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A 4-afc study comparing ultrasound machines using a greyscale phantom
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- Lorentsson, Robert, 1969 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för radiofysik,Institute of Clinical Sciences, Department of Radiation Physics
- Hosseini, N. (author)
- Johansson, J.O. (author)
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- Rosenberg, W. (author)
- Stenborg, B. (author)
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- (creator_code:org_t)
- Cham : Springer International Publishing, 2015
- 2015
- English.
- In: IFMBE Proceedings. 16th Nordic-Baltic Conference on Biomedical Engineering. October 14-16, 2014, Gothenburg, Sweden. - Cham : Springer International Publishing. - 1680-0737. ; 48, s. 82-85
- Conference paper (peer-reviewed)
Abstract
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- © Springer International Publishing Switzerland 2015. Two ultrasound machines, one high-end and one ordinary, were compared in terms of their ability to reproduce low-contrast objects using the same probe. Images containing 4 mm objects of four different contrasts were collected from a greyscale phantom at 35-42 mm depth. Six observers participated in a 4-alternative forced choice study based on 120 images. At this certain depth and object size the proportion of correct responses was higher (statistically significant) for the high-end machine at three of four contrast levels, indicating the possibility to discriminate between ultrasound machines using a limited number of images of a greyscale phantom. However, the number of images and number of observers needed are larger than usually used for constancy control.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinsk bioteknologi -- Biomedicinsk laboratorievetenskap/teknologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Medical Biotechnology -- Biomedical Laboratory Science/Technology (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
Keyword
- 4-AFC
- Detection
- Phantom observation
- Ultrasound
Publication and Content Type
- ref (subject category)
- kon (subject category)
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