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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