Abstract
This article deals with image and volume registration of stacks of serial optical slices from a large biological tissue specimen captured by a confocal microscope. Due to the limited depth of observation and the restricted field of view of the confocal microscope the oversized specimen has to be sliced into smaller physical sections and scanned individually. The composition of the stacks of optical slices, which is based on data registration, is achieved in two steps. First, sub-volumes are created by volume registration of overlapping stacks of optical slices (volumes) captured from individual physical section. Second, image registration of peripheral images of sub-volumes of neighboring physical slices makes possible to compose 3D image of the whole specimen. Both registrations are based on similarity measures, such as the sum of absolute valued differences, normalized correlation coefficient, and mutual information. Data registration requires optimization of the search for the global extreme of a similarity measure over a parametrical space. Therefore, optimization strategies—n-step search, adaptive simulated annealing and stochastic approach—are used, and their optimal set-up is presented. The composition of stacks enables us to visualize and study a large biological specimen in 3D in high resolution.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
apek, M., Krekule, I., Kubínová, L.: Practical Experiments with Automatic Image Registration of Serial Optical Slices of Thick Tissue. Conf. Proc., 8-th Intern. IMEKO Conf. on Measurement in Clinical Medicine, Dubrovnik, Croatia, p. 10–6–10–9, September 1998.
apek, M., Krekule, I.: Alignment of Adjacent Picture Frames Captured by a CLSM. IEEE Transaction on Information Technology in Biomedicine, 1999. In press.
Brown, L. G.: A Survey of Image Registration Techniques. ACM Computing Surveys, Vol. 24,No. 4, p. 325–376, December 1992.
Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., Suetens, P.: Multimodality Image Registration by Maximization of Mutual Information. IEEE Trans. Med. Imag., Vol. 16,No. 2, p. 187–198, April 1997.
apek, M.: Optimisation Strategies Applied to Global Similarity Based Image Registration Methods. Conf. Proc., 7-th Intern. Conf. in Central Europe on Computer Graphics, Visualization and Interactive Digital Media'99, Plze, Czech Republic, February 1999. In press.
Parker, J. R.: Algorithms for Image Processing and Computer Vision. John Wiley & Sons, Inc., New York, 1997.
Press, W. H., et al.: Numerical Recipes in C: the Art of Scientific Computing. 2nd ed., Cambridge University Press, New York, 1992.
Ingber, L.: Simulated Annealing: Practice versus Theory. Mathl. Comput. Modelling, Vol. 18,No. 11, p. 29–57, 1993.
Dani, P., Chaudhuri, S.: Automated Assembling of Images: Image Montage Preparation. Pattern Recognition, Vol. 28,No. 3, p. 431–445, 1995.
Tekalp, A., M.: Digital Video Processing. Prentice Hall, New York, 1995.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ĉapek, M. (1999). Registration and Composition of Stacks of Serial Optical Slices Captured by a Confocal Microscope. In: Solina, F., Leonardis, A. (eds) Computer Analysis of Images and Patterns. CAIP 1999. Lecture Notes in Computer Science, vol 1689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48375-6_15
Download citation
DOI: https://doi.org/10.1007/3-540-48375-6_15
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66366-9
Online ISBN: 978-3-540-48375-5
eBook Packages: Springer Book Archive