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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

As another example, a decoded image with variable length parity, which isa 508 × 512 pixels monochrome X-ray bone image: (a) a background image and the location of RoI selected in the center of image reconstructed after stage P1; many subblocks are in error inthe background image, (b) the reconstructed image after stage P2, no error subblock is found in the reconstructed image. (c) The reconstructed image after stage P3, and (d) the complete transmitted image having no error subblocks.
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fig14: As another example, a decoded image with variable length parity, which isa 508 × 512 pixels monochrome X-ray bone image: (a) a background image and the location of RoI selected in the center of image reconstructed after stage P1; many subblocks are in error inthe background image, (b) the reconstructed image after stage P2, no error subblock is found in the reconstructed image. (c) The reconstructed image after stage P3, and (d) the complete transmitted image having no error subblocks.

Mentions: Figure 8 shows the PSNRs for successive transmission of four stages under various noise-level conditions. Figure 9(a) shows the background image sent during P1 stage. Figure 9(b) is progressively reconstructed image after stage P2 in which the RoI, R1, and R2 are reconstructed. At this stage, the center of RoI isdenoted by the user via mouse click. Figure 9(c) represents thereconstructed image at stage P3 during which the regions RoI, R1, and R2 arereconstructed. The regions of RoI and R1 aregradually increased in resolution. Figure 9(d) is the final andcomplete image after stage P4. The same procedure can be followed for encodingand transmission of any othermedical image. However, the coordinates of the center of RoI as well as the size of RoI maybe adjusted according to the requirement by the user. Forexample, in Figure 10, the RoI isselected in the corner. Figure11 demonstrates that a fixed-size parity code is not suitable for an efficienttransmission system. However, the system has been modified based on theproposed method in Sections 2 and 4 to allow variable lengths of parity. Figures12 and 13 show no error in the RoI statingthat the overall system has been remarkably improved. In Figure 14, anotherexample of a decoded image (a508 × 512 monochrome X-ray bone image) is given, andthe variable length parity has been examined. The background image suffers from heavy noise. However, the transmissioncan continue until the last stage during which a complete error-free image isreconstructed.


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

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

As another example, a decoded image with variable length parity, which isa 508 × 512 pixels monochrome X-ray bone image: (a) a background image and the location of RoI selected in the center of image reconstructed after stage P1; many subblocks are in error inthe background image, (b) the reconstructed image after stage P2, no error subblock is found in the reconstructed image. (c) The reconstructed image after stage P3, and (d) the complete transmitted image having no error subblocks.
© Copyright Policy - open-access
Related In: Results  -  Collection

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fig14: As another example, a decoded image with variable length parity, which isa 508 × 512 pixels monochrome X-ray bone image: (a) a background image and the location of RoI selected in the center of image reconstructed after stage P1; many subblocks are in error inthe background image, (b) the reconstructed image after stage P2, no error subblock is found in the reconstructed image. (c) The reconstructed image after stage P3, and (d) the complete transmitted image having no error subblocks.
Mentions: Figure 8 shows the PSNRs for successive transmission of four stages under various noise-level conditions. Figure 9(a) shows the background image sent during P1 stage. Figure 9(b) is progressively reconstructed image after stage P2 in which the RoI, R1, and R2 are reconstructed. At this stage, the center of RoI isdenoted by the user via mouse click. Figure 9(c) represents thereconstructed image at stage P3 during which the regions RoI, R1, and R2 arereconstructed. The regions of RoI and R1 aregradually increased in resolution. Figure 9(d) is the final andcomplete image after stage P4. The same procedure can be followed for encodingand transmission of any othermedical image. However, the coordinates of the center of RoI as well as the size of RoI maybe adjusted according to the requirement by the user. Forexample, in Figure 10, the RoI isselected in the corner. Figure11 demonstrates that a fixed-size parity code is not suitable for an efficienttransmission system. However, the system has been modified based on theproposed method in Sections 2 and 4 to allow variable lengths of parity. Figures12 and 13 show no error in the RoI statingthat the overall system has been remarkably improved. In Figure 14, anotherexample of a decoded image (a508 × 512 monochrome X-ray bone image) is given, andthe variable length parity has been examined. The background image suffers from heavy noise. However, the transmissioncan continue until the last stage during which a complete error-free image isreconstructed.

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