A novel adaptive source-channel coding with feedback for progressive transmission of medical images is proposed here. In the source coding part, the transmission starts from the region of interest (RoI). The parity length in the channel code varies with respect to both the proximity of the image subblock to the RoI and the channel noise, which is iteratively estimated in the receiver. The overall transmitted data can be controlled by the user (clinician). In the case of medical data transmission, it is vital to keep the distortion level under control as in most of the cases certain clinically important regions have to be transmitted without any visible error. The proposed system significantly reduces the transmission time and error. Moreover, the system is very user friendly since the selection of the RoI, its size, overall code rate, and a number of test features such as noise level can be set by the users in both ends. A MATLAB-based TCP/IP connection has been established to demonstrate the proposed interactive and adaptive progressive transmission system. The proposed system is simulated for both binary symmetric channel (BSC) and Rayleigh channel. The experimental results verify the effectiveness of the design.

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An interactive and adaptive joint source-channel coding for progressive transmission of medical images is proposed. This modality is favorable since the region of interest (RoI) is emphasized. The source compression rate is influenced by the proximity to the ROI, which includes significant diagnostic information. Also, the channel coding scalability is affected by both the ROI and the channel characteristics. Therefore both the source compression rate and the parity code length are jointly adapted to (1) the ROI, (2) the channel characteristics, and (3) the required rate or channel capacity. The experimental results verify the effectiveness of the design. The outcome of this project allows transmission of large medical images through narrowband mobile communication channels.

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