High-Performance Deformable Image Registration for Medical Applications

Abstract

Spline based deformation methods are common in medical imaging due to their robustness and accuracy. These methods require a signi cant amount of computation time in order to obtain a sufficiently accurate spatial deformation between two or more image volumes. This work focuses on comparing the thin-plate spline registration technique against the bspline on a variety of hardware architectures. The architectures in question include the common i5/i7 architecture with single and multiple threads, nVidia's CUDA architecture on the GTX760, and Intel's Xeon Phi architecture.M.S., Computer Engineering -- Drexel University, 201