Image quality assessment and white matter hyperintensity quantification in two accelerated high-resolution 3D FLAIR techniques: Wave-CAIPI and deep learning-based SPACE.

Journal: Clinical radiology
PMID: 39842179

Abstract

AIM: To compare the image quality obtained using two accelerated high-resolution 3D fluid-attenuated inversion recovery (FLAIR) techniques for the brain-deep learning-reconstruction SPACE (DL-SPACE) and Wave-CAIPI FLAIR.

Authors

  • H K Jung
    Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
  • Y Choi
    Department of Herbal Pharmacology, College of Korean Medicine, Gachon University, Seongnam-si, Korea.
  • S Kim
  • D Nickel
    MR Application Predevelopment, Siemens Healthineers GmbH, Erlangen, Germany.
  • J E Park
    Department of Radiology and Research Institute of Radiology (J.E.P., H.S.K.), Asan Medical Center, University of Ulsan College of Medicine.
  • H S Kim
    Department of Pharmacology, Pharmacogenomic Research Center for Membrane Transporters, Brain Korea 21 PLUS Project for Medical Sciences; Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul.

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