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This project will develop new methods for "intelligent" processing of 3D X-ray data (i.e. methods which use a priori information). These new methods will double as a non-traditional approach to automated image analysis; the project will compare this new approach with more traditional methods.
The CT lab hosts several 3D X-ray imaging systems, each generating ~240GB/day of data. The student will: (i) explore various data compression schemes; (ii) theoretically and empirically analyse interactions between data compression, X-ray image processing, and 3D analysis; (iii) develop new 3D imaging methods, based on successful data compression schemes
"Phantoms" are objects used for performance testing and/or calibration of 3D X-ray computed tomography (CT) systems. This project involves designing, 3D printing, and subsequently imaging phantoms at the micro-CT facility of the Applied Maths department.
The ANU has constructed an X-ray micro-computed tomography facility with a unique helical scanning configuration that enables tomographic images of extremely high quality to be produced. This experimental project will work with theoreticians to image the evolution of time-changing samples with unprecented time resolution.
Fluid flow in porous media combines the impacts of many complex phenomena: fluid properties, solid structure, and the infacial interactions between fluids and solid phases. This project aims to uncover the reasons behind some fundamental differences between experiments conducted in glass bead packs and those conducted in geologic systems (rocks).
High-density objects in specimens of interest (e.g., metal-pins in biological specimens), can cause significant quality degradation of 3D images produced at our micro-tomography facility. This project explores/compares techniques in hardware to avoid the problem and techniques in software to correct for the problems caused by these objects.
The ANU X-ray micro-tomography facility images over a broad spectrum (or range) of X-ray energies. The behaviour of specimens of interest at different X-ray energies can tell us a lot about its composition. This project will explore 1) techniques to image specimens at various X-ray spectral-bands, and 2) methods to analyse the results.
When fluids flow through porous rocks, the relatively slow bulk fluid front advances via a series of very small, very rapid jumps. This project investigates how the distribution and occurance of these jumps are influenced by experimental conditions such as flow rate and intermittentcy.
Plants have an amazing ability to control water transport through their stems and leaves, with some species able to keep functioning in very hostile conditions. This project will use 3D X-ray microscopy to explore the physical changes in plant cells as a result of water stress.
This computational and theoretical project will extract geometric information from sequences of newly obtained 3D x-ray microscope images to better understand how two immiscible fluids interact inside complex porous materials.
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