Abstract
We present two methods for protecting a region of interest (ROI) in a compressed medical image transmitted across a lossy packet network such as the Internet or a wireless channel. We begin with a high quality wavelet-based coder, the Set Partitioning in Hierarchical Trees (SPIHT) algorithm, which orders data progressively by coding the globally important information first. We then compress the ROI to a higher quality than the rest of the image by scaling the wavelet coefficients corresponding to the ROI. This approach moves ROI information earlier in the bit stream. Finally, we add more redundancy to the ROI than to the rest of the image by two techniques. With MD-SPIHT, we repeat wavelet coefficient trees corresponding to the ROI and code them to higher bit rates than the background trees. With ULP-FEC, we use forward error correction (FEC) in an unequal loss protection framework. We find that both methods increase the probability of receiving high quality ROI in the presence of packet loss.
Original language | English |
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Pages (from-to) | 137-148 |
Number of pages | 12 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 4685 |
DOIs | |
State | Published - 2002 |
Event | Medical Imaging 2002 PACS and Integrated Medical Information Systems: Design and Evaluation - San Diego, CA, United States Duration: 26 Feb 2002 → 28 Feb 2002 |
Keywords
- Forward error correction
- Medical image
- Multiple Description network
- Network
- Packet loss
- Region of Interest
- Set Partitioning in Hierarchical Trees
- Unequal loss protection
- Wavelet coder
- Wireless channels