Image quality and dose differences caused by vendor-specific image processing of neonatal radiographs.
Background: Image processing plays an important role in optimizing image quality and radiation dose in projection radiography. Unfortunately commercial algorithms are black boxes that are often left at or near vendor default settings rather than being optimized.Objective: We hypothesize that differe...
| Publicado en: | Pediatric Radiology Vol. 46; no. 11; pp. 1606 - 1614 |
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| Autores principales: | , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2016
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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=118355297&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 118355297 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03010449 O03 jtl: Pediatric Radiology issn: 03010449 maglogo: N pubinfo: dt: Oct2016 vid: 46 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 118355297 118355297 143925071 NLM27488507 10.1007/s00247-016-3663-2 NLM27488507 118355297 ppf: 1606 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Image quality and dose differences caused by vendor-specific image processing of neonatal radiographs. aug: au: Sensakovic, William O'Dell, M. Letter, Haley Kohler, Nathan Rop, Baiywo Cook, Jane Logsdon, Gregory Varich, Laura Sensakovic, William F O'Dell, M Cody affil: Imaging Administration , Florida Hospital , 601 E. Rollins St. Orlando 32803 USA sug: subj: Radiography, Thoracic Methods Radiation Dosage Radiographic Image Interpretation, Computer-Assisted Methods Algorithms Infant, Newborn Radiographic Image Enhancement Phantoms, Imaging Lung Diseases Ferrans and Powers Quality of Life Index Impact of Events Scale Scales Infant, Newborn: birth-1 month ab: Background: Image processing plays an important role in optimizing image quality and radiation dose in projection radiography. Unfortunately commercial algorithms are black boxes that are often left at or near vendor default settings rather than being optimized.Objective: We hypothesize that different commercial image-processing systems, when left at or near default settings, create significant differences in image quality. We further hypothesize that image-quality differences can be exploited to produce images of equivalent quality but lower radiation dose.Materials and Methods: We used a portable radiography system to acquire images on a neonatal chest phantom and recorded the entrance surface air kerma (ESAK). We applied two image-processing systems (Optima XR220amx, by GE Healthcare, Waukesha, WI; and MUSICA(2) by Agfa HealthCare, Mortsel, Belgium) to the images. Seven observers (attending pediatric radiologists and radiology residents) independently assessed image quality using two methods: rating and matching. Image-quality ratings were independently assessed by each observer on a 10-point scale. Matching consisted of each observer matching GE-processed images and Agfa-processed images with equivalent image quality. A total of 210 rating tasks and 42 matching tasks were performed and effective dose was estimated.Results: Median Agfa-processed image-quality ratings were higher than GE-processed ratings. Non-diagnostic ratings were seen over a wider range of doses for GE-processed images than for Agfa-processed images. During matching tasks, observers matched image quality between GE-processed images and Agfa-processed images acquired at a lower effective dose (11 ± 9 μSv; P < 0.0001).Conclusion: Image-processing methods significantly impact perceived image quality. These image-quality differences can be exploited to alter protocols and produce images of equivalent image quality but lower doses. Those purchasing projection radiography systems or third-party image-processing software should be aware that image processing can significantly impact image quality when settings are left near default values. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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