Accelerated multicontrast reconstruction for synthetic MRI using joint parallel imaging and variable splitting networks.

Journal: Medical physics
Published Date: Apr 12, 2021

Abstract

PURPOSE: Synthetic magnetic resonance imaging (MRI) requires the acquisition of multicontrast images to estimate quantitative parameter maps, such as T , T , and proton density (PD). The study aims to develop a multicontrast reconstruction method based on joint parallel imaging (JPI) and joint deep learning (JDL) to enable further acceleration of synthetic MRI.

Authors

  • Kanghyun Ryu
    Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea.
  • Jae-Hun Lee
    Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea.
  • Yoonho Nam
    Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, Catholic University of Korea, Seoul, Republic of Korea.
  • Sung-Min Gho
    MR Clinical research and Development, GE Healthcare, Seoul, Republic of Korea.
  • Ho-Sung Kim
    Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
  • Dong-Hyun Kim
    Neurobiota Research Center, College of Pharmacy, Kyung Hee University, Dongdaemun-gu, Seoul 02447, Republic of Korea.

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