Initial Image Selection in Limited Angle Tomographic Imaging

ERTAŞ M., KAMASAK M. E., YILDIRIM I., AKAN A.

2014 IEEE International Conference on Imaging Systems and Techniques, IST-2014, Santorini, Greece, 14 - 17 October 2014, pp.1-4, (Full Text)

  • Publication Type: Conference Paper / Full Text
  • City: Santorini
  • Country: Greece
  • Page Numbers: pp.1-4
  • Istanbul University-Cerrahpasa Affiliated: No

Abstract

 

In limited angle tomographic imaging, artifacts
arise due to missing data during the acquisition. To deal with this
problem, iterative image reconstruction algorithms have been
developed. In iterative reconstruction algorithms, the initial
image guess which is often neglected is very crucial and plays an
important role as it directly affects the convergence rate. This
paper presents a comparison of three different initial images
(zeroes image, average image, filtered back projected image) to
observe their contribution to the convergence rate. Computer
simulations are performed by using algebraic reconstruction
technique with total variation, (ART + TV).Root means squared
error (RMSE) of a specific layer of interest (LOI) of a 3D
phantom is used to compare the impact of appropriate prior
image selection. For a better visual observation, structure
similarity (SSIM) parameters are also compared.