X-ray microtomography becomes a promising and effective tool in various fields of internal structure studies on micrometer scale. Its resolution has been developed to reach a level far beyond the ability of a conventional medical tomography. Behind successful progressions, the quality of reconstruction images in x-ray microtomography depends on correct parameters of the system. A system calibration is a required procedure in every scanning in order to derive system parameters for reconstruction process. Without accurate values of a parameter set, a reconstruction image may be distorted or severely unrecognizable. Although being equipped with precision assistance devices, a microtomography system has a limitation by its system mechanical precision. This dissertation proposes a potential method to identify a parameter causing a misalignment effect revealing on a reconstruction result. Instead of resolving parameters in the spatial domain, major misaligned situations of metal balls are extensively analyzed in the frequency domain. The simulation study performs with a metal-sphere marker and each misaligned parameter may show its unique pattern reflecting in both power spectrum and phase of the frequency response, so a pattern defines a value of a misaligned parameter. Once knowing an incorrect variable and its value, the reconstruction process is repeated to generate a new result with better accuracy. The simulation result of this dissertation shows a possibility to detect a misalignment of x-ray microtomography system and appling this idea can enhance its reconstruction images.
|Commitee:||Liu, Pao-Lo, Qin, Feng, Safiuddin, Mohammed, Wobschall, Darold C.|
|School:||State University of New York at Buffalo|
|School Location:||United States -- New York|
|Source:||DAI-B 79/10(E), Dissertation Abstracts International|
|Subjects:||Engineering, Electrical engineering|
|Keywords:||Computed tomography, Micro-CT, Microtomography, Misalignment detection, X-ray|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be