Significance of Region of Interest Applied on MRI and CT Images in Teleradiology-Telemedicine
| Autor: | M.A. Muqeet, Tariq Javid Ali, M.I. Bhatti, Pervez Akhtar |
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| Rok vydání: | 2008 |
| Předmět: |
Lossless compression
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Data_CODINGANDINFORMATIONTHEORY Iterative reconstruction Teleradiology File size Region of interest Medical imaging Medicine Computer vision Artificial intelligence Transmission time business Data compression |
| Zdroj: | Medical Imaging and Informatics ISBN: 9783540794899 MIMI |
| DOI: | 10.1007/978-3-540-79490-5_20 |
| Popis: | Within the expanding paradigm of medical imaging in Teleradiology-Telemedicine there is increasing demand for transmitting diagnostic medical imagery. These are usually rich in radiological contents and the associated file sizes are large which must be compressed with minimal file size to minimize transmission time and robustly coded to withstand required network medium. It has been reinforced through extensive research that the diagnostically important regions of medical images, the Region of Interest (ROI) must be compressed by lossless or near lossless algorithm while on the other hand, the background region be compressed with some loss of information but recognizable using JP2K standard. Applying on MRI image achieved higher compression level analogously minimum transmission time, the MAXSHIFT method proved very effective objectively. |
| Databáze: | OpenAIRE |
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