Dr. Arthur Sakellariou Profile

Dr. Arthur Sakellariou

at Australian National Univ

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Publications (6)

Proceedings Article | 14 September 2011 Paper

Toolbox for advanced x-ray image processing

Timur Gureyev, Yakov Nesterets, Dimitri Ternovski, Darren Thompson, Stephen Wilkins, Andrew Stevenson, Arthur Sakellariou, John Taylor

Proceedings Volume 8141, 81410B (2011) https://doi.org/10.1117/12.893252

KEYWORDS: CT reconstruction, Reconstruction algorithms, X-rays, X-ray imaging, Computer simulations, Computing systems, Image processing, Human-machine interfaces, Computed tomography

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Proceedings Article | 20 September 2010 Paper

Fast high-resolution micro-CT with exact reconstruction methods

T. Varslot, A. Kingston, A. Sheppard, A. Sakellariou

Proceedings Volume 7804, 780413 (2010) https://doi.org/10.1117/12.860298

KEYWORDS: Sensors, X-rays, Signal to noise ratio, Reconstruction algorithms, Error analysis, X-ray detectors, Tomography, Solids, X-ray sources, Tolerancing

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Proceedings Article | 2 September 2010 Paper

An auto-focus method for generating sharp 3D tomographic images

A. Kingston, A. Sakellariou, A. Sheppard, T. Varslot, S. Latham

Proceedings Volume 7804, 78040J (2010) https://doi.org/10.1117/12.860285

KEYWORDS: Sensors, Tomography, Optical components, Image processing, Cameras, 3D image processing, Linear filtering, Algorithm development, Software development, Data corrections

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Proceedings Article | 2 September 2010 Paper

Tomographic image analysis and processing to simulate micro-petrophysical experiments

A. Sakellariou, A. Kingston, T. Varslot, A. Sheppard, S. Latham, R. Sok, C. Arns, T. Senden, M. Knackstedt

Proceedings Volume 7804, 78040P (2010) https://doi.org/10.1117/12.860293

KEYWORDS: Image segmentation, Tomography, Image registration, Scanning electron microscopy, Calibration, 3D image processing, Photomicroscopy, X-rays, Microfluidics, 3D metrology

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Proceedings Article | 7 September 2006 Paper

Quantitative properties of complex porous materials calculated from x-ray μCT images

Adrian Sheppard, Christoph Arns, Arthur Sakellariou, Tim Senden, Rob Sok, Holger Averdunk, Mohammad Saadatfar, Ajay Limaye, Mark Knackstedt

Proceedings Volume 6318, 631811 (2006) https://doi.org/10.1117/12.679205

KEYWORDS: X-rays, 3D image processing, Carbonates, Tomography, X-ray imaging, Reconstruction algorithms, Radiography, Throat, Cameras, Algorithm development

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A microcomputed tomography (μCT) facility and computational infrastructure developed at the Department of Applied Mathematics at the Australian National University is described. The current experimental facility is capable of acquiring 3D images made up of 2000³ voxels on porous specimens up to 60 mm diameter with resolutions down to 2 μm. This allows the three-dimensional (3D) pore-space of porous specimens to be imaged over several orders of magnitude. The computational infrastructure includes the establishment of optimised and distributed memory parallel algorithms for image reconstruction, novel phase identification, 3D visualisation, structural characterisation and prediction of mechanical and transport properties directly from digitised tomographic images. To date over 300 porous specimens exhibiting a wide variety of microstructure have been imaged and analysed. In this paper, analysis of a small set of porous rock specimens with structure ranging from unconsolidated sands to complex carbonates are illustrated. Computations made directly on the digitised tomographic images have been compared to laboratory measurements. The results are in excellent agreement. Additionally, local flow, diffusive and mechanical properties can be numerically derived from solutions of the relevant physical equations on the complex geometries; an experimentally intractable problem. Structural analysis of data sets includes grain and pore partitioning of the images. Local granular partitioning yields over 70,000 grains from a single image. Conventional grain size, shape and connectivity parameters are derived. The 3D organisation of grains can help in correlating grain size, shape and orientation to resultant physical properties. Pore network models generated from 3D images yield over 100000 pores and 200000 throats; comparing the pore structure for the different specimens illustrates the varied topology and geometry observed in porous rocks. This development foreshadows a new numerical laboratory approach to the study of complex porous materials.

Proceedings Article | 26 October 2004 Paper

An x-ray tomography facility for quantitative prediction of mechanical and transport properties in geological, biological, and synthetic systems

Arthur Sakellariou, Tim Senden, Tim Sawkins, Mark Knackstedt, Michael Turner, Anthony Jones, Mohammad Saadatfar, Ray Roberts, Ajay Limaye, Christoph Arns, Adrian Sheppard, Rob Sok

Proceedings Volume 5535, (2004) https://doi.org/10.1117/12.559200

KEYWORDS: X-rays, Bone, Tomography, Image segmentation, Foam, 3D image processing, Cameras, Volume rendering, Biological research, Composites

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