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...
| Publicado en: | Journal of Digital Imaging Vol. 24; no. 3; pp. 464 - 470 |
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| Autores principales: | , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104894848&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104894848 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Jun2011 vid: 24 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104894848 60502975 10.1007/s10278-010-9305-6 NLM20503063 104894848 ppf: 464 ppct: 6 formats: fmt: @attributes: type: P tig: 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 refInfo: holdings: @attributes: islocal: N |
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