Modeling the residue function in DSC-MRI simulations: Analytical approximation to in vivo data
Journal
Magnetic Resonance in Medicine
Journal Volume
72
Journal Issue
5
Pages
1486-1491
Date Issued
2014
Author(s)
Abstract
Purpose: 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.
Subjects
Deconvolution
Disease control
Magnetic susceptibility
Numerical models
Tissue
Analytical approximation
Analytical expressions
Bi-exponential functions
Digital phantoms
DSC simulation
Dynamic susceptibility Contrast
Perfusion quantification
Residue functions
Exponential functions
adult
aged
Article
atherosclerosis
clinical article
dynamic susceptibility contrast magnetic resonance imaging
female
human
in vivo study
male
measurement error
nuclear magnetic resonance imaging
nuclear magnetic resonance scanner
residue function
simulation
validity
algorithm
brain atherosclerosis
computer assisted diagnosis
computer simulation
diagnostic use
diffusion weighted imaging
echo planar imaging
image enhancement
middle aged
pathology
procedures
signal noise ratio
very elderly
contrast medium
gadolinium pentetate
Aged
Aged, 80 and over
Algorithms
Computer Simulation
Contrast Media
Diffusion Magnetic Resonance Imaging
Echo-Planar Imaging
Female
Gadolinium DTPA
Humans
Image Enhancement
Image Interpretation, Computer-Assisted
Intracranial Arteriosclerosis
Male
Middle Aged
Signal-To-Noise Ratio
SDGs
Type
journal article