Journal
INTERNATIONAL JOURNAL OF BIOMEDICAL IMAGING
Volume 2011, Issue -, Pages -Publisher
HINDAWI LTD
DOI: 10.1155/2011/467563
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Funding
- German Research Foundation (DFG)
- NIH [1K99EB007676]
- Lucas Foundation
- NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING [K99EB007676] Funding Source: NIH RePORTER
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Deconvolution-based analysis of CT and MR brain perfusion data is widely used in clinical practice and it is still a topic of ongoing research activities. In this paper, we present a comprehensive derivation and explanation of the underlying physiological model for intravascular tracer systems. We also discuss practical details that are needed to properly implement algorithms for perfusion analysis. Our description of the practical computer implementation is focused on the most frequently employed algebraic deconvolution methods based on the singular value decomposition. In particular, we further discuss the need for regularization in order to obtain physiologically reasonable results. We include an overview of relevant preprocessing steps and provide numerous references to the literature. We cover both CT and MR brain perfusion imaging in this paper because they share many common aspects. The combination of both the theoretical as well as the practical aspects of perfusion analysis explicitly emphasizes the simplifications to the underlying physiological model that are necessary in order to apply it to measured data acquired with current CT and MR scanners.
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