University of Texas Health Science Center at Houston
Hyperpolarized Carbon-13 Magnetic Resonance Measurements of Tissue Perfusion and Metabolism
Abstract
dc:description.abstract<p>Hyperpolarized Magnetic Resonance Imaging (HP MRI) is an emerging modality that enables non-invasive interrogation of cells and tissues with unprecedented biochemical detail. This technology provides rapid imaging measurements of the activity of a small quantity of molecules with a strongly polarized nuclear magnetic moment. This polarization is created in a polarizer separate from the imaging magnet, and decays continuously towards a non-detectable thermal equilibrium once the imaging agent is removed from the polarizer and administered by intravenous injection. Specialized imaging strategies are therefore needed to extract as much information as possible from the HP signal during its limited lifetime.</p> <p>In this work, we present innovative strategies for measurement of tissue perfusion and metabolism with HP MRI. These techniques include the capacity to sensitize the imaging signal to the diffusive motion of HP molecules, providing improved accuracy and reproducibility for assessment of agent uptake in tissue. The proposed methods were evaluated in numerical simulations, implemented on a preclinical MRI system and demonstrated <em>in vivo </em>in rodents through imaging of HP <sup>13</sup>C urea. Using the simulation and imaging infrastructure developed in this work, established methods for encoding HP chemical signals were compared quantitatively. Lastly, our method was adapted for imaging of [2-<sup>13</sup>C]dihydroxyacetone, a novel HP agent that probes enzymatic flux through multiple biochemical pathways <em>in vivo</em>.</p> <p>Our results demonstrate the capacity of HP MRI to measure tissue perfusion and metabolism in ways not possible with the imaging modalities currently available in the clinic. As the use of HP MRI advances in clinical investigations of human disease, these imaging measurements can offer real-time and individualized information on disease states for early detection and therapeutic guidance.</p>
Degree
thesis:*- Name thesis:degree_name
- Doctor of Philosophy (PhD)
- Level thesis:degree_level
- Dissertation (PhD)
- Year dc:date.available
- 2020
Author and committee
dc:creator, dc:contributor.*- Authors dc:creator
-
- Michel, Keith
- <p>0000-0002-4330-6881</p>
- Contributors dc:contributor
-
- James A. Bankson, Ph.D.
- John D. Hazle, Ph.D.
- R. Jason Stafford, Ph.D.
Subjects
dc:subject × 16- Magnetic Resonance Imaging
- Molecular Imaging
- Metabolic Imaging
- Hyperpolarized MRI
- Pharmacokinetic Modeling
- Quantitative Imaging
- Biochemical Phenomena, Metabolism, and Nutrition
- Biological and Chemical Physics
- Medical Biochemistry
- Medical Biophysics
- Medical Biotechnology
- Medical Molecular Biology
- Medicine and Health Sciences
- Neoplasms
- Nutritional and Metabolic Diseases
- Radiology
Identifiers
dc:identifier.*- Repository record dc:identifier
- https://digitalcommons.library.tmc.edu/utgsbs_dissertations/1041
- OAI identifier oai:identifier
- oai:digitalcommons.library.tmc.edu:utgsbs_dissertations-2094