Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
468-04-011 ISMRM Abstract

Applying Deep Learning Reconstructed T1-Weighted Stack-of-Stars and Respiratory-Resolved 4DZTE to Pediatric Lung Imaging

Accepted
Eugene Milshteyn 1, José de Arcos2, Carolin Pirkl3, Xinzeng Wang1, Seonghwan Yee4, Navaira Shoaib4, Patrick Lenehan4, Devyn Rigsby4, Kendall Clark4, Sebastian Gallo4, Teresa Victoria4, Michael S Gee4, Samantha Harrington4, Pallavi Sagar4
1GE HealthCare, San Ramon, United States of America
2GE HealthCare (Madrid, Spain), Madrid, Spain
3GE Healthcare, Munich, Germany
4Department of Radiology, Massachusetts General Hospital, Boston, United States of America
Presenting Author: Eugene Milshteyn

Synopsis

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References

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7. Pirkl CM, Wang X, Cashen TA, et al. Respiratory-resolved 4D MRI: Further enhancements on the interplay of DL reconstruction and binning strategies. In: Proceedings of the 32nd Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM). Singapore; 2024:2816.
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9. Serai SD, Rapp JB, States LJ, Andronikou S, Ciet P, Lee EY. Pediatric Lung MRI: Currently Available and Emerging Techniques. Am J Roentgenol. 2021;216(3):781-790. doi:10.2214/AJR.20.23104 [doi]
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11. 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.
12. Mandava S, Carl M, Wiesinger F, Fung M, Lebel RM. Deep learning based chemical shift artifact reduction in Zero Echo Time (ZTE) MRI. In: Proceedings of the 32nd Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM). Singapore; 2024:4428.

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