JBO Letters

Modifications of iterative schemes used for curvature correction in noninvasive biomedical imaging

[+] Author Affiliations
Martin Ehler

University of Vienna, Faculty of Mathematics, A-1090 Vienna, Austria

J. Biomed. Opt. 18(10), 100503 (Oct 21, 2013). doi:10.1117/1.JBO.18.10.100503
History: Received July 18, 2013; Revised September 6, 2013; Accepted September 9, 2013
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Abstract.  Iterative polynomial fitting along image rows and columns has recently been used to remove curvature bias in multispectral image sets of the human forearm and phantoms. However, this method is only applicable if foreground and background features satisfy strong separation conditions. In this method, we verify that the iterative polynomial approach converges toward bivariate polynomial fitting, and, hence, the resulting fit corresponds to low-pass filtering the image. In contrast to the iterative fitting, the bivariate polynomial fit can be performed on images with missing or excluded parts. Indeed, our observation enables us to modify the scheme and significantly weaken the required assumptions on foreground/background separation allowing a wider range of application.

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© 2013 Society of Photo-Optical Instrumentation Engineers

Citation

Martin Ehler
"Modifications of iterative schemes used for curvature correction in noninvasive biomedical imaging", J. Biomed. Opt. 18(10), 100503 (Oct 21, 2013). ; http://dx.doi.org/10.1117/1.JBO.18.10.100503


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