Abstract
Longitudinal imaging studies are frequently used to investigate temporal changes in brain morphology. Image intensity may also change over time, for example when studying brain maturation. However, such intensity changes are not accounted for in image similarity measures for standard image registration methods. Hence, (i) local similarity measures, (ii) methods estimating intensity transformations between images, and (iii) metamorphosis approaches have been developed to either achieve robustness with respect to intensity changes or to simultaneously capture spatial and intensity changes. For these methods, longitudinal intensity changes are not explicitly modeled and images are treated as independent static samples. Here, we propose a model-based image similarity measure for longitudinal image registration in the presence of spatially non-uniform intensity change.
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Barkovich, A.J., Kjos, B.O., Jackson, D.E., Norman, D.: Normal maturation of the neonatal and infant brain: MR imaging at 1.5T. Radiology 166, 173–180 (1988)
Broit, C.: Optimal registration of deformed images. Ph.D. thesis, University of Pennsylvania (1981)
Csapo, I., Davis, B., Shi, Y., Sanchez, M., Styner, M., Niethammer, M.: Temporally-Dependent Image Similarity Measure for Longitudinal Analysis. In: Dawant, B.M., Christensen, G.E., Fitzpatrick, J.M., Rueckert, D. (eds.) WBIR 2012. LNCS, vol. 7359, pp. 99–109. Springer, Heidelberg (2012)
Dobbing, J., Sands, J.: Quantitative growth and development of human brain. Archives of Disease in Childhood 48(10), 757–767 (1973)
Durrleman, S., Pennec, X., Trouvé, A., Gerig, G., Ayache, N.: Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009, Part I. LNCS, vol. 5761, pp. 297–304. Springer, Heidelberg (2009)
Fekedulegn, D., Siurtain, M.P.M., Colbert, J.J.: Parameter estimation of nonlinear growth models in forestry. Silva Fennica 33(4), 327–336 (1999)
Fishbaugh, J., Durrleman, S., Gerig, G.: Estimation of Smooth Growth Trajectories with Controlled Acceleration from Time Series Shape Data. In: Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011, Part II. LNCS, vol. 6892, pp. 401–408. Springer, Heidelberg (2011)
Friston, K., Ashburner, J., Frith, C., Poline, J., Heather, J.D., Frackowiak, R.: Spatial registration and normalization of images. Human Brain Mapping 2, 165–189 (1995)
Loeckx, D., Slagmolen, P., Maes, F., Vandermeulen, D., Suetens, P.: Nonrigid image registration using conditional mutual information. IEEE Transactions on Medical Imaging 29(1), 19–29 (2010)
Miller, M.I., Younes, L.: Group actions, homeomorphisms, and matching: A general framework. International Journal of Computer Vision 41(1/2), 61–84 (2001)
Roche, A., Guimond, A., Ayache, N., Meunier, J.: Multimodal Elastic Matching of Brain Images. In: Vernon, D. (ed.) ECCV 2000. LNCS, vol. 1843, pp. 511–527. Springer, Heidelberg (2000)
Sampaio, R.C., Truwit, C.L.: Myelination in the developing brain. In: Handbook of Developmental Cognitive Neuroscience, pp. 35–44. MIT Press (2001)
Studholme, C., Drapaca, C., Iordanova, B., Cardenas, V.: Deformation-based mapping of volume change from serial brain mri in the presence of local tissue contrast change. IEEE Transactions on Medical Imaging 25(5), 626–639 (2006)
Styner, M., Knickmeyer, R., Coe, C., Short, S.J., Gilmore, J.: Automatic regional analysis of dti properties in the developmental macaque brain. Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, vol. 6914 (2008)
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Csapo, I., Davis, B., Shi, Y., Sanchez, M., Styner, M., Niethammer, M. (2012). Longitudinal Image Registration with Non-uniform Appearance Change. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. MICCAI 2012. Lecture Notes in Computer Science, vol 7512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33454-2_35
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DOI: https://doi.org/10.1007/978-3-642-33454-2_35
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