Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
562-04-003 ISMRM Abstract

Deep Learning Reconstruction in Free Breathing Pediatric Abdominal MRI: Application to Multiband DWI and LAVA-Star

Primary: Pediatrics - Body
Secondary: Acquisition & Reconstruction - Image Reconstruction: AI
562-04-003 · AI/DL in Pediatrics · Wednesday, 13 May, 2:35 PM–3:30 PM · Digital Posters Row C
Keywords: Free breathing Simultaneous Multi-slice (SMS) Stack-of-Stars Diffusion-weighted imaging (DWI) Pediatric abdomen
Accepted
Eugene Milshteyn 1, Sergio Valencia2, Xinzeng Wang1, Patricia Lan3, Arnaud Guidon1, Teresa Victoria2, Michael Gee2
1GE HealthCare, San Ramon, United States of America
2Department of Radiology, Massachusetts General Hospital, Boston, United States of America
3GE HealthCare, Menlo Park, United States of America
Presenting Author: Eugene Milshteyn

Synopsis

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References

1. Chavhan GB, Babyn PS, Vasanawala SS. Abdominal MR imaging in children: motion compensation, sequence optimization, and protocol organization. Radiographics. 2013;33(3):703-719. doi:10.1148/rg.333125027 [doi]
2. Arora V, Kaur T, Singh K. The role of magnetic resonance imaging in acute abdominal pain in paediatric age group. Egyptian Journal of Radiology and Nuclear Medicine. 2022;53(1):36. doi:10.1186/s43055-022-00709-z [doi]
3. Kozak BM, Jaimes C, Kirsch J, Gee MS. MRI Techniques to Decrease Imaging Times in Children. Radiographics. 2020;40(2):485-502. doi:10.1148/rg.2020190112 [doi]
4. Syed A, Jayapal P. Free Breathing Simultaneous Multislice Diffusion Weighted Imaging of the Pediatric Abdomen Reduces Scan Time Without Sacrificing Image Quality. In: Toronto, ON, Canada; 2023:2137. doi:10.58530/2023/2137 [doi]
5. Block KT, Chandarana H, Milla S, et al. Towards Routine Clinical Use of Radial Stack-of-Stars 3D Gradient-Echo Sequences for Reducing Motion Sensitivity. J Korean Soc Magn Reson Med. 2014;18(2):87. doi:10.13104/jksmrm.2014.18.2.87 [doi]
6. Wang X, Lee Y, Lee J, et al. Convolutional Neural Network based Stack-of-Star Imaging with Noise and Artifacts Removal. In: Proceedings of the 31st Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM). Toronto, Ontario, Canada; 2023:4926.
7. Wang, Xinzeng, Lan, Patricia, Guidon, Arnaud. DL-based Phase Correction Enables Robust Real Diffusion-Weighted MRI with Increased Diffusion Contrast. In: Proceedings of the 32nd Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM). Singapore; 2024:2414.
8. Rudin LI, Osher S, Fatemi E. Nonlinear total variation based noise removal algorithms ☆. Physica D: Nonlinear Phenomena. 1992;60(1-4):259-268.
9. Block KT, Uecker M, Frahm J. Suppression of MRI Truncation Artifacts Using Total Variation Constrained Data Extrapolation. International Journal of Biomedical Imaging. 2008;2008:184123.
10. Ruslau MFV, Pratama RA, Asmal S. Edge detection in noisy images with different edge types. IOP Conf Series: Earth and Environmental Science. 2019;343.

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http://echo.ismrm.org/p/ISMRM2026/562-04-003