Comparison of similarity measures for rigid-body CT/dual X-ray image registrations

Technology in Cancer Research and Treatment

Volumn 6, Issue 4, 2007, Pages 337-345

  Kim, Jinkoo ^a   Li, Shidong ^a   Pradhan, Deepak ^a   Hammoud, Rabih ^a   Chen, Qing ^a   Yin, Fang Fang ^b   Zhao, Yang ^c   Jae, Ho Kim ^a   Movsas, Benjamin ^a  

^a HENRY FORD HEALTH SYSTEM   (United States)

^b DUKE UNIVERSITY MEDICAL CENTER   (United States)

^c Wayne State University   (United States)

Author keywords

3D 2D image registration; Image guided radiation therapy; Patient positioning; Similarity measures

Indexed keywords

ARTICLE; CANCER RADIOTHERAPY; COMPUTER ASSISTED TOMOGRAPHY; PATIENT POSITIONING; PHANTOM; RADIOGRAPHY; THREE DIMENSIONAL IMAGING; X RAY;

EID: 34548318831     PISSN: 15330346     EISSN: None     Source Type: Journal    
DOI: 10.1177/153303460700600411     Document Type: Article

References (35)

1. Booth, J., T. Modeling the impact of treatment uncertainties in radiotherapy. University of Adelaide (2002).
2. Gall, K.P., Verhey, L. J., and Wagner, M. Computer-assisted positioning of radiotherapy patients using implanted radiopaque fiducials. Medical Physics 20, 1153-1159 (1993).
3. Shirato, H., et al. Physical aspects of a real-time tumor-tracking system for gated radiotherapy. International Journal of Radiation Oncology, Biology, Physics 48, 1187-1195 (2000).
4. Bijhold, J. Three-dimensional verification of patient placement during radiotherapy using portal images. Medical Physics 20, 347 (1993).
5. Gilhuijs, K. G. A., van de Ven, P. J. H., and van Herk, M. Automatic three-dimensional inspection of patient setup in radiation therapy using portal images, simulator images, and computed tomography data. Medical Physics 23, 389-399 (1996).
6. Uematsu, M., et al. A dual computed tomography linear accelerator unit for stereotactic radiation therapy: a new approach without cranially fixated stereotactic frames. International Journal of Radiation Oncology, Biology, Physics 35, 587-592 (1996).
7. Murphy, M. J. An automatic six-degree-of-freedom image registration algorithm for image-guided frameless stereotaxic radiosurgery. Medical Physics 24, 857-866 (1997).
8. Berbeco, R. I., et al. Integrated radiotherapy imaging system(IRIS): design considerations of tumour tracking with linac gantry-mounted diagnostic x-ray systems with flat-panel detectors. Physics in Medicine and Biology 49, 243-255 (2004).
9. Djajaputra, D. and Li, S. Real-time 3D surface-image-guided beam setup in radiotherapy of breast cancer. Medical Physics 32, 65-75 (2005).
10. Bova, F. J., et al. The University of Florida frameless high-precision stereotactic radiotherapy system. International Journal of Radiation Oncology, Biology, Physics 38, 875-882 (1997).
11. Feldmar, J., Ayache, N., and Betting, F. 3D-2D projective registration of free-form curves and surfaces. In INRIA Report 2434. (1994).
12. Liu, A., Bullitt, E., and Pizer, S. M. 3D/2D registration via skeletal near projective invariance in tubular objects. In Medical Image Computing and Computer-Assisted Interventation - MICCAI'98. Springer (1998).
13. Brown, L. M. G. and Boult, T. E. Registration of Planar Film Radiographs with Computed Tomography. In 1996 Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '96) (1996).
14. Weese, J., et al. Voxel-based 2-D/3-D registration of fluoroscopy images and CT scansfor image-guided surgery. IEEE Transactions on Information Technology in Biomedicine 1, 284-293 (1997).
15. Cosman, E. Rigid Registration of MR and Biplanar Fluoroscopy. Massachusetts Institute of Technology (2000).
16. LaRose, D. A. X-Ray/CT Registration Using Accelerated Volume Rendering. Carnegie Mellon University (2001).
17. Zollei, L. 2D-3D Rigid-Body Registration of X-Ray Fluoroscopy and CT Images. Massachusetts Institute of Technology (2001).
18. Lacroute, P. and Levoy, M. Fast volume rendering using a shear-warp factorization of the viewing transformation. In SIGGRAPH 94. ACM Press New York, NY, USA (1994).
19. Salama, C. R. Volume Rendering Techniques for General Purpose Graphics Hardware. Univ. Erlangen-Nürnberg (2001).
20. Kim, J., et al. Characteristics of A CT/Dual X-Ray Image Registration Method Using 2D Texturemap DRR, Gradient Ascent, and Mutual Information. In International Conference on the Use of Computers in Radiation Therapy (2004).
21. Clippe, S., et al. Patient setup error measurement using 3D intensity-based image registration techniques. International Journal of Radiation Oncology, Biology, Physics 56, 259-265 (2003).
22. Studholme, C., Hill, D. L., and Hawkes, D. J. Automated 3-D registration of MR and CT images of the head. Medical Image Analysis 1, 163-175 (1996).
23. Studholme, C., Hill, D. L. G., and Hawkes, D. J. Automated three-dimensional registration of magnetic resonance and positron emission tomography brain images by multiresolution optimization of voxel similarity measures. Medical Physics 24, 25 (1997).
24. Bro-Nielsen, M. Rigid registration of CT, MR and cryosection images using a GLCM framework. In CVRMed-MRCAS. (1997).
25. Penney, G. P., et al. A comparison of similarity measures for use in 2-D-3-D medicalimage registration. IEEE Transactions on Medical Imaging 17, 586-595 (1998).
26. Holden, M., et al. Voxel similarity measures for 3-D serial MR brain imageregistration. IEEE Transactions on Medical Imaging 19, 94-102 (2000).
27. Hipwell, J. H., et al. Intensity-based 2-D-3-D registration of cerebral angiograms. IEEE Transactions on Medical Imaging 22, 1417-1426 (2003).
28. Pluim, J. P. W., Maintz, J. B. A. and Viergever, M. A. f-information measures in medical image registration. IEEE Transactions on Medical Imaging 23, 1508-1516 (2004).
29. Khamene, A., et al. Automatic registration of portal images and volumetric CT for patient positioning in radiation therapy. Medical Image Analysis 10, 96-112 (2006).
30. Kim, J., et al. Effects of x-ray and CT image enhancements on the robustness and accuracy of a rigid 3D/2D image registration. Medical Physics 32, 866-873 (2005).
31. Nelder, J. A. and Mead, R. A simplex method for function minimization. Computer Journal 7, 308-313 (1965).
32. Viola, P. Alignment by Maximization of Mutual Information. In MIT Technical Report 154, MIT (1995).
33. Kim, J., et al. A feasibility study of mutual information based setup error estimation for radiotherapy. Medical Physics 28, 2507-2517 (2001).
34. Weese, J., et al. An approach to 2D/3D registration of a vertebra in 2D X-ray fluoroscopies with 3D CT images. In Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery. Springer-Verlag London, UK (1997).
35. Birkfellner, W., et al. Rigid 2D/3D slice-to-volume registration and its application on fluoroscopic CT images. Medical Physics 34, 246-255 (2007).