Abstract
Fluorescent confocal laser scanning microscope (CLSM) imaging has become popular in medical domain for the purpose of 3D information extraction. 3D information is extracted either by visual inspection or by automated techniques. Nonetheless, 3D information extraction from CLSM suffers from significant lateral intensity heterogeneity. We propose a novel lateral intensity heterogeneity correction technique to improve accurate image analysis, e.g., quantitative analysis, segmentation, or visualization. The proposed technique is novel in terms of its design (spatially adaptive mean-weight filtering) and application (CLSM), as well as its properties and full automation. The key properties of the intensity correction techniques include adjustment of intensity heterogeneity, preservation of fine structural details, and enhancement of image contrast. The full automation is achieved by data-driven parameter optimization and introduction of several evaluation metrics. We evaluated the performance by comparing with three other techniques, four quality metrics, and two realistic synthetic images and one real CLSM image.
This is a preview of subscription content, log in via an institution to check access.
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
Chen, X., Ai, Z., Rasmussen, M., Bajcsy, P., Auvil, L., Welge, M., Leach, L., Folberg, R.: Three-dimensional reconstruction of extravascular matrix patterns and blood vessels in human uveal melanoma tissue: Preliminary findings. Invest. Ophthal. & Vis. Sci. 44, 2834–2840 (2003)
Benson, D., Bryan, J., Plant, A., Gotto, A., Smith, L.: Digital Imaging fluorescence microscopy: Spatial heterogeneity of photobleaching rate constants in individual cells. J. Cell Biol. 100, 1309–1323 (1985)
Jungke, M., von Seelen, W., Bielke, G., Meindl, S., et al.: A system for the diagnostic use of tissue characterizing parameters in NMR-tomography. In: Proc. of Info. Proc. in Med. Imaging, IPMI 1987, vol. 39, pp. 471–481 (1987)
Rigaut, J., Vassy, J.: High-resolution 3D images from confocal scanning laser microscopy: quantitative study and mathematical correction of the effects from bleaching and fluorescence attenuation in depth. Anal. Quant. Cytol. 13, 223–232 (1991)
Oostveldt, P.V., Verhaegen, F., Messen, K.: Heterogenous photobleaching in confocal microscopy caused by differences in refractive index and excitation mode. Cytometry 32, 137–146 (1998)
Tauer, U., Hils, O.: Confocal Spectrophotometry. Sci. and Tech. Info., Sp. issue: Confocal Microscopy, CDR 4, 15–27 (2000)
Rodenacker, K., Aubele, P., Hutzler, M., Adiga, P.: Groping for quantitative digital 3-D image analysis: an approach to quantitative fluorescence in situ hybridization in thick tissue sections of prostate carcinoma. Anal. Cell. Pathol. 15, 19–29 (1997)
Irinopoulo, T., Vassy, J., Beil, M., Nicolopoulo, P., Encaoua, D., Rigaut, J.: 3-D DNA image cytometry by confocal scanning lasermicroscopy in thick tissue blocks of prostatic lesions. Cytometry 27, 99–105 (1997)
Roerdink, J., Bakker, M.: An FFT-based method for attenuation correction in fluorescence confocal microscopy. J. Microsc. 169, 3–14 (1993)
Liljeborg, A., Czader, M., Porwit, A.: A method to compensate for light attenuation with depth in 3D DNA image cytometry using a confocal scanning laser microscope. J. Microsc. 177, 108–114 (1995)
Kervrann, C., Legland, D., Pardini, L.: Robust incremental compensation of the light attenuation with depth in 3D fluorescence microscopy. J. Microsc. 214, 297–314 (2004)
Oostveldt, P., Verhaegen, F., Messens, K.: Heterogeneous photobleaching in confocal microscopy caused by differences in refractive index and excitation mode. Cytometry 32, 137–146 (1998)
Gonzalez, R., Woods, E.: Digital Image Processing, 2nd edn. Prentice Hall, Englewood Cliffs (2002)
Pizer, S.M., Zimmerman, J.B., Stabb, E.: Adaptive grey level assignment in CT scan display. J. Comp. Assist. Tomography 8, 300–305 (1984)
Pisano, E., Zong, S., Hemminger, M., De Luca, M., Johnsoton, R., Muller, K., Braeuning, M., Pizer, S.: Contrast Limited Adaptive Histogram Equalization Image Processing to Improve the Detection of Simulated Spiculations in Dense Mammograms. J. Digital Imaging 11(4), 193–200 (1998)
Styner, M., Brechbuhler, C., Szekely, G., Gerig, G.: Parametric estimate of intensity inhomogeneities applied to MRI. IEEE Trans. Med. Imaging 19(3), 153–165 (2000)
Sanchez-Brea, L.M., Bernabeu, E.: On the standard deviation in CCD cameras: a variogram-based technique for non-uniform images. J. Electronic Imaging 11(2), 121–126 (2002)
Hu, J., Razdan, A., Nielson, G., Farin, G., Baluch, D., Capco, D.: Volumetric Segmentation Using Weibull E-SD Fields. IEEE Trans. on Vis. and Comp. Graphics 9(3) (2003)
Weisstein, E.: Least Squares Fitting–Exponential from MathWorld–A Wolfram Web Resource, http://mathworld.wolfram.com/LeastSquaresFittingExponential.html
Mangin, J.: Entropy minimization for automatic correction of intensity nonuniformity Math. Method in Biomed. Image Analysis (MMBIA), 162–169 (2000)
Bajcsy, P., Groves, P.: Methodology for Hyperspectral Band Selection. Photo. Eng. and Remote Sensing J. 70, 793–802 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lee, SC., Bajcsy, P. (2006). Spatial Intensity Correction of Fluorescent Confocal Laser Scanning Microscope Images. In: Beichel, R.R., Sonka, M. (eds) Computer Vision Approaches to Medical Image Analysis. CVAMIA 2006. Lecture Notes in Computer Science, vol 4241. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11889762_13
Download citation
DOI: https://doi.org/10.1007/11889762_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46257-6
Online ISBN: 978-3-540-46258-3
eBook Packages: Computer ScienceComputer Science (R0)