131-01-013 ISMRT Abstract

Comparison of Inner-Ear Visualization Using Standard and AIR Recon DL in Meniere’s Disease

131-01-013 · Lunch, Exhibition & Poster Tour · Saturday, 9 May, 12:30 PM–2:00 PM · Roof Terrace

Keywords: 3.0T magnetic resonance imaging AIR Recon DL Artificial Intelligence (AI) Deep Learning

Accepted

Ilse Patterson ¹, Edward J Peake², Tomasz Matys³, Martin J Graves³

¹MRI, Cambridge University Hospital, Cambridge, United Kingdom

²Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom

³Department of Radiology, University of Cambridge, Cambridge, United Kingdom

Presenting Author: Ilse Patterson

Synopsis

Motivation:

Goals:

Approach:

Results:

Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

References

1. Bernaerts, Anja, De Foer, Bert. Imaging of Ménière Disease, Neuroimaging Clin N Am 29 (2019) 19-28. https://doi.org/10.1016/j.nic.2018.09.002 [doi] [doi]

2. Connor, SEJ, Pai, I. Endolymphatic hydrops magnetic resonance imaging in Ménière’s disease, Clinical Radiology 76 (2021) 76.e1-76. e19

3. Knoll F, Murrell T, Sriram A, et al. Advancing machine learning for MR image reconstruction. Magn Reson Med. 2020;84(6):3054–3070. (PMID: 32304689) [pmid] [pmid]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/131-01-013