Evaluation of image quality and task performance for a mobile C-arm with a complementary metal–oxide semiconductor detector Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.1117/1.jmi.7.1.015501
We assessed interventional radiologists' task-based image quality preferences for two- and three-dimensional images obtained with a complementary metal-oxide semiconductor (CMOS) flat-panel detector versus a hydrogenated amorphous silicon (a-Si:H) flat-panel detector. CMOS and a-Si:H detectors were implemented on identical mobile C-arms to acquire radiographic, fluoroscopic, and cone-beam computed tomography (CBCT) images of cadavers undergoing simulated interventional procedures using low- and high-dose settings. Images from both systems were displayed side by side on calibrated, diagnostic-quality displays, and three interventional radiologists evaluated task performance relevant to each image and ranked their preferences based on visibility of pertinent anatomy and interventional devices. Overall, CMOS images were preferred in fluoroscopy ( ) and CBCT ( ), at low-dose settings ( ), and for tasks associated with high levels of spatial resolution [e.g., fine anatomical details ( ) and assessment of interventional devices ( )]. No significant difference was found for fluoroscopic imaging tasks emphasizing temporal resolution ( ), for radiography tasks ( ), when using high-dose settings ( ), or tasks involving general anatomy ( ). The image quality preferences are consistent with reported technical advantages of CMOS regarding finer pixel size and reduced electronic noise.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1117/1.jmi.7.1.015501
- OA Status
- green
- Cited By
- 5
- References
- 13
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3000988174
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3000988174Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1117/1.jmi.7.1.015501Digital Object Identifier
- Title
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Evaluation of image quality and task performance for a mobile C-arm with a complementary metal–oxide semiconductor detectorWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
-
2020-01-24Full publication date if available
- Authors
-
Godwin Abiola, Niral Sheth, Wojciech Zbijewski, Matthew W. Jacobson, Christopher R. Bailey, John Filtes, Gerhard Kleinszig, Sebastian Vogt, S. Söllradl, Jens Bialkowski, William S. Anderson, Jeffrey H. Siewerdsen, Clifford R. WeissList of authors in order
- Landing page
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https://doi.org/10.1117/1.jmi.7.1.015501Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://www.ncbi.nlm.nih.gov/pmc/articles/6978664Direct OA link when available
- Concepts
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Image quality, Medicine, Fluoroscopy, Radiography, Nuclear medicine, Image noise, Medical physics, Radiology, Artificial intelligence, Computer science, Image (mathematics)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
- Citations by year (recent)
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2024: 2, 2023: 1, 2022: 2Per-year citation counts (last 5 years)
- References (count)
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13Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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