INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
Prev
Next
|
|
|
Biases of estimated signals in x-ray analyzer-based imaging |
Jianlin Xia(夏健霖), Wen Xu(徐文), Ruicheng Zhou(周瑞成), Xiaomin Shi(石晓敏), Kun Ren(任坤), Heng Chen(陈恒), Zhili Wang(王志立) |
School of Electronic Science&Applied Physics, Hefei University of Technology, Hefei 230009, China |
|
|
Abstract Recently, a novel three-image algorithm has been proposed to retrieve the sample's absorption, refraction, and scattering properties in x-ray analyzer-based imaging. The feasibility of the three-image algorithm was validated by synchrotron radiation experiments. However, it is unclear yet whether the estimated refraction and scattering signals are biased or not and how the analyzer angular position affects the biases in the estimated signals. For this purpose, the biases of the extracted refraction and scattering signals are theoretically derived for the three-image algorithm. The theoretical models are further confirmed by numerical experiments. The results show that both the estimated refraction and scattering signals are biased, and the biases are strongly dependent on the analyzer angular position. Besides, the biases also show dependence on the sample's refraction and scattering properties locally. Those results can be used as general guidelines to optimize experimental parameters for bias reduction and accurate imaging of different features within the sample.
|
Received: 15 December 2019
Revised: 02 April 2020
Accepted manuscript online:
|
PACS:
|
87.59.-e
|
(X-ray imaging)
|
|
43.60.Cg
|
(Statistical properties of signals and noise)
|
|
42.30.Rx
|
(Phase retrieval)
|
|
41.50.+h
|
(X-ray beams and x-ray optics)
|
|
Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. U1532113, and 11475170) and the Fundamental Research Funds for the Central Universities, China (Grant No. PA2020GDKC0024). |
Corresponding Authors:
Zhili Wang
E-mail: dywangzl@hfut.edu.cn
|
Cite this article:
Jianlin Xia(夏健霖), Wen Xu(徐文), Ruicheng Zhou(周瑞成), Xiaomin Shi(石晓敏), Kun Ren(任坤), Heng Chen(陈恒), Zhili Wang(王志立) Biases of estimated signals in x-ray analyzer-based imaging 2020 Chin. Phys. B 29 068703
|
[1] |
Endrizzi M 2018 Nucl. Instrum. Method A 878 88
|
[2] |
Chapman D, Thomlinson W, Johnston R E, Washburn D, Pisano E, Guür N, Zhong Z, Menk R, Arfelli F and Sayers D 1997 Phys. Med. Biol. 42 2015
|
[3] |
Pagot E, Cloetens P, Fiedler S, Bravin A, Coan P, Baruchel J, Hartwig J and Thomlinson W 2003 Appl. Phys. Lett. 82 3421
|
[4] |
Rigon L, Besch H J, Arfelli F, Menk R H, Heitner G and Besch H P 2003 J. Phys. D: Appl. Phys. 36 A107
|
[5] |
Hu C H, Zhang L, Li H and Luo S Q 2008 Opt. Express 16 16704
|
[6] |
Connor D M and Zhong Z 2014 Curr. Radiol. Rep. 2 55
|
[7] |
Wei C X, Wu Z, Wali F, Wei W B, Bao Y, Luo R H, Wang L, Liu G and Tian Y C 2017 Chin. Phys. B 26 108701
|
[8] |
Wang Z L, Liu D L, Zhang J, Huang W X, Yuan Q X, Gao K and Wu Z 2018 J. Synchrotron Rad. 25 1206
|
[9] |
Wernick M N, Wirjadi O, D Chapman D, Z Zhong Z, N P Galatsanos N P, Yang Y, Brankov J G, Oltulu O, Anastasio M A and Muehleman C 2015 Nucl. Instrum. Method A 770 182
|
[10] |
Wang Y B, Li G P, Pan X D and Zheng S C 2015 Nucl. Instrum. Method A 770 182
|
[11] |
Ji X, Ge Y S, Zhang R, Li K and Chen G H 2017 Med. Phys. 44 2453
|
[12] |
Kiss M Z, Sayers D E and Zhong Z 2003 Phys. Med. Biol. 48 325
|
[13] |
Chou C, Anastasio M A, Brankov J G, Wernick M N, Brey E M, Connor D M and Zhong Z 2007 Phys. Med. Biol. 52 1923
|
[14] |
Yang H, Xuan R J, Hu C H and Duan J H 2014 Chin. Phys. B 23 048701
|
[15] |
Faiz W, Zhu P, Hu R F, Gao K, Wu Z, Bao Y and Tian Y C 2017 Chin. Phys. B 26 120601
|
[16] |
Zhang C, Pan X D, Shang H J and Li G 2018 J. Appl. Phys. 124 164906
|
[17] |
Rigon L, Arfelli F and Menk R H 2007 J. Phys. D: Appl. Phys. 40 3077
|
[18] |
Abrami A, Arfelli F, Barroso R C, et al. 2005 Nucl. Instrum. Method A 548 221
|
[19] |
Zhao X J, Zhang K, Hong Y L, Huang W X, Yuan Q X, Zhu P P and Wu Z Y 2013 Acta Phys. Sin. 62 124202 (in CHinese)
|
[20] |
Arfelli F, Astolfo A, Rigon L and Menk R H 2018 Sci. Rep. 8 362
|
[21] |
Jia X, Ge Y S, Zhang R, Li K and Chen G H Conference on Medical Imaging - Physics of Medical Imaging, March 13-16, 2017, Orlando, USA, p. 1013219
|
[22] |
Bao Y, Wang Y, Li P Y, Wu Z, Shao Q G, Gao K, Wang Z L, Ju Z Q, Zhang K, Yuan Q X, Huang W X, Zhu P P and Wu Z Y 2015 J. Synchrotron Rad. 22 786
|
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|