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Abstract #1967

In vivo T1-mapping using Open-MOLLI in GE scanners

Andreia S Gaspar1, Paul JC Hughes2, Jon-Fredrik Nielsen3, Neil J Stewart2, James M Wild2, Teresa M Correia4,5, and Rita G Nunes1
1Instituto de Sistemas e Robótica–Lisboa and Departamento de Bioengenharia, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal, 2POLARIS, Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, United Kingdom, 3Functional MRI Laboratory, Department of Radiology, University of Michigan, Functional MRI Laboratory, Department of Radiology, MI, United States, 4Centre of Marine Sciences UAlg, Universidade do Algarve, Faro, Portugal, 5School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom

Synopsis

Keywords: Quantitative Imaging, Relaxometry, Open-Source; T1 mapping; Myocardial; MOLLI

Motivation: The open-source myocardial T1 mapping (Open-MOLLI) sequence allows the application of the same methodology in different settings for improved reproducibility.

Goal(s): We aim to test Open-MOLLI, originally developed on a Siemens system, on a GE scanner.

Approach: The Open-MOLLI sequence was adapted to a 3T GE vendor system, and was acquired in 2 subjects. T1 of one axial slice of the brain was estimated, and white matter (WM) and grey matter (GM) T1 values were compared with the literature.

Results: Open-MOLLI was successfully adapted to the GE system, allowing to estimate T1-values that are consistent with literature values for GM and WM.

Impact: The open-source myocardial T1 mapping (Open-MOLLI) was successfully adapted and tested on a GE Signa 3T PET-MR scanner. The sequence is now ready to be applied in inter-scanner reproducibility brain studies. Triggering will be added next for cardiac applications.

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