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State University of New York at Buffalo

Misalignment detection in X-ray microtomographic imaging system

Abstract

dc:description.abstract

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 applying this idea can enhance its reconstruction images.

Degree

thesis:*
Grantor dc:publisher
State University of New York at Buffalo
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Pornpojratanakul, Vinai
Contributors dc:contributor
  • Cheng, Ping-Chin
  • Electrical Engineering

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.
  • Copyright retained by author.
Language dc:language
eng

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/10477/78092

Chain of custody

source
Harvested from
Buffalo
Base URL
ubir.buffalo.edu/oai/request
Last updated
2026-08-21
Source record
OAI-PMH GetRecord
citation

Pornpojratanakul, Vinai. Misalignment detection in X-ray microtomographic imaging system. State University of New York at Buffalo, 2018. http://hdl.handle.net/10477/78092