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CT-perfusion Imaging of the Human Brain: Advanced Deconvolution Analysis Using Circulant Singular Value Decomposition

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Specialty Radiology
Date 2007 Nov 22
PMID 18029143
Citations 19
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Abstract

According to indicator dilution theory tissue time-concentration curves have to be deconvolved with arterial input curves in order to get valid perfusion results. Our aim was to adapt and validate a deconvolution method originating from magnetic resonance techniques and apply it to the calculation of dynamic contrast enhanced computed tomography perfusion imaging. The application of a block-circulant matrix approach for singular value decomposition renders the analysis independent of tracer arrival time to improve the results.

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