461-03-010 ISMRM Abstract

Deep Learning Reconstruction with Chemical Shift Correction Enhances Craniofacial Bone Imaging in ZTE MRI

Primary: Musculoskeletal - Osteoarthritis

Secondary: Acquisition & Reconstruction - Artifacts and Correction Strategies

461-03-010 · Artifact Correction Strategies in Brain and Body · Tuesday, 12 May, 1:40 PM–2:35 PM · Digital Posters Row B

Keywords: Deep learning reconstruction Dental MRI Chemical shift correction Temporomandibular joint ZTE

Accepted

Shotaro Fuchibe ^1,2, Naoko Takagawa³, Yuka Uchimoto³, Yuka Uchiyama³, Sagar Mandava⁴, Kanae Moriyama^2,5, maggie fung⁴, Nozomu Uetake^1,2, Shumei Murakami^2,3,6

¹Science and Technology Organization, GE HealthCare, Hino, Japan

²Institute for Radiation Sciences, The University of Osaka, Suita, Japan

³Oral and Maxillofacial Radiology, Graduate School of Dentistry, The University of Osaka, Suita, Japan

⁴MR Clinical Solutions, GE HealthCare, San Ramon, United States of America

⁵MR, Imaging Department, GE HealthCare Japan, Tokyo, Japan

⁶Center for Global Oral Health, The University of Osaka Dental Hospital, Suita, Japan

Presenting Author: Shotaro Fuchibe

Synopsis

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References

1. Aydıngöz, Ü., Yıldız, A. E., & Ergen, F. B. (2022). Zero Echo Time Musculoskeletal MRI: Technique, Optimization, Applications, and Pitfalls. Radiographics : a review publication of the Radiological Society of North America, Inc, 42(5), 1398–1414. https://doi.org/10.1148/rg.220029 [doi]

2. Lee, C., Lee, J., Mandava, S., Fung, M., Choi, Y. J., Jeon, K. J., & Han, S. S. (2025). Deep learning image enhancement for confident diagnosis of TMJ osteoarthritis in zero-TE MR imaging. Dento maxillo facial radiology, 54(4), 302–306. https://doi.org/10.1093/dmfr/twae063 [doi]

3. Ensle, Falko et al. “Enhanced bone assessment of the shoulder using zero-echo time MRI with deep-learning image reconstruction.” Skeletal radiology vol. 53,12 (2024): 2597-2606. doi:10.1007/s00256-024-04690-8 [doi]

4. Mandava, Sagar et al., Deep Learning based chemical shift artifact reduction in Zero Echo Time (ZTE) MRI. Proceedings of the ISMRM 2024, #4428.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/461-03-010