id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_457qjehmmrapfgd2cssmx4aphu	Jason Pukala	Benchmarking of five commercial deformable image registration algorithms for head and neck patients	2016.0	16	.pdf	application/pdf	6860	765	72	Benchmarking of five commercial deformable image registration algorithms for head and neck patients Given two datasets with inherent differences, DIR algorithms are capable of quantifying these differences and minimizing them by creating a new deformed image, the result Because DIR algorithms are based on complex mathematical models, there is no guarantee that the deformation defined by the DVF will any third-party algorithm may then be compared to the known ground truth to obtain the deformation error for each image voxel. Registration error statistics for all of the voxels contained within the spinal cords of the virtual phantoms. Registration error statistics for all of the voxels contained within the left parotids of the virtual phantoms. Registration error statistics for all of the voxels contained within the right parotids of the virtual phantoms. through the ground-truth and test DVFs. 35 Pukala et al.: Benchmarking of DIR algorithms 35	./cache/work_457qjehmmrapfgd2cssmx4aphu.pdf	./txt/work_457qjehmmrapfgd2cssmx4aphu.txt