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
来源
PHYSICS IN MEDICINE AND BIOLOGY | 2012年 / 57卷 / 10期
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 50 条
  • [21] Exploring biomass deconstruction by phase-contrast tomography
    Isaac, Augusta
    Conti, Rodolfo
    Viana, Carlos M.
    Sket, Federico I.
    Montoro, Luciano A.
    Hilger, Andre
    Manke, Ingo
    INDUSTRIAL CROPS AND PRODUCTS, 2016, 86 : 289 - 294
  • [22] On the relationship between intensity diffraction tomography and phase-contrast tomography
    Anastasio, MA
    Shi, DX
    DEVELOPMENTS IN X-RAY TOMOGRAPHY IV, 2004, 5535 : 361 - 368
  • [23] Penalized maximum likelihood reconstruction for x-ray differential phase-contrast tomography
    Brendel, Bernhard
    von Teuffenbach, Maximilian
    Noel, Peter B.
    Pfeiffer, Franz
    Koehler, Thomas
    MEDICAL PHYSICS, 2016, 43 (01) : 188 - 194
  • [24] A Deep Learning Reconstruction Framework for Differential Phase-Contrast Computed Tomography With Incomplete Data
    Fu, Jian
    Dong, Jianbing
    Zhao, Feng
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 29 (01) : 2190 - 2202
  • [25] An iterative image reconstruction for differential X-ray phase-contrast computed tomography
    Sun, Fengrong
    Babyn, Paul
    Yuasa, Tetsuya
    Zhang, Mingqiang
    Qin, Feng
    Sunaguchi, Naoki
    Wahid, Khan A.
    Ando, Masami
    Journal of Fiber Bioengineering and Informatics, 2015, 8 (03): : 521 - 528
  • [26] Fourier transform-based iterative method for differential phase-contrast computed tomography
    Cong, Wenxiang
    Momose, Atsushi
    Wang, Ge
    OPTICS LETTERS, 2012, 37 (11) : 1784 - 1786
  • [27] Tensorial tomographic differential phase-contrast microscopy
    Xu, Shiqi
    Dai, Xiang
    Yang, Xi
    Zhou, Kevin C.
    Kim, Kanghyun
    Pathak, Vinayak
    Glass, Carolyn
    Horstmeyer, Roarke
    2022 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL PHOTOGRAPHY (ICCP), 2022,
  • [28] DIFFERENTIAL PHASE-CONTRAST WITH AN EXTENDED ILLUMINATION SOURCE
    STEWART, WC
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA, 1976, 66 (08) : 813 - 818
  • [29] Differential phase-contrast microscopy at atomic resolution
    Naoya Shibata
    Scott D. Findlay
    Yuji Kohno
    Hidetaka Sawada
    Yukihito Kondo
    Yuichi Ikuhara
    Nature Physics, 2012, 8 (8) : 611 - 615
  • [30] Differential phase-contrast microscopy at atomic resolution
    Shibata, Naoya
    Findlay, Scott D.
    Kohno, Yuji
    Sawada, Hidetaka
    Kondo, Yukihito
    Ikuhara, Yuichi
    NATURE PHYSICS, 2012, 8 (08) : 611 - 615