BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources.

Journal: Zeitschrift fur medizinische Physik
Published Date: Sep 2, 2022

Abstract

INTRODUCTION: Background field removal (BFR) is a critical step required for successful quantitative susceptibility mapping (QSM). However, eliminating the background field in brains containing significant susceptibility sources, such as intracranial hemorrhages, is challenging due to the relatively large scale of the field induced by these pathological susceptibility sources.

Authors

  • Xuanyu Zhu
    School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia.
  • Yang Gao
    State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100050, China.
  • Feng Liu
    Department of Vascular and Endovascular Surgery, The First Medical Center of Chinese PLA General Hospital, 100853 Beijing, China.
  • Stuart Crozier
    School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia.
  • Hongfu Sun
    School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Queensland, Australia.

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