431-03-017 / 431-03-017 ISMRM Abstract

The Value of High-resolution TOF-MRA with Deep Learning Reconstruction in Improving Image Quality of Moyamoya Vessels

Primary: Acquisition & Reconstruction - Image Reconstruction: AI

Secondary: Neuro - Blood Vessels

431-03-017 · Image Reconstruction · Tuesday, 12 May, 4:00 PM–5:36 PM · Roof Terrace

Keywords: Moyamoya Deep learning reconstruction Time of flight magnetic resonance angiography

Accepted

冬雪李 ¹, Wei Sun¹, Xiao-Yuan Fan¹, Yun Wang¹, Hui You¹, Yifei Zhang², Joonsung Lee³, Feng Feng¹

¹Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

²MR Research, GE Healthcare, MR Research China, Beijing, Beijin, China

³GE HealthCare, San Ramon, United States of America

Presenting Author: 冬雪李

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References

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2. Yamamoto T , Okada T , Fushimi Y ,et al. Magnetic resonance angiography with compressed sensing: An evaluation of moyamoya disease. PLoS One, 2018, 13(1):e0189493. doi:10.1371/journal.pone.0189493.PMID: 29351284 [doi] [pmid]

3. Qi Duan, Jinhao L , Ziqi L ,et al. Noninvasive Assessment of the Risk Features of Hemorrhage in Moyamoya Disease Using 7T MRI.Neurology. 2025 Jun 10;104(11):e213617. doi: 10.1212/WNL.0000000000213617.PMID: 40397837 [doi] [pmid]

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7. Eidex Z, Wang J, Safari M, et al. High-resolution 3T to 7T ADC map synthesis with a hybrid CNN-transformer model. Med Phys,2024, 51(6): 4380-4388. doi: 10.1002/mp.17079.PMID: 38630982 [doi] [pmid]

8. Duan C H, Bian X B, Cheng K, et al. Synthesized 7T MPRAGE from 3T MPRAGE using generative adversarial network and validation in clinical brain imaging: a feasibility study. J Magn Reson Imaging, 2024, 59(5): 1620-1629. doi: 10.1002/jmri.28944. PMID: 37559435. [doi] [pmid]

9. Jeon YH, Park C, Lee KH ,et al. Accelerated intracranial time-of-flight MR angiography with image-based deep learning image enhancement reduces scan times and improves image quality at 3-T and 1.5-T. Neuroradiology. 2025 May;67(5):1203-1213. doi:10.1007/s00234-025-03564-7.PMID: 40095006 [doi] [pmid]

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http://echo.ismrm.org/p/ISMRM2026/431-03-017