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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dhouib, D. Nait-Ali, A. Olivier, C. Naceur, M.S. |
| Copyright Year | 2009 |
| Description | Author affiliation: SIC of XLIM Laboratory UMR CNRS 6172, Université de Poitiers, France (Dhouib, D.; Olivier, C.) || LTSIRS Laboratory, Ecole Nationale d'ingénieurs de Tunis, B.P. 37 le Belvédère 1002 .Tunisia (Naceur, M.S.) || LiSSi EA 3956 laboratory, Université de Paris 12, France (Nait-Ali, A.) |
| Abstract | In this work, we compare the performances of three wavelet based coding algorithms such as 3D QTL, 3D SPIHT and JPEG2K applied to 3D Brain Tumor MRI Images. An objective comparison is achieved between the three coders, namely 3D SPIHT, 3D QTL and JPEG2K. For those tests, eight MRI brain tumor scan test sets of 256 × 256 × 124 voxels of different patients have been used in order to compare those three coders. Results show the superiority of 3D SPIHT algorithm, whereas 3D QT-L outperforms JPEG2K. Thus we may conclude, although 3D SPIHT perform good results, but it is not sufficient to reduce the storage space and transmission bitrate in case of telemedicine. So we must find a solution which can compress and transmit only the region important for diagnosis (in our case a tumor) with a high bitrate and the other regions with a low bitrate. The Region of interest (ROI) based compression may be the solution to this problem. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 815677 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424443451 |
| DOI | 10.1109/SSD.2009.4956759 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-03-23 |
| Publisher Place | Tunisia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image coding Magnetic resonance imaging Telemedicine wavelet based coder Laboratories Bit rate Transform coding Neoplasms Medical diagnostic imaging medical imaging Biomedical imaging Testing |
| Content Type | Text |
| Resource Type | Article |
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