Using a voxel-based krogh cylinder array to simulate microvascular contrast enhancement

Bradley, Daniel S.

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https://hdl.handle.net/2142/24277 Copy

Description

Title

Using a voxel-based krogh cylinder array to simulate microvascular contrast enhancement

Author(s)

Bradley, Daniel S.

Issue Date

2011-05-25T15:08:57Z

Director of Research (if dissertation) or Advisor (if thesis)

Aref, Michael

Department of Study

Nuclear, Plasma, & Rad Engr

Discipline

Nuclear, Plasma, Radiolgc Engr

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

M.S.

Degree Level

Thesis

Keyword(s)

• Dynamic Contrast Enhanced Magnetic Resonance Imaging
• Magnetic resonance imaging (MRI)
• Contrast Agent
• Numerical Simulation
• Gadolinium
• Krogh
• Krogh Lattice

Abstract

The goal of this study is to better simulate microscopic and voxel-based dynamic contrast enhancement in magnetic resonance imaging. Specifically, errors imposed by the traditional two-compartment model are reduced by introducing a novel Krogh cylinder network. The two-compartment model was developed for macroscopic pharmacokinetic analysis of dynamic contrast enhancement and generalizing it to voxel dimensions, due to the significant decrease in scale, imposes physiologically unrealistic assumptions. In the project, a system of microscopic exchange between plasma and extravascular-extracellular space is built while numerically simulating the local contrast agent flow between and inside image elements. To do this, tissue parameter maps were created, contrast agent was introduced to the tissue via a flow lattice, and various data sets were simulated. The effects of sources, tissue heterogeneity, and the contribution of individual tissue parameters to an image are modeled. Further, the study attempts to demonstrate the effects of a priori flow maps on image contrast, indicating that flow data is as important as permeability data when analyzing tumor contrast enhancement. In addition, the simulations indicate that it may be possible to obtain tumor-type diagnostic information by acquiring both flow and permeability data.

Graduation Semester

2011-05

Permalink

http://hdl.handle.net/2142/24277

Copyright and License Information

Copyright 2011 Daniel S. Bradley

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