Image quality of whole-body diffusion MR images comparing deep-learning accelerated and conventional sequences.

Abstract

Authors

• Andrea Ponsiglione
  Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy.
• Will McGuire
  Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, United Kingdom.
• Giuseppe Petralia
  Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.
• Marie Fennessy
  Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, United Kingdom.
• Thomas Benkert
  Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacher Strasse 6, 97080 Würzburg, Germany (J.F.H., S.V., C.M., L.M.P., T.A.B., H.K., A.M.W.); and Department of Application Development, Siemens Healthcare, Erlangen, Germany (T.B., J.P.).
• Alfonso Maria Ponsiglione
  Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy.
• Anwar R Padhani
  From the Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Rickmansworth Road, Northwood, Middlesex HA6 2RN, England (A.R.P.); and Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Md (B.T.).

Keywords

External Resources