3-D Scalable Medical Image Compression With Optimized Volume of Interest Coding

We present a novel 3-D scalable compression method for medical images with optimized volume of interest (VOI) coding. The method is presented within the framework of interactive telemedicine applications, where different remote clients may access the compressed 3-D medical imaging data stored on a central server and request the transmission of different VOIs from an initial lossy to a final lossless representation. The method employs the 3-D integer wavelet transform and a modified EBCOT with 3-D contexts to create a scalable bit-stream. Optimized VOI coding is attained by an optimization technique that reorders the output bit-stream after encoding, so that those bits belonging to a VOI are decoded at the highest quality possible at any bit-rate, while allowing for the decoding of background information with peripherally increasing quality around the VOI. The bit-stream reordering procedure is based on a weighting model that incorporates the position of the VOI and the mean energy of t...

• Type: Journal
• Year: 2010
• Where: TMI
• Authors: Victor Sanchez, Rafeef Abugharbieh, Panos Nasiopoulos
• Keywords: 3-D Medical Imaging, 3-D Scalable Compression, Management, Medical Imaging Data, TMI 2010