Continuing challenges in defining image quality.
To achieve significant dose reduction without compromising diagnostic efficacy, it is important to understand the effects of exposure reduction on image quality, a concept that is often mentioned but not well defined in the imaging literature. Studies to assess subjective image quality for digital r...
| Publicado en: | Pediatric Radiology Vol. 41; no. 5; pp. 582 - 588 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
May2011
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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=104872809&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104872809 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03010449 O03 jtl: Pediatric Radiology issn: 03010449 maglogo: N pubinfo: dt: May2011 vid: 41 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104872809 NLM21491198 2011013341 10.1007/s00247-011-2028-0 NLM21491198 104872809 ppf: 582 ppct: 6 formats: fmt: @attributes: type: P tig: atl: Continuing challenges in defining image quality. aug: au: Shet N Chen J Siegel EL Shet, Narendra Chen, Joseph Siegel, Eliot L affil: Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA sug: subj: Pediatrics Standards Quality Control (Technology) Radiation Dosage Radiographic Image Enhancement Standards ab: To achieve significant dose reduction without compromising diagnostic efficacy, it is important to understand the effects of exposure reduction on image quality, a concept that is often mentioned but not well defined in the imaging literature. Studies to assess subjective image quality for digital radiography (DR) demonstrate wide variability among radiologists and technologists, resulting in substantial variability in the determination of acceptable image quality and optimal radiation exposure required to obtain a high-quality radiograph. In addition to improving detector technology and image processing techniques and tailoring exposure to the exam type and patient body habitus, it is possible to take advantage of informatics-based and psychoperceptual approaches. These can be used to establish the relative trade-offs among patient exposure, perceived image quality, and diagnostic efficacy. Innovations such as automated quality assessment of digital radiographs, use of a mathematical model of the human visual system to predict the perceived impact of lower radiation exposure, the creation of a quality-assessment database of images, and better definition and training of radiologists in the determination of image quality can help to reduce variability in assessment and facilitate reductions in dose while minimizing negative effects on image quality. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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