Cardiac CT: Advanced Architectures and Algorithms
Cardiac CT: Advanced Architectures and Algorithms
批准号:
8706645
负责人:
Bruno De Man
金额:
$60.78万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-02-01 至 2015-01-31
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Cardiovascular diseases are pervasive with high mortality and morbidity at tremendous social and healthcare costs. There are urgent needs for significantly higher fidelity cardiac CT with substantially lower radiation dose, which is currently not possible because of technical limitations. Although cardiac CT technology has improved significantly from 16 to 320 detector rows and from single to dual source, there remain technical challenges in terms of temporal resolution, spatial resolution, radiation dose, and so on. Based on an ideal academic-industrial partnership between Virginia Tech and the GE Global Research Center (GEGR), we are motivated to advance the state-of-the-art in cardiac CT dramatically and define the next generation cardiac CT system. The overall goal of this project is to develop novel cardiac CT architectures and the associated reconstruction algorithms, and define the next-generation cardiac CT system. The specific aims are to (1) design, analyze and compare novel cardiac CT architectures with novel sources and scanning trajectories; (2) develop analytic and iterative cardiac CT reconstruction algorithms for ROI-oriented scanning and dynamic imaging for the proposed cardiac CT architectures; and (3) evaluate and validate the proposed architectures and algorithms in theoretical studies, numerical simulations, phantom experiments and observer studies. On completion of this project, we will have singled out the most promising cardiac CT architecture and algorithms to achieve 16cm coverage, 50ms temporal resolution, 20lp/cm spatial resolution, 10HU noise level, and 5mSv effective dose simultaneously for the entire examination, with detailed specifications and performance evaluation, setting the stage for prototyping a next-generation cardiac CT system in a Phase-II project. This project will make a quantum leap in cardiac CT, in the sense that our proposed cardiac CT technology will enable significantly better diagnostic performance and bring major therapeutic benefits that affect 61.8 million Americans.
期刊论文(25)
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DOI:
10.1097/rct.0b013e318231c578
发表时间:
2011-11
期刊:
Journal of computer assisted tomography
影响因子:
1.3
作者:
[Yu H, Wang G, Hsieh J, Entrikin DW, Ellis S, Liu B, Carr JJ]
通讯作者:
Carr JJ
DOI:
10.1002/sca.21121
发表时间:
2014-07
期刊:
Scanning
影响因子:
--
作者:
[]
通讯作者:
DOI:
10.1371/journal.pone.0103054
发表时间:
2014
期刊:
PloS one
影响因子:
3.7
作者:
[Liu F, Yang Q, Cong W, Wang G]
通讯作者:
Wang G
DOI:
10.1118/1.4876724
发表时间:
2014-06
期刊:
Medical physics
影响因子:
3.8
作者:
[K. Sen Sharma;H. Gong;Omid Ghasemalizadeh;Hengyong Yu;Ge Wang;Guohua Cao]
通讯作者:
K. Sen Sharma;H. Gong;Omid Ghasemalizadeh;Hengyong Yu;Ge Wang;Guohua Cao
DOI:
10.1155/2011/285130
发表时间:
2011
期刊:
International journal of biomedical imaging
影响因子:
7.6
作者:
[Wei Y, Yu H, Wang G]
通讯作者:
Wang G
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Cardiac CT: Advanced Architectures and Algorithms
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依托单位:
国内基金
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