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.
