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X-ray CT in Phase Contrast Enhancement Geometry of Alginate Microbeads in a Whole-Animal Model. Ann Biomed Eng 2020; 48:1016-1024. [DOI: 10.1007/s10439-019-02291-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Accepted: 05/15/2019] [Indexed: 10/26/2022]
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Chen Y, Zhou W, Hagen CK, Olivo A, Anastasio MA. Comparison of data-acquisition designs for single-shot edge-illumination X-ray phase-contrast tomography. OPTICS EXPRESS 2020; 28:1-19. [PMID: 32118936 PMCID: PMC7053502 DOI: 10.1364/oe.28.000001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 11/23/2019] [Accepted: 12/02/2019] [Indexed: 05/23/2023]
Abstract
Edge-illumination X-ray phase-contrast tomography (EIXPCT) is an emerging technique that enables practical phase-contrast imaging with laboratory-based X-ray sources. A joint reconstruction method was proposed for reconstructing EIXPCT images, enabling novel flexible data-acquisition designs. However, only limited efforts have been devoted to optimizing data-acquisition designs for use with the joint reconstruction method. In this study, several promising designs are introduced, such as the constant aperture position (CAP) strategy and the alternating aperture position (AAP) strategy covering different angular ranges. In computer-simulation studies, these designs are analyzed and compared. Experimental data are employed to test the designs in real-world applications. All candidate designs are also compared for their implementation complexity. The tradeoff between data-acquisition time and image quality is discussed.
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Affiliation(s)
- Yujia Chen
- Washington University in St. Louis, Department of Biomedical Engineering, Campus Box 1097, One Brookings Drive, St. Louis, MO 63130, USA
| | - Weimin Zhou
- Washington University in St. Louis, Department of Electrical and Systems Engineering, Campus Box 1097, One Brookings Drive, St. Louis, MO 63130, USA
| | - Charlotte K. Hagen
- University College London, Department of Medical Physics and Biomedical Engineering, Malet Place, Gower Street, London WC1E 6BT, UK
| | - Alessandro Olivo
- University College London, Department of Medical Physics and Biomedical Engineering, Malet Place, Gower Street, London WC1E 6BT, UK
| | - Mark A. Anastasio
- University of Illinois at Urbana-Champaign, Department of Bioengineering, 1102 Everitt Lab MC 278, 1406 W. Green St., Urbana, IL 61801, USA
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Zhao Y, Ji D, Chen Y, Jian J, Zhao X, Zhao Q, Lv W, Xin X, Yang T, Hu C. A new in-line X-ray phase-contrast computed tomography reconstruction algorithm based on adaptive-weighted anisotropic TpV regularization for insufficient data. JOURNAL OF SYNCHROTRON RADIATION 2019; 26:1330-1342. [PMID: 31274462 DOI: 10.1107/s1600577519005095] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 04/13/2019] [Indexed: 06/09/2023]
Abstract
In-line X-ray phase-contrast computed tomography (IL-PCCT) is a valuable tool for revealing the internal detailed structures in weakly absorbing objects (e.g. biological soft tissues), and has a great potential to become clinically applicable. However, the long scanning time for IL-PCCT will result in a high radiation dose to biological samples, and thus impede the wider use of IL-PCCT in clinical and biomedical imaging. To alleviate this problem, a new iterative CT reconstruction algorithm is presented that aims to decrease the radiation dose by reducing the projection views, while maintaining the high quality of reconstructed images. The proposed algorithm combines the adaptive-weighted anisotropic total p-variation (AwaTpV, 0 < p < 1) regularization technique with projection onto convex sets (POCS) strategy. Noteworthy, the AwaTpV regularization term not only contains the horizontal and vertical image gradients but also adds the diagonal image gradients in order to enforce the directional continuity in the gradient domain. To evaluate the effectiveness and ability of the proposed algorithm, experiments with a numerical phantom and synchrotron IL-PCCT were performed, respectively. The results demonstrated that the proposed algorithm had the ability to significantly reduce the artefacts caused by insufficient data and effectively preserved the edge details under noise-free and noisy conditions, and thus could be used as an effective approach to decrease the radiation dose for IL-PCCT.
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Affiliation(s)
- Yuqing Zhao
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin 300070, People's Republic of China
| | - Dongjiang Ji
- The School of Science, Tianjin University of Technology and Education, Tianjin 300222, People's Republic of China
| | - Yingpin Chen
- School of Physics and Information Engineering, Minnan Normal University, 363000 Fujian, People's Republic of China
| | - Jianbo Jian
- Radiation Oncology Department, Tianjin Medical University General Hospital, Tianjin 300070, People's Republic of China
| | - Xinyan Zhao
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, 100050 Beijing, People's Republic of China
| | - Qi Zhao
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin 300070, People's Republic of China
| | - Wenjuan Lv
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin 300070, People's Republic of China
| | - Xiaohong Xin
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin 300070, People's Republic of China
| | - Tingting Yang
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin 300070, People's Republic of China
| | - Chunhong Hu
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin 300070, People's Republic of China
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