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Abstract #3159

­­Accelerated reconstruction of T2 maps based on the echo modulation curve signal model, and using PCA and gradient-descent search algorithms

Guy Shpringer1 and Noam Ben-Eliezer1,2,3
1Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel, 2Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 3Center for Advanced Imaging Innovation and Research (CAI2R), New-York University Langone Medical Center, New York, NY, United States

Quantification of T2 values is important for a wide range of research and clinical applications. The Echo modulation Curve Algorithm allows accurate mapping of T2 values at clinical scan-times based on multi-echo spin echo data. Reconstruction, however, is still done offline and requires 10’s of minutes of processing times, thereby hampering the integration of this technique into real-time applications. We present in this work two approaches for accelerating maps reconstruction, based on PCA and gradient descent search algorithm. These offer up to x20 acceleration in reconstruction time, and can be potentially generalized to other reconstruction procedures involving dictionary search.

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