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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pambrun, J.-F. Noumeir, R. |
| Copyright Year | 2011 |
| Description | Author affiliation: École de Technologie Supérieure, University of Quebec, Department of Electrical Engineering, 1100 Notre-Dame West, Montreal, Canada, H3C 1K3 (Pambrun, J.-F.; Noumeir, R.) |
| Abstract | Modern medical equipments produce huge amounts of data that need to be archived for long periods and efficiently transferred over networks. Data compression plays an essential role in reducing the amount of medical imaging data. Medical images can usually be compressed by a factor of three before any degradation appears. Higher compression levels are desirable but can only be achieved with lossy compression, thus scarifying image quality. The diagnosis value of compressed medical images has been studied and recommendations about maximum acceptable compression ratios have been provided based on qualitative visual analysis. It has been suggested, without further investigation, that CT images, with thicknesses below five mm, cannot undergo lossy compression if diagnostic value needed to be preserved. In this paper, we present an objective quantitative quality assessment of compressed CT images using Visual Signal to Noise Ratio. Our results show that visual fidelity can be significantly affected by two factors, slice thickness and exposure time, for images compressed using the same compression ratio. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 1333753 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781612843483 |
| ISSN | 19457871 |
| e-ISBN | 9781612843506 |
| e-ISBN | 9781612843490 |
| DOI | 10.1109/ICME.2011.6012148 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-11 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image coding Visualization Computed tomography Transform coding Biomedical imaging Lungs Measurement Exposure Time Medical Imaging Compression JPEG2000 Human Visual System (HVS) Quality Assessment Computerized Tomography (CT) Slice Thickness |
| Content Type | Text |
| Resource Type | Article |
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