Deep Learning-Based Reconstruction of 3D T1 SPACE Vessel Wall Imaging Provides Improved Image Quality with Reduced Scan Times: A Preliminary Study.

Journal: AJNR. American journal of neuroradiology
Published Date: Nov 7, 2024

Abstract

BACKGROUND AND PURPOSE: Intracranial vessel wall imaging is technically challenging to implement, given the simultaneous requirements of high spatial resolution, excellent blood and CSF signal suppression, and clinically acceptable gradient times. Herein, we present our preliminary findings on the evaluation of a deep learning-optimized sequence using T1-weighted imaging.

Authors

  • Girish Bathla
    Mayo Clinic Rochester, Minnesota, USA.
  • Steven A Messina
    From the Department of Radiology (G.B., S.A.M., D.F.B., J.C.B., B.C.R., I.T.M., F.E.D.), Mayo Clinic, Rochester, Minnesota.
  • David F Black
    From the Department of Radiology (G.B., S.A.M., D.F.B., J.C.B., B.C.R., I.T.M., F.E.D.), Mayo Clinic, Rochester, Minnesota.
  • John C Benson
    Department of Radiology, Mayo Clinic, Rochester, Minnesota.
  • Peter Kollasch
    Siemens Medical Solutions USA, USA.
  • Marcel D Nickel
    Siemens Healthineers AG (P.K., M.D.N.), Forchheim, Germany.
  • Neetu Soni
    University of Rochester Medical Center Rochester, New York, USA.
  • Brian C Rucker
    From the Department of Radiology (G.B., S.A.M., D.F.B., J.C.B., B.C.R., I.T.M., F.E.D.), Mayo Clinic, Rochester, Minnesota.
  • Ian T Mark
    Department of Radiology, Mayo Clinic, Rochester, Minnesota.
  • Felix E Diehn
    From the Department of Radiology (G.B., S.A.M., D.F.B., J.C.B., B.C.R., I.T.M., F.E.D.), Mayo Clinic, Rochester, Minnesota.
  • Amit K Agarwal
    Department of Radiology (N.S., A.K.A.), Mayo Clinic, Jacksonville, Florida.

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