Area Based Fan Beam Projection Model for Computed Tomography

<p>Computed tomography (CT) is image reconstruction of objects using computer processed transmission or reflection data, usually referred to as projection data, from x-ray scanning. This projection data is often modeled using line integrals, but x-rays are of finite width in reality, so the accuracy of the projection data can be improved if an area based approach is used instead. In addition emitter beam shapes affect the reconstruction effectiveness and data collection efficiency, with the two main types of beam choice for 2-D scanning being fan beam and parallel beam. Fan beam scanning offers some advantages over parallel beam, such as faster data collection. This paper presents an area based fan beam projection model for CT and discusses its effectiveness based on numerical image reconstruction experiments using the proposed model, and several different reconstruction algorithms.</p>

Name thesis:degree_name

Master of Science in Mathematics (M.S.)

Level thesis:degree_level

Thesis (restricted to Georgia Southern)

Discipline thesis:degree_discipline

Department of Mathematical Sciences

Year dc:date.available

2014

Author dc:creator

• Stevens, Phillip J.

Contributors dc:contributor

• Xiezhang Li
• Hua Wang

• Computed Tomography
• Projection models
• Fan Beam
• Iterated Reconstruction Algorithms
• Numerical Analysis and Computation
• Other Applied Mathematics

Repository record dc:identifier

https://digitalcommons.georgiasouthern.edu/etd/1061

OAI identifier oai:identifier

oai:digitalcommons.georgiasouthern.edu:etd-2100