An open, modular, and flexible micro X-ray computed tomography system for research.

In this paper, a modular and open micro X-ray Computed Tomography (μXRCT) system is presented, which was set up during the last years at the Institute of Applied Mechanics (CE) of the University of Stuttgart and earlier at the Institute of Computational Engineering of Ruhr-University Bochum. The system is characterized by its intrinsic flexibility resulting from the modular and open design on each level and the opportunity to implement advanced experimental in situ setups. On the one hand, the presented work is intended to support researchers interested in setting up an experimental XRCT system for the microstructural characterization of materials. On the other hand, it aims to support scientists confronted with the decision to set up a system on their own or to buy a commercial scanner. In addition to the presentation of the various hardware components and the applied modular software concept, the technical opportunities of the open and modular hard- and software design are demonstrated by implementing a simple and reliable method for the compensation of bad detector pixels to enhance the raw data quality of the projections. A detailed investigation of the performance of the presented system with regard to the achievable spatial resolution is presented. XRCT datasets of three different applications are finally shown and discussed, demonstrating the wide scope of options of the presented system.

[1]  Wim Dewulf,et al.  Towards geometrical calibration of x-ray computed tomography systems—a review , 2015 .

[2]  Veerle Cnudde,et al.  Recent Micro-CT Scanner Developments at UGCT , 2014 .

[3]  P. Withers,et al.  Quantitative X-ray tomography , 2014 .

[4]  Hristo N Nikolov,et al.  A quality assurance phantom for the performance evaluation of volumetric micro-CT systems , 2007, Physics in medicine and biology.

[5]  V. Cnudde,et al.  Software tools for quantification of X-ray microtomography at the UGCT , 2007 .

[6]  Jeffrey H Siewerdsen,et al.  A simple approach to measure computed tomography (CT) modulation transfer function (MTF) and noise-power spectrum (NPS) using the American College of Radiology (ACR) accreditation phantom. , 2013, Medical physics.

[7]  Simon Rit,et al.  The Reconstruction Toolkit (RTK), an open-source cone-beam CT reconstruction toolkit based on the Insight Toolkit (ITK) , 2014 .

[8]  Neeraj Seth,et al.  X-ray imaging methods for internal quality evaluation of agricultural produce , 2011, Journal of Food Science and Technology.

[9]  Jan Sijbers,et al.  Fast and flexible X-ray tomography using the ASTRA toolbox. , 2016, Optics express.

[10]  Veerle Cnudde,et al.  High-resolution X-ray computed tomography in geosciences: A review of the current technology and applications , 2013 .

[11]  J. Sarout,et al.  Micro-crack enhanced permeability in tight rocks: An experimental and microstructural study , 2015 .

[12]  Jae G. Kim,et al.  Comparison of ring artifact removal methods using flat panel detector based CT images , 2011, Biomedical engineering online.

[13]  M. Oeser,et al.  Investigation of microstructure characteristics of porous asphalt with relevance to acoustic pavement performance , 2018, International Journal of Transportation Science and Technology.

[14]  Holger Steeb,et al.  A low-cost X-ray-transparent experimental cell for synchrotron-based X-ray microtomography studies under geological reservoir conditions. , 2014, Journal of synchrotron radiation.

[15]  Ryuta Mizutani,et al.  X-ray microtomography in biology. , 2012, Micron.

[16]  K. Rossmann Point spread-function, line spread-function, and modulation transfer function. Tools for the study of imaging systems. , 1969, Radiology.

[17]  Changfa Ai,et al.  Modeling and Optimization of Acoustic Absorption for Porous Asphalt Concrete , 2016 .

[18]  J. Sarout,et al.  Stress‐dependent permeability and wave dispersion in tight cracked rocks: Experimental validation of simple effective medium models , 2017 .

[19]  Johannes E. Schindelin,et al.  Fiji: an open-source platform for biological-image analysis , 2012, Nature Methods.

[20]  Kevin W Eliceiri,et al.  NIH Image to ImageJ: 25 years of image analysis , 2012, Nature Methods.

[21]  Paul J. Williams,et al.  X-ray micro-computed tomography (μCT) for non-destructive characterisation of food microstructure , 2016 .

[22]  Peter J. Gregory,et al.  An X-ray micro-tomography system optimised for the low-dose study of living organisms. , 2003, Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine.

[23]  S. Stock Recent advances in X-ray microtomography applied to materials , 2008 .

[24]  Johannes E. Schindelin,et al.  The ImageJ ecosystem: An open platform for biomedical image analysis , 2015, Molecular reproduction and development.

[25]  C. Vinci,et al.  On attenuation of seismic waves associated with flow in fractures , 2014 .

[26]  Veerle Cnudde,et al.  HECTOR: A 240kV micro-CT setup optimized for research , 2013 .

[27]  H. Steeb,et al.  Nonlinear modeling and computational homogenization of asphalt concrete on the basis of XRCT scans , 2016 .

[28]  Kai Yang,et al.  A geometric calibration method for cone beam CT systems. , 2006, Medical physics.

[29]  Wim Dewulf,et al.  Industrial X-Ray Computed Tomography , 2018 .