COMPARATIVE STUDIES OF DIFFERENT SYSTEM MODELS FOR ITERATIVE CT IMAGE RECONSTRUCTION

In this thesis, we propose an improved distance-driven model (IDDM) whose computational cost is as low as the distance-driven model (DDM) and the accuracy is comparable with the area integral model (AIM). The performance of different system models, such as pixel-driven model (PDM), ray-driven model (RDM), AIM, DDM and IDDM, are compared in the content of iterative CT image reconstruction algorithms. One of the key factors that limit the clinical application of an iterative reconstruction algorithm is the high computational cost which mainly depends on the system model. This thesis can serve as the basis for the acceleration study and will have a direct impact on development of fast and accurate iterative CT image reconstruction algorithms.

Grantor dc:publisher

Wake Forest University

Year dc:date.issued

2013

Author dc:creator

• Miao, Chuang

• Computed Tomography

Language dc:language.iso

en

Handle dc:identifier.uri

http://hdl.handle.net/10339/38514

OAI identifier oai:identifier

oai:wakespace.lib.wfu.edu:10339/38514