Visualization of the Lingual Nerve with MENSA
Motivation: Standard sequences and coils do not provide the specific contrasts and high resolution needed for precise visualization of lingual nerves, which is essential to prevent injury during maxillofacial surgery. Goal(s): To image lingual nerves and surrounding tissues at a clinical field strength. Approach: We used high-resolution MENSA Nerve and oZTEo sequences, compared two different coils, and reconstructions with and without AirRecon DL denoising. Results: We could clearly distinguish the lingual nerve from surrounding tissues, with highest SNR and image quality achieved using the flexible coil and AirReconDL. Impact: Enhanced visualization of the lingual nerve will assist with diagnosis of damage and guide safer planning of maxillofacial surgery, reducing the risk of further damage.
Authors
- Marc Lebel (ORCID: https://orcid.org/0000-0002-6015-5499)
- Sagar Mandava (ORCID: https://orcid.org/0000-0003-3425-7579)
- Florian Wiesinger (ORCID: https://orcid.org/0000-0002-5597-6057)
- Steven Williams (ORCID: https://orcid.org/0000-0003-4299-1941)
- A. Sánchez (ORCID: https://orcid.org/0000-0002-5431-6989)
- Tobias Wood (ORCID: https://orcid.org/0000-0001-7640-5520)
- Maggie Fung
- Teodora Catargiu
- Oliver Pinna
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
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/2962
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00