ISSN 1004-4140
CN 11-3017/P

CT辐射量降低和投影数目研究（英文）

Kaijie Lu, 刘宝东, Hengyong Yu

Kaijie Lu, 刘宝东, Hengyong Yu. CT辐射量降低和投影数目研究（英文）[J]. CT理论与应用研究, 2015, 24(2): 169-176. DOI: 10.15953/j.1004-4140.2015.24.02.03
引用本文: Kaijie Lu, 刘宝东, Hengyong Yu. CT辐射量降低和投影数目研究（英文）[J]. CT理论与应用研究, 2015, 24(2): 169-176. DOI: 10.15953/j.1004-4140.2015.24.02.03
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Kaijie Lu, LIU Bao-dong, Hengyong Yu. On Dose Reduction and View Number in Computed Tomography[J]. CT Theory and Applications, 2015, 24(2): 169-176. DOI: 10.15953/j.1004-4140.2015.24.02.03
Citation: Kaijie Lu, LIU Bao-dong, Hengyong Yu. On Dose Reduction and View Number in Computed Tomography[J]. CT Theory and Applications, 2015, 24(2): 169-176. DOI: 10.15953/j.1004-4140.2015.24.02.03
shu

CT辐射量降低和投影数目研究（英文）

  • 1. Department of Biomedical Engineering, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA;

  • 2. Department of Biomedical Engineering, Scheller College of Business, Georgia Institute of Technology, Atlanta, GA 30332, USA;

  • 3. 中国科学院高能物理研究所核分析技术重点实验室, 北京 100049;

  • 4. 北京市射线成像技术与装备工程技术研究中心, 北京 100049;

  • 5. Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA

基金项目: 

Baodong Liu was partially supported by IHEP-CAS Scientific Research Foundation 2013IHEPYJRC801

partially supported by the NSF CAREER Award CBET-1540898

详细信息
    作者简介:

    Kaijie Lu is a Senior at Georgia Tech Scheller College of Business and Collegeof Engineering. He was Research Assistant with the Department of Biomedical Engineering,Wake Forest University Health Sciences (2013 Summer), and Math Tutor with GeorgiaSouthern University (2010~2011).

    通讯作者:

    Hengyong Yu (email:hengyong-yu@ieee.org)received his Bachelor degrees in information science & technology (1998) andcomputational mathematics (1998), and his PhD in information & telecommunicationengineering (2003) from Xi'an Jiaotong University. He was Associate Research Scientistwith the University of Iowa (2004~2006), Research Scientist with Virginia Tech(2006~2010), Assistant Professor with Wake Forest University Health Sciences(2010-2014). Since 2014, he has been an Associate Professor, the Director of Imaging andInformatics Lab, Department of Electrical and Computer Engineering, University ofMassachusetts Lowell. His interests include computed tomography and medical imageprocessing. He has authored or coauthored>110 peer-reviewed journal papers. He is asenior member of the Institute of Electrical and Electronics Engineers (IEEE) and the IEEEEngineering in Medicine and Biology Society (EMBS), and member of the AmericanAssociation of Physicists in Medicine (AAPM) and the Biomedical Engineering Society(BMES). In 2012, he received an NSF CAREER award for the development of compressivesensing based interior tomography.

  • 中图分类号: TP391.41

On Dose Reduction and View Number in Computed Tomography

  • 1. Department of Biomedical Engineering, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA;

  • 2. Wallace H. Coulter Department of Biomedical Engineering and Scheller College of Business, Georgia Institute of Technology, Atlanta, GA 30332, USA;

  • 3. Key Laboratory of Nuclear Analytical Techniques, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China;

  • 4. Beijing Engineering Research Center of Radiographic Techniques and Equipment, Beijing 100049, China;

  • 5. Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA

Funds: 

Baodong Liu was partially supported by IHEP-CAS Scientific Research Foundation 2013IHEPYJRC801

partially supported by the NSF CAREER Award CBET-1540898

摘要

    摘要
  • 摘要: 改进CT技术的最终目标是用较低的辐射剂量重建出更高质量的图像以降低患癌症的风险。近年来受压缩感知理论的启发,减少投影角度重建一直是减少辐射量的一个热门课题。但是,当辐射剂量固定,减少投影角度并不总是意味着更好的图像质量。本文研究固定辐射剂量下图像质量和扫描角度数目的关系。数值实验表明对于固定的辐射剂量,起初图像质量随着扫描角度数目的增加而提高,但是当扫描角度数目足够大之后图像质量反而下降了。在等角全扫描模式下,对于我们测试的辐射剂量和图像,产生最佳图像质量的最佳扫描角度数目是300,这对于实际的应用具有借鉴意义。
    Abstract: The ultimate goal in improving computed tomography (CT) technology is to reconstruct higher quality images with lower radiation dose, which can help to lower cancer risks to the patients. Inspired by the compressive sensing (CS) theory, few-view reconstruction has been a hot topic for dose reduction in recent years. However, when the radiation dose is fixed, fewer view projections does not always imply higher image quality. Numerical tests are performed in this study to investigate the relationship between image quality and view numbers under a fixed radiation dose level. It is observed that for a fixed dose level, as the view number increases, the image quality increases but then decreases once the view number is sufficiently large. For the dose level and phantom we tested, the optimal view number for best reconstruction quality is around 300 in an equi-angular full scan configuration, which provides a useful hint for practical applications.
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出版历程
  • 收稿日期:  2014-12-04
  • 网络出版日期:  2022-12-05

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