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Abstract #3035

Boosting SNR for sodium bSSFP imaging

Haneefah A Brnawi1,2, Krithika Balaji1, Simran Kukran1, Steve EJ Connor 2,3, Joseph V Hajnal2,4, Neal K Bangerter1,2,5, and Peter J Lally1,2
1Department of Bioengineering, Imperial College London, London, United Kingdom, 2London Collaborative Ultra-High Field MRI System (LoCUS), King’s College London, London, United Kingdom, 3Neuroradiology, King’s College Hospital, London, United Kingdom, 4Biomedical Engineering Department, King's College London, London, United Kingdom, 5Department of Electrical and Computer Engineering, Boise State University, Boise, ID, United States

Synopsis

Keywords: Non-Proton, Non-Proton

Motivation: Sodium MRI (23Na-MRI) holds significant potential, but its clinical use is still limited due to challenges arising from low signal-to-noise ratio (SNR). Balanced steady-state free precession (bSSFP) sequences are particularly suited for 23Na-MRI, being highly SNR efficient, but there are opportunities to extract more signal components.

Goal(s): We aim to improve SNR in sodium bSSFP acquisitions and produce additional tissue contrasts.

Approach: We propose a strategy to extract additional information from a series of phase-cycled bSSFP images using different linear combinations.

Results: Three different signal components were extracted from phase-cycled bSSFP data and combined. Results showed an SNR boost in fluid.

Impact: This offers a simple way to improve the SNR in sodium MRI images, with potential applications being pathologies that alter biofluid sodium concentrations.

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Keywords