Abstract #4413

Improving T2 and B1 parametric estimation in the brain with multi spin-echo MR and fusion bootstrap moves solver (FBMS)

Andreia C. Freitas¹, Inês Sousa¹, Andreia S. Gaspar¹, Rui P.A.G. Teixeira², Joseph V. Hajnal², and Rita G. Nunes^1,2

¹ISR-Lisboa/LARSyS and Department of Bioengineering, Instituto Superior Técnico – Universidade de Lisboa, Lisbon, Portugal, ²Centre for the Developing Brain, King's College London, London, United Kingdom

Multi spin-echo (MSE) sequences have been prescribed for efficient T2 mapping. This can be further improved by matching to pre-computed echo-modulation curves (EMC). Previous use of this method to estimate T₂ and B₁ resulted in bias in the latter. We investigated the possibility to improve B₁ by taking advantage of its spatial smoothness, using a fusion bootstrap moves solver (FBMS). The two methodologies were compared using a numerical phantom and in-vivo brain data. While T₂ estimation was accurate and equivalent, B₁ accuracy was improved using the FBMS. Future work is required to tune the regularization parameters of the FBMS algorithm.

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