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CT reconstruction based on improved total variation minimization

  • Xi'an Jiaotong University

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

1 Scopus citations

Abstract

Reconstruction algorithm based on total variation (TV) minimization has become a hot topic in CT field. In order to make a better balance between suppressing noise and preserving edge, an improved variation is proposed in this paper. An anisotropic strategy is developed to effectively preserve the edges of imaging objects. Simultaneously, the unity weight in the original variation is substituted by an amplitude dependent weight to suppress the smaller variations, which arise from noise effect with a higher possibility. Numerical simulations validated that the CT reconstruction based on the improved variation has a better reconstruction performance as compared to its original counterpart.

Original languageEnglish
Title of host publicationIEEE Nuclear Science Symposuim and Medical Imaging Conference, NSS/MIC 2010
Pages3241-3244
Number of pages4
DOIs
StatePublished - 2010
Event2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010 - Knoxville, TN, United States
Duration: 30 Oct 20106 Nov 2010

Publication series

NameIEEE Nuclear Science Symposium Conference Record
ISSN (Print)1095-7863

Conference

Conference2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010
Country/TerritoryUnited States
CityKnoxville, TN
Period30/10/106/11/10

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