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Updated: Jul 10, 2026

Blood Flow Imaging with Ultrafast Doppler
Published on: October 14, 2020
CT-perfusion imaging of the human brain: advanced deconvolution analysis using circulant singular value decomposition
H J Wittsack1, A M Wohlschläger, E K Ritzl
1Institute of Diagnostic Radiology, University of Duesseldorf, Moorenstrasse 5, 40225 Duesseldorf, Germany. wittsack@uni-duesseldorf.de
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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