Super-Resolving and Denoising 4D flow MRI of Neurofluids Using Physics-Guided Neural Networks.

Journal: Annals of biomedical engineering
PMID: 39223318

Abstract

PURPOSE: To obtain high-resolution velocity fields of cerebrospinal fluid (CSF) and cerebral blood flow by applying a physics-guided neural network (div-mDCSRN-Flow) to 4D flow MRI.

Authors

  • Neal M Patel
    Divisions of Pulmonary, Allergy, Sleep Medicine & Respiratory Services/Mayo Clinic, Jacksonville, Florida, USA.
  • Emily R Bartusiak
    Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA.
  • Sean M Rothenberger
    Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
  • A J Schwichtenberg
    Health and Human Sciences, Purdue University, West Lafayette, IN, USA.
  • Edward J Delp
  • Vitaliy L Rayz
    Biomedical Engineering, Purdue University, West Lafayette, IN, USA. vrayz@purdue.edu.

Keywords

External Resources

Popular Topics
Recent Journals