Maximum-Likelihood Calibration of an X-ray Computed Tomography System

被引：0

作者：

Moore, Jared W. ^{[1
]}

Van Holen, Roel ^{[4
]}

Barrett, Harrison H. ^{[2
,3
]}

Furenlid, Lars R. ^{[1
,2
,3
]}

机构：

[1] Univ Ghent, Coll Opt Sci, B-9000 Ghent, Belgium

[2] Univ Arizona, Dept Radiol, Tucson, AZ 85721 USA

[3] Univ Arizona, Coll Opt Sci, Tucson, AZ 85721 USA

[4] Univ Ghent, Dept Elect & Informat Syst, MEDISIP, B-9000 Ghent, Belgium

来源：

2010 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD (NSS/MIC) | 2010年

基金：

美国国家卫生研究院;

关键词：

MISALIGNMENT;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We present a maximum-likelihood (ML) method for calibrating the geometrical parameters of an x-ray computed tomography (CT) system. This method makes use of the full image data and not a reduced set of data. This algorithm is particularly useful for CT systems that change their geometry during the CT acquisition, such as an adaptive CT scan. Our ML search method uses a contracting-grid algorithm that does not require initial starting values to perform its estimate, thus avoiding problems associated with choosing initialization values.

引用

页码：2614 / 2616

页数：3

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