Accelerating 3D nonrigid registration using the Cell Broadband Engine processor
by J. Rohrer
and L. Gong
Registration or alignment of medical images in clinical applications
requires cost-effective high-performance computing. In this paper,
we present a parallel design and implementation of a mutual-information-based multiresolution nonrigid registration algorithm
that takes advantage of the Cell Broadband Engine® (Cell/B.E.)
Architecture by exploiting the different levels of parallelism and
optimization strategies. The new method was tested with a dual-processor
Cell/B.E. processor-based system. The experiments show
an average performance of 1.09 µs per voxel and excellent
scalability, demonstrating real-time or near-real-time performance
for the computationally demanding task of nonrigid image
registration.
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