A motion compounding technique for speckle reduction in ultrasound images.

The quality of ultrasound images is usually influenced by speckle noise and the temporal decorrelation of the speckle patterns. To reduce the speckle noise, compounding techniques have been widely applied. Partially correlated images scanned on the same subject cross-section are combined to generate...

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Publicado en:Journal of Digital Imaging Vol. 23; no. 3; pp. 246 - 258
Autores principales: Lin C, Sun Y
Formato: equations & formulas research tables/charts Journal Article
Publicado: Springer Nature Jun2010
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        atl: A motion compounding technique for speckle reduction in ultrasound images.
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        au:
          Lin C
          Sun Y
        affil: Department of Computer Science and Information Engineering, National Cheng Kung University, No. 1, Ta-Hsueh Road, Tainan, Taiwan, Republic of China
      sug:
        subj:
          Radiographic Magnification Methods
          Ultrasonography
          Artifacts
          Evaluation Research
          Motion
          Phantoms, Imaging
          Radiographic Magnification Evaluation
          Software
      ab: The quality of ultrasound images is usually influenced by speckle noise and the temporal decorrelation of the speckle patterns. To reduce the speckle noise, compounding techniques have been widely applied. Partially correlated images scanned on the same subject cross-section are combined to generate a compound image with improved image quality. However, the compounding technique might introduce image blurring if the transducer or the target moves too fast. This blurring effect becomes especially critical when assessing tissue deformation in clinical motion examinations. In this paper, an ultrasound motion compounding system is proposed to improve the quality of ultrasound motion sequences. The proposed motion compounding technique uses a hierarchical adaptive feature weighted motion estimation method to realign the frames before compounding. Each frame is first registered and warped to the reference frame before being compounded to reduce the speckle noise. Experimental results showed that the motion could be assessed accurately and better visualization could be achieved for the compound images, with improved signal-to-noise and contrast-to-noise ratios.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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