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A comparison of individual and population-derived vascular input functions for quantitative DCE-MRI in rats

dc.creatorHormuth, David Andrew II
dc.date.accessioned2020-08-23T15:55:41Z
dc.date.available2014-12-07
dc.date.issued2012-12-07
dc.identifier.urihttps://etd.library.vanderbilt.edu/etd-11282012-152629
dc.identifier.urihttp://hdl.handle.net/1803/14849
dc.description.abstractDynamic contrast enhanced magnetic resonance imaging (DCE-MRI) is a method that can be used to quantitatively and qualitatively assess physiological characteristics of tissue. Quantitative DCE-MRI requires an estimate of the time rate of change of the concentration of the contrast agent in the blood plasma; the so-called vascular input function, or VIF. Measuring the VIF is notoriously difficult as it requires high temporal resolution images limiting the achievable number of slices, field-of-view, spatial resolution, and signal-to-noise. Alternatively, a population-averaged VIF could be used to mitigate the acquisition demands in studies aimed to investigate, for example, tumor vascular characteristics. Eight rats inoculated with C6 glioma cells underwent DCE-MRI at 9.4T. A set of dynamic spoiled gradient-echo images was acquired before, during, and after a bolus injection of Gd-DTPA (Magnevist, Wayne, NJ). Pharmacokinetic parameters (Ktrans, ve, and vp) were extracted from signal-time curves of tumor tissue using both individual and population-averaged VIFs. Standard model voxel values of Ktrans and ve estimated using a population-averaged VIF have a high correlation (concordance correlation coefficient > 0.7852) and a strong linear relationship (Pearson correlation coefficient > 0.9802) with Ktrans and ve values estimated using an individual VIF. Additionally, the extended model voxel values of Ktrans, ve, and vp also showed a high correlation (concordance correlation coefficient > 0.6931) and a strong linear relationship (Pearson correlation coefficient > 0.9159) supporting the use of a population based VIF in DCE-MRI.
dc.format.mimetypeapplication/pdf
dc.subjectCancer
dc.subjectImaging
dc.subjectDCE-MRI
dc.subjectMRI
dc.titleA comparison of individual and population-derived vascular input functions for quantitative DCE-MRI in rats
dc.typethesis
dc.contributor.committeeMemberMark D. Does
dc.type.materialtext
thesis.degree.nameMS
thesis.degree.levelthesis
thesis.degree.disciplineBiomedical Engineering
thesis.degree.grantorVanderbilt University
local.embargo.terms2014-12-07
local.embargo.lift2014-12-07
dc.contributor.committeeChairThomas E. Yankeelov


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