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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. Nunes1,2

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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