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Iterative image reconstruction for low-dose x-ray CT using a sinogram restoration induced edge-preserving prior

  • Zhaoying Bian
  • , Jing Huang
  • , Jianhua Ma
  • , Hua Zhang
  • , Zhengrong Liang
  • , Wufan Chen
  • Southern Medical University

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

6 Scopus citations

Abstract

Low-dose x-ray computed tomography (CT) scan is clinically desired. However, the quality of low-dose CT image is severely degraded due to excessive photon quantum noise and electronic noise. To improve the quality of CT image with lower milliampere-seconds (mAs), in this study, we developed an iterative image reconstruction algorithm based on the maximum a posterior (MAP) principle. To preserve the edges of the reconstructed image, an edge-preserving prior was designed using a reference image reconstructed from the restored sinogram via a sinogram restoration induced non-local means image filter. For simplicity, the present approach is named as "MAP-SRNLM". Experimental results demonstrate that the present algorithm can achieve more significant gains than the existing algorithms in terms of noise reduction, contrast-to-noise ratio and resolution preservation.

Original languageEnglish
Title of host publication2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1160-1163
Number of pages4
ISBN (Electronic)9781467319591
DOIs
StatePublished - Jul 29 2014
Event2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 - Beijing, China
Duration: Apr 29 2014May 2 2014

Publication series

Name2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

Conference

Conference2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Country/TerritoryChina
CityBeijing
Period04/29/1405/2/14

Keywords

  • Low-dose
  • Non-local means
  • Sinogram restoration
  • X-ray computed tomography

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