Validation of vessel-based registration for correction of brain shift

Medical Image Analysis

Volumn 11, Issue 4, 2007, Pages 374-388

  Reinertsen, I ^a   Descoteaux, M ^b   Siddiqi, K ^b   Collins, D L ^a  

^a MCGILL UNIVERSITY   (Canada)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

Brain shift; Doppler ultrasound; Registration

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ITERATIVE METHODS; MEDICAL IMAGING; NEUROSURGERY; TISSUE; TISSUE ENGINEERING; ULTRASONICS;

BRAIN SHIFT; BRAIN TISSUE; DOPPLER ULTRASOUND; IMAGE-GUIDED NEUROSURGERY SYSTEMS; ITERATIVE CLOSET POINT (ICP) ALGORITHM; VESSEL-BASED REGISTRATION;

BRAIN;

POLYVINYL ALCOHOL;

ALGORITHM; ARTICLE; CONTROLLED STUDY; DOPPLER ECHOGRAPHY; IMAGE RECONSTRUCTION; INTRAOPERATIVE PERIOD; MEASUREMENT ERROR; NEURONAVIGATION; NEUROSURGERY; NUCLEAR MAGNETIC RESONANCE IMAGING; PHANTOM; PREOPERATIVE EVALUATION; PRIORITY JOURNAL; REGRESSION ANALYSIS; SIMULATION; VALIDATION PROCESS;

ALGORITHMS; BRAIN; ECHOENCEPHALOGRAPHY; HUMANS; MAGNETIC RESONANCE IMAGING; PHANTOMS, IMAGING; TOMOGRAPHY, X-RAY COMPUTED;

EID: 34250858984     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2007.04.002     Document Type: Article

References (50)

1. Arbel, T., Morandi, X., Comeau, R.M., Collins, D.L., 2001. Automatic non-linear MRI-ultrasound registration for the correction of intra-operative brain deformations. In: Proc. MICCAI 2001, pp. 913-922.
2. Arbel T., Morandi X., Comeau R.M., and Collins D.L. Automatic non-linear mri-ultrasound registration for the correction of intra-operative brain deformation. Computer Aided Surgery 9 4 (2001) 123-136
3. Aylward, S.R., Jomier, J., Jean-Philippe Guyon, Weeks, S., 2002. Intra-operative 3D ultrasound augmentation. In: Proc. IEEE International Symposium on Biomedical Imaging, pp. 421-424.
4. Aylward S.R., Jomier J., Weeks S., and Bullitt E. Registration and analysis of vascular images. International Journal of Computer Vision 55 2/3 (2003) 123-138
5. Besl P.J., and McKay N.D. A method for registration of 3D shapes. IEEE PAMI 14 2 (1992) 239-256
6. Black P.M., Alexander E., Martin C., Moriarty T., Nabavi A., Wong T.Z., Schwartz R.B., and Jolesz F. Craniotomy for tumor treatment in an intraoperative magnetic resonance imaging unit. Neurosurgery 45 3 (1999) 423-433
7. Bookstein F.L. Principal warps: thin-plate splines and the decomposition of deformations. IEEE PAMI 11 6 (1989) 567-585
8. Bouix S., Siddiqi K., and Tannenbaum A. Flux driven automatic centerline extraction. Medical Image Analysis 9 (2005) 209-221
9. Chen Y., and Medioni G. Object modeling by registration of multiple range images. IEEE Conference on Robotics and Automation (1991)
10. Chetverikov, D., Svirko, D., Stepanov, D., 2002. The trimmed iterative closest point algorithm. In: Proc. International Conference on Pattern Recognition.
11. Collins D.L., and Evans A.C. ANIMAL: Validation and application of non-linear registration-based segmentation. IJPRAI 11 8 (1997) 1271-1294
12. Comeau R.M., Sadikot A.F., Fenster A., and Peters T.M. Intraoperative ultrasound for guidance and tissue shift correction in image-guided neurosurgery. Medical Physics 27 4 (2000) 787-800
13. Descoteaux, M., 2004. A Multi-Scale Geometric Flow for Segmenting Vasculature in MRI: Theory and Validation, Master's Thesis, School of Computer Science, McGill University.
14. Ferrant M., Nabavi A., Macq B., Black P.M., Jolesz F.A., Kikinis R., and Warfield S.K. Serial registration of intraoperative MR images of the brain. Medical Image Analysis 6 (2002) 337-359
15. Fischler M.A., and Bolles R.C. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communication of the ACM 24 (1981) 381-395
16. Frangi, A.F., Niessen, W.J., Vincken, K.L., Viergever, M.A., 1998. Muliscale vessel enhancement filtering. In: Proc. MICCAI 1998, pp. 130-137.
17. Gobbi, D.G., Comeau, R.M., Peters, T.M., 2000. Ultrasound/MRI overlay with image warping for neurosurgery. In: Proc. MICCAI 2000, pp. 106-114.
18. Grønningsæter Aa., Kleven A., Ommedal S., Aarseth T.E., Lie T., Lindseth F., Langø T., and Unsgaard G. SonoWand, an ultrasound-based neuronavigation system. Neurosurgery 47 6 (2000) 1373-1380
19. Grunert P., Muller-Forell W., Darabi K., Reisch R., Busert C., Hopf N., and Perneczky A. Basic principles and clinical applications of neuronavigation and intraoperative computed tomography. Computer Aided Surgery 3 4 (1998) 166-173
20. Haberland N., Ebmeier K., Hliscs R., Grunewald J.P., Silbermann J., Steenbeck J., Nowak H., and Kalff R. Neuronavigation in surgery of intracranial and spinal tumors. Journal of Cancer Research and Clinical Oncology 126 (2000) 529-541
21. Hartkens T., Hill D.L.G., Castellano-Smith A.D., Hawkes D.J., Maurer C.R., Martin A.J., Hall W.A., Liu H., and Truwit C.L. Measurement and analysis of brain deformation during neurosurgery. IEEE Transactions on Medical Imaging 22 1 (2003) 82-92
22. Hastreiter P., Rezk-Salama C., Soza G., Bauer M., Greiner G., Fahlbusch R., Ganslandt O., and Nimsky C. Strategies for brain shift evaluation. Medical Image Analysis 8 (2004) 447-464
23. Hill D.L.G., Maurer C.R., Maciunas R.J., Barwise J.A., Fitzpatrick J.M., and Wang M.Y. Measurement of intraoperative brain surface deformation under a craniotomy. Neurosurgery 43 3 (1998) 514-528
24. Jolesz F.A. Future perspectives for intraoperative MRI. Neurosurgery Clinics of North America 16 1 (2005) 201-213
25. Jomier, J., Aylward, S.R., 2004. Rigid and deformable vasculature-to-image registration: a hierarchical approach. In: Proc. MICCAI 2004, pp. 829-836.
26. Lange, T., Eulenstein, S., Hunerbein, M., Lamecker, H., Peter-Michael Schlag., 2004. Augmenting intraoperative 3D ultrasound with preoperative models for navigation in liver surgery. In: Proc. MICCAI 2004, pp. 534-541.
27. Letteboer M.M., Willems P.W.A., Viergever M.A., and Niessen W.J. Brain shift estimation in image-guided neurosurgery using 3-D ultrasound. IEEE Transactions on Medical Imaging 52 2 (2005)
28. Masuda T., Sakaue K., and Yokoya N. Registration and integration of multiple range images for 3-D model construction. Proceedings of ICPR (1996)
29. Miga M.I., Paulsen K.D., Lemery J.M., Eisner S.D., Hartov A., Kennedy F.E., and Roberts D.W. Model-updated image gudence: initial clinical experiences with gravity-induced brain deformation. IEEE Transactions on Medical Imaging 18 10 (1999) 866-874
30. Nabavi A., Black P.M., Gering D.T., Westin C.F., Mehta V., Pergolizzi Jr. R.S., Ferrant M., Warfield S.K., Hata N., Schwartz R.B., Wells III W.M., Kikinis R., and Jolesz F.A. Serial intraoperative magnetic resonance imaging of brain shift. Neurosurgery 48 4 (2001) 787-798
31. Nimsky C., Ganslandt O., Hastreiter P., and Fahlbusch R. Intraoperative compensation for brain shift. Surgical Neurology 10 (2001) 357-365
32. Nimsky C., Ganslandt O., von Keller B., Romstock J., and Fahlbusch R. Intraoperative high-field-strength MR imaging: implementation and experience in 200 patients. Radiology 233 (2004) 67-78
33. Penney G.P., Little J.A., Weese J., Hill D.L.G., and Hawkes D.J. Registration of freehand 3D ultrasound and magnetic resonances liver images. Medical Image Analysis 8 (2004) 81-91
34. Porter B.C., Rubens D.J., Strang J.G., Smith J., Totterman S., and Parker K.J. Three-dimensional registration and fusion of ultrasound and mri using major vessels as fiducial markers. IEEE Transactions on Medical Imaging 20 4 (2001) 354-359
35. Pulli, K., 1999. Multiview registration for large data sets. In: Proc. 3DIM.
36. Reinertsen I., and Collins D.L. A realistic phantom for brain-shift simulations. Medical Physics 33 9 (2006) 3234-3240
37. Reinertsen, I., Descoteaux, M., Drouin, S., Siddiqi, K., Collins, D.L., 2004. Vessel driven correction of brain shift. In: Proc. MICCAI 2004, pp. 208-216.
38. Roberts D.W., Miga M.I., Hartov A., Eisner S., Lemery J.M., Kennedy F.E., and Paulsen K.D. Intraoperative brain shift and deformation: a quantitative analysis of cortical displacement in 28 cases. Neurosurgery 43 5 (1998) 749-760
39. Roche A., Pennec X., Malandin G., and Ayache N. Rigid registration of 3D ultrasound with mr images: a new approach combining intensity and gradient information. IEEE Transactions on Medical Imaging 20 10 (2001) 1038-1049
40. Rousseeuw, P.J., Leroy, A.M., 1987. Robust Regression and Outlier Detection, Wiley Series. In: Probability and Mathematical Statistics, first ed., 1987.
41. Rusinkiewicz, S., Levoy, M., 2001. Efficient Variants of the ICP Algorithm. In: Proc. 3rd International Conference on 3D Digital Imaging and Modeling.
42. Siddiqi K., Bouix S., Tannenbaum A., and Zucker S.W. Hamilton-Jacobi skeletons. International Journal of Computer Vision 48 3 (2002)
43. Skrinjar O., Nabavi A., and Duncan J. Model-driven brain shift compensation. Medical Image Analysis 6 (2002) 361-373
44. Slomka P.J., Mandel J., Downey D., and Fenster A. Evaluation of voxel-based registration of 3-D power Doppler ultrasound and 3-D magnetic resonance angiographic images of carotid arteries. Ultrasound in Medicine and Biology 27 7 (2001) 945-955
45. Soza, G., Nimsky, C., Greiner, G., Hastreiter, P., 2004. Estimating mechanical brain tissue properties with simulation and registration. In: Proc. MICCAI 2004, pp. 276-283.
46. Surry K.J.M., Austin H.J.B., Fenster A., and Peters T.M. Poly(vinyl alcohol) cryogel phantoms for use in ultrasound and MR imaging. Physics in Medicine and Biology 49 24 (2004) 5529-5546
47. Trucco E., Fusiello A., and Roberto V. Robust motion and correspondence of noisy 3-D point sets with missing data. Pattern Recognition Letters 20 (1999) 889-898
48. Turk, G., Levoy, M., 1994. Zippered Polygon Meshes from Range Images. In: Proc. SIGGRAPH.
49. Vasilevskiy A., and Siddiqi K. Flux maximizing geometric flows. IEEE PAMI 24 12 (2002) 1565-1578
50. Weik, S., 1997. Registration of 3-D partial surface models using luminance and depth information. In: Proc. 3DIM.