X-ray CT scanning—once limited to hospital patients—can now image everything from a car engine to an ant’s head in minutes, but researchers are drowning in the resulting data. The problem is not taking the images; it is handling the torrent of information they produce. A single high-resolution scan can generate terabytes of data, and most scientists and engineers lack the computing power and analytical tools to extract useful knowledge from it. This centre will bring together imaging specialists, computer vision experts, and high-performance computing researchers to build a unified system that manages the entire process—from experimental design through data capture to final analysis. If successful, the centre will transform how engineers inspect jet engine components for microscopic cracks, how geoscientists study rock cores to understand carbon storage, and how biomedical researchers track disease progression in animal models. It could accelerate development of safer aircraft, more efficient energy systems, and better understanding of lifelong health. The work is applied, not fundamental: it aims to remove a practical bottleneck that currently limits the use of a powerful imaging technique across multiple fields.
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The childhood dream of Superman's instant 3D X-ray vision is becoming a substantial reality across a tremendous range of contemporary science and engineering. In particular, the three dimensional imaging of X-ray computed tomography (CT) is reaching far beyond the more widely known medical domain, as generally identified with 'CAT' scanning (after computer assisted, or axial, tomography). The last decade has seen the appearance of technologies for rapid, CT scanning of objects, from rockets to rocks to rodents, with commercial equipment that is now within the reach of individual universities and university departments. Whilst taking high resolution three dimensional images has almost become as fast as taking a polaroid photograph, there is a price for scientists and engineers concerned with using the technique. In particular, few turn out to be ready for the enormous volumes of information that are produced and the extensive analysis required. We propose bringing together teams of scientists and engineers that have immediate need of CT imaging, with a suite of advanced CT capabilities, along with world-leading experts in high performance computing (HPC), and the art of image processing within computers (Computer Vision). Together this will produce a uniquely efficient, multi-disciplinary centre for 3D imaging science, exploiting the latest technologies in cost-effective supercomputing and data handling methods. The centre will further exploit our experience in eScience, unifying and simplifying the interaction between human, instrument and data.Over 40 academics, drawn from almost half of the departments of the University are committed to this initiative. Three core themes are identified in Engineering, Biomedical and Environmental Science, addressing many critical current human needs in areas such as energy, climate change and the origins of lifelong health. When included with facilities already available at Southampton, the centre will provide for the entire imaging process for samples of the order of an ant's head to a car engine; from initial experimental concept & training, through data capture & analysis, to new scientific knowledge.
C R I Clayton (Co-Investigator)Ian Sinclair (Principal Investigator)Jeremy Frey (Co-Investigator)Kenji Takeda (Co-Investigator)Mark Nixon (Co-Investigator)Richard Oreffo (Co-Investigator)Simon Coles (Co-Investigator)Simon Spearing (Co-Investigator)
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