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. Author manuscript; available in PMC: 2016 Jun 1.
Published in final edited form as: Acad Radiol. 2015 Mar 14;22(6):722–733. doi: 10.1016/j.acra.2015.01.007

Figure 2.

Figure 2

The nonrigid image registration with image subdivision approach was accelerated in a GPU kernel at both voxel and subvolume levels. A subvolume is assigned to one group of threads, which is executed by a GPU multiprocessor, and a voxel within a subvolume is assigned to a thread, which executes on a single core in a multiprocessor. Once an optimized set of subvolume transformations is found, a resampling GPU kernel takes the transforms of the subvolumes, derives a smooth transformation field, and applies it to the floating image to produce a final registered image. The computation for each pixel is independent, permitting the mapping of each voxel to a single thread.