Object removal in gradient domain of cone-beam CT projections

Bastian Bier, Martin Berger, Jennifer Maier, Mathias Unberath, Scott Hsieh, Serena Bonaretti, Rebecca Fahrig, Marc E. Levenston, Garry E. Gold, Andreas Maier

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a method to reduce streak artifacts in cone-beam CT reconstructions that arise from the edges of dense objects outside the 3D field-of-view. To this end, ramp filtering is decomposed into a derivative- and a Hilbert transform step. This allows for spectral inpainting directly in gradient domain, such that only contributions of sharp edges are removed. We applied our approach to weight-bearing knee imaging data, where plastic pipes outside the field-of-view introduce notable streak artifacts. Streak artifacts in the reconstructions are reduced and on semi-simulated data the correlation coefficient could be improved from 0.88 to 0.99. The method is applicable for arbitrary object shapes and can be easily integrated into existing FDK reconstruction algorithms.

Original languageEnglish (US)
Title of host publication2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509016426
DOIs
StatePublished - Oct 16 2017
Event2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016 - Strasbourg, France
Duration: Oct 29 2016Nov 6 2016

Publication series

Name2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016
Volume2017-January

Conference

Conference2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016
CountryFrance
CityStrasbourg
Period10/29/1611/6/16

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Instrumentation
  • Nuclear and High Energy Physics
  • Electronic, Optical and Magnetic Materials

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