Abstract
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.
Highlights
Transmission of medical images aiming at medical consultation, diagnosis, and treatment, or for training purposes demands highly reliable and high-speed communication systems
The concept of image coding utilizing discrete wavelet transform (DWT) and embedded zerotree wavelet (EZW) has been initially proposed in [1] and various methods have been developed based on this idea [2,3,4,5,6,7,8]
The authors in [16] proposed a joint source-channel coding (JSCC) method for transmission of images over fading channels and demonstrated the application of rate-compatible lowdensity parity-check (RC-LDPC) codes constructed by the progressive edge-growth algorithm, and used the unequal error protection (UEP) to protect the images
Summary
Transmission of medical images aiming at medical consultation, diagnosis, and treatment, or for training purposes demands highly reliable and high-speed communication systems. Several methods have focused on designing adaptive joint source-channel coding (JSCC) schemes and introducing the properties of unequal error protection (UEP) and rate allocation to achieve efficient transmission [9,10,11,12,13,14,15,16,17,18,19,20]. In [9], authors surveyed several algorithms in JSCC system design and fast source-channel bit allocation for various transmission channels They provided a local search strategy to improve the initial low-complexity and rateoptimal scheme to achieve a distortion-optimal solution. The authors in [16] proposed a JSCC method for transmission of images over fading channels and demonstrated the application of rate-compatible lowdensity parity-check (RC-LDPC) codes constructed by the progressive edge-growth algorithm, and used the UEP to protect the images. RS is suitable for burst error detection and correction [23]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
