Parallel imaging in time-of-flight magnetic resonance angiography using deep multistream convolutional neural networks.

Journal: Magnetic resonance in medicine
Published Date: Jan 21, 2019

Abstract

PURPOSE: To develop and evaluate a method of parallel imaging time-of-flight (TOF) MRA using deep multistream convolutional neural networks (CNNs).

Authors

  • Yohan Jun
    School of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea.
  • Taejoon Eo
    School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea.
  • Hyungseob Shin
    School of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea.
  • Taeseong Kim
    School of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea.
  • Ho-Joon Lee
    Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Dosik Hwang
    School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea. dosik.hwang@yonsei.ac.kr.

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