Target registration error reduction for percutaneous abdominal intervention

• Published in: Computerized medical imaging and graphics Vol. 87; p. 101839
• Main Authors: Bas, Mateusz, Król, Krzysztof, Spinczyk, Dominik
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.01.2021
• Subjects: 3rd order registration circuits; Algorithms; Breathing motion compensation; Deformation field; Elastic body spline; Humans; Image Processing, Computer-Assisted; Internal Medicine; Other; Reduction of target registration error; DE; TRE; G; I; Vi; RAFFINE; TPS; EBS; X; Trans; US; PBS; Breathing motion compensation; 3rd order registration circuits; rX; RRIGID; Elastic body spline; PSO; FEM; CT; Fx; Deformation field; x,y, z; FRE; Reduction of target registration error; AQUIRC; ν; FLE; rigid transformation; translation vector; x , y , z; Position Based Simulation; speed of a point in the feature space; R A F F I N E; the Poisson coefficient; R R I G I D; V i; F x; transposed vector of scales; T r a n s; r X; Euclidean distance from the cartesian origin; Fiducial Registration Error; Target Registration Error; C T; identity matrix; a collection of independent functions of the deformation field at the point x; Computed Tomography; Finite Elements Method; Ultrasound; Fiducial Localization Error; Assessing Quality Using Image Registration Circuits; affine transformation; basis functions for each point; Differential Evolution; Elastic Body Spline; position in the 3D space; Particle Swarm Optimization; Thin Plate Spline; components of the position of points
• ISSN: 0895-6111; 1879-0771; 1879-0771
• DOI: 10.1016/j.compmedimag.2020.101839

[Display omitted] •Spatio-temporal correspondence between the position before and during treatment of the target point was found•The breathing phase selection is based on minimizing the TRE error in III-tier registration circuits.•The deformation has been modeled using Elastic Body Spline.•Differential Evolution methods was used to find optimal values of Elastic Body Spline parameters.•The presented method works in real time. A real-time methodology that finds spatio-temporal correspondence between the positions of the target point in the pre-treatment 3DCT image and during the procedure was proposed. It based on minimizing the target registration error in III tier registration circuits. Particle Swarm Optimization and Differential Evaluation were used to find optimal values of Elastic Body Spline parameters in the generation of abdominal deformation field. Different transformation classes have been tested: rigid, affine, Thin Plate Spline, Elastic Body Spline. The lowest TRE was obtained for the swarm optimization algorithm - differential evolution for the rigid and affine version: 3.47 and 3.73 mm, respectively.