3D high-resolution isotropic multi-contrast knee MRI using 3D mDixon TSE with deep learning constrained Compressed SENSE
Motivation: Knee joint MRI requires m sequences involving multiple planes and with- and without fat suppression, which is time-consuming. Goal(s): Provides detailed cartilage and ligament information in a short period of time and allows multiplanar reconstruction in any plane of any thickness from a single high-resolution isotropic imaging. Approach: CS-AI 3D mDixon TSE images were compared with conventional SENSE and CS images. Results: It indicated that 3D mDixon CS-AI can provide more accurate image information of cartilage and ligaments with high reproducibility and robustness. Impact: This technique may be helpful to further assess knee pathology.
Authors
- Yasuhiro Gotô (ORCID: https://orcid.org/0000-0003-2235-8567)
- Masami Yoneyama
- Yasuyuki Morita (ORCID: https://orcid.org/0009-0000-1354-5083)
- Isao Shiina
- Michinobu Nagao (ORCID: https://orcid.org/0000-0001-6049-8857)
- Yutaka Hamatani
- Mana Kato
- Shuji Sakai
- Kazuo Kodaira
- Takumi Ogawa (ORCID: https://orcid.org/0009-0000-3046-9908)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/5049
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00