Deep learning-based image enhancement for improved black blood imaging in brain metastasis
Question Can deep learning (DL)-based image enhancement improve the image quality and diagnostic performance of 3D contrast-enhanced T1-weighted black blood (BB) MR imaging for brain metastases? Findings DL-based image enhancement improved image quality of thin slice BB MR images and sensitivity for brain metastasis, particularly for lesions smaller than 5 mm. Clinical relevance DL-based image enhancement on BB images may assist in the accurate diagnosis of brain metastasis by achieving better sensitivity while maintaining comparable specificity.
Authors
- Roh‐Eul Yoo (ORCID: https://orcid.org/0000-0002-5625-5921)
- Seungyoon Paik
- Sang Won Jo (ORCID: https://orcid.org/0000-0001-6755-3652)
- Geon Oh (ORCID: https://orcid.org/0000-0002-0308-3636)
- Hye Jeong Choi (ORCID: https://orcid.org/0000-0002-4103-769X)
- Kyoung Won Cho (ORCID: https://orcid.org/0000-0003-0401-7742)
Institutions
- Seoul National University (KR)
- Seoul National University Hospital (KR)
- Institute for Basic Science (KR)
- National University College (PR)
- CHA University Bundang Medical Center (KR)
- Kangdong Sacred Heart Hospital (KR)
- CHA University (KR)
- Hallym University Dongtan Sacred Heart Hospital (KR)
Publication Details
- Journal
- European Radiology
- Published
- 2025-08-08
- DOI
- https://doi.org/10.1007/s00330-025-11920-7
- Primary Topic
- Brain Metastases and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Korea Medical Device Development Fund
- National Research Foundation
- Seoul National University
- Ministry of Trade, Industry and Energy
- National Research Foundation of Korea
- Seoul National University Hospital
- Ministry of Science and ICT, South Korea