Target registration error minimization for minimally invasive interventions involving deformable organs. (April 2018)

• Record Type: Journal Article
• Authors: Fabian, Sylwester; Spinczyk, Dominik
• Is Part Of: Computerized medical imaging and graphics. Volume 65(2018)
• Page Start: 4
• Page End: 10
• Publication Date: 2018-04
• Subjects: FLE fiducial localization error -- FRE fiducial registration error -- H0 null hypothesis -- H1 alternative hypothesis -- targetestim the estimated position of the target point -- targetreal the real position of the target point -- TRE target registration error -- TREestim value of TRE estimator -- TREreal_TPS measured value of TRE using the deformation field based on thin-plate spline -- TREreal_rigid measured value of TRE using the rigid transformation registration; Target registration error minimization -- Minimally invasive deformable organ surgery -- Deformation compensation -- Breathing motion compensation; 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.2017.01.008
• Languages: English
• ISSNs: 0895-6111

Abstract

Graphical abstract: Highlights: Minimization of target registration error for minimally invasive intervention was achieved. Usability of thin template splines to minimize target registration error was presented. Semi-automatic real time method was implemented, which integrate specially designed marker. Abstract: Precise positioning of the target point during minimally invasive procedures is a major challenge associated with the use of image-based navigation systems. No significant dependence between fiducial registration error (FRE) and target registration error (TRE) was found. However, this investigation demonstrated the utility of using thin plate splines (TPS) and marker observation to monitor FRE during respiration to estimate target position based on the deformation field for minimally invasive procedures in deformable regions. The proposed methodology was verified via experiments involving 21 patients diagnosed with liver tumors. This method has been developed for real-time use while performing operations.