Image quality in three-dimensional (3D) contrast-enhanced dynamic magnetic resonance imaging of the abdomen using deep learning denoising technique: intraindividual comparison between T1-weighted sequences with compressed sensing and with a modified Fast 3D mode wheel.

Journal: Japanese journal of radiology
PMID: 39503820

Abstract

PURPOSE: To assess the image quality of a modified Fast three-dimensional (Fast 3D) mode wheel with sequential data filling (mFast 3D wheel) combined with a deep learning denoising technique (Advanced Intelligent Clear-IQ Engine [AiCE]) in contrast-enhanced (CE) 3D dynamic magnetic resonance (MR) imaging of the abdomen during a single breath hold (BH) by intra-individual comparison with compressed sensing (CS) with AiCE.

Authors

  • Masahiro Tanabe
    Department of Radiology, Yamaguchi University Graduate School of Medicine, Japan. Electronic address: m-tanabe@yamaguchi-u.ac.jp.
  • Yosuke Kawano
    Department of Radiology, Yamaguchi University Graduate School of Medicine, 1-1-1 Minami-Kogushi, Ube, Yamaguchi 755-8505, Japan.
  • Atsuo Inoue
    Department of Radiology, Yamaguchi University Graduate School of Medicine, 1-1-1 Minami-Kogushi, Ube, Yamaguchi, 755-8505, Japan.
  • Keisuke Miyoshi
    Department of Radiology, Yamaguchi University Graduate School of Medicine, 1-1-1 Minami-Kogushi, Ube, Yamaguchi 755-8505, Japan.
  • Haruki Furutani
    Department of Radiology, Yamaguchi University Graduate School of Medicine, 1-1-1 Minami-Kogushi, Ube, Yamaguchi, 755-8505, Japan.
  • Kenichiro Ihara
    Department of Radiology, Yamaguchi University Graduate School of Medicine, 1-1-1 Minami-Kogushi, Ube, Yamaguchi 755-8505, Japan.
  • Mayumi Higashi
    Department of Radiology, Yamaguchi University Graduate School of Medicine, Japan.
  • Katsuyoshi Ito
    Department of Radiology, Yamaguchi University Graduate School of Medicine, Japan.

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