Differential phase-contrast interior tomography

被引:21
作者
Cong, Wenxiang [1 ]
Yang, Jiangsheng [2 ]
Wang, Ge [1 ]
机构
[1] Virginia Tech, Biomed Imaging Div, Sch Biomed Engn & Sci, Blacksburg, VA 24061 USA
[2] Peking Univ, Sch Math Sci, Beijing 100871, Peoples R China
基金
美国国家科学基金会;
关键词
RAY TALBOT INTERFEROMETRY; IMAGE-RECONSTRUCTION; HILBERT TRANSFORM;
D O I
10.1088/0031-9155/57/10/2905
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Differential phase-contrast interior tomography allows reconstruction of a refractive index distribution over a region of interest (ROI) for visualization and analysis of structures inside a large biological specimen. In the imaging mode, x-ray scanning only targets an ROI in an object and a narrow beam passes through the object, allowing a significant reduction of both radiation dose and system cost. Inspired by recently developed compressive sensing theory, in a numerical analysis framework we show that accurate interior reconstruction can be achieved on an ROI from truncated differential projection data through the ROI via the total variation minimization, assuming a piecewise constant distribution of the refractive indices in the ROI. Then, we develop a practical iterative algorithm for such an interior reconstruction and perform numerical experiments to demonstrate the feasibility of the proposed approach.
引用
收藏
页码:2905 / 2914
页数:10
相关论文
共 22 条
  • [1] Region-of-interest imaging in differential phase-contrast tomography
    Anastasio, Mark A.
    Pan, Xiaochuan
    [J]. OPTICS LETTERS, 2007, 32 (21) : 3167 - 3169
  • [2] Cong W, 2012, OPT LETT IN PRESS
  • [3] Solving the interior problem of computed tomography using a priori knowledge
    Courdurier, M.
    Noo, F.
    Defrise, M.
    Kudo, H.
    [J]. INVERSE PROBLEMS, 2008, 24 (06)
  • [4] Courdurier M, 2007, THESIS U WASHINGTON
  • [5] Truncated Hilbert transform and image reconstruction from limited tomographic data
    Defrise, Michel
    Noo, Frederic
    Clackdoyle, Rolf
    Kudo, Hiroyuki
    [J]. INVERSE PROBLEMS, 2006, 22 (03) : 1037 - 1053
  • [6] The Split Bregman Method for L1-Regularized Problems
    Goldstein, Tom
    Osher, Stanley
    [J]. SIAM JOURNAL ON IMAGING SCIENCES, 2009, 2 (02): : 323 - 343
  • [7] General Total Variation Minimization Theorem for Compressed Sensing Based Interior Tomography
    Han, Weimin
    Yu, Hengyong
    Wang, Ge
    [J]. INTERNATIONAL JOURNAL OF BIOMEDICAL IMAGING, 2009, 2009
  • [8] Demonstration of X-Ray Talbot interferometry
    Momose, A
    Kawamoto, S
    Koyama, I
    Hamaishi, Y
    Takai, K
    Suzuki, Y
    [J]. JAPANESE JOURNAL OF APPLIED PHYSICS PART 2-LETTERS & EXPRESS LETTERS, 2003, 42 (7B): : L866 - L868
  • [9] Phase-contrast X-ray computed tomography for observing biological soft tissues
    Momose, A
    Takeda, T
    Itai, Y
    Hirano, K
    [J]. NATURE MEDICINE, 1996, 2 (04) : 473 - 475
  • [10] Phase tomography by X-ray Talbot interferometry for biological imaging
    Momose, Atsushi
    Yashiro, Wataru
    Takeda, Yoshihiro
    Suzuki, Yoshio
    Hattori, Tadashi
    [J]. JAPANESE JOURNAL OF APPLIED PHYSICS PART 1-REGULAR PAPERS BRIEF COMMUNICATIONS & REVIEW PAPERS, 2006, 45 (6A): : 5254 - 5262