ROI Based DICOM Image Compression for Telemedicine

Many classes of images contains spatial regions which are more important than other regions. Compression methods which are capable of delivering higher reconstruction quality for the important parts are attractive in this situation. For the medical images, only a small portion of the image might be diagnostically useful, but the cost of a wrong interpretation is high. Hence, Region Based Coding (RBC) technique is significant for medical image compression and transmission. Lossless compression schemes with secure transmission play a key role in telemedicine applications that helps in accurate diagnosis and research. In this paper we propose lossless scalable RBC for Digital Imaging and Communications in Medicine (DICOM) images based on Integer Wavelet Transform (IWT) and with distortion limiting compression technique for other region in image. The main objective of this work is, to rejects the noisy background and reconstructs the image portion losslessly. The compressed image can be access and send over telemedicine network using personal digital assistance (PDA) like mobile.