Super-resolution sodium MRI of human gliomas at 3T using physics-based generative artificial intelligence.

Journal: Journal of neuro-oncology
Published Date:

Abstract

PURPOSE: Sodium neuroimaging provides unique insights into the cellular and metabolic properties of brain tumors. However, at 3T, sodium neuroimaging MRI's low signal-to-noise ratio (SNR) and resolution discourages routine clinical use. We evaluated the recently developed Anatomically constrained GAN using physics-based synthetic MRI artifacts" (ATHENA) for high-resolution sodium neuroimaging of brain tumors at 3T. We hypothesized the model would improve the image quality while preserving the inherent sodium information.

Authors

  • Catalina Raymond
    UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA.
  • Jingwen Yao
    From the UCLA Brain Tumor Imaging Laboratory (C.R., J.Y., S.O., B.M.E.), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA.
  • Alfredo L Lopez Kolkovsky
    UCLA Brain Tumor Imaging Laboratory (BTIL), Departments of Radiological Sciences, Psychiatry, and Neurosurgery, David Geffen School of Medicine, Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, 924 Westwood Blvd., Suite 615, Los Angeles, CA, 90024, USA.
  • Thorsten Feiweier
    Siemens Healthcare GmbH, Erlangen, Germany.
  • Bryan Clifford
    Siemens Medical Solutions USA, Boston, Massachusetts, USA.
  • Heiko Meyer
    Siemens Healthcare, Application Development, Erlangen, Germany.
  • Xiaodong Zhong
    Department of Radiological Sciences (C.R., J.Y., S.O., X.Z., N.S., B.M.E), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA.
  • Fei Han
    Organ Transplantation Research Institution, Division of Kidney Transplantation, Department of Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
  • Nicholas S Cho
    UCLA Brain Tumor Imaging Laboratory (BTIL), Departments of Radiological Sciences, Psychiatry, and Neurosurgery, David Geffen School of Medicine, Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, 924 Westwood Blvd., Suite 615, Los Angeles, CA, 90024, USA.
  • Francesco Sanvito
    From the Departments of Radiology (G.M.C., K.A.P., J.C.C., B.J.E.), Neurology (D.H.L., W.O.T.), Laboratory Medicine and Pathology (R.B.J.), and Health Sciences Research (J.E.E.P.), Mayo Clinic, 200 First St SW, Rochester, MN 55905; Department of Health Sciences Research, Mayo Clinic, Jacksonville, Fla (A.D.W.); Mayo Clinic Alix School of Medicine, Rochester, Minn (D.C.V.); Neuroradiology Unit, Scientific Institute for Research, Hospitalization, and Healthcare San Raffaele Scientific Institute, Milan, Italy (M.B.); and Department of Clinical, Surgical, Diagnostic, and Pediatric Sciences, University of Pavia, Pavia, Italy (F.S.).
  • Sonoko Oshima
    Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
  • Noriko Salamon
    Department of Radiology, University of California, Los Angeles, Los Angeles, CA, USA.
  • Linda M Liau
    UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA.
  • Kunal S Patel
    Department of Neurosurgery, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
  • Richard G Everson
    Department of Neurosurgery (R.G.E.), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA.
  • Timothy F Cloughesy
    UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA.
  • Benjamin M Ellingson
    UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California.