Compression Techniques for Medical Images Transmission over Multi Core Optical Fiber Using CDMA

In this work, an approach that incorporates the compression of images to transmit high resolution medical images is presented. It is based on a double blind CDMA technology. The proposed approach assumes that several users (medical practitioners, doctors) are transmitting images from one location to another simultaneously. The images are encoded using two-steps procedure: 1) coding the pixels (users) using spatial Optical Orthogonal Signature Patterns (OOSPs) and 2) coding the bits using time orthogonal basis functions. The encoding procedure follows the compression of images to reduce the occurrence of ghost pulses and to increase the transmission rate. Then, the encoded images are combined using a multiplexer and the results are transmitted over multi-core optical fiber. The aim of this approach is to achieve a fast transmission (parallel transmission). At the receiver end, the information is collected and is de-multiplexed to identify the user and to reconstruct the original images i.e. is decoded using the same double blind Orthogonal Signatures and compression techniques that are implemented for encoding purposes. The performance is quantitatively evaluated using Monte-Carlo simulation techniques by studying different criteria: Bit Error Rate, Root Mean Square Error and Pixel Error Rate.

[1]  Hamid Aghvami,et al.  Progressive medical image transmission and compression , 2004, IEEE Signal Processing Letters.

[2]  C.-C. Chang,et al.  Code-division multiple-access encoding and decoding of femtosecond optical pulses over a 2.5-km fiber link , 1998, IEEE Photonics Technology Letters.

[3]  Wing C. Kwong,et al.  2n Prime-sequence Codes and Coding Architecture for Optical Code-division Multiple-access , 1996, IEEE Trans. Commun..

[4]  M. N. Shanmukha Swamy,et al.  Robust Transmission of Watermarked Medical Images over Wireless Channels , 2012, 2012 IEEE Global Humanitarian Technology Conference.

[5]  K. Deergha Rao,et al.  Modified Chaotic Key-Based Algorithm for Image Encryption and its VLSI Realization , 2007, 2007 15th International Conference on Digital Signal Processing.

[6]  Po-Rong Chang,et al.  Fiber-Optic Subcarrier Multiplexed CDMA Local-Area Networks for Subband Image Transmission , 1996, IEEE J. Sel. Areas Commun..

[7]  Yunping Zheng,et al.  An Improved Gray Image Representation Method Based on Binary-Bit Plane Decomposition , 2008, 2008 Fourth International Conference on Natural Computation.

[8]  G.G. Langdon,et al.  Data compression , 1988, IEEE Potentials.

[9]  Guu-chang Yang,et al.  Two-dimensional spatial signature patterns , 1996, IEEE Trans. Commun..

[10]  Zhongding Lei,et al.  Two-layer spreading CDMA: an improved method for broadband uplink transmission , 2008, VTC-2005-Fall. 2005 IEEE 62nd Vehicular Technology Conference, 2005..

[11]  K. Kamakura,et al.  An embedded transmission scheme using PPM signaling with symmetric error-correcting codes for optical CDMA , 2003 .

[12]  Manolis Tsiknakis,et al.  Intelligent image management in a distributed PACS and telemedicine environment , 1996, IEEE Commun. Mag..

[13]  Elie Inaty,et al.  Medical Image Transmission over Multi Core Optical Fiber Using Two Stages CDMA Technique , 2011, 2011 5th International Conference on Bioinformatics and Biomedical Engineering.

[14]  Behrang Mehrbany Irany,et al.  A high capacity reversible multiple watermarking scheme for medical images , 2011, 2011 17th International Conference on Digital Signal Processing (DSP).

[15]  Steven W. Smith,et al.  The Scientist and Engineer's Guide to Digital Signal Processing , 1997 .

[16]  Alain Glavieux,et al.  Reflections on the Prize Paper : "Near optimum error-correcting coding and decoding: turbo codes" , 1998 .

[17]  Jawad A. Salehi,et al.  Spread-space holographic CDMA technique: basic analysis and applications , 2002, IEEE Trans. Wirel. Commun..

[18]  N. Rama Murthy,et al.  Cryptographic applications of Brahmagupta-Bha/spl tilde/skara equation , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

[19]  K. Deergha Rao,et al.  A high secure approach for medical images transmission over wireless channels , 2012, 2012 Annual IEEE India Conference (INDICON).

[20]  J. Kohli.  Medical imaging applications of emerging broadband networks , 1989, IEEE Communications Magazine.

[21]  N. Rama Murthy,et al.  Cryptographic applications of Brahmagupta-Bhatskara equation. , 2006 .

[22]  Guoyan Zheng,et al.  Unsupervised Reconstruction of a Patient-Specific Surface Model of a Proximal Femur from Calibrated Fluoroscopic Images , 2007, MICCAI.

[23]  S. Sanei,et al.  Interactive and Adaptive Progressive Transmission of Medical Images , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[24]  Branka Vucetic,et al.  A Frequency Domain Multi-User Detector for TD-CDMA Systems , 2011, IEEE Transactions on Communications.

[25]  V. Sanchez.  Joint Source/Channel Coding for Prioritized Wireless Transmission of Multiple 3-D Regions of Interest in 3-D Medical Imaging Data , 2013, IEEE Transactions on Biomedical Engineering.

[26]  Lisimachos P. Kondi,et al.  Layered video transmission over wireless multirate DS-CDMA links , 2005, IEEE Transactions on Circuits and Systems for Video Technology.

[27]  Yunping Zheng,et al.  A Novel Algorithm for Triangle Non-symmetry and Anti-packing Pattern Representation Model of Gray Images , 2007, ICIC.

[28]  Yunping Zheng,et al.  A Novel Algorithm Using Non-symmetry and Anti-packing Model with K-Lines for Binary Image Representation , 2008, 2008 Congress on Image and Signal Processing.

[29]  Ken-ichi Kitayama,et al.  Novel spatial spread spectrum based fiber optic CDMA networks for image transmission , 1994, IEEE J. Sel. Areas Commun..