Improving Vessel Visibility and Applying Artificial Intelligence to Autodetect Brain Metastasis for a 3D MR Imaging Sequence Capable of Simultaneous Images with and without Blood Vessel Suppression
Vessel visibility was improved by modifying the k-space filling, which may reduce false positives. The AI model for VISIBLE with CS achieved good performance in autodetection of brain metastases. The AI model for VISIBLE with CS can help radiologists diagnose brain metastases in clinical practice.
Authors
- Makoto Obara (ORCID: https://orcid.org/0000-0001-7367-6122)
- Osamu Togao (ORCID: https://orcid.org/0000-0002-5910-7852)
- Tatsuhiro Wada (ORCID: https://orcid.org/0000-0001-9059-1008)
- Yoshitomo Kikuchi (ORCID: https://orcid.org/0000-0002-9512-5417)
- Akio Hiwatashi (ORCID: https://orcid.org/0000-0001-5400-5083)
- Koji Yamashita (ORCID: https://orcid.org/0000-0002-7417-739X)
- Kousei Ishigami (ORCID: https://orcid.org/0000-0001-8107-5570)
- Kazufumi Kikuchi (ORCID: https://orcid.org/0000-0003-1292-1846)
Institutions
- Kyushu University (JP)
- Nagoya City University (JP)
- Kyushu University Hospital (JP)
Publication Details
- Journal
- Magnetic Resonance in Medical Sciences
- Published
- 2024-11-13
- DOI
- https://doi.org/10.2463/mrms.mp.2024-0082
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Japan Society for the Promotion of Science