Item Details

title

COMPARATIVE STUDIES OF DIFFERENT SYSTEM MODELS FOR ITERATIVE CT IMAGE RECONSTRUCTION

author

Miao, Chuang

abstract

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.

subject

Computed Tomography

Image Reconstruction

Iterative Algorithm

System Models

contributor

Yu, Hengyong (committee chair)

Yu, Hengyong (committee member)

Wang, Ge (committee member)

Cao, Guohua (committee member)

date

2013-06-06T21:19:22Z (accessioned)

2013-06-06T21:19:22Z (available)

2013 (issued)

degree

Biomedical Engineering (discipline)

identifier

http://hdl.handle.net/10339/38514 (uri)

language

en (iso)

publisher

Wake Forest University

type

Thesis