Published January 1, 2014 | Version v1
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An iterative tomosynthesis reconstruction using total variation combined with non-local means filtering

  • 1. Istanbul Univ, Dept Elect Engn & Elect, TR-34320 Istanbul, Turkey
  • 2. Istanbul Tech Univ, Dept Comp Engn, TR-34469 Istanbul, Turkey

Description

Background: After the release of compressed sensing (CS) theory, reconstruction algorithms from sparse and incomplete data have shown great improvements in diminishing artifacts of missing data. Following this progress, both local and non-local regularization induced iterative reconstructions have been actively used in limited view angle imaging problems.

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