnetic resonance imaging
  • contrast enhanced
  • computed tomography
  • convolutional neural network
  • magnetic resonance