Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/107062| Title: | Evaluation of image quality optimisation using VGC and ordinal regression analysis |
| Authors: | Zarb, Francis McEntee, Mark F. Foley, Shane Rainford, Louise |
| Keywords: | X-rays -- Safety measures X-rays -- Equipment and supplies Radiography, Medical -- Equipment and supplies Knee -- Radiography Bones -- Diseases Osteoarthritis |
| Issue Date: | 2013 |
| Publisher: | ESR - European Society of Radiology |
| Citation: | Zarb, F., McEntee, M., & Rainford, L. (2013). Evaluation of image quality optimisation using VGC and ordinal regression analysis. European Congress of Radiology, Vienna. |
| Abstract: | Visually grading the visibility of anatomical or pathological structures on images is a simple powerful method of quantifying the quality characteristics of an image (1-3). The aim of this research was to evaluate observer performance involving absolute visual grading analysis of image criteria using visual grading characteristic curves (VGC) and ordinal regression analysis during head CT examination optimisation. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/107062 |
| Appears in Collections: | Scholarly Works - FacHScRad |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Evaluation_of_image_quality_optimisation_using_VGC_and_ordinal_regression_analysis.pdf | 119.95 kB | Adobe PDF | View/Open |
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