A Convex Reconstruction Model for X-ray Tomographic Imaging with Uncertain Flat-fields

Publication: Research - peer-reviewJournal article – Annual report year: 2017

Documents

DOI

View graph of relations

Classical methods for X-ray computed tomography are based on the assumption that the X-ray source intensity is known, but in practice, the intensity is measured and hence uncertain. Under normal operating conditions, when the exposure time is sufficiently high, this kind of uncertainty typically has a negligible effect on the reconstruction quality. However, in time- or dose-limited applications such as dynamic CT, this uncertainty may cause severe and systematic artifacts known as ring artifacts. By carefully modeling the measurement process and by taking uncertainties into account, we derive a new convex model that leads to improved reconstructions despite poor quality measurements. We demonstrate the effectiveness of the methodology based on simulated and real data sets
Original languageEnglish
Journal IEEE Transactions on Computational Imaging
Number of pages15
ISSN2333-9403
DOIs
StateE-pub ahead of print - 2017
CitationsWeb of Science® Times Cited: No match on DOI

    Keywords

  • X-ray computed tomography, Ring artifacts, Low intensity, Reconstruction methods
Download as:
Download as PDF
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
Word

Download statistics

No data available

ID: 134030001