Abstract
Constructing a one to one correspondence between whole brain MR image scans is a problem of critical importance in neuroimaging analyses. We present a framework to combine the strength of both surface-based and volumetric-based analyses for consistent, bijective data transfer between brain coordinate systems.
We are grateful to NSERC, CHRP, Pacific Alzheimer Research Foundation and the Michael Smith Foundation for Health Research for providing funding towards this research.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
VanEssen, D.C., Drury, H., Joshi, S.C., Miller, M.I.: Functional and structural mapping of human cerebral cortex: Solutions are in the surfaces. Proc. Nat. Acad. Sci. 95, 788–795 (1998)
Mangin, F., Riviére, J., Cachia, D., Duchesnay, A., Cointepas, E., Papadopoulos-orfanos, Y., Scifo, D., Ochiai, P., Régis, T., Erm, J.I.: A framework to study the cortical folding patterns. Neuroimage 23, 129–138 (2004)
Desai, R., Liebenthal, E., Possing, E.T., Waldron, E., Binder, J.R.: Volumetric vs. surface-based alignment for localization of auditory cortex activation. Neuroimage 26(4), 1019–1029 (2005)
Anticevic, A., Dierker, D., Gillespie, S., Repovs, G., Csernansky, J., VanEssen, D., Barch, D.: Comparing surface-based and volume-based analyses of functional neuroimaging data in patients with schizophrenia. Neuroimage 41(3), 835–848 (2008)
Fischl, B., Sereno, M.I., Tootell, R.B.H., Dale, A.M.: High-resolution intersubject averaging and a coordinate system for the cortical surface. Human Brain Mapping 8(4), 272–284 (1999)
Liu, T., Shen, D., Davatzikos, C.: Deformable registration of cortical structures via hybrid volumetric and surface warping. Neuroimage 22(4), 1790–1801 (2004)
Eldeib, A., Yamany, S., Farag, A.: Volume registration by surface point signature and mutual information maximization with applications in intra-operative MRI surgeries. In: Proc. Int. Conf. Image Processing, September 2000, vol. 1, pp. 200–203 (2000)
Postelnicu, G., Zollei, L., Fischl, B.: Combined volumetric and surface registration. IEEE Trans. Med. Imaging 28(4), 508–522 (2009)
Alzheimer’s Disease Research Center, Washington University, S.L.: Healthy aging & senile dementia program project (2004-2008)
Fischl, B., Salat, D.H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., Montillo, A., Makris, N., Rosen, B., Dale, A.M.: Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron. 33(3), 341–355 (2002)
Jones, S.E., Buchbinder, B.R., Aharon, I.: Three-dimensional mapping of cortical thickness using laplace’s equation. Human Brain Mapping 11(1), 12–32 (2000)
Beg, M.F., Miller, M., Trouve, A., Younes, L.: Computing large deformation metric mappings via geodesic flows of diffeomorphisms. International Journal of Computer Vision 61(2), 139–157 (2005)
Desikan, R., Ségonne, F., Fischl, B., Quinn, B., Dickerson, B., Blacker, D., Buckner, R., Dale, A., Maguire, P., Hyman, B., Albert, M., Killiany, R.: An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage 31(3), 968–980 (2006)
Fischl, B., Sereno, M.I., Dale, A.M.: Cortical surface-based analysis - ii: Inflation, flattening, and a surface-based coordinate system. Neuroimage 9(2), 195–207 (1999)
Yeo, B.T.T., Sabuncu, M.R., Vercauteren, T., Ayache, N., Fischl, B., Golland, P.: Spherical demons: Fast surface registration. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part I. LNCS, vol. 5241, pp. 745–753. Springer, Heidelberg (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gibson, E., Khan, A.R., Beg, M.F. (2009). A Combined Surface And VOlumetric Registration (SAVOR) Framework to Study Cortical Biomarkers and Volumetric Imaging Data. In: Yang, GZ., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. MICCAI 2009. Lecture Notes in Computer Science, vol 5761. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04268-3_88
Download citation
DOI: https://doi.org/10.1007/978-3-642-04268-3_88
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04267-6
Online ISBN: 978-3-642-04268-3
eBook Packages: Computer ScienceComputer Science (R0)