Statistical Characterization of Portal Images and Noise from Portal Imaging Systems.
In this paper, we consider the statistical characteristics of the so-called portal images, which are acquired prior to the radiotherapy treatment, as well as the noise that present the portal imaging systems, in order to analyze whether the well-known noise and image features in other image modaliti...
| Publicado en: | Journal of Digital Imaging Vol. 26; no. 3; pp. 457 - 466 |
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| Autores principales: | , , , |
| Formato: | diagnostic images tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2013
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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=104285065&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104285065 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Jun2013 vid: 26 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104285065 87498133 10.1007/s10278-012-9516-0 NLM22915239 PMC3649047 104285065 ppf: 457 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Statistical Characterization of Portal Images and Noise from Portal Imaging Systems. aug: au: González-López, Antonio Morales-Sánchez, Juan Verdú-Monedero, Rafael Larrey-Ruiz, Jorge affil: Servicio de Radiofísica y Protección Radiológica, Hospital Universitario Virgen de la Arrixaca, Ctra. Madrid-Cartagena 30120 El Palmar (Murcia) Spain sug: subj: Radiotherapy Radiotherapy, Computer-Assisted Simulations Artifacts Statistics Radiographic Magnification ab: In this paper, we consider the statistical characteristics of the so-called portal images, which are acquired prior to the radiotherapy treatment, as well as the noise that present the portal imaging systems, in order to analyze whether the well-known noise and image features in other image modalities, such as natural image, can be found in the portal imaging modality. The study is carried out in the spatial image domain, in the Fourier domain, and finally in the wavelet domain. The probability density of the noise in the spatial image domain, the power spectral densities of the image and noise, and the marginal, joint, and conditional statistical distributions of the wavelet coefficients are estimated. Moreover, the statistical dependencies between noise and signal are investigated. The obtained results are compared with practical and useful references, like the characteristics of the natural image and the white noise. Finally, we discuss the implication of the results obtained in several noise reduction methods that operate in the wavelet domain. pubtype: Academic Journal doctype: diagnostic images tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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