Adaptive nonlocal means-regularized iterative image reconstruction for sparse-view CT

Hao Zhang, Jianhua Ma, Jing Wang, Yan Liu, Hao Han, William Moore, Michael Salerno, Zhengrong Liang

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

1 Scopus citations

Abstract

Low-dose X-ray computed tomography (CT) imaging is desirable for various clinical applications due to the growing concerns about excessive radiation exposure to the patients. One strategy to achieve low-dose CT imaging is to lower the number of projection views per rotation during data acquisition. However, the resulting image by the conventional filtered back-projection method may suffer from view-aliasing artifacts due to insufficient angular sampling. In this work, we propose a nonlocal means (NLM)-regularized iterative reconstruction scheme for low-dose CT from sparse-view acquisitions. In order to improve the quality of reconstructed images, we further introduce spatial adaptivity to the NLM-based regularization by considering the local characteristics of images. The resulting approach is termed as adaptive NLM-regularized iterative image reconstruction. Experimental results demonstrated the feasibility of the presented reconstruction scheme for sparse-view CT and the superiority of incorporating the spatial adaptivity.

Original languageEnglish (US)
Title of host publication2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479960972
DOIs
StatePublished - Mar 10 2016
EventIEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014 - Seattle, United States
Duration: Nov 8 2014Nov 15 2014

Other

OtherIEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
CountryUnited States
CitySeattle
Period11/8/1411/15/14

ASJC Scopus subject areas

  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging

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    Zhang, H., Ma, J., Wang, J., Liu, Y., Han, H., Moore, W., Salerno, M., & Liang, Z. (2016). Adaptive nonlocal means-regularized iterative image reconstruction for sparse-view CT. In 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014 [7430948] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2014.7430948