학술논문

Significance of Region of Interest Applied on MRI Image in Teleradiology-Telemedicine
Document Type
Conference
Source
2007 1st International Conference on Bioinformatics and Biomedical Engineering Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on. :1331-1334 Jul, 2007
Subject
Bioengineering
Computing and Processing
Magnetic resonance imaging
Image coding
Biomedical imaging
Medical diagnostic imaging
Biomedical engineering
Image reconstruction
Costs
Image analysis
Image storage
Discrete wavelet transforms
Language
ISSN
2151-7614
2151-7622
Abstract
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.