Mehndiratta A.Calamante F.Macintosh B.J.Crane D.E.Payne S.J.Chappell M.A.STEPHEN JOHN PAYNE2022-05-242022-05-242014https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907952050&doi=10.1002%2fmrm.25056&partnerID=40&md5=03f580cdf98a198fbfd7eb38de2c404chttps://scholars.lib.ntu.edu.tw/handle/123456789/611786Purpose: An exponential residue function is commonly used in numerical simulations to assess the accuracy of perfusion quantification using dynamic susceptibility contrast (DSC) MRI. Although this might be a reasonable assumption for normal tissue, microvascular hemodynamics are likely to be significantly altered in pathology. Thus the exponential function may no longer be appropriate and the estimated accuracy of DSCMRI quantification might be inappropriate. The purpose of this study was to characterize in vivo residue function variations in normal and infarcted tissue in a chronic atherosclerotic disease cohort, and to find the most appropriate model for use in DSC simulations.Methods: Residue functions were measured in vivo in patients with atherosclerotic disease using a nonparametric Control Point Interpolation method, which has been shown to provide a robust characterization of the shape of the residue function. The observed residue functions were approximated with five commonly used analytical expressions: exponential, biexponential, Lorentzian, and Fermi functions, and a previously proposed Vascular Model.Results: The lowest error was found with the bi-exponential function approximations to the in vivo residue functions from both normal and infarcted tissue.Conclusion: A bi-exponential model should therefore be used in future numerical simulations of DSC-MRI instead of the exponential function. ? 2013 Wiley Periodicals, Inc.DeconvolutionDisease controlMagnetic susceptibilityNumerical modelsTissueAnalytical approximationAnalytical expressionsBi-exponential functionsDigital phantomsDSC simulationDynamic susceptibility ContrastPerfusion quantificationResidue functionsExponential functionsadultagedArticleatherosclerosisclinical articledynamic susceptibility contrast magnetic resonance imagingfemalehumanin vivo studymalemeasurement errornuclear magnetic resonance imagingnuclear magnetic resonance scannerresidue functionsimulationvalidityalgorithmbrain atherosclerosiscomputer assisted diagnosiscomputer simulationdiagnostic usediffusion weighted imagingecho planar imagingimage enhancementmiddle agedpathologyproceduressignal noise ratiovery elderlycontrast mediumgadolinium pentetateAgedAged, 80 and overAlgorithmsComputer SimulationContrast MediaDiffusion Magnetic Resonance ImagingEcho-Planar ImagingFemaleGadolinium DTPAHumansImage EnhancementImage Interpretation, Computer-AssistedIntracranial ArteriosclerosisMaleMiddle AgedSignal-To-Noise Ratio[SDGs]SDG3journal article10.1002/mrm.250562-s2.0-84907952050