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

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
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article

Visualization of the Lingual Nerve with MENSA

Marc Lebel, Sagar Mandava, Florian Wiesinger, Steven Williams et al.
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
Natural Language Processing Techniques
article

Visualization of the Lingual Nerve with MENSA

Marc Lebel, Sagar Mandava, Florian Wiesinger, Steven Williams, A. Sánchez, Tobias Wood, Maggie Fung, Teodora Catargiu, Oliver Pinna
article en

Abstract

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.

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
Openalex Percentile: Top 87%
Natural Language Processing Techniques
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Visualization of the Lingual Nerve with MENSA — Marc Lebel, Sagar Mandava, et al. · 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 (2025) | TGRS Research Map | TGRS