A new in‐line X‐ray phase‐contrast computed tomography reconstruction algorithm based on adaptive‐weighted anisotropic TpV regularization for insufficient data. (11th June 2019)
- Record Type:
- Journal Article
- Title:
- A new in‐line X‐ray phase‐contrast computed tomography reconstruction algorithm based on adaptive‐weighted anisotropic TpV regularization for insufficient data. (11th June 2019)
- Main Title:
- A new in‐line X‐ray phase‐contrast computed tomography reconstruction algorithm based on adaptive‐weighted anisotropic TpV regularization for insufficient data
- Authors:
- Zhao, Yuqing
Ji, Dongjiang
Chen, Yingpin
Jian, Jianbo
Zhao, Xinyan
Zhao, Qi
Lv, Wenjuan
Xin, Xiaohong
Yang, Tingting
Hu, Chunhong - Abstract:
- Abstract : The aim of this study is to reduce the radiation dose while maintaining the high quality of in‐line X‐ray phase‐contrast computed tomography (IL‐PCCT) images using a non‐convex iterative CT reconstruction algorithm. The proposed method has the potential to promote the wider use of IL‐PCCT in clinical and biomedical imaging. 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 phantomAbstract : The aim of this study is to reduce the radiation dose while maintaining the high quality of in‐line X‐ray phase‐contrast computed tomography (IL‐PCCT) images using a non‐convex iterative CT reconstruction algorithm. The proposed method has the potential to promote the wider use of IL‐PCCT in clinical and biomedical imaging. 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. … (more)
- Is Part Of:
- Journal of synchrotron radiation. Volume 26:Part 4(2019)
- Journal:
- Journal of synchrotron radiation
- Issue:
- Volume 26:Part 4(2019)
- Issue Display:
- Volume 26, Issue 4, Part 4 (2019)
- Year:
- 2019
- Volume:
- 26
- Issue:
- 4
- Part:
- 4
- Issue Sort Value:
- 2019-0026-0004-0004
- Page Start:
- 1330
- Page End:
- 1342
- Publication Date:
- 2019-06-11
- Subjects:
- in‐line X‐ray phase‐contrast computed tomography -- adaptive‐weighted anisotropic total p‐variation regularization -- projection onto convex sets -- radiation dose
Synchrotron radiation -- Periodicals
Free electron lasers -- Periodicals
539.73505 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1107/S16005775 ↗
http://journals.iucr.org/s/journalhomepage.html ↗
http://www.blackwell-synergy.com/openurl?genre=journal&issn=0909-0495 ↗
http://onlinelibrary.wiley.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1107/S1600577519005095 ↗
- Languages:
- English
- ISSNs:
- 0909-0495
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5068.035000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 11032.xml