Evaluation of optimization methods for intensity-based 2D-3D registration in x-ray guided interventions

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7962, Issue , 2011, Pages

  Van Der Bom, I M J ^a   Klein, S ^b   Staring, M ^c   Homan, R ^d   Bartels, L W ^e   Pluim, J P W ^e  

^a UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL   (United States)

^b ERASMUS MEDICAL CENTER   (Netherlands)

^c LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

^d PHILIPS HEALTHCARE   (United States)

^e UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

Author keywords

2D 3D registration; optimization; x ray guided procedures

Indexed keywords

2-D-3-D REGISTRATION; 3D DATA; EVOLUTION STRATEGIES; GRADIENT CORRELATION; GRADIENT DESCENT; INTENSITY-BASED; INTENSITY-BASED 2D-3D IMAGE REGISTRATION; MANUAL ANNOTATION; NONLINEAR CONJUGATE GRADIENT; OPTIMIZATION METHOD; PATIENT DATA; PATTERN INTENSITY; QUASI-NEWTON; REGISTRATION ACCURACY; REGISTRATION METHODS; REGISTRATION PERFORMANCE; SIMILARITY MEASURE; SIMULTANEOUS PERTURBATION STOCHASTIC APPROXIMATION; USER INTERACTION; X-RAY GUIDED PROCEDURES; X-RAY IMAGE;

APPROXIMATION THEORY; CONJUGATE GRADIENT METHOD; FLOW MEASUREMENT; HOSPITAL DATA PROCESSING; IMAGE REGISTRATION; IMAGING SYSTEMS; MACHINERY; MEDICAL IMAGING; OPTIMIZATION; PATIENT TREATMENT; STOCHASTIC SYSTEMS; X RAYS;

THREE DIMENSIONAL;

EID: 79958002107     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.877655     Document Type: Conference Paper

References (25)

1. Birkfellner, W., Wirth, J., Burgstaller, W., Baumann, B., Staedele, H., Hammer, B., Gellrich, N. C., Jacob, A. L., Regazzoni, P., and Messmer, P., "A faster method for 3d/2d medical image registration - a simulation study," Physics in medicine and biology 48(16), 2665-2679 (2003).
2. Sarrut, D. and Clippe, S., "Geometrical transformation approximation for 2D/3D intensity-based registration of portal images and CT scan," 532-540 (2001). Medical Image Computing and Computer-Assisted Intervention - MICCAI'01.
3. Penney, G., Weese, J., Little, J., Desmedt, P., Hill, D., and Hawkes, D., "A comparison of similarity measures for use in 2D-3D medical image registration," Medical Image Computing and Computer-Assisted Interventation - MICCAI'98 , 1153-1161 (1998).
4. Penney, G. P., Batchelor, P. G., Hill, D. L. G., Hawkes, D. J., and Weese, J., "Validation of a two-to three-dimensional registration algorithm for aligning preoperative ct images and intraoperative fluoroscopy images," Medical physics 28, 1024 (2001).
5. Hipwell, J. H., Penney, G. P., McLaughlin, R. A., Rhode, K., Summers, P., Cox, T. C., Byrne, J. V., Noble, J. A., and Hawkes, D. J., "Intensity- based 2-d-3-d registration of cerebral angiograms," IEEE Transactions on Medical Imaging 22(11), 1417-1426 (2003).
6. Khamene, A., Bloch, P., Wein, W., Svatos, M., and Sauer, F., "Automatic registration of portal images and volumetric CT for patient positioning in radiation therapy," Medical Image Analysis 10(1), 96-112 (2006).
7. Maes, F., Vandermeulen, D., and Suetens, P., "Comparative evaluation of multiresolution optimization strategies for multimodality image registration by maximization of mutual information," Medical Image Analysis 3(4), 373-386 (1999).
8. Klein, S., Staring, M., and Pluim, J. P. W., "Evaluation of optimization methods for nonrigid medical image registration using mutual information and B-splines," IEEE Transactions on Image Processing 16(12), 2879-2890 (2007).
9. van de Kraats, E. B., Penney, G. P., Tomaževič, D., van Walsum, T., and Niessen, W. J., "Standardized evaluation methodology for 2-D-3-D registration," IEEE Transactions on Medical Imaging 24(9), 1177-1189 (2005).
10. Lemieux, L., Jagoe, R., Fish, D. R., Kitchen, N. D., and Thomas, D. G. T., "A patient-to-computed-tomography image registration method based on digitally reconstructed radiographs," Medical physics 21(11).
11. Weese, J., Penney, G. P., Desmedt, P., Buzug, T. M., Hill, D. L. G., and Hawkes, D. J., "Voxel-based 2-D/3-D registration of fluoroscopy images and CT scans for image-guided surgery," IEEE transactions on information technology in biomedicine 1(4), 284-293 (1997).
12. Nocedal, J. and Wright, S. J., [Numerical optimization], Springer verlag (1999).
13. Nelder, J. A. and Mead, R., "A simplex method for function minimization," The computer journal 7(4), 308-313 (1965).
14. Press, W. H., Flannery, B. P., Teukolsky, S. A., and Vetterling, W. T., [Numerical recipes ], Cambridge university press, Cambridge (2007).
15. Powell, M. J. D., "An efficient method for finding the minimum of a function of several variables without calculating derivatives," The computer journal 7(2), 155-162 (1964).
16. Nocedal, J., "Updating quasi-newton matrices with limited storage," Mathematics of computation 35(151), 773-782 (1980).
17. Moré, J. J. and Thuente, D. J., "Line search algorithms with guaranteed sufficient decrease," ACM Transactions on Mathematical Software (TOMS) 20(3), 286-307 (1994).
18. Potra, F. A. and Shi, Y., "Efficient line search algorithm for unconstrained optimization," Journal of Optimization Theory and Applications 85(3), 677-704 (1995).
19. Hestenes, M. R. and Stiefel, E., "Methods of conjugate gradients for solving linear systems," Journal of Research of the National Bureau of Standards 49(6), 409-436 (1952).
20. Dai, Y. H. and Yuan, Y., "An efficient hybrid conjugate gradient method for unconstrained optimization," Annals of Operations Research 103(1), 33-47 (2001).
21. Dai, Y. H., "A family of hybrid conjugate gradient methods for unconstrained optimization," Mathematics of computation 72(243), 1317-1328 (2003).
22. Spall, J. C., "Multivariate stochastic approximation using a simultaneousperturbation gradient approximation," IEEE Transactions on Automatic Control 37(3), 332-341 (1992).
23. Beyer, H. G. and Schwefel, H. P., "Evolution strategies. A comprehensive introduction," Natural computing 1(1), 3-52 (2002).
24. Hansen, N. and Ostermeier, A., "Completely derandomized self-adaptation in evolution strategies," Evolutionary computation 9(2), 159-195 (2001).
25. Klein, S., Staring, M., Murphy, K., Viergever, M. A., and Pluim, J. P. W., "elastix: a toolbox for intensity-based medical image registration," IEEE Transactions on Medical Imaging 29(1), 196-205 (2010).