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Abstract #5049

3D high-resolution isotropic multi-contrast knee MRI using 3D mDixon TSE with deep learning constrained Compressed SENSE

Yasuyuki Morita1, Michinobu Nagao1, Masami Yoneyama2, Mana Kato1, Takumi Ogawa1, Kazuo Kodaira1, Yutaka Hamatani1, Isao Shiina1, Yasuhiro Goto1, and Shuji Sakai1
1Tokyo Women's Medical University Hospital, Tokyo, Japan, 2Philips Japan, Tokyo, Japan

Synopsis

Keywords: Cartilage, Artifacts

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.

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Keywords

cartilagekneenoise