@article{bda21fcc3f63444e9ff4b49d72e1919c,
title = "Detection of Perfusion Deficits in Multiphase Computed Tomography Angiography—A Stroke Imaging Technique Based on Iodine Mapping on Spectral Computed Tomography: Initial Findings",
abstract = "Objective: The purpose of this study was to explore a novel method forbrain tissue differentiation using quantitative analysis of multiphase computedtomography (CT) angiography (MP-CTA) on spectral CT, to assesswhether it can distinguish underperfused fromnormal tissue, using CT perfusion(CTP) as reference.Methods: Noncontrast CT and MP-CTA images from 10 patients wereanalyzed in vascular regions through measurements of Hounsfield unit (HU)at 120 kV, HU at 40 keV, and iodine density. Regions were categorizedas normal or ischemic according to CTP. Hounsfield unit and iodinedensity were compared regarding ability to separate normal and ischemictissue, the difference in maximum time derivative of the right overleft hemisphere ratio.Results: Iodine density had the highest maximum time derivatives andgenerated the largest mean separation between normal and ischemic tissue.Conclusions: The method can be used to categorize tissue as normal orunderperfused. Using iodine quantification seems to give a more distinctdifferentiation of perfusion defects compared with conventional HU.",
author = "Veronica Fransson and Helena Mellander and Johan Wasselius and Kristina Ydstr{\"o}m",
year = "2021",
doi = "10.1097/RCT.0000000000001173",
language = "English",
volume = "45",
pages = "618--624",
journal = "Journal of Computer Assisted Tomography",
issn = "1532-3145",
publisher = "Lippincott Williams & Wilkins",
number = "4",
}