Abstract #1529

Transverse Relaxometry with B1+ Constrained Stimulated Echo Correction

Reza Basiri¹, Marc Lebel², and Paolo Federico³

¹Biomedical Enginnering, University of Calgary, Calgary, AB, Canada, ²Alberta Children's Hospital Research Institute, Calgary, AB, Canada, ³Foothills Hospital, Calgary, AB, Canada

Quantitative T₂ mapping provides diagnostic capabilities complementing standard qualitative imaging. However, conventional fitting algorithms to estimate T₂ are prone to bias. In this work, we propose a fitting method that remains applicable to existing datasets while addressing many of the imperfections and shortcomings of current methods. Our proposed method is an extension of stimulated echo correction that highly constrains the estimated transmit field. It was evaluated using simulated and experimental data. We found that variance in the T₂ estimate could be reduced by ~25% in certainly realistic conditions while maintaining full accuracy relative to the current stimulated echo corrected fit. Transverse relaxometry, a quantitative T₂ mapping has shown superior diagnostic capabilities compare with qualitative maps for neurological diseases. However, the conventional fitting Quantitative T₂ mapping provides diagnostic capabilities complementing standard qualitative imaging. However, conventional fitting algorithms to estimate T₂ are prone to bias. In this work, we propose a fitting method that remains applicable to existing datasets while addressing many of the imperfections and shortcomings of current methods. Our proposed method is an extension of stimulated echo correction that highly constrains the estimated transmit field. It was evaluated using simulated and experimental data. We found that variance in the T₂ estimate could be reduced by ~25% in certainly realistic conditions while maintaining full accuracy relative to the current stimulated echo corrected fit.

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