Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
365-03-003 ISMRM Abstract

Deep learning reconstruction for accelerated and quality-preserving liver IVIM protocols

Accepted
Anna Casellato1,2, Alessandra Bertoldo1, Marco Castellaro1, Giovanni Morana3, Laura Alabiso3, Angiola Saccomanno3, Robert Grimm 4, Omar Darwish4, Giovanna Nordio2, Davide Piccini2
1Department of Information Engineering, University of Padova, Padova, Italy
2Scientific Collaborations and Strategic Partnerships, Siemens Healthcare S.r.l., Milan, Italy
3Radiological Department, General Hospital Ca Foncello, Treviso, Italy
4Research & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany
Presenting Author: Robert Grimm

Synopsis

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References

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7. Wessling, D., Gassenmaier, S., Olthof, S. C., Benkert, T., Weiland, E., Afat, S., & Preibsch, H. (2023). Novel deep-learning-based diffusion weighted imaging sequence in 1.5 T breast MRI. European journal of radiology, 166, 110948. https://doi.org/10.1016/j.ejrad.2023.110948 [doi]
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10. Heinrich, A., Yücel, S., Böttcher, B., Öner, A., Manzke, M., Klemenz, A. C., Weber, M. A., & Meinel, F. G. (2023). Improved image quality in transcatheter aortic valve implantation planning CT using deep learning-based image reconstruction. Quantitative imaging in medicine and surgery, 13(2), 970–981. https://doi.org/10.21037/qims-22-639 [doi]
11. Open Science Initiative for Perfusion Imaging (OSIPI) (2025, September 19). OSIPI TF2.4: IVIM MRI code collection. GitHub. https://github.com/OSIPI/TF2.4_IVIM-MRI_CodeCollection

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