Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
452-03-009 / 452-03-009 ISMRM Abstract

Deep Learning–Assisted 3D Iterative Enhancement Improves 3D UTE Lung MRI Quality and Pulmonary Nodule Evaluation

Primary: Body - Lung
Secondary: Analysis Methods - Image Enhancement
452-03-009 · Next-Generation MRI Image Enhancement · Tuesday, 12 May, 4:00 PM–5:36 PM · Power Pitch Theatre 2
452-03-009 · Next-Generation MRI Image Enhancement · Tuesday, 12 May, 4:00 PM–5:36 PM · Power Pitch Theatre 2
Keywords: Deep learning reconstruction Pulmonary nodules Image Quality Enhancement Ultra short echo time MRI
Accepted
xiaoqing Wu 1, Xi Zhu2, Jie Shi3,4, Jing Ye5, Wennuo Huang5, Wei Xia5
1Dalian Medical University, Dalian, China
2Department of Radiology, Northern Jiangsu People’s Hospital, Yangzhou, China
3MR Research, Beijing, China
4MR Research, GE HealthCare, shanghai, China
5Northern Jiangsu People’s Hospital, Yangzhou, China
Presenting Author: xiaoqing Wu

Synopsis

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References

1. Bae K, Jeon KN, Hwang MJ, et al. Comparison of lung imaging using three-dimensional ultrashort echo time and zero echo time sequences: preliminary study. Eur Radiol. 2019;29(5):2253-2262. doi:10.1007/s00330-018-5889-x [doi]
2. Ohno Y, Koyama H, Yoshikawa T, et al. Pulmonary high-resolution ultrashort TE MR imaging: Comparison with thin-section standard- and low-dose computed tomography for the assessment of pulmonary parenchyma diseases. J Magn Reson Imaging. 2016;43(2):512-532. doi:10.1002/jmri.25008 [doi]
3. Yao H, Jia B, Pan X, Sun J. Validation and Feasibility of Ultrafast Cervical Spine MRI Using a Deep Learning-Assisted 3D Iterative Image Enhancement System. J Multidiscip Healthc. 2024;17:2499-2509. Published 2024 May 22. doi:10.2147/JMDH.S465002 [doi]
4. Zhao Y, Xie XL, Zhu X, et al. FOCUS-DWI improves prostate cancer detection through deep learning reconstruction with IQMR technology. Abdom Radiol (NY). Published online August 1, 2025. doi:10.1007/s00261-025-05100-w [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/452-03-009