Abstract
Tensor based morphology (TBM) is a powerful approach to analyze local structural changes in brain anatomy. However, conventional scalar TBM methods are unable to present direction-specific analysis of volume changes required to model complex changes such as those during brain growth. In this paper, we describe novel TBM descriptors for studying direction-specific changes in a subject population which can be used in conjunction with scalar TBM to analyze local patterns in directionality of volume change during brain development. We illustrate the use of these methods by studying brain developmental patterns in fetuses. Results show that this approach detects early changes local growth that are related to the early stages of sulcal and gyral formation.
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
Davatzikos, C., Vaillant, M., Resnick, S., Prince, J., Letovsky, S., Bryan, R.: A computerized approach for morphological analysis of the corpus callosum. J. Comput. Assist. Tomogr. 20(1), 88–97 (1996)
Browndyke, J.N., Virk, H., Tupler, L.A., Warren, L.H., Hayden, K.M., Burke, J.R., Welsh-Bohmer, K.A., Doraiswamy, P.M.: Left anterior parahippocampal gray matter volume is inversely associated with APOE genotypic risk in healthy seniors: tensor-based morphometry data. Alzheimer’s and Dementia 5(4, suppl. 1), P211–P212 (2009)
Lenroot, R.K., Gogtay, N., Greenstein, D.K., Wells, E.M., Wallace, G.L., Clasen, L.S., Blumenthal, J.D., Lerch, J., Zijdenbos, A.P., Evans, A.C., Thompson, P.M., Giedd, J.N.: Sexual dimorphism of brain developmental trajectories during childhood and adolescence. NeuroImage 36(4), 1065–1073 (2007)
Lee, J., Fonov, V., Evans, A.: Mapping brain growth of early childhood using deformation based morphometry. NeuroImage 47(suppl. 1), S153 (2009)
Gogtay, N., Giedd, J., Lusk, L., Hayashi, K., Greenstein, D., Vaituzis, A., Nugent, T., Herman, D., Clasen, L., Toga, A., Rapoport, J., Thompson, P.: Dynamic mapping of human cortical development during childhood through early adulthood. Proc. Natl. Acad. Sci. USA 101(21), 8174–8179 (2004)
Lepore, N., Brun, C.A., Chiang, M.C., Chou, Y.Y., Dutton, R.A., Hayashi, K.M., Lopez, O.L., Aizenstein, H., Toga, A.W., Becker, J.T., Thompson, P.M.: Multivariate statistics of the Jacobian matrices in tensor based morphometry and their application to HIV/AIDS. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol. 4190, pp. 191–198. Springer, Heidelberg (2006)
Zhang, H., Awate, S., Das, S., Woo, J., Melhem, E., Gee, J., Yushkevich, P.: A tract-specific framework for white matter morphometry combining macroscopic and microscopic tract features. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5762, pp. 141–149. Springer, Heidelberg (2009)
Chi, J., Dooling, E., Giles, F.: Gyral development of human brain. Annals of Neurology 1(1), 86–93 (1977)
Golub, G., Van Loan, C.: Matrix Computations, 3rd edn. Johns Hopkins Studies in Mathematical Sciences. The Johns Hopkins University Press, Baltimore (1996)
Studholme, C., Cardenas, V.: Population based analysis of directional information in serial deformation tensor morphometry. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part II. LNCS, vol. 4792, pp. 311–318. Springer, Heidelberg (2007)
Nichols, T., Holmes, A.: Nonparametric permutation tests for functional neuroimaging: A primer with examples. Human Brain Mapping 15, 1–25 (2002)
Fisher, R.: Statistical Methods for Research Workers. Oliver and Boyd (1932)
Lund, U.: Least circular distance regression for directional data. Journal of Applied Statistics 26(6), 723–733 (1999)
Kim, K., Habas, P., Rousseau, F., Glenn, O., Barkovich, J., Studholme, C.: Intersection based motion correction of multislice MRI for 3-D in utero fetal brain image formation. IEEE Transactions on Medical Imaging 29(1), 146–158 (2010)
Habas, P., Kim, K., Rousseau, F., Glenn, O., Barkovich, J., Studholme, C.: A spatio-temporal atlas of the human fetal brain with application to tissue segmentation. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5761, pp. 289–296. Springer, Heidelberg (2009)
Studholme, C., Cardenas, V.: A template free approach to volumetric spatial normalization of brain anatomy. Pattern Recogn. Lett. 25(10), 1191–1202 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rajagopalan, V. et al. (2010). Measures for Characterizing Directionality Specific Volume Changes in TBM of Brain Growth. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010. MICCAI 2010. Lecture Notes in Computer Science, vol 6362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15745-5_42
Download citation
DOI: https://doi.org/10.1007/978-3-642-15745-5_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15744-8
Online ISBN: 978-3-642-15745-5
eBook Packages: Computer ScienceComputer Science (R0)