Multimodal image registration for preoperative planning and image-guided neurosurgical procedures

Neurosurgery Clinics of North America

Volumn 22, Issue 2, 2011, Pages 197-206

  Risholm, Petter ^a   Golby, Alexandra J ^a   Wells, William ^a  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

Brain; Functional information; Registration; Tumor

Indexed keywords

ACCURACY; BRAIN MAPPING; CANCER SURGERY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; IMAGE DISPLAY; IMAGE PROCESSING; IMAGE QUALITY; IMAGE REGISTRATION; IMAGE REGULARIZATION; INTRAOPERATIVE PERIOD; INTRAOPERATIVE RADIOTHERAPY; MAGNETIC RESONANCE ANGIOGRAPHY; NEUROIMAGING; NEURONAVIGATION; PEROPERATIVE ECHOGRAPHY; POSITRON EMISSION TOMOGRAPHY; PREOPERATIVE EVALUATION; PRIORITY JOURNAL; REGISTRATION UNCERTAINTY; REVIEW;

DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; NEURONAVIGATION; NEUROSURGICAL PROCEDURES; PATIENT CARE PLANNING; POSITRON-EMISSION TOMOGRAPHY; PREOPERATIVE CARE; SURGERY, COMPUTER-ASSISTED; UNCERTAINTY;

EID: 79952854651     PISSN: 10423680     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.nec.2010.12.001     Document Type: Review

References (48)

1. Tharin S., Golby A. Functional brain mapping and its applications to neurosurgery. Neurosurgery 2007, 4:185-201.
2. Petrella J.R., Shah L.M., Harris K.M., et al. Preoperative functional MR imaging localization of language and motor areas: effect on therapeutic decision making in patients with potentially resectable brain tumors. Radiology 2006, 240(3):793-802.
3. Nabavi A., Kacher D.F., Gering D.T., et al. Neurosurgical procedures in a 0.5 tesla, open-configuration intraoperative MRI: planning, visualization and navigation. Automedica 2001, 00:1-35.
4. Ken S., Di Gennaro G., Giulietti G. Quantitative evaluation for brain CT/MRI coregistration based on maximization of mutual information in patients with focal epilepsy investigated with subdural electrodes. Magn Reson Imaging 2007, 25(6):883-888.
5. Hartkens T., Hill D.L., Catellano-Smith A.D., et al. Measurement and analysis of brain deformation during neurosurgery. IEEE Trans Med Imaging 2003, 22(1):82-92.
6. Nimsky C., Ganslandt O., Cerny S., et al. Quantification of, visualization of, and compensation for brain shift using intraoperative magnetic resonance imaging. Neurosurgery 2000, 47(5):1070-1079.
7. Hastreiter P., Rezk-Salama C., Soza G., et al. Strategies for brain shift evaluation. Med Image Anal 2004, 8(4):447-464.
8. Nabavi A., Black P.M., Gering D.T., et al. Serial intraoperative MR imaging of brain shift. Neurosurgery 2001, 48(4):787-798.
9. Roberts D.W., Hartov A., Kennedy F.E., et al. Intraoperative brain shift and deformation: a quantitative analysis of cortical displacement in 28 cases. Neurosurgery 1998, 43(4):749-758.
10. Platenik L., Miga M., Roberts D., et al. In vivo quantification of retraction deformation modeling for updated image-guidance during neurosurgery. IEEE Trans Biomed Eng 2002, 49(8):823-835.
11. Claus E., Horlacher A., Hsu L., et al. Survival rates in patients with low-grade glioma after intra-operative magnetic resonance image guidance. Cancer 2005, 103(6):1227-1233.
12. Warfield S., Haker S., Talos I., et al. Capturing intraoperative deformations: research experience at Brigham and Women's Hospital. Med Image Anal 2005, 9(2):145-162.
13. Wirtz C.R., Knauth M.A., Subert M.M., et al. Clinical evaluation and follow-up results for intraoperative magnetic resonance imaging in neurosurgery. Neurosurgery 2000, 46(5):1112-1120.
14. Rasmussen I.A., Lindseth F., Rygh O.M., et al. Functional neuronavigation combined with intra-operative 3D ultrasound: initial experiences during surgical resections close to eloquent brain areas and future directions in automatic brain shift compensation of preoperative data. Acta neurochir(Wien) 2006, 149(4):365-378.
15. Shamir R.R., Joskowicz L., Spektor S., et al. Localization and registration accuracy in image guided neurosurgery: a clinical study. Int J Comput Assist Radiol Surg 2009, 4(1):45-52.
16. Fitzpatrick J.M., West J.B. The distribution of target registration error in rigid body point-based registration. IEEE Trans Med Imaging 2001, 20(9):917-927.
17. Shamir R.R., Joskowicz L. Geometrical analysis of registration errors in point-based rigid-body registration using invariants. Med Image Anal 2011, 15(1):85-95.
18. Fitzpatric J.M. Fiducial registration error and target registration error are uncorrelated. SPIE Medical Imaging 2009, 7261:726102.
19. Archip N., Clatz O., Whalen S., et al. Non-rigid alignment of pre-operative MRI, fMRI and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery. Neuroimage 2007, 35(2):609-624.
20. Maintz J., Viergever M. A survey of medical image registration. Med Image Anal 1998, 2(1):1-36.
21. Zitova B., Flusser J. Image registration methods: a survey. Image Vis Comput 2003, 21(11):977-1000.
22. Woods R.P., Mazziotta J.C., Cherry S.R. MRI-PET registration with automated algorithm. J Comput Assist Tomogr 1993, 17:536-546.
23. Wells W.M., Viola P., Atsumi H., et al. Multi-modal volume registration by maximization of mutual information. Med Image Anal 1996, 1(1):35-51.
24. Pluim J.P., Maintz J.B., Viergever M.A. Mutual information based registration of medical images: a survey. IEEE Trans Med Imaging 2003, 22(8):986-1004.
25. Clatz O., Delingette H., Talos I.F., et al. Robust nonrigid registration to capture brain shift from intraoperative MRI. IEEE Trans Med Imaging 2005, 24(11):1417-1427.
26. Vigneron L.M., Boman R.C., Ponthot J.P., et al. Enhanced FEM-based modeling of brain shift deformation in image guided neurosurgery. J Comput Appl Math 2010, 234(7):2046-2053.
27. Holden M., Schnabel J.A., Hill D.L. Quantification of small cerebral ventricular volume changes in treated growth hormone patients using non-rigid registration. IEEE Trans Med Imaging 2002, 21:1292-1301.
28. Thirion J.P. Image matching as a diffusion process: an analogy with Maxwell's demons. Med Image Anal 1998, 2(3):243-260.
29. Ferrant M., Nabavi A., Macq B., et al. Serial registration of intraoperative MR images of the brain. Med Image Anal 2002, 6(4):337-359.
30. Miga M.I., Sinha T.K., Cash D.M., et al. Cortical surface registration for image-guided neurosurgery using laser-range scanning. IEEE Trans Med Imaging 2003, 22(8):973-985.
31. Skrinjar O., Nabavi A., Duncan J. Model-driven brain shift compensation. Med Image Anal 2002, 6(4):361-373.
32. Paul P., Morandi X., Jannin P. A surface registration method for quantification of intra-operative brain deformations in image-guided neurosurgery. IEEE Trans Inf Technol Biomed 2009, 13(6):976-983.
33. Wittek A., Miller K., Kikinis R., et al. Patient-specific model of brain deformation: application to medical image registration. J Biomech 2007, 40(4):919-929.
34. Hagemann A., Rohr K., Stiehl H.S. Coupling of fluid and elastic models for biomechanical simulations of brain deformations using FEM. Med Image Anal 2002, 6(4):375-388.
35. Wittek A., Hawkins T., Miller K. On the unimportance of constitutive models in computing brain deformation for image guided surgery. Biomech Model Mechanobiol 2009, 8(1):77-84.
36. Hagemann A., Rohr K., Stiehl H., et al. Biomechanical modeling of the human head for physically based nonrigid image registration. IEEE Trans Image Process 1999, 18(10):875-884.
37. Risholm P., Samset E., Wells W.M. Bayesian estimation of deformation and elastic parameters in non-rigid registration. LNCS, Springer Berlin/Heidelberg. Biomedical Image Registration 2010, 6204:104-115.
38. Periaswamy S., Farid H. Medical image registration with partial data. Med Image Anal 2006, 10(3):452-464.
39. Miga M., Roberts D.W., Kennedy F.E., et al. Modeling of retraction and resection for intraoperative updating of images. Neurosurgery 2001, 49(1):75-85.
40. Guimond A., Roche A., Ayache N., et al. Three-dimensional brain warping using the Demons algorithm and adaptive intensity corrections. IEEE Trans Med Imaging 2001, 20(1):58-69.
41. Risholm P., Samset E., Talos I., et al. A non-rigid registration framework that accommodates resection and retraction. LNCS, Springer Berlin/Heidelberg vol. 5636. Inf Process Med Imaging 2009, 21:447-458.
42. Risholm P., Samset E., Wells W.M. Validation of a non-rigid registration framework that accommodates tissue resection. SPIE Medical Imaging 2010, 7623:762319.
43. Toews M., Wells W.M. Bayesian registration via local image regions: information, selection and marginalization. LNCS, Springer Berlin/Heidelberg vol. 5636. Inf Process Med Imaging 2009, 21:435-446.
44. Moghari M., Abolmaesumi P. Distribution of target registration error for anisotropic and inhomogeneous fiducial localization error. IEEE Trans Med Imaging 2009, 28(6):799-813.
45. Hub M., Kessler M., Karger C. A stochastic approach to estimate the uncertainty involved in B-spline image registration. IEEE Trans Med Imaging 2009, 28(11):1708-1716.
46. Kybic J. Bootstrap resampling for image registration uncertainty estimation without ground truth. IEEE Trans Image Process 2010, 19(1):64-73.
47. Risholm P., Pieper S., Samset E., et al. Summarizing and visualizing uncertainty in non-rigid registration. LNCS, Springer Berlin/Heidelberg vol. 6362. Med Image Comput Comput Assist Interv 2010, 13:554-561.
48. Pace D., Hata N. Image guided therapy in slicer3: planning for image guided neurosurgery Surgical planning laboratory, Brigham and Women's Hospital. Available at:, Accessed December 3, 2010. http://www.spl.harvard.edu/publications/item/view/1608.