Clemens Bos1, Adri Duijndam1, Julien Sngas2
1Philips Healthcare, Best, Netherlands; 2Philips Research Europe, Hamburg, Germany
High-resolution T2 maps are often biased by noise signal that is rectified and mimics persistent long T2 signal. Maximum likelihood estimation with explicit inclusion of noise statistics in the signal model has the potential to mitigate this bias, and to minimize the variance of the resulting T2-map. Maximum likelihood estimation of T2 was validated on the eurospin reference phantom. T2 values were accurate well within 5%. Maximim likelihood estimation is compatible with phased-array coils and parallel imaging. In conclusion, maximum likelihood estimation has utility for accurate and precise pixel-wise calculation of T2.