Three dimensional computed tomography (CT) algorithms for a planar object = 평면 물체에 대한 3차원 전산화단층촬영 알고리즘의 연구

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 334
  • Download : 0
Recently modern X-ray computed tomography (CT) scanner is rapidly moving towards cone-beam geometry. One of the important advantages of the cone-beam CT is its fast volumetric scanning capability. Also it provides the opportunity for tomographic image reconstruction with magnified resolution. This opportunity is applicable for Emission CT (ECT) scanner with a convergent collimator, which functions as cone beam geometry. However, in a cone-beam image reconstruction, current existing reconstruction algorithms put limitations from long object problems due to the nature of insufficient data or limited source scanning. Therefore, the algorithms that is based on cone-beam geometry and free from limited source scanning highly demanded these days. In this study, for planar object, we have developed full and half-scan algorithms based on approximated cone-beam back-projection. For solving long object problems, many other reconstruction algorithms have been adopted by several helical CT scanners that are composed of a micro-focus X-ray tube and flat panel detector. Although these efforts make the long object problem solved, it remains for planar object as ever due to limited source scanning such as non-isocentric circular orbit. Prior to the algorithmic development, we report digital tomosynthesis (DT) called laminography using geometric projection methods for reconstructing arbitrary cross-section images as well as three dimensional laminography images for cone-beam CT. Digital laminography are advantageous in terms of temporal resolution, and widely used only with a few number of projection data on cone-beam geometry. While existing laminography algorithms use the geometric projection methods, in this dissertation we substitute back-projection technique instead of the geometric projection. Both of laminography without filtering and weighting steps have similar results except for the complexity between their algorithms but it makes the blurring and other severe ...
Advisors
Cho, Gyu-Seongresearcher조규성researcher
Description
한국과학기술원 : 원자력및양자공학과,
Publisher
한국과학기술원
Issue Date
2007
Identifier
263484/325007  / 020025296
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 원자력및양자공학과, 2007.2, [ xix, 93 p. ]

Keywords

Planar Object; Computed Tomography; Image Reconstruction; 영상재구성; 평면물체; 단층촬영

URI
http://hdl.handle.net/10203/48997
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=263484&flag=dissertation
Appears in Collection
NE-Theses_Ph.D.(박사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0