Abstract
The aim of this communication is to present the design of a code for image registration based on a modular structure which allows to easily combine and interchange different image models, transformation classes and image “distance” functionals, which are dealt with by independent modules which can be implemented transparently to each other. The code is tested by comparing several registration strategies on medical images.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Parzen, E.: On estimation of a probability density function and mode. Annals Math. Statist. 33, 1065–1076 (1962)
Thévenaz, P., Unser, M.: Optimization of Mutual Information for Multiresolution Image Registration. IEEE Transactions on Image Processing 9, 2083–2099 (2000)
Khoo, V.S., Dearnaley, D.P., Finnigan, D.J., Padhani, A., Tanner, S.F., Leach, M.O.: Magnetic Resonance Imaging (MRI): considerations and applications in radiotherapy treatment planning. Radiother. Oncol. (1997)
Larie, S.M., Abukmeil, S.S.: Brain abnormality in schizophrenia: a Systematic and quantitative review of volumetric magnetic resonance imaging studies. J. Psych. 172, 110–120 (1998)
Wort, A.J., Makris, N., Caviness, V.S., Kennedy, D.N.: Neuroanatomical segmentation in MRI: technological objectives. Int. J. Patt. Rec. Art. Intel. (1997)
Rohlfing, T., Brandt, R., Menzel, R., Russakoff, D.B., Maurer Jr., C.R.: Quo Vadis, Atlas-Based Segmentation? In: Suri, J., Wilson, D.L., Laxminarayan, S. (eds.) The Handbook of Medical Image Analysis: Segmentation and Registration Models, pp. 435–486. Kluwer Academic / Plenum Publishers (2005)
Brunet, D., Vrscay, E.R., Wang, Z.: A class of image metrics based on the structural similarity quality index. In: Kamel, M., Campilho, A. (eds.) ICIAR 2011, Part I. LNCS, vol. 6753, pp. 100–110. Springer, Heidelberg (2011)
Maggi, G.: Multilevel Registration Algorithms for Medical Images. PhD thesis, Department of Mathematics, University of Pavia (2012)
Donoho, D.: Interpolating Wavelet Transform. Technical Report, Stanford University (1992), http://www-stat.stanford.edu/~donoho/Reports/1992/interpol.pdf
Bertoluzza, S., Naldi, G.: A wavelet collocation method for the numerical solution of partial differential equations. Appl. and Comput. Harm. Anal. 3, 1–9 (1996)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bertoluzza, S., Maggi, G., Tomatis, S. (2013). A Modular Registration Algorithm for Medical Images. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2013. Lecture Notes in Computer Science, vol 7950. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39094-4_53
Download citation
DOI: https://doi.org/10.1007/978-3-642-39094-4_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39093-7
Online ISBN: 978-3-642-39094-4
eBook Packages: Computer ScienceComputer Science (R0)