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Friday, September 30, 2016

High-Performance Deformable Image Registration Algorithms for Manycore Processors

High-Performance Deformable Image Registration Algorithms for Manycore Processors

Author: Shackleford, Kandasamy Sharp [2013-07-29]

High-Performance Deformable Image Registration Algorithms for Manycore Processors

The fundamental step for combining three-dimensional (3D) geometric data is registration, which is the process of aligning two or more images that capture the geometric structure of the same scene, but in their own relative coordinate frames, into a common coordinate frame. The images themselves can be obtained at different times and from dif-ferent viewpoints, using similar or different imaging modalities. Here, we focus on volumetric registration, where the images are pixel or voxel intensities arranged in a regular grid, and the relative alignment of multiple images must be found. Volumetric registration is often used in biomedical imaging, e.g., to track changes in a patient’s anatomy using images taken at different time points or to align stacks of microscopy data in either space or time.