Date of Award
Doctor of Philosophy (PhD)
Biomedical Engineering and Imaging
Frank A. DiBianca, PhD
M. Waleed Gaber, PhD Claudia M. Hillenbrand, PhD Gary S. Keyes, PhD Christopher M. Waters, PhD
Algorithms, Computed Tomography, Imaging Instrumentation, Medical Imaging, Simulation, Variable Resolution
The overall goal of this project was to develop and apply important computerized aids for the design and implementation of Variable Resolution X-ray (VRX) CT scanners developed at the University of Tennessee, Memphis. VRX scanners take advantage of the “projective compression” principle that allows the same device to image objects of very different sizes with the same level of detail by adjusting the field of view and the reconstruction resolution.
The first part of this project aimed to develop a set of computational tools specifically tailored for the design, implementation and study of VRX scanners. This included creating a reconstruction algorithm that takes into account the unique geometries of the different VRX systems that have been designed, along with improving the calibration algorithm needed to ensure a proper reconstruction. It also included the development of a computer model of VRX scanners that is an invaluable tool for the development and study of these devices.
The second part of the project was composed of a small series of experiments in which the computational tools developed proved to be fundamental in the analysis and evaluation of some aspects of VRX imaging. This included a comparison of the performance of different targeting VRX geometries in terms of spatial and contrast resolution, and a study of the effect of the VRX angle on the severity of common artifacts in single-arm images.
Rendon, David Alejandro , "Development and Application of Computational Tools for the Study and Optimization of Variable Resolution X-ray (VRX) Computed Tomography Scanners" (2010). Theses and Dissertations (ETD). Paper 220. http://dx.doi.org/10.21007/etd.cghs.2010.0258.