Deep-learning-based reconstruction of undersampled MRI to reduce scan times: a multicentre, retrospective, cohort study.

Journal: The Lancet. Oncology
Published Date: Mar 1, 2024

Abstract

BACKGROUND: The extended acquisition times required for MRI limit its availability in resource-constrained settings. Consequently, accelerating MRI by undersampling k-space data, which is necessary to reconstruct an image, has been a long-standing but important challenge. We aimed to develop a deep convolutional neural network (dCNN) optimisation method for MRI reconstruction and to reduce scan times and evaluate its effect on image quality and accuracy of oncological imaging biomarkers.

Authors

  • Aditya Rastogi
    Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, 560012, India.
  • Gianluca Brugnara
    Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Martha Foltyn-Dumitru
    Division for Computational Neuroimaging, Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Mustafa Ahmed Mahmutoglu
    Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Chandrakanth J Preetha
    Division for Computational Neuroimaging, Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany; Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Erich Kobler
    Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria.
  • Irada Pflüger
    Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Marianne Schell
    Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Katerina Deike-Hofmann
    Department of Neuroradiology, University Hospital Bonn, Germany.
  • Tobias Kessler
    Neurology Clinic, Heidelberg University Hospital, Heidelberg, Germany; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Martin J van den Bent
    Brain Tumor Center at Erasmus MC Cancer Institute, Rotterdam, Netherlands.
  • Ahmed Idbaih
    Sorbonne Université, INSERM U1127, CNRS UMR7225, Institut du Cerveau et de la Moelle épinière (ICM), AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Service de Neurologie 2-Mazarin, Paris, France shair@hadassah.org.il ahmed.idbaih@aphp.fr.
  • Michael Platten
    Neurology Clinic, Heidelberg University Hospital, Heidelberg, Germany; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany; Department of Neurology, Mannheim Medical Center, University of Heidelberg, Mannheim, Germany.
  • Alba A Brandes
    Department of Medical Oncology, Azienda USL of Bologna, Bologna, Italy.
  • Burt Nabors
    Department of Neurology and O'Neal Comprehensive Cancer Center, Division of Neuro-Oncology, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Roger Stupp
    Malnati Brain Tumor Institute of the Lurie Comprehensive Cancer Center, Department of Neurological Surgery and Department of Neurology, Northwestern Medicine and Northwestern University, Chicago, IL, USA.
  • Denise Bernhardt
    Department of Radiation Oncology, School of Medicine and Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
  • Jürgen Debus
    Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany; Heidelberg Institute of Radiation Oncology, Heidelberg, Germany; Heidelberg Ion-Beam Therapy Center, Heidelberg, Germany.
  • Amir Abdollahi
    Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.
  • Thierry Gorlia
    European Organisation for Research and Treatment of Cancer, Brussels, Belgium.
  • Jörg-Christian Tonn
    Department of Neurosurgery, Ludwig-Maximilians-University Munich, Munich, Germany; German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Michael Weller
    Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland.
  • Klaus H Maier-Hein
    Medical Image Computing (MIC), German Cancer Research Center (DKFZ), Heidelberg, Germany. Electronic address: k.maier-hein@dkfz.de.
  • Alexander Radbruch
    Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany; Department of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Wolfgang Wick
    Neurology Clinic, Heidelberg University Hospital, Heidelberg, Germany; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Martin Bendszus
    Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Hagen Meredig
    Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Felix T Kurz
    Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Philipp Vollmuth
    Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany. Electronic address: philipp.vollmuth@med.uni-heidelberg.de.

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