Fast generation of digitally reconstructed radiograph through an efficient preprocessing of ray attenuation values
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[1] Dimitris N. Metaxas,et al. 3D/2D image registration using weighted histogram of gradient directions , 2015, Medical Imaging.
[2] 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.
[3] D. R. Fish,et al. A patient-to-computed-tomography image registration method based on digitally reconstructed radiographs. , 1994, Medical physics.
[4] M van Herk,et al. Automatic three-dimensional inspection of patient setup in radiation therapy using portal images, simulator images, and computed tomography data. , 1996, Medical physics.
[5] Daniel Rueckert,et al. Fast generation of digitally reconstructed radiographs using attenuation fields with application to 2D-3D image registration , 2005, IEEE Transactions on Medical Imaging.
[6] Guido Gerig,et al. User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability , 2006, NeuroImage.
[7] 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.
[8] Marcel Breeuwer,et al. The EASI project-improving the effectiveness and quality of image-guided surgery , 1998, IEEE Transactions on Information Technology in Biomedicine.
[9] Liang-Gee Chen,et al. A novel image compression algorithm by using Log-Exp transform , 1999, ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349).
[10] 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.
[11] Joachim Denzler,et al. Progressive attenuation fields: Fast 2D‐3D image registration without precomputation , 2005 .
[12] William M. Wells,et al. Medical Image Computing and Computer-Assisted Intervention — MICCAI’98 , 1998, Lecture Notes in Computer Science.
[13] Marie-Odile Berger,et al. Fully Automatic 3D/2D Subtracted Angiography Registration , 1999, MICCAI.
[14] Lee Westover,et al. Footprint evaluation for volume rendering , 1990, SIGGRAPH.
[15] Jürgen Weese,et al. Voxel-based 2-D/3-D registration of fluoroscopy images and CT scans for image-guided surgery , 1997, IEEE Transactions on Information Technology in Biomedicine.
[16] J. Alison Noble,et al. Real-Time Registration of 3D Cerebral Vessels to X-ray Angiograms , 1998, MICCAI.
[17] Computer-Assisted Intervention,et al. Medical Image Computing and Computer-Assisted Intervention – MICCAI’99 , 1999, Lecture Notes in Computer Science.
[18] Stephen D. Laycock,et al. GPU Accelerated Generation of Digitally Reconstructed Radiographs for 2-D/3-D Image Registration , 2012, IEEE Transactions on Biomedical Engineering.
[19] J Bijhold,et al. Three-dimensional verification of patient placement during radiotherapy using portal images. , 1993, Medical physics.
[20] M. Murphy. An automatic six-degree-of-freedom image registration algorithm for image-guided frameless stereotaxic radiosurgery. , 1997, Medical physics.