Benchmarking of five commercial deformable image registration algorithms for head and neck patients.

Benchmarking of five commercial deformable image registration algorithms for head and neck patients.
J Appl Clin Med Phys. 2016;17(3):5735
Authors: Pukala J, Johnson PB, Shah AP, Langen KM, Bova FJ, Staton RJ, Mañon RR, Kelly P, Meeks SL
Abstract
Benchmarking is a process in which standardized tests are used to assess system performance. The data produced in the process are important for comparative purposes, particularly when considering the implementation and quality assurance of DIR algorithms. In this work, five commercial DIR algorithms (MIM, Velocity, RayStation, Pinnacle, and Eclipse) were benchmarked using a set of 10 virtual phantoms. The phantoms were previously developed based on CT data collected from real head and neck patients. Each phantom includes a start of treatment CT dataset, an end of treatment CT dataset, and the ground-truth deformation vector field (DVF) which links them together. These virtual phantoms were imported into the commercial systems and registered through a deformable process. The resulting DVFs were compared to the ground-truth DVF to determine the target registration error (TRE) at every voxel within the image set. Real treatment plans were also recalculated on each end of treatment CT dataset and the dose transferred according to both the ground-truth and test DVFs. Dosimetric changes were assessed, and TRE was correlated with changes in the DVH of individual structures. In the first part of th...

Source: Journal of Applied Clinical Medical Physics - May 15, 2016 Category: Physics Authors: Pukala J, Johnson PB, Shah AP, Langen KM, Bova FJ, Staton RJ, Mañon RR, Kelly P, Meeks SL Tags: J Appl Clin Med Phys Source Type: research