Developing real-space filtering techniques for image enhancement in computed tomography reconstruction — ICTMS Committee Dep of Applied Maths Australian National University
  1. Schedule
  2. Afternoon Tea and Poster session
  3. Developing real-space filtering techniques for image enhancement in computed tomography reconstruction

Developing real-space filtering techniques for image enhancement in computed tomography reconstruction (81)

Michael A Williams 1 , Stephen Bosi 1 2 , Konstantin Pavlov 1 3 4
  1. School of science and technology, University of New England, Armidale, NSW, Australia
  2. Institute of Medical Physics, University of Sydney, Sydney, NSW, Australia
  3. School of Physics and Astronomy, Monash University, Melbourne, Victoria, Australia
  4. School of Physics and Chemical sciences, University of Canterbury, Christchurch, New Zealand

Selective enhancement algorithms seek to identify intensity spikes (associated with Poisson noise) and boundaries (edges, corresponding to real features of a scanned object) within projections (for computed tomography) and preferentially enhance boundaries. Improved imagequality (and image-quality metrics) areobserved for CT reconstructions from selectively enhanced projections.

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