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Another promising approach could be more advanced imaging methods accompanied by technical improvement by means of the advanced image registration algorithm, for instance, tensor-based morphometry using DARTEL algorithm [ 46] for more sensitive detection of subtle and early neuroanatomical alterations in future longitudinal studies.
A fast diffeomorphic image registration algorithm.
Multiple consecutive deformation fields, calculated with Demons deformable image registration algorithm, were extrapolated on a voxel-by-voxel basis.
A 3-dimensional-2-dimensional (3D-2D) image registration algorithm, "LevelCheck," was used to automatically label vertebrae in intraoperative mobile radiographs obtained during spine surgery.
A 3D multi-resolution optical flow deformable image registration algorithm was used to quantify the volumetric cardiovascular displacements for known cardiac outputs.
A 3D multiresolution optical flow deformable image registration algorithm was used to quantify the difference in tissue position between the end-diastolic cardiac phase and the remaining cardiac phases.
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Quantitative evaluation of image registration algorithms is a difficult and under-addressed issue due to the lack of a reference standard in most registration problems.
This book develops highly data-parallel image registration algorithms suitable for use on modern multicore architectures, including graphics processing units (GPUs).
Deformable image registration algorithms are the cornerstones of these strategies, but a better understanding of their limits of validity is required before adaptive radiotherapy can be safely introduced to daily practice.
Several image registration algorithms have been developed to achieve this goal [24, 30 34].
Image registration algorithms are frequently used to align the reconstructed brain PET frames to remove subject head motion.
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