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Quantifying effects of post-processing with visual grading regression
Linköping University, Department of Medical and Health Sciences, Radiology. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Center for Diagnostics, Department of Radiology in Linköping. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-7750-1917
Linköping University, Department of Clinical and Experimental Medicine, Occupational and Environmental Medicine. Linköping University, Faculty of Health Sciences.
Linköping University, Department of Medical and Health Sciences, Radiology. Linköping University, Faculty of Health Sciences.
Linköping University, Department of Medical and Health Sciences, Radiation Physics. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Center for Surgery, Orthopaedics and Cancer Treatment, Department of Radiation Physics. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0003-3352-8330
2012 (English)In: Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment / [ed] Craig K. Abbey; Claudia R. Mello-Thoms, SPIE - International Society for Optical Engineering, 2012, Vol. 8318, Art. no. 83181N- p.Conference paper, Published paper (Refereed)
Abstract [en]

For optimization and evaluation of image quality, one can use visual grading experiments, where observers rate some aspect of image quality on an ordinal scale. To take into account the ordinal character of the data, ordinal logistic regression is used in the statistical analysis, an approach known as visual grading regression (VGR). In the VGR model one may include factors such as imaging parameters and post-processing procedures, in addition to patient and observer identity. In a single-image study, 9 radiologists graded 24 cardiac CTA images acquired with ECG-modulated tube current using standard settings (310 mAs), reduced dose (62 mAs) and reduced dose after post-processing. Image quality was assessed using visual grading with five criteria, each with a five-level ordinal scale from 1 (best) to 5 (worst). The VGR model included one term estimating the dose effect (log of mAs setting) and one term estimating the effect of postprocessing. The model predicted that 115 mAs would be required to reach an 80% probability of a score of 1 or 2 for visually sharp reproduction of the heart without the post-processing filter. With the post-processing filter, the corresponding figure would be 86 mAs. Thus, applying the post-processing corresponded to a dose reduction of 25%. For other criteria, the dose-reduction was estimated to 16-26%. Using VGR, it is thus possible to quantify the potential for dose-reduction of post-processing filters.

Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2012. Vol. 8318, Art. no. 83181N- p.
Series
Proceedings of SPIE, ISSN 0277-786X ; Vol. 8318
Keyword [en]
Image quality; visual grading; ordinal logistic regression; post-processing; dose reduction; filtering
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-79844DOI: 10.1117/12.912321ISI: 000304905600056ISBN: 978-0-8194-8967-8 (print)OAI: oai:DiVA.org:liu-79844DiVA: diva2:544371
Conference
Conference on Medical Imaging - Image Perception, Observer Performance, and Technology Assessment, San Diego, California, USA | February 04, 2012
Available from: 2012-08-14 Created: 2012-08-14 Last updated: 2014-09-24Bibliographically approved

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Smedby, ÖrjanFredrikson, Matsde Geer, JakobSandborg, Michael

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Smedby, ÖrjanFredrikson, Matsde Geer, JakobSandborg, Michael
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RadiologyFaculty of Health SciencesDepartment of Radiology in LinköpingCenter for Medical Image Science and Visualization (CMIV)Occupational and Environmental MedicineRadiation PhysicsDepartment of Radiation Physics
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