A Feasibility Study on Deep Learning Reconstruction to Improve Image Quality With PROPELLER Acquisition in the Setting of T2-Weighted Gynecologic Pelvic Magnetic Resonance Imaging.

Abstract

Authors

• Mohammed Saleh
  Sheffield Hallam University, Sheffield, UK.
• Mayur Virarkar
  Department of Diagnostic Radiology, University of Florida College of Medicine, Jacksonville, FL.
• Sanaz Javadi
  Department of Abdominal Imaging, University of Texas MD Anderson Cancer Center, 1400 Pressler St, Unit 1473, Houston, TX 77030-4009.
• Manoj Mathew
  Department of Radiology, Stanford University, Stanford, CA.
• Sai Swarupa Reddy Vulasala
  Department of Internal Medicine, East Carolina University Health Medical Center, Greenville, NC.
• 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.
• Jia Sun
  State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei 430079, China.
• Ersin Bayram
  MR Clinical Solutions and Research Collaborations, GE Healthcare, Houston, TX, USA.
• Xinzeng Wang
  MR Clinical Solutions and Research Collaborations, GE Healthcare, Houston, TX, USA.
• Jingfei Ma
  Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
• Janio Szklaruk
  Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA, 1515 Holcombe Blvd., Houston, TX, USA. JSzklaru@mdanderson.org.
• Priya Bhosale
  Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA, 1515 Holcombe Blvd., Houston, TX, USA.

Keywords

External Resources