Zusammenfassung
Histological examination of atherosclerotic plaques is the gold standard for the analysis of vessel plaque composition. The digitalization of the microscopic histology images results in a set of image tiles with overlapping regions of the same histological 2D slice. To allow comparison with other imaging modalities the tiles must be stitched together to a complete image of the plaque. The purpose of this work is to develop custom processing methods for the intensity correction and stitching problems. The developed methods are applied to 19 plaque images from an ongoing study. Results are compared with manual as well as automatic photo stitching.
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.
Literatur
Sanz J, Fayad ZA. Imaging of atherosclerotic cardiovascular disease. Nature. 2008;451(7181):953–957.
Tomaževič D, Likar B, Pernuš F. Comparative evaluation of retrospective shading correction methods. J Microsc. 2002;208(3):212–223.
BrownM, Lowe DG. Automatic panoramic image stitching using invariant features. Int J Comput Vis. 2007;74(1):59–73.
Yang F, Deng ZS, Fan QH. A method for fast automated microscope image stitching. Micron. 2013;48:17–25.
Penzias G, Janowczyk A, Singanamalli A, et al. AutoStitcher: An automated program for efficient and robust reconstruction of digitized whole histological sections from tissue fragments. Sci Rep. 2016;6:29906.
Yu W. Practical anti-vignetting methods for digital cameras. IEEE Trans Consum Electronic. 2004;50(4):975–983.
Goldman DB, Chen JH; IEEE. Vignette and exposure calibration and compensation. Proc IEEE ICCV. 2005;1:899–906.
Babaloukas G, Tentolouris N, Liatis S, et al. Evaluation of three methods for retrospective correction of vignetting on medical microscopy images utilizing two open source software tools. J Microsc. 2011;244(3):320–324.
Sled JG, Zijdenbos AP, Evans AC. A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans Med Imaging. 1998;17(1):87–97.
Modersitzki J. Numerical methods for Image Registration. Oxford University Press on Demand; 2004.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer-Verlag GmbH Deutschland
About this paper
Cite this paper
Kaufhold, L., Goebel, H., Mirzaee, H., Strecker, C., Harloff, A., Hennemuth, A. (2018). Background Correction and Stitching of Histological Plaque Images. In: Maier, A., Deserno, T., Handels, H., Maier-Hein, K., Palm, C., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2018. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-56537-7_39
Download citation
DOI: https://doi.org/10.1007/978-3-662-56537-7_39
Published:
Publisher Name: Springer Vieweg, Berlin, Heidelberg
Print ISBN: 978-3-662-56536-0
Online ISBN: 978-3-662-56537-7
eBook Packages: Computer Science and Engineering (German Language)