Lesion probability mapping in MS patients using a regression network on MR fingerprinting.

Journal: BMC medical imaging
PMID: 34238246

Abstract

BACKGROUND: To develop a regression neural network for the reconstruction of lesion probability maps on Magnetic Resonance Fingerprinting using echo-planar imaging (MRF-EPI) in addition to [Formula: see text], [Formula: see text], NAWM, and GM- probability maps.

Authors

  • Ingo Hermann
    Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
  • Alena K Golla
    Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
  • Eloy Martínez-Heras
    Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomédiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain.
  • Ralf Schmidt
    Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
  • Elisabeth Solana
    Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomédiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain.
  • Sara Llufriu
    Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomédiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain.
  • Achim Gass
    Department of Neurology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
  • Lothar R Schad
  • Frank G Zöllner

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