Literature DB >> 21876286

A new CT metal artifacts reduction algorithm based on fractional-order sinogram inpainting.

Yi Zhang1, Yi-Fei Pu, Jin-Rong Hu, Yan Liu, Ji-Liu Zhou.   

Abstract

In this paper, we propose a new metal artifacts reduction algorithm based on fractional-order total-variation sinogram inpainting model for X-ray computed tomography (CT). The numerical algorithm for our fractional-order framework is also analyzed. Simulations show that, both quantitatively and qualitatively, our method is superior to conditional interpolation methods and the classic integral-order total variation model.

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Year:  2011        PMID: 21876286     DOI: 10.3233/XST-2011-0300

Source DB:  PubMed          Journal:  J Xray Sci Technol        ISSN: 0895-3996            Impact factor:   1.535


  7 in total

1.  Statistical iterative reconstruction using adaptive fractional order regularization.

Authors:  Yi Zhang; Yan Wang; Weihua Zhang; Feng Lin; Yifei Pu; Jiliu Zhou
Journal:  Biomed Opt Express       Date:  2016-02-24       Impact factor: 3.732

2.  Convolutional Neural Network Based Metal Artifact Reduction in X-Ray Computed Tomography.

Authors:  Yanbo Zhang; Hengyong Yu
Journal:  IEEE Trans Med Imaging       Date:  2018-06       Impact factor: 10.048

3.  [An adaptive CT metal artifact reduction algorithm that combines projection interpolation and physical correction].

Authors:  Q Zhu; Y Wang; M Zhu; X Tao; Z Bian; J Ma
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2022-06-20

4.  Single-energy metal artefact reduction with CT for carbon-ion radiation therapy treatment planning.

Authors:  Kentaro Miki; Shinichiro Mori; Azusa Hasegawa; Kensuke Naganawa; Masashi Koto
Journal:  Br J Radiol       Date:  2016-03-04       Impact factor: 3.039

5.  Gaussian diffusion sinogram inpainting for X-ray CT metal artifact reduction.

Authors:  Chengtao Peng; Bensheng Qiu; Ming Li; Yihui Guan; Cheng Zhang; Zhongyi Wu; Jian Zheng
Journal:  Biomed Eng Online       Date:  2017-01-05       Impact factor: 2.819

6.  A projection-domain iterative algorithm for metal artifact reduction by minimizing the total-variation norm and the negative-pixel energy.

Authors:  Gengsheng L Zeng
Journal:  Vis Comput Ind Biomed Art       Date:  2022-01-02

7.  Deformable Known Component Model-Based Reconstruction for Coronary CT Angiography.

Authors:  X Zhang; S Tilley; S Xu; A Mathews; E R McVeigh; J W Stayman
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-03-09
  7 in total

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