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http://dx.doi.org/10.5573/ieek.2013.50.6.276

Comparison of Thresholding Techniques for SVD Coefficients in CT Perfusion Image Analysis  

Kim, Nak Hyun (Dept. of Digital Information Engineering, Hankuk University of Foreign Studies)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.50, no.6, 2013 , pp. 276-286 More about this Journal
Abstract
SVD-based deconvolution algorithm has been known as the most effective technique for CT perfusion image analysis. In this algorithm, in order to reduce noise effects, SVD coefficients smaller than a certain threshold are removed. As the truncation threshold, either a fixed value or a variable threshold yielding a predetermined OI (oscillation index) is frequently employed. Each of these two thresholding methods has an advantage to the other either in accuracy or efficiency. In this paper, we propose a Monte Carlo simulation method to evaluate the accuracy of the two methods. An extension of the proposed method is presented as well to measure the effects of image smoothing on the accuracy of the thresholding methods. In this paper, after the simulation method is described, experimental results are presented using both simulated data and real CT images.
Keywords
CT perfusion; deconvolution; singular value decomposition; cerebral blood flow (CBF);
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