Target registration error reduction for percutaneous abdominal intervention. (January 2021)

• Record Type: Journal Article
• Authors: Bas, Mateusz; Król, Krzysztof; Spinczyk, Dominik
• Is Part Of: Computerized medical imaging and graphics. Volume 87(2021)
• Publication Date: 2021-01
• Subjects: AQUIRC Assessing Quality Using Image Registration Circuits -- CT transposed vector of scales -- CT Computed Tomography -- DE Differential Evolution -- EBS Elastic Body Spline -- Fx a collection of independent functions of the deformation field at the point x -- FEM Finite Elements Method -- FLE Fiducial Localization Error -- FRE Fiducial Registration Error -- G basis functions for each point -- I identity matrix -- PBS Position Based Simulation -- PSO Particle Swarm Optimization -- RRIGID rigid transformation -- RAFFINE affine transformation -- rX Euclidean distance from the cartesian origin -- TPS Thin Plate Spline -- Trans translation vector -- TRE Target Registration Error -- US Ultrasound -- Vi speed of a point in the feature space -- ν the Poisson coefficient -- X position in the 3D space -- x, y, z components of the position of points; Reduction of target registration error -- Breathing motion compensation -- 3rd order registration circuits -- Deformation field -- Elastic body spline; Diagnostic imaging -- Periodicals; Imaging systems in medicine -- Periodicals; Diagnosis, Radioscopic -- Data processing -- Periodicals; Diagnostic Imaging -- Periodicals; Imagerie pour le diagnostic -- Périodiques; Diagnostic imaging; Periodicals; Electronic journals; Electronic journals; 616.0754
• DOI: 10.1016/j.compmedimag.2020.101839
• Languages: English
• ISSNs: 0895-6111

Abstract

Graphical abstract: Highlights: 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. Abstract: 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.