Computer Science and
     Software Engineering

Computer Science and Software Engineering

CSSE Seminar Series (CSSESS)

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Seminar

Compression and Visualisation of Spectral CT Datasets


Speaker
Alex Chernoglazov

Institute
University of Canterbury

Time & Place
3-4pm, Friday, 13 July, in Room 031, Erskine Building

All are welcome

Abstract

"Spectral computed tomography (CT) is a novel medical imaging technique that involves simultaneously counting photons at several energy levels of the x-ray spectrum to obtain a single multi-variate volumetric dataset. In contrast to standard CT, spectral CT is capable of providing true-colour imaging of the human body which, in the future, is expected to help diagnose complex conditions such as atherosclerosis or fatty liver disease. The MARS (Medipix All Resolution System) project is currently developing the world's first complete spectral CT system by building the scanner hardware and creating custom image acquisition, reconstruction and visualisation software. My involvement in the MARS project focused on visualisation of extremely large spectral CT datasets which posed a significant problem for traditional visualisation techniques and algorithms. In this talk, I will discuss the properties of spectral CT datasets and present two algorithms for GPU-accelerated real-time rendering from compressed spectral CT data formats. In addition, I will discuss the implementation of volume raycasting algorithms on modern GPU hardware and their optimisation for efficient visualisation of spectral CT data."


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