Patch Based Grid Artifact Suppressing in Digital Mammography.

The mammography is the first choice of breast cancer screening, which has proven to be the most effective screening method. An antiscatter grid is usually employed to enhance the contrast of image by absorbing unexpected scattered signals. However, the grid pattern casts shadows and grid artifacts,...

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Publicado en:BioMed Research International Vol. 2018; pp. 1 - 12
Autores principales: Ling, Qingqing, Wu, Shuyu, Duan, Xiaoman, Qin, Genggeng, Ma, Jianhui, Chen, Chaomin, Qi, Hongliang, Zhou, Linghong, Xu, Yuan
Formato: diagnostic images equations & formulas pictorial research Journal Article
Publicado: Wiley-Blackwell 8/12/2018
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 8/12/2018
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      pub: Wiley-Blackwell
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        10.1155/2018/9727259
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        atl: Patch Based Grid Artifact Suppressing in Digital Mammography.
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        au:
          Ling, Qingqing
          Wu, Shuyu
          Duan, Xiaoman
          Qin, Genggeng
          Ma, Jianhui
          Chen, Chaomin
          Qi, Hongliang
          Zhou, Linghong
          Xu, Yuan
        affil: School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
      sug:
        subj:
          Mammography Methods
          Radiographic Image Enhancement
          Image Processing, Computer Assisted
          Qualitative Studies
          Quantitative Studies
          Simulations
      ab: The mammography is the first choice of breast cancer screening, which has proven to be the most effective screening method. An antiscatter grid is usually employed to enhance the contrast of image by absorbing unexpected scattered signals. However, the grid pattern casts shadows and grid artifacts, which severely degrade the image quality. To solve the problem, we propose the patch based frequency signal filtering for fast grid artifacts suppressing. As opposed to whole image processing synchronously, the proposed method divides image into a number of blocks for tuning filter simultaneously, which reduces the frequency interference among image blocks and saves computation time by multithread processing. Moreover, for mitigating grid artifacts more precisely, characteristic peak detection is employed in each block automatically, which can accurately identify the location of the antiscatter grid and its motion pattern. Qualitative and quantitative studies were performed on simulation and real machine data to validate the proposed method. The results show great potential for fast suppressing grid artifacts and generating high quality of digital mammography.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        equations & formulas
        pictorial
        research
        Journal Article
      ougenre: Article
    language: English
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