Image Denoising Methods for Tumor Discrimination in High-Resolution Computed Tomography.

Pixel accuracy in images from high-resolution computed tomography (HRCT) is ultimately limited by reconstruction error and noise. While for visual analysis this may not be relevant, for computer-aided quantitative analysis in either densitometric, or shape studies aiming at accurate results, the imp...

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Publicado en:Journal of Digital Imaging Vol. 24; no. 3; pp. 464 - 470
Autores principales: Silva, José, Silva, Augusto, Santos, Beatriz
Formato: diagnostic images equations & formulas research tables/charts Journal Article
Publicado: Springer Nature Jun2011
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2011
      vid: 24
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      pub: Springer Nature
      place: New York, New York
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        atl: Image Denoising Methods for Tumor Discrimination in High-Resolution Computed Tomography.
      aug:
        au:
          Silva, José
          Silva, Augusto
          Santos, Beatriz
      sug:
        subj:
          Image Processing, Computer Assisted Methods
          Tomography, X-Ray Computed
          Artifacts
          Human
          Phantoms, Imaging
      ab: Pixel accuracy in images from high-resolution computed tomography (HRCT) is ultimately limited by reconstruction error and noise. While for visual analysis this may not be relevant, for computer-aided quantitative analysis in either densitometric, or shape studies aiming at accurate results, the impact of pixel uncertainty must be taken into consideration. In this work, we study several denoising methods: geometric mean filter, Wiener filtering, and wavelet denoising. The performance of each method was assessed through visual inspection, profile region intensity analysis, and global figures of merit, using images from brain and thoracic phantoms, as well as several real thoracic HRCT images.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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