Distributed system for medical image transfer using wavelet-based dynamic RoI coding

A medical image usually has a large amount of data in order to get a high image quality which is crucial to support a right diagnosis. Therefore lossless compression schemes play a key role in saving and transferring a medical image data. Since there is a tradeoff between reconstructed image quality and achieved compression ratio, an optimum compression ratio is important. In this paper, we propose a distributed system for medical image transfer using wavelet-based image coding with scalable reconstruction quality on dynamic user-defined region of interest (Rol). This proposed medical image transfer scheme adopts wavelet techniques and layered image representation structure of the JPEG2000 Part 1 image coding standard to provide quality refinement over specific area of the transferred image. We will compare the performance between distributed and non-distributed system. A laboratory experiment evaluating the required time to process a 1024x1024 pixels image shows that the distributed system require less time processing than the non-distributed system with better compression ratio.