Image reconstruction in dynamic contrast enhanced magnetic resonance imaging

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Publication Type dissertation
School or College College of Engineering
Department Bioengineering
Author Chen, Liyong
Title Image reconstruction in dynamic contrast enhanced magnetic resonance imaging
Date 2012-05
Description Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) is a powerful tool to detect cardiac diseases and tumors, and both spatial resolution and temporal resolution are important for disease detection. Sampling less in each time frame and applying sophisticated reconstruction methods to overcome image degradations is a common strategy in the literature. In this thesis, temporal TV constrained reconstruction that was successfully applied to DCE myocardial perfusion imaging by our group was extended to three-dimensional (3D) DCE breast and 3D myocardial perfusion imaging, and the extension includes different forms of constraint terms and various sampling patterns. We also explored some other popular reconstruction algorithms from a theoretical level and showed that they can be included in a unified framework. Current 3D Cartesian DCE breast tumor imaging is limited in spatiotemporal resolution as high temporal resolution is desired to track the contrast enhancement curves, and high spatial resolution is desired to discern tumor morphology. Here temporal TV constrained reconstruction was extended and different forms of temporal TV constraints were compared on 3D Cartesian DCE breast tumor data with simulated undersampling. Kinetic parameters analysis was used to validate the methods.
Type Text
Publisher University of Utah
Subject Cardiac; Compressed sensing; Constrained reconstruction; Image reconstruction; MRI
Subject LCSH Image reconstruction; Magnetic resonance imaging; Contrast-enhanced magnetic resonance imaging
Dissertation Institution University of Utah
Dissertation Name Doctor of Philosophy
Language eng
Rights Management Copyright © Liyong Chen 2012
Format Medium application/pdf
Format Extent 3,051,174 bytes
Identifier us-etd3/id/690
Source Original in Marriott Library Special Collections, TA7.5 2012 .C44
ARK ark:/87278/s65h7x1h
Setname ir_etd
Date Created 2012-05-04
Date Modified 2017-06-12
ID 194849
Reference URL