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.
This abstract and the presentation materials are available to members only;
a login is required.
