Simultaneous in vivo synchrotron radiation computed tomography of regional ventilation and blood volume in rabbit lung using combined K-edge and temporal subtraction

Physics in Medicine and Biology
Heikki SuhonenPekka Suortti

Abstract

In K-edge subtraction (KES) imaging with synchrotron radiation computed tomography (SRCT), two images are taken simultaneously using energies above and below the K-absorption edge of a contrast agent. A logarithmic difference image reveals the contrast agent concentration with good accuracy. Similarly, in temporal subtraction imaging (TSI) the reference image is taken before the introduction of the contrast agent. Quantitative comparisons of in vivo images of rabbit lung indicated that similar results for concentrations of iodine in blood vessels and xenon in airways are obtained by KES and TSI, but the level of noise and artifacts was higher in the latter. A linear fit showed that in the lung parenchyma rho(TSI) = (0.97 +/- 0.03)rho(KES) + (0.00 +/- 0.05) for xenon and rho(TSI) = (1.21 +/- 0.15)rho(KES) + (0.0 +/- 0.1) for iodine. For xenon the calculation of time constant of ventilation gave compatible values for both of the methods. The two methods are combined for the simultaneous determination of the xenon concentration (by KES) and the iodine concentration (by TSI) in lung imaging, which will allow simultaneous in vivo determination of ventilation and perfusion.

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Citations

Dec 3, 2008·The Review of Scientific Instruments·Brian BewerDean Chapman
Sep 24, 2010·Experimental Lung Research·Chang ShiKlaus Markstaller
Sep 10, 2013·Respiratory Physiology & Neurobiology·Satu StrengellSam Bayat
Apr 30, 2017·Journal of Synchrotron Radiation·P DemanN L Ford
Apr 30, 2014·Physics in Medicine and Biology·Y ZhuD Chapman
Oct 25, 2014·Journal of Synchrotron Radiation·S StrengellL Porra
Sep 19, 2019·Scientific Reports·Stephanie KulpeDaniela Pfeiffer
Sep 21, 2013·Journal of Applied Crystallography·Goran LovricRajmund Mokso
May 24, 2017·American Journal of Respiratory Cell and Molecular Biology·Liisa PorraSam Bayat

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