Thin-slice Two-dimensional T2-weighted Imaging with Deep Learning-based Reconstruction: Improved Lesion Detection in the Brain of Patients with Multiple Sclerosis.

Journal: Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
Published Date: Mar 16, 2023

Abstract

PURPOSE: Brain MRI with high spatial resolution allows for a more detailed delineation of multiple sclerosis (MS) lesions. The recently developed deep learning-based reconstruction (DLR) technique enables image denoising with sharp edges and reduced artifacts, which improves the image quality of thin-slice 2D MRI. We, therefore, assessed the diagnostic value of 1 mm-slice-thickness 2D T2-weighted imaging (T2WI) with DLR (1 mm T2WI with DLR) compared with conventional MRI for identifying MS lesions.

Authors

  • Masatoshi Iwamura
    Department of Radiology, Hirosaki University Graduate School of Medicine.
  • Satoru Ide
    Department of Radiology, University of Occupational and Environmental Health, School of Medicine.
  • Kenya Sato
    Department of Radiology, Aomori Prefectural Central Hospital.
  • Akihisa Kakuta
    Department of Radiology, Aomori Prefectural Central Hospital.
  • Soichiro Tatsuo
    Department of Radiology, Hirosaki University Graduate School of Medicine.
  • Atsushi Nozaki
    GE Healthcare, Tokyo, Japan.
  • Tetsuya Wakayama
    MR Application and Workflow, GE Healthcare.
  • Tatsuya Ueno
    Department of Neurology, Aomori Prefectural Central Hospital.
  • Rie Haga
    Department of Neurology, Aomori Prefectural Central Hospital.
  • Misako Kakizaki
    Department of Radiology, Aomori Prefectural Central Hospital.
  • Yoko Yokoyama
    Department of Internal Medicine, Division of Inflammatory Bowel Disease, Hyogo College of Medicine, Hyogo, Japan. Electronic address: yoko0502@hyo-med.ac.jp.
  • Ryoichi Yamauchi
    Department of Radiology, Aomori Prefectural Central Hospital.
  • Fumiyasu Tsushima
    Department of Radiology, Hirosaki University Graduate School of Medicine.
  • Koichi Shibutani
    Department of Radiology, Aomori Prefectural Central Hospital.
  • Masahiko Tomiyama
    Department of Neurology, Hirosaki University Graduate School of Medicine.
  • Shingo Kakeda
    Department of Radiology, Hirosaki University Graduate School of Medicine.

Keywords

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