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基于一种新型扫描模式的不完全数据CT重建 被引量:4

Incomplete Data CT Image Reconstruction Based on a New Scanning Mode
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摘要 扫描模式是直接决定图像重建实现方案的重要因素之一。随着CT技术的不断发展,扫描模式也在不断地更新换代。以降低剂量、工程条件受限为应用背景的不完全数据图像重建和扫描模式有着更加密切的联系。立足于不完全数据的图像重建,定制了一种直线轨迹的扫描模式,并在这种扫描模式下,探讨半区域、外部区域、内部区域的不完全数据的精确重建。数值上,以该扫描模式为基础,对Shepp-Logan产生的投影数据进行重建,实现了对目标图像的精确求解,初步证明了方案的可行性。 Scanning mode is the key factor which derectly affects image reconstruction. With the development of CT technology., scanning mode is changing continuously. Incomplete data image reconstruction with application background of radiation dose reduction and limited constructional conditions is related closely with scanning mode even more. It introduces a line - style scanning mode for incomplete data image reconstruction. Following the utilization of this scanning mode, half - region problem, outside problem and inside problem are discussed respectively. Numerically, object is exactly reconstructed from the projection data produced from Shepp - Logan model based on this scanning mode. And the feasibility of this scanning mode is proved preliminarily.
出处 《核电子学与探测技术》 CAS CSCD 北大核心 2011年第1期53-57,70,共6页 Nuclear Electronics & Detection Technology
基金 中央高校基本科研业务费专项资金(Z2009001)资助。
关键词 扫描模式 不完全数据 CT重建 Scanning mode, Incomplete data, Computed tomography
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参考文献11

  • 1Xiaochuan Pan,et al.Why do commercial CT scanners still employ traditional filtered back-projection for image reconstruction[J].Inverse Problems,2009,25 (12):123009.
  • 2J.Hsieh.Computed Tomography,Principles,Design,Artifacts,and Recent Advances[M].Washington:SPIE Press,2003.
  • 3F.Natterer.The Mathematics of Computed Tomo-graphy[M].New York:J.Wiley & Sons,1986.
  • 4Adel Faridani.Introduction to the Mathematics of Computed Tomography[C].// Gunther Uhlmann.Inside out:inverse problems and applications,Washington:Cambridge Univ Press,2002:10-12.
  • 5段新辉,张丽,陈志强,程建平.多视角投影重建算法综述[J].CT理论与应用研究(中英文),2007,16(4):1-7. 被引量:2
  • 6D.L.Parker.Optimal short scan convolution reconstruction for fanbeam CT[J].Med.Phys.,1982,9 (2):254-257.
  • 7F.Noo,M Defrise,R Clackdoyle,et al.Image reconstruction from fan beam projections on less than a short scan[J].Phys.Med.Biol.,2002,47 (14):2525 -2546.
  • 8Yu Zou,Xiaochuan Pan,Emil Y Sidky.Image reconstruction in regions of interest from truncated projections in a reduced fan beam scan[J].Phys.Med.Biol.,2005,50(1):13 -27.
  • 9Yu Zou,Xiaochuan Pan.Image reconstruction on PI -lines by use of filtered backprojection in helical cone beam CT[J].Phys.Med.Biol.,2004,49(12):2717 -2731.
  • 10Xiaochuan Pan,Dan xia,Yu zou,et al.A unified a-nalysis of FBP based algorithms in helical cone beam and circular cone and fan beam scans[J].Phys.Med.Biol.,2004,49 (18):4349-4369.

二级参考文献27

  • 1[14]Kolehmainen V,Siltannen S,Jarvenpaa S,et al.Statistical inversion for medical X-ray tomography with few radiographs:II.Application to dental radiology[J].Phys Med Biol,2003,48:1465-1490.
  • 2[15]Tao Wu.Tomographic mammography using a limited number of low-dose cone-beam projection images[J].Med Phys,2003,30(3):365-380.
  • 3[16]Yu Lifeng.Few-view and Limited-angle Cone-beam megavoltage CT for Breast Localization in radiation therapy[C].Medical Imaging 2004,SPIE 5370:2075-2082.
  • 4[17]Candes E,Romberg J,Tao T.Robust uncertainty principles:exact signal reconstruction from highly incomplete frequency information[J].Information Theory,IEEE trans on,2006,52(2):489-509.
  • 5[18]Candes E,Tao T.Near optimal signal recovery from random projections and universal encoding strategies.arXiv preprint math CA/0410542,2004.
  • 6[19]Candes E,Romberg J,Tao T.Stable signal recovery from incomplete and inaccurate measurements[J].Communications on Pure and Applied Mathematics,2006,59(8):1207-1223.
  • 7[20]Candes E,Romberg J.Signal recovery from random projections[J].Proceedings of SPIE-IS&T Electronic Imaging,2005,5674:76-86.
  • 8[21]Sidky E,Kao C M,Pan X.Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT[J].Journal of X-ray Science and Technology 2006,14:119-139.
  • 9[2]Riviere P J,Pan X.Comparison of angular interpolation approaches in few-view tomography using statistical hypothesis testing[C].SPIE Conference on Image Processing,1999,3661:399-407.
  • 10[3]Riviere P J,Pan X.Few-view tomography using roughness-penalized nonparametric regression and periodic spline interpolation[J].IEEE trans on Nuclear Science,1999,46(4):1121-1127.

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