CT-perfusion imaging of the human brain: advanced deconvolution analysis using circulant singular value decomposition.
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.
Wittsack
H J
HJ
Institute of Diagnostic Radiology, University of Duesseldorf, Moorenstrasse 5, 40225 Duesseldorf, Germany. wittsack@uni-duesseldorf.de
Wohlschläger
A M
AM
Ritzl
E K
EK
Kleiser
R
R
Cohnen
M
M
Seitz
R J
RJ
Mödder
U
U
D000368:Aged; D001783:Blood Flow Velocity; D001921:Brain / Q000098:blood supply* / Q000000981:diagnostic imaging*; D003287:Contrast Media; D004395:Dye Dilution Technique; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging; D008297:Male; D008432:Mathematical Computing; D008875:Middle Aged; D010477:Perfusion; D014057:Tomography, X-Ray Computed / Q000379:methods
D003287:Contrast Media