title: The level of detail required in a deformable phantom to accurately perform quality assurance of deformable image registration.
abstract: The primary purpose of the study was to determine how detailed deformable image registration (DIR) phantoms need to adequately simulate human anatomy and accurately assess the quality of DIR algorithms. In particular, how many distinct tissues are required in a phantom to simulate complex human anatomy? Pelvis and head-and-neck patient CT images were used for this study as virtual phantoms. Two data sets from each site were analyzed. The virtual phantoms were warped to create two pairs consisting of undeformed and deformed images. Otsu's method was employed to create additional segmented image pairs of n distinct soft tissue CT number ranges (fat, muscle, etc). A realistic noise image was added to each image. Deformations were applied in MIM Software (MIM) and Velocity deformable multi-pass (DMP) and compared with the known warping. Images with more simulated tissue levels exhibit more contrast, enabling more accurate results. Deformation error (magnitude of the vector difference between known and predicted deformation) was used as a metric to evaluate how many CT number gray levels are needed for a phantom to serve as a realistic patient proxy. Stabilization of the mean deformation error was reached by three soft tissue levels for Velocity DMP and MIM, though MIM exhibited a persisting difference in accuracy between the discrete images and the unprocessed image pair. A minimum detail of three levels allows a realistic patient proxy for use with Velocity and MIM deformation algorithms.
authors: University of Texas Health Science Center-San Antonio, San Antonio, TX 78229, USA.
authors: Daniel L
authors: DL
authors: Saenz
authors: Hojin
authors: H
authors: Kim
authors: Josephine
authors: J
authors: Chen
authors: Sotirios
authors: S
authors: Stathakis
authors: Neil
authors: N
authors: Kirby
mesh_terms: D000465:Algorithms; D006258:Head and Neck Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D010388:Pelvis / Q000000981:diagnostic imaging*; D019047:Phantoms, Imaging; D011785:Quality Assurance, Health Care / Q000379:methods*; D012984:Software; D014057:Tomography, X-Ray Computed / Q000379:methods*