Compressed sensing for phase contrast CT

Thomas Gaass, Guillaume Potdevin, Peter B. Noël, Arne Tapfer, Marian Willner, Julia Herzen, Martin Bech, Franz Pfeiffer, Axel Haase

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Modern x-ray techniques opened the possibility to retrieve phase information. Phase-contrast computed tomography (PCCT) has the potential to significantly improve soft tissue contrast. Radiation dose, however, continues to be an issue when moving from bench to bedside. Dose reduction in this work is achieved by sparsely acquiring PCCT data. To compensate for appearing aliasing artifacts we introduce a compressed sensing (CS) reconstruction framework. We present the feasibility of CS on PCCT with numerical as well as measured phantom data. The results proof that CS compensates for under-sampling artifacts and maintains the superior soft tissue contrast and detail visibility in the reconstructed images.

Original languageEnglish
Title of host publicationInternational Workshop on X-Ray and Neutron Phase Imaging with Gratings
Pages150-154
Number of pages5
DOIs
StatePublished - 2012
EventInternational Workshop on X-Ray and Neutron Phase Imaging with Gratings, XNPIG 2012 - Tokyo, Japan
Duration: 5 Mar 20127 Mar 2012

Publication series

NameAIP Conference Proceedings
Volume1466
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

ConferenceInternational Workshop on X-Ray and Neutron Phase Imaging with Gratings, XNPIG 2012
Country/TerritoryJapan
CityTokyo
Period5/03/127/03/12

Keywords

  • Compressed Sensing
  • Computed Tomography
  • Phase Contrast
  • Wavelet

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