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An adaptive source-channel coding with feedback for progressive transmission of medical images.

Lo JL, Sanei S, Nazarpour K - Int J Telemed Appl (2009)

Bottom Line: 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.The proposed system is simulated for both binary symmetric channel (BSC) and Rayleigh channel.The experimental results verify the effectiveness of the design.

View Article: PubMed Central - PubMed

Affiliation: Centre of Digital Signal Processing, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK.

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.

No MeSH data available.


Related in: MedlinePlus

The transmitter including the proposed channel coding block diagram.
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fig3: The transmitter including the proposed channel coding block diagram.

Mentions: Figure 3 illustrates the channel coding strategy and Figure 4 shows the receiver. The overall channel code lengthremains fixed and the length of message k, qk; k = 1, 2,…, n, and the parity length C are variable. For RScodes, (255 − qn)/2 indicates the error-correction capability of RS coder. Here, the RS codes, RS(255, q),have 255 symbols in length. According to the UEP, the ratio of parity tooverall code length for the n regionsshould follow (6)CRoI>CR1>CR2⋯>CRn−1, where CRoI, the length of parity code, is for the RoI and so on. Furthermore, the lengthof parity code is also affectedby the noise in the channel, that is, Cregion~(r, N), where r is the distance from the center of RoI, and N expressesthe noise in the practical transmission channel.


An adaptive source-channel coding with feedback for progressive transmission of medical images.

Lo JL, Sanei S, Nazarpour K - Int J Telemed Appl (2009)

The transmitter including the proposed channel coding block diagram.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC2630534&req=5

fig3: The transmitter including the proposed channel coding block diagram.
Mentions: Figure 3 illustrates the channel coding strategy and Figure 4 shows the receiver. The overall channel code lengthremains fixed and the length of message k, qk; k = 1, 2,…, n, and the parity length C are variable. For RScodes, (255 − qn)/2 indicates the error-correction capability of RS coder. Here, the RS codes, RS(255, q),have 255 symbols in length. According to the UEP, the ratio of parity tooverall code length for the n regionsshould follow (6)CRoI>CR1>CR2⋯>CRn−1, where CRoI, the length of parity code, is for the RoI and so on. Furthermore, the lengthof parity code is also affectedby the noise in the channel, that is, Cregion~(r, N), where r is the distance from the center of RoI, and N expressesthe noise in the practical transmission channel.

Bottom Line: 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.The proposed system is simulated for both binary symmetric channel (BSC) and Rayleigh channel.The experimental results verify the effectiveness of the design.

View Article: PubMed Central - PubMed

Affiliation: Centre of Digital Signal Processing, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK.

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.

No MeSH data available.


Related in: MedlinePlus