No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
Assessing the intrinsic precision of 3D/3D rigid image registration results for patient setup in the absence of a ground truth
1.J. R. Wong, C. W. Cheng, L. Grimm, and M. Uematsu, “Clinical implementation of the world’s first Primatom, a combination of CT scanner and linear accelerator, for precise tumor targeting and treatment,” Phys. Medica 17, 271–276 (2001).
2.L. E. Court, L. Dong, N. Taylor, M. Ballo, K. Kitamura, A. K. Lee, J. O’Daniel, R. A. White, R. Cheung, and D. Kuban, “Evaluation of a contour-alignment technique for CT-guided prostate radiotherapy: An intra- and interobserver study,” Int. J. Radiat. Oncol., Biol., Phys. 59, 412–418 (2004).
3.D. A. Jaffray and J. H. Siewerdsen, “Cone-beam computed tomography with a flat-panel imager: Initial performance characterization,” Med. Phys. 27, 1311–1323 (2000).
5.C. Woodford, S. Yartsev, and J. Van Dyk, “Image registration of a moving target phantom with helical tomotherapy: Effect of the CT acquisition technique and action level proposal,” Phys. Med. Biol. 53, 5093–5106 (2008).
6.G. P. Penney, J. Weese, J. A. Little, P. Desmedt, D. L. Hill, and D. J. Hawkes, “A comparison of similarity measures for use in 2-D-3-D medical image registration,” IEEE Trans. Med. Imaging 17, 586–595 (1998).
7.D. Skerl, D. Tomazevic, B. Likar, and F. Pernus, “Evaluation of similarity measures for reconstruction-based registration in image-guided radiotherapy and surgery,” Int. J. Radiat. Oncol., Biol., Phys. 65, 943–953 (2006).
8.D. Škerl, B. Likar, J. M. Fitzpatrick, and F. Pernus, “Comparative evaluation of similarity measures for the rigid registration of multi-modal head images,” Phys. Med. Biol. 52, 5587–5601 (2007).
9.D. B. Russakoff, T. Rohlfing, A. Ho, D. H. Kim, R. Shahidi, J. R. Adler, Jr., and C. R. Maurer, Jr., “Evaluation of intensity-based 2D-3D spine image registration using clinical gold-standard data,” in Biomedical Image Registration, Second International Workshop, WBIR 2003, 2003
9.[Lect. Notes Comput. Sci. 2717, 151–160 (2003)].
12.C. E. Shannon, “A mathematical theory of communication,” Bell Syst. Tech. J. 27, 379–423 (1948).
13.J. P. Pluim, J. B. Maintz, and M. A. Viergever, “Mutual-information-based registration of medical images: A survey,” IEEE Trans. Med. Imaging 22, 986–1004 (2003).
15.D. Mattes, D. R. Haynor, H. Vesselle, T. K. Lewellyn, and W. Eubank, “Nonrigid multimodality image registration,” in Medical Imaging 2001: Image Processing, Vol. 4322, edited by M. Sonka and K. M. Hanson (SPIE, San Diego, 2001), pp. 1609–1620.
16.J. Wu, M. Kim, J. Peters, H. Chung, and S. S. Samant, “Evaluation of similarity measures for use in the intensity-based rigid 2D-3D registration for patient positioning in radiotherapy,” Med. Phys. 36, 5391–5403 (2009).
17.M. J. Murphy, Z. Wei, M. Fatyga, J. Williamson, M. Anscher, T. Wallace, and E. Weiss, “How does CT image noise affect 3D deformable image registration for image-guided radiotherapy planning?,” Med. Phys. 35, 1145–1153 (2008).
Article metrics loading...
Full text loading...
Most read this month