A novel method for contrast-to-noise ratio (CNR) evaluation of digital mammography detectors.
The purpose of this study was to test a new, simple method of evaluating the contrast-to-noise ratio (CNR) over the entire image field of a digital detector and to compare different mammography systems. Images were taken under clinical exposure conditions for a range of simulated breast thicknesses...
| Publicado en: | European Radiology Vol. 19; no. 9; pp. 2275 - 2286 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Sep2009
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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=105394552&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105394552 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Sep2009 vid: 19 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105394552 43520197 NLM19424702 2010356705 10.1007/s00330-009-1409-3 NLM19424702 105394552 ppf: 2275 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A novel method for contrast-to-noise ratio (CNR) evaluation of digital mammography detectors. aug: au: Baldelli P Phelan N Egan G Baldelli, P Phelan, N Egan, G affil: BreastCheck, The National Cancer Screening Service, 36 Eccles Street, Dublin 7, Ireland sug: subj: Algorithms Mammography Equipment and Supplies Phantoms, Imaging Radiographic Image Enhancement Equipment and Supplies Equipment Design Equipment Failure Reproducibility of Results Sensitivity and Specificity Human ab: The purpose of this study was to test a new, simple method of evaluating the contrast-to-noise ratio (CNR) over the entire image field of a digital detector and to compare different mammography systems. Images were taken under clinical exposure conditions for a range of simulated breast thicknesses using poly(methyl methacrylate) (PMMA). At each PMMA thickness, a second image which included an additional 0.2-mm Al sheet was also acquired. Image processing software was used to calculate the CNR in multiple regions of interest (ROI) covering the entire area of the detector in order to obtain a 'CNR image'. Five detector types were evaluated, two CsI-alphaSi (GE Healthcare) flat panel systems, one alphaSe (Hologic) flat panel system and a two generations of scanning photon counting digital detectors (Sectra). Flat panel detectors exhibit better CNR uniformity compared with the first-generation scanning photon counting detector in terms of mean pixel value variation. However, significant improvement in CNR uniformity was observed for the next-generation scanning detector. The method proposed produces a map of the CNR and a measurement of uniformity throughout the entire image field of the detector. The application of this method enables quality control measurement of individual detectors and a comparison of detectors using different technologies. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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