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Abstract #0161

Acceleration of Image Analysis for Liver Perfusion Quantification Using Parallel Computational Techniques

Satyam Ghodasara1, Yong Chen2, Mark Griswold2, Nicole Seiberlich3, and Vikas Gulani2

1Case Western Reserve University School of Medicine, Cleveland, OH, United States, 2Radiology, Case Western Reserve University, Cleveland, OH, United States, 3Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States

To make free-breathing liver perfusion quantification feasible for a clinical timescale, acceleration of both non-Cartesian parallel imaging reconstruction and non-rigid image registration was performed with parallel computing techniques. Our results show massively increased speed (12 minutes compared to >22.5 hours for standard computations) with extremely minor differences in both image quality and perfusion quantification.

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