Evaluation of Lossy data compression of chest X-rays: a receiver operating characteristic study
| Autor: | Arnold Roesner, Peter Uhrmeister, Nadir Ghanem, Elmar Kotter, Jan Torsten Winterer, Mathias Langer, Dieter Jaeger, Almut Einert |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Amorphous silicon
Materials science Lung Neoplasms Silicon X-ray detector chemistry.chemical_element Imaging phantom chemistry.chemical_compound Optics Image Processing Computer-Assisted Humans Radiology Nuclear Medicine and imaging Tube (fluid conveyance) Computed radiography business.industry Phantoms Imaging Detector General Medicine Fractals Radiology Information Systems chemistry ROC Curve Area Under Curve Radiography Thoracic Tomography business Nuclear medicine Algorithms |
| Zdroj: | Investigative radiology. 38(5) |
| ISSN: | 0020-9996 |
| Popis: | To evaluate the quality of chest radiographs after 32:1 compression/decompression with different image compression algorithms.Ten digital (Thoravison) radiographs of an anthropomorphic chest phantom with superimposed simulated nodular lesions (NL) and linear reticular lesions (LL) were obtained. Each radiograph was subdivided into 15 fields; they contained the lesions with a probability of 0.5. The radiographs were compressed and decompressed by using JPEG, fractal and wavelet algorithms at a compression rate of 32:1. Five radiologists evaluated the images. Data were analyzed with the receiver operating characteristic (ROC) method (comparison of area under curve).At 32:1 JPEG or wavelet compression, no statistically significant difference was observed for both NL and LL when compared with the original images. The fractal algorithm performed significantly lower for both NL and LL when compared with the original radiographs.The JPEG and wavelet image compression does not result in loss of relevant information for chest x-rays at a compression rate of 32:1. |
| Databáze: | OpenAIRE |
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