T2-weighted imaging of rectal cancer using a 3D fast spin echo sequence with and without deep learning reconstruction: A reader study.

Journal: Journal of applied clinical medical physics
PMID:

Abstract

PURPOSE: To compare image quality and clinical utility of a T2-weighted (T2W) 3-dimensional (3D) fast spin echo (FSE) sequence using deep learning reconstruction (DLR) versus conventional reconstruction for rectal magnetic resonance imaging (MRI).

Authors

  • Dan Nguyen
    University of Massachusetts Chan Medical School, Worcester, Massachusetts.
  • Sarah Palmquist
    Department of Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Ken-Pin Hwang
    Department of Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Jingfei Ma
    Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
  • Usama Salem
    From the Departments of Abdominal Imaging (C.T.J., S.G., M.M.S., V.K.W., U.S., N.A.W.B.), Physics (X.L.), and Biostatistics (W.Q.), the University of Texas MD Anderson Cancer Center, 1400 Pressler St, Unit 1473, Houston, TX 77030-4009; and Center for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Laboratories, Clinical Imaging Physics Group, Medical Physics Graduate Program, Departments of Radiology, Physics, Biomedical Engineering, and Electrical and Computer Engineering, Duke University Medical Center, Durham, NC (E.S.).
  • Jia Sun
    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei 430079, China.
  • Xinzeng Wang
    MR Clinical Solutions and Research Collaborations, GE Healthcare, Houston, TX, USA.
  • Jong Bum Son
    From the Department of Imaging Physics (Z.Z., J.W.S., J.B.S., J.M.), Medical Physics Graduate Program, UTHealth Graduate School of Biomedical Sciences (J.W.S.), Department of Diagnostic Radiology (J.M.J., M.K.G., M.M.C.), Department of Radiation Physics (T.M.B.), Department of Radiation Oncology (Y.W., J.L.), and Department of Cancer Systems Imaging (M.D.P.), The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030.
  • Randy Ernst
    Department of Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Peng Wei
    School of Basic Medicine, Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.
  • Harmeet Kaur
    Department of Computer Science and Applications (DCSA), Panjab University, Chandigarh, India.
  • Nir Stanietzky
    Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX, 77030-4009, USA.