Modeling the Effect of Intra-Voxel Diffusion of Contrast Agent on the Quantitative Analysis of Dynamic Contrast Enhanced Magnetic Resonance Imaging
Year: 2014
Type: article
Abstract: Quantitative dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) provides estimates of physiologically relevant parameters related to tissue blood flow, vascular permeability, and tissue volume fractions which can then be used for prognostic and diagnostic reasons. However, standard techniques for DCE-MRI analysis ignore intra-voxel diffusion, which may play an important role in contrast agent distribution and voxel signal intensity and, thus, will affect quantification of the aforementioned parameters. To investigate the effect of intra-voxel diffusion on quantitative DCE-MRI, we developed a finite element model of contrast enhancement at the voxel level. For diffusion in the range of that expected for gadolinium chelates in tissue (i.e., 1 × 10(-4) to 4 × 10(-4) mm(2)/s), parameterization errors range from -58% to 12% for K(trans), -9% to 8% for ve, and -60% to 213% for vp over the range of K(trans), v(e), v(p), and temporal resolutions investigated. Thus the results show that diffusion has a significant effect on parameterization using standard techniques.
Source: PLoS ONE
Institutions: Vanderbilt University, Vanderbilt-Ingram Cancer Center
Language: English
Topic: MRI in cancer diagnosis
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,382
Funder: National Cancer Institute
Awards: Multidisciplinary Training in Basic and Translational Imaging of Cancer, Evaluation and Validation of Imaging Biomarkers of Tumor Response to Treatment, MRI Assessment of Tumor Perfusion, Permeability and Cellularity, Image Driven Multi-Scale Modeling to Predict Treatment Response in Breast Cancer, SPORE in Breast Cancer, Cancer Center Support Grant
OpenAlex ID: W2090504102