Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
431-03-016 / 431-03-016 ISMRM Abstract

Feasibility of Low-Field UTE MRI with Diffusion-Based Deep Learning Reconstruction for Craniofacial Imaging

Accepted
Karen J Kettless1, Sukeshana Srivastav2, Stefan Sommer3,4, Jonas Petersen 5, Rubens Spin-Neto2
1Siemens Healthcare A/S, Ballerup, Denmark
2Section for Oral Radiology and Endodontics, Aarhus, Denmark
3Swiss Center for Musculoskeletal Imaging (SCMI), Zurich, Switzerland
4Swiss Innovation Hub, Siemens Healthineers International AG, Switzerland
5Medical Image and Data Analysis (MIDAS.lab), Department of Diagnostic and Interventional Radiology, University Hospital Tuebingen, Tuebingen, Germany
Presenting Author: Jonas Petersen

Synopsis

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References

1. Institute of Digital Dentistry. (2024). Dentsply Sirona Collaborates with Siemens Healthineers on Dental MRI for Improved Diagnostics. https://instituteofdigitaldentistry.com/news/dentsply-sirona-collaborates-with-siemens-healthineers-on-dental-mri-for-improved-diagnostics
2. Lübbers HT, Bornstein MM, Dagassan-Berndt D, et al. Revised consensus guidelines for the use of cone-beam computed tomography/digital volume tomography. Swiss Dent J. 2024;134(3):123–132.
3. Petersen, J., Grodzki, D., Küstner, T., Sommer, S. «Memory-Efficient Image Reconstruction using Diffusion Models for Accelerated 3D non-Cartesian UTE imaging.” Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) (2025)

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