Validation for 2D/3D registration. II: The comparison of intensity- and gradient-based merit functions using a new gold standard data set.
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Bostjan Likar | Franjo Pernus | Wolfgang Birkfellner | Michael Figl | Helmar Bergmann | Primoz Markelj | Supriyanto Ardjo Pawiro | Christoph Bloch | Jakob Spoerk | Christelle Gendrin | M. Figl | W. Birkfellner | H. Bergmann | S. Pawiro | P. Markelj | F. Pernus | C. Gendrin | C. Weber | B. Likar | C. Bloch | Christoph Weber | Jakob Spoerk
[1] T. Peters,et al. 2D-3D registration of coronary angiograms for cardiac procedure planning and guidance. , 2005, Medical physics.
[2] Graeme P. Penney,et al. Standardized evaluation methodology for 2-D-3-D registration , 2005, IEEE Transactions on Medical Imaging.
[3] Bostjan Likar,et al. A protocol for evaluation of similarity measures for rigid registration , 2006, IEEE Transactions on Medical Imaging.
[4] Xavier Pennec,et al. Validation of medical image processing in image-guided therapy , 2002 .
[5] L. Joskowicz,et al. Gradient-based 2-D/3-D rigid registration of fluoroscopic X-ray to CT , 2003, IEEE Transactions on Medical Imaging.
[6] P. Jannin,et al. Assessment of Image-Guided Interventions , 2008 .
[7] Fang-Fang Yin,et al. Comparison of Similarity Measures for Rigid-body CT/Dual X-ray Image Registrations , 2007, Technology in cancer research & treatment.
[8] Thomas Theußl,et al. Isosurfaces on Optimal Regular Samples , 2003, VisSym.
[9] Frank Sauer,et al. Automatic registration of portal images and volumetric CT for patient positioning in radiation therapy , 2006, Medical Image Anal..
[10] Michael I. Miga,et al. Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling , 2009 .
[11] Pierre Jannin,et al. Validation in medical image processing. , 2017 .
[12] Wolfgang Birkfellner,et al. A faster method for 3D/2D medical image registration—a simulation study , 2003, Physics in medicine and biology.
[13] Guy Marchal,et al. Multimodality image registration by maximization of mutual information , 1997, IEEE Transactions on Medical Imaging.
[14] Richard D. Komistek,et al. A robust method for registration of three-dimensional knee implant models to two-dimensional fluoroscopy images , 2003, IEEE Transactions on Medical Imaging.
[15] Nassir Navab,et al. Planning and intraoperative visualization of liver catheterizations: new CTA protocol and 2D-3D registration method. , 2007, Academic radiology.
[16] Peter Kazanzides,et al. Providing visual information to validate 2-D to 3-D registration , 2000, Medical Image Anal..
[17] Serge Miguet,et al. Patient setup error measurement using 3D intensity-based image registration techniques. , 2003, International journal of radiation oncology, biology, physics.
[18] Nicholas Ayache,et al. The Correlation Ratio as a New Similarity Measure for Multimodal Image Registration , 1998, MICCAI.
[19] D L Hill,et al. Validation of a two- to three-dimensional registration algorithm for aligning preoperative CT images and intraoperative fluoroscopy images. , 2001, Medical physics.
[20] William Hoff,et al. In vivo determination of normal and anterior cruciate ligament-deficient knee kinematics. , 2005, Journal of biomechanics.
[21] Nassir Navab,et al. 2D/3D registration based on volume gradients , 2005, SPIE Medical Imaging.
[22] Leo Joskowicz,et al. Registration of a CT-like atlas to fluoroscopic X-ray images using intensity correspondences , 2008, International Journal of Computer Assisted Radiology and Surgery.
[23] T. Peters. Image-guidance for surgical procedures , 2006, Physics in medicine and biology.
[24] R L Galloway,et al. The process and development of image-guided procedures. , 2001, Annual review of biomedical engineering.
[25] Thomas S. Huang,et al. Image processing , 1971 .
[26] Boštjan Likar,et al. “Gold standard” data for evaluation and comparison of 3D/2D registration methods , 2004, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.
[27] D. R. Fish,et al. A patient-to-computed-tomography image registration method based on digitally reconstructed radiographs. , 1994, Medical physics.
[28] Franjo Pernus,et al. Towards real-time 2D/3D registration for organ motion monitoring in image-guided radiation therapy , 2010, Medical Imaging.
[29] Kawal S. Rhode,et al. Intensity-based 2-D - 3-D registration of cerebral angiograms , 2003, IEEE Transactions on Medical Imaging.
[30] Bostjan Likar,et al. Robust Gradient-Based 3-D/2-D Registration of CT and MR to X-Ray Images , 2008, IEEE Transactions on Medical Imaging.
[31] M. Figl,et al. Validation for 2D/3D registration. I: A new gold standard data set. , 2011, Medical physics.
[32] Frank Deinzer,et al. Extended Global Optimization Strategy for Rigid 2D/3D Image Registration , 2007, CAIP.
[33] K. Cleary,et al. Image-guided interventions : technology and applications , 2008 .
[34] Nicholas Ayache,et al. 3D-2D Projective Registration of Free-Form Curves and Surfaces , 1997, Comput. Vis. Image Underst..
[35] Steven D Chang,et al. A STUDY OF THE ACCURACY OF CYBERKNIFE SPINAL RADIOSURGERY USING SKELETAL STRUCTURE TRACKING , 2007, Neurosurgery.
[36] Tomaz Slivnik,et al. 3-D/2-D registration of CT and MR to X-ray images , 2003, IEEE Transactions on Medical Imaging.
[37] Jinkoo Kim,et al. Effects of x-ray and CT image enhancements on the robustness and accuracy of a rigid 3D/2D image registration. , 2005, Medical physics.
[38] William H. Press,et al. Numerical Recipes in C, 2nd Edition , 1992 .
[39] Reshma Munbodh,et al. 2D-3D registration for prostate radiation therapy based on a statistical model of transmission images. , 2009, Medical physics.
[40] Pierre Jannin,et al. Model for defining and reporting reference-based validation protocols in medical image processing , 2006, International Journal of Computer Assisted Radiology and Surgery.
[41] Wolfgang Birkfellner,et al. Wobbled splatting—a fast perspective volume rendering method for simulation of x-ray images from CT , 2005, Physics in medicine and biology.
[42] Jürgen Weese,et al. A comparison of similarity measures for use in 2-D-3-D medical image registration , 1998, IEEE Transactions on Medical Imaging.
[43] Peter Kazanzides,et al. Anatomy-based registration of CT-scan and intraoperative X-ray images for guiding a surgical robot , 1998, IEEE Transactions on Medical Imaging.
[44] Richard Szeliski,et al. Recovering the Position and Orientation of Free-Form Objects from Image Contours Using 3D Distance Maps , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[45] Boštjan Likar,et al. Standardized evaluation methodology for 3D/2D registration based on the Visible Human data set. , 2010, Medical physics.
[46] Bostjan Likar,et al. A review of 3D/2D registration methods for image-guided interventions , 2012, Medical Image Anal..
[47] G. Kuduvalli,et al. A fast, accurate, and automatic 2D-3D image registration for image-guided cranial radiosurgery. , 2008, Medical physics.
[48] Jay B. West,et al. Predicting error in rigid-body point-based registration , 1998, IEEE Transactions on Medical Imaging.
[49] David J. Hawkes,et al. A comparison of a similarity-based and a feature-based 2-D-3-D registration method for neurointerventional use , 2005, IEEE Transactions on Medical Imaging.
[50] J. Kettenbach,et al. Rigid 2D/3D slice-to-volume registration and its application on fluoroscopic CT images. , 2006, Medical physics.
[51] Wolfgang Birkfellner,et al. Fast DRR splat rendering using common consumer graphics hardware. , 2007, Medical physics.
[52] S. K. Mishra,et al. Nonconvex Optimization and Its Applications , 2008 .
[53] J. Kettenbach,et al. Stochastic rank correlation: a robust merit function for 2D/3D registration of image data obtained at different energies. , 2009, Medical physics.
[54] Jakob Spork,et al. High-performance GPU based Rendering for Real-Time, rigid 2D/3D-Image Registration in Radiation Oncology , 2011 .