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Synchrotron X-ray Microtomography with Improved Image Quality by Ring Artifacts Correction for Structural Analysis of Insects

Published online by Cambridge University Press:  09 August 2017

Shengkun Yao ,
Yunbing Zong ,
Jiadong Fan ,
Zhibin Sun ,
Jianhua Zhang  and
Huaidong Jiang
Shengkun Yao
Affiliation:
School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
Yunbing Zong
Affiliation:
State Key Laboratory of Crystal Materials, Shandong University, Jinan 250100, China
Jiadong Fan
Affiliation:
School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
Zhibin Sun
Affiliation:
State Key Laboratory of Crystal Materials, Shandong University, Jinan 250100, China
Jianhua Zhang
Affiliation:
State Key Laboratory of Crystal Materials, Shandong University, Jinan 250100, China
Huaidong Jiang*
Affiliation:
School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China State Key Laboratory of Crystal Materials, Shandong University, Jinan 250100, China
*
*Corresponding author. [email protected]
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Abstract

Ring artifacts are undesirable and complicate the analysis and interpretation of microstructures in synchrotron X-ray microtomography. Here, we propose a new method to improve the image quality of an object by removing the ring artifacts and investigate the efficiency of this process with tomographic images of a dried Tenebrio molitor. In this method, before the tomographic reconstruction, ring artifacts were identified and located in the sinograms as line artifacts. Then, the identified line artifacts were corrected as single point noise via image processing of the original projections. Eventually, the corresponding line artifacts were removed, resulting in reduced ring artifacts in the reconstructed tomographic images. Simulations verified the efficiency of the proposed method. This method was successfully applied for the structural analysis of the insect T. molitor, showing superior performance in reducing ring artifacts in the tomographic image without noticeable loss of structural information.

Keywords

synchrotron radiationtomographyinsectsstructural analysisring artifacts
Type
Instrumentation and Software
Information
Microscopy and Microanalysis , Volume 23 , Issue 5 , October 2017 , pp. 938 - 944
Copyright
© Microscopy Society of America 2017 

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