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Abstract #4277

Performance of the Steighlitz-McBride Algorithm for Spectral Parameter Estimation from a Rapid Multi-Gradient Echo Acquisition

Brian A. Taylor1, Ken-Pin Hwang2, John D. Hazle1, Roger Jason Stafford1

1Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; 2Applied Science Laboratory, GE Healthcare, Waukesha, WI

The performance of the Stieglitz-McBride algorithm using a limited number of echoes (<16) returned from a fast chemical shift imaging sequence for accurate and precise determination of spectral parameters is investigated in one and two peak systems. The chemical shift and amplitude uncertainties reaching the Cramer-Rao Lpwer Bound over a wide range of SNR values and ETL lengths along with accurate and precise T2* measurements at higher SNR and ETL values. Results were corroborated by phantom measurements. The accuracy and precision of this technique in resolving fat and water shifts make it attractive for monitoring of dynamic processes such as thermal therapies and chemical ablations.