370-01-007 ISMRM Abstract

Deep Learning-Accelerated versus Standard Contrast-enhanced 3D FSE T1-Weighted Imaging for Detecting Acute Optic Neuritis

Primary: Acquisition & Reconstruction - Image Reconstruction: AI

Secondary: Neuro - Neuroinflammation

370-01-007 · All About Neuroinflammation · Monday, 11 May, 8:20 AM–9:15 AM · Traditional Posters | Exhibition Hall

Keywords: Deep learning Optic nerves Optic neuritis T1-Weighted Contrast-Enhanced MRI 3D FSE

Accepted

Renjie Yang ¹, Ying Liu¹, Weiyin Vivian Liu², Changsheng Liu¹, Liang Li¹, Yunfei Zha¹

¹Renmin Hospital of Wuhan University, Wuhan 430060,China, Wuhan, China

²GE Healthcare, MR Research China, Beijing, China

Presenting Author: Renjie Yang

Synopsis

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References

1. Petzold A, Fraser CL, Abegg M, et al. Diagnosis and classification of optic neuritis. Lancet Neurol. 2022;21(12):1120-1134. doi:10.1016/S1474-4422(22)00200-9 [doi]

2. Lee AG, Johnson MC, Policeni BA, et al. Imaging for neuro-ophthalmic and orbital disease - a review. Clin Exp Ophthalmol. 2009;37(1):30-53. doi:10.1111/j.1442-9071.2008.01822.x [doi]

3. 3.Riederer I, Sollmann N, Mühlau M, et al. Gadolinium-Enhanced 3D T1-Weighted Black-Blood MR Imaging for the Detection of Acute Optic Neuritis. AJNR Am J Neuroradiol. 2020;41(12):2333-2338. doi:10.3174/ajnr.A6807 [doi]

4. Eyre K, Rafiee MJ, Leo M, et al. Clinical utility of a rapid two-dimensional balanced steady-state free precession sequence with deep learning reconstruction. J Cardiovasc Magn Reson. 2024;26(2):101069. doi:10.1016/j.jocmr.2024.101069 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/370-01-007