Target Registration Error minimization involving deformable organs using elastic body splines and Particle Swarm Optimization approach.

In minimally invasive surgery one of the main challenges is the precise location of the target during the intervention. The aim of the study is to present usability of elastic body splines (EBS) to minimize TRE error. The method to find the desired EBS parameters values is presented with usage of Particle Swarm optimization approach. This ability of TRE minimization has been achieved for the respiratory phases corresponding to minimum FRE for abdominal (especially liver) surgery. The proposed methodology was verified during experiments conducted on 21 patients diagnosed with liver tumors. This method has been developed to perform operations in real-time on a standard workstation.

[1]  Dominik Spinczyk,et al.  Target registration error minimization for minimally invasive interventions involving deformable organs , 2017, Comput. Medical Imaging Graph..

[2]  Lena Maier-Hein,et al.  Soft tissue navigation using needle-shaped markers: evaluation of navigation aid tracking accuracy and CT registration , 2007, SPIE Medical Imaging.

[3]  Kai Yang,et al.  Interventional navigation systems for treatment of unresectable liver tumor , 2010, Medical & Biological Engineering & Computing.

[4]  Berthold K. P. Horn,et al.  Closed-form solution of absolute orientation using orthonormal matrices , 1988 .

[5]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[6]  Scott T. Grafton,et al.  Automated image registration: I. General methods and intrasubject, intramodality validation. , 1998, Journal of computer assisted tomography.

[7]  Benoit M. Dawant,et al.  Estimation of rigid-body registration quality using registration networks , 2012, Medical Imaging.

[8]  Dominik Spinczyk,et al.  Methods for abdominal respiratory motion tracking , 2014, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.

[9]  Jay B. West,et al.  The distribution of target registration error in rigid-body point-based registration , 2001, IEEE Transactions on Medical Imaging.

[10]  Fred L. Bookstein,et al.  Principal Warps: Thin-Plate Splines and the Decomposition of Deformations , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  Dominik Spinczyk,et al.  Continuous registration based on computed tomography for breathing motion compensation , 2013, Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques.

[12]  Marco Nolden,et al.  Real-time image guidance in laparoscopic liver surgery: first clinical experience with a guidance system based on intraoperative CT imaging , 2013, Surgical Endoscopy.

[13]  Aaron Fenster,et al.  A 3D ultrasound scanning system for image guided liver interventions. , 2013, Medical physics.

[14]  Dominik Spinczyk,et al.  Image-based guidance of percutaneous abdomen intervention based on markers for semi-automatic rigid registration , 2014, Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques.

[15]  David J. Hawkes,et al.  Voxel Similarity Measures for 3D Serial MR Brain Image Registration , 2000, IEEE Trans. Medical Imaging.

[16]  J. Michael Fitzpatrick,et al.  Fiducial registration error and target registration error are uncorrelated , 2009, Medical Imaging.

[17]  A. Khotanzad,et al.  A physics-based coordinate transformation for 3-D image matching , 1997, IEEE Transactions on Medical Imaging.

[18]  Dominik Spinczyk,et al.  Preparing the anatomical model for ablation of unresectable liver tumor , 2014, Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques.

[19]  Benoit M. Dawant,et al.  Estimation and Reduction of Target Registration Error , 2012, MICCAI.

[20]  John Fitzpatrick Detecting Failure, Assessing Success , 2001 .

[21]  Dominik Spinczyk,et al.  Towards the clinical integration of an image-guided navigation system for percutaneous liver tumor ablation using freehand 2D ultrasound images , 2015, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.

[22]  Jay B. West,et al.  Predicting error in rigid-body point-based registration , 1998, IEEE Transactions on Medical Imaging.

[23]  Lena Maier-Hein,et al.  On combining internal and external fiducials for liver motion compensation , 2008, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.