360-02-009 ISMRM Abstract

Improved Neuromelanin Imaging (NMI) at 3T using Deep Learning Reconstruction: Neuroradiological Evaluation for Clinical Use

Primary: Acquisition & Reconstruction - Image Reconstruction: AI

Secondary: Neuro - Parkinson's Disease

360-02-009 · Machine Learning for Image Reconstruction · Monday, 11 May, 9:15 AM–10:10 AM · Digital Posters Row A

Keywords: Deep learning reconstruction Substantia Nigra Locus Coeruleus Neuromelanin-Sensitive MRI Deep Resolve Boost

Accepted

Mohammed Elgwely^1,2, Anastasia Papadaki^1,2, Karyn E Chappell ^1,2,3, Karin Shmueli⁴, Iulius Dragonu⁵, Christina Triantafyllou⁵, John S Thornton^1,2, David L Thomas¹, Tarek Yousry^1,2

¹Neuroradiological Academic Unit, Department of Translational Neuroscience and Stroke, Queen Square Institute of Neurology, University College London, London, United Kingdom

²Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, London, United Kingdom

³Department of Translational Neuroscience and Stroke, University College London, London, United Kingdom

⁴Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom

⁵Research & Collaborations GB&I, Siemens Healthcare Limited, Camberley, United Kingdom

Presenting Author: Karyn E Chappell

Synopsis

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References

1. Haller, S., et al., Clinical MRI Biomarkers to Differentiate Parkinson Disease from Its Mimics. Radiology, 2025. 317(1): p. e242044.

2. Filimontseva, A., et al., Neuromelanin and selective neuronal vulnerability to Parkinson’s disease. Trends in Neurosciences, 2025. 48(6): p. 445-459.

3. Burade, A., et al., Comparative diagnostic efficacy of neuromelanin MRI vs. dopamine transporter (DAT) imaging in Parkinson's disease: A systematic review. Parkinsonism Relat Disord, 2025. 137: p. 107898.

4. Lakhani, D.A., et al., Diagnostic utility of 7T neuromelanin imaging of the substantia nigra in Parkinson’s disease. npj Parkinson's Disease, 2024. 10(1): p. 13.

5. Martínez, M., et al., Brainstem neuromelanin and iron MRI reveals a precise signature for idiopathic and LRRK2 Parkinson’s disease. npj Parkinson's Disease, 2023. 9(1): p. 62.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/360-02-009