Three D spatio temporal analysis for compressive sensing in magnetic resonance imaging of the murine cardiac cycle
"This thesis consists of two major contributions, each of which has been prepared in a conference paper. These papers will be submitted for publication in the SPIE 2013 Medical Imaging Conference and the ASEE 2013 Annual Conference.
The first paper explores a three-dimensional compressive sensing (CS) technique for reducing measurement time in MR imaging of the murine (mouse) cardiac cycle. By randomly undersampling a single 2D slice of a mouse heart at regular time intervals as it expands and contracts through the stages of a heartbeat, a CS reconstruction algorithm can be made to exploit transform sparsity in time as well as space. For the purposes of measuring the left ventricular volume in the mouse heart, this 3D approach offers significant advantages against classical 2D spatial compressive sensing.
The second paper describes the modification and testing of a set of laboratory exercises for developing an undergraduate level understanding of Simulink. An existing partial set of lab exercises for Simulink was obtained and improved considerably in pedagogical utility, and then the completed set of pilot exercises was taught as a part of a communications course at the Missouri University of Science and Technology in order to gauge student responses and learning experiences. In this paper, the content of the laboratory exercises with corresponding educational approaches are discussed, along with student feedback and future improvements."--Abstract, page iv.
Zheng, Y. Rosa
Kosbar, Kurt Louis
Moss, Randy Hays, 1953-
Electrical and Computer Engineering
M.S. in Electrical Engineering
Missouri Research Board
National Science Foundation (U.S.)
Missouri University of Science and Technology
Journal article titles appearing in thesis/dissertation
- 3D spatio-temporal analysis for compressive sensing in magnetic resonance imaging of the murine cardiac cycle
- Utilization of MATLAB Simulink exercises for an undergraduate communications course
xii, 110 pages
© 2012 Brice Aaron Hirst, All rights reserved.
Thesis - Open Access
Library of Congress Subject Headings
Heart -- Magnetic resonance imaging
Sampling (Statistics) -- Computer programs
Print OCLC #
Electronic OCLC #
Link to Catalog Recordhttp://laurel.lso.missouri.edu/record=b9638227~S5
Hirst, Brice Aaron, "3D spatio-temporal analysis for compressive sensing in magnetic resonance imaging of the murine cardiac cycle" (2012). Masters Theses. 5299.