Deep learning-based image enhancement for improved black blood imaging in brain metastasis.

Journal: European radiology
Published Date: Aug 8, 2025

Abstract

OBJECTIVES: To evaluate the utility of a deep learning (DL)-based image enhancement for improving the image quality and diagnostic performance of 3D contrast-enhanced T1-weighted black blood (BB) MR imaging for brain metastases.

Authors

  • Gaeun Oh
    Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Seungyoon Paik
    School of Industrial and Management Engineering, Korea University, Anam-ro 145, Seongbuk-gu, Seoul, 02841, South Korea.
  • Sang Won Jo
    Department of Radiology, Hallym University Dongtan Sacred Heart Hospital, 7, Keunjaebong-gil, Hwaseong-si, Republic of Korea.
  • Hye Jeong Choi
    Department of Radiology, CHA Bundang Medical Center, CHA University, 59 Yatap-Ro, Bundang, Seongnam, Gyeonggi-Do, 13496, Republic of Korea. isahj@cha.ac.kr.
  • Roh-Eul Yoo
    Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Seung Hong Choi
    From the Graduate School of Medical Science and Engineering (K.H.K., S.H.P.) and Department of Bio and Brain Engineering (S.H.P.), Korea Advanced Institute of Science and Technology, Room 1002, CMS (E16) Building, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea; Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea (S.H.C.); Department of Radiology, Seoul National University College of Medicine, and Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea (S.H.C.); and Center for Nanoparticle Research, Institute for Basic Science, Seoul, Republic of Korea (S.H.C.).

Keywords

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