Target Registration Error minimization involving deformable organs using elastic body splines and Particle Swarm Optimization approach.
暂无分享,去创建一个
[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.