Available student project - Compression of 3D X-ray imaging data

Research fields

  • Theoretical Physics
  • Materials Science and Engineering

Project details

The ANU micro-CT lab is host to several 3D X-ray imaging systems (a.k.a. X-ray micro-tomography scanners) that can produce up to ~240GB of data per machine, per day. These scanners provide valuable information on geological, paleontological, and biological specimens. Further increases in the data rate and number of machines will necessitate the use of some sort of compression algorithm to store the recorded data. 

The student will initially assess the practicality of various lossy and lossless compression algorithms. Any lossy compression will introduce defects into the recorded X-ray data; the student will conduct a mathematical and empirical evaluation of the effect that these defects have on: (i) the synthesis of 3D images from the recorded X-ray data; and (ii) the subsequent computational analysis of these 3D images. This investigation may lead to new algorithms to perform either or both of these steps.

Finally, research into "compressed sensing" methods shows that a successful data compression method can actually be used to improve the synthesis of 3D images from the recorded X-ray data; this will be explored if the student has time. 

Required background

Willingness to engage with mathematical, physical, and computational disciplines. Familiarity with python/c/c++ is a bonus.

Project suitability

This research project can be tailored to suit students of the following type(s)
  • 3rd year special project
  • PhB (2nd or 3rd year)
  • Honours project

Contact supervisor

Myers, Glenn profile

Other supervisor(s)

Kingston, Andrew profile

Sheppard, Adrian profile
Head of Department

Updated:  15 January 2019/ Responsible Officer:  Director, RSPE/ Page Contact:  Physics Webmaster