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Abstract #4363

An application of parallel imaging and deep-learning reconstructed T2 mapping in nasal cartilage

Weiyin Vivian Liu1, Yufan Gao2, and Yunfei Zha2
1GE Healthcare, Beijing, China, 2Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China

Synopsis

Keywords: Cartilage, CartilageRhinoplasty is a reversible surgery; MRI became a non-invasive post-surgery tracking approach to assess the influence of implant-compressed on nasal cartilage such as mechanical stress, cellular organization and tissue degeneration, etc. Widely-used T2 mapping in musculoskeletal imaging such as knee, shoulder and pelvics takes long acquisition time and thus deters clinical utility. With greater number of multi-channel coils and parallel imaging techniques, scan time shortens but noise enhances. With the additional deep-learning reconstruction, T2 mapping with parallel imaging was stable with small RMS CV% = 0.077% to parallel imaging only image data sets.

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Keywords