Theses most similar to Tissue oxymetry using magnetic resonance spectroscopy (Liu, Lisa Chiawen; 2005) read it
Solutions to various problems in reversible cooling fMRI studies
Khachaturian, Mark Haig, 1979- (2003)
- Advisor: Wim Vanduffel
- Department of Nuclear Engineering
Predictive models of tissue outcome in acute human cerebral ischemia using diffusion and perfusion weighted MRI
Wu, Ona (2002)
- Advisors: A. Gregory Sorensen; Martha L. Gray
- Department of Electrical Engineering and Computer Science
The dependence of NMR measured diffusion, magnetization transfer, and T2 relaxation on fractional water content in bovine articular cartilage
Liu, Arthur K. (Arthur Kuang-Chung) (1995)
- Advisor: Deborah Burstein
- Department of Electrical Engineering and Computer Science
Thermal-based probe for testing endothelial dysfunction and possible implications for diagnosing atherosclerosis
Lediju, Muyinatu A. (Muyinatu Adebisi) (2006)
- Advisor: H. Frederick Bowman
- Department of Mechanical Engineering
- Advisor: Deborah Burstein
- Department of Electrical Engineering and Computer Science
- Advisors: Bruce R. Rosen; Jacquelyn C. Yanch
- Department of Nuclear Engineering
Phase-based regional oxygen metabolism in magnetic resonance imaging at high field
Fan, Audrey Peiwen (2010)
- Advisor: Elfar Adalsteinsson
- Department of Electrical Engineering and Computer Science
A spectral analysis method to quantify the relative contribution of different length scales to heterogeneity in PET images of pulmonary function
Call, Daniel M. (Daniel Marcus), 1973- (2000)
- Advisor: José G. Venegas
- Department of Mechanical Engineering
Development, testing, and application of quantitative oxygenation imaging from magnetic susceptibility by MRI
Fan, Audrey Peiwen (2014)
- Advisor: Elfar AdalIsteinsson
- Department of Electrical Engineering and Computer Science
Improved accuracy in susceptibility-based OEF measurements by mitigation of partial-volume effects via combined magnitude and phase reconstruction
McDaniel, Patrick C (2015)
- Advisor: Elfar Adalsteinsson
- Department of Electrical Engineering and Computer Science