Performance evaluation of wavelet based coders on brain MRI volumetric medical datasets for storage and wireless transmission

In this paper, we evaluate the performance of some wavelet based coding algorithms such as 3D QT-L, 3D SPIHT and JPEG2K. In the first step we achieve an objective comparison between three coders, namely 3D SPIHT, 3D QT-L and JPEG2K. For this purpose, eight MRI head scan test sets of 256 x 256x124 voxels have been used. Results show superior performance of 3D SPIHT algorithm, whereas 3D QT-L outperforms JPEG2K. The second step consists of evaluating the robustness of 3D SPIHT and JPEG2K coding algorithm over wireless transmission. Compressed dataset images are then transmitted over AWGN wireless channel or over Rayleigh wireless channel. Results show the superiority of JPEG2K over these two models. In fact, it has been deduced that JPEG2K is more robust regarding coding errors. Thus we may conclude the necessity of using corrector codes in order to protect the transmitted medical information. Keywords—Image coding, medical imaging, wavelet based coder, wireless transmission.

[1]  P. K. Varshney,et al.  Performance of the wavelet domain diversity method for image transmission over Rayleigh fading channels , 2000, 2000 IEEE International Conference on Personal Wireless Communications. Conference Proceedings (Cat. No.00TH8488).

[2]  I. Maglogiannis,et al.  Medical Image Compression using Wavelet Transform on Mobile Devices with ROI coding support , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[3]  William A. Pearlman,et al.  Stripe-based SPHIT lossy compression of volumetric medical images for low memory usage and uniform reconstruction quality , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[4]  David S. Taubman,et al.  High performance scalable image compression with EBCOT , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[5]  N. Thomos,et al.  Wireless image transmission using turbo codes and optimal unequal error protection , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[6]  Jean-Philippe Thiran,et al.  Lossy to lossless object-based coding of 3-D MRI data , 2002, IEEE Trans. Image Process..

[7]  Michael G. Strintzis,et al.  Wireless image transmission using turbo codes and optimal unequal error protection , 2005, IEEE Transactions on Image Processing.

[8]  William A. Pearlman,et al.  Efficient, low-complexity image coding with a set-partitioning embedded block coder , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[9]  Michael G. Strintzis,et al.  A review of compression methods for medical images in PACS , 1998, Int. J. Medical Informatics.

[10]  William A. Pearlman,et al.  Region-based wavelet coding methods for digital mammography , 2003, IEEE Transactions on Medical Imaging.

[11]  Shaou-Gang Miaou,et al.  Automatic quality control for wavelet-based compression of volumetric medical images using distortion-constrained adaptive vector quantization , 2004, IEEE Trans. Medical Imaging.

[12]  P Mattioli,et al.  The Telemedicine benchmark--a general tool to measure and compare the performance of video conferencing equipment in the telemedicine area. , 1999, Computer methods and programs in biomedicine.

[13]  John M. Tyler,et al.  A progressive transmission capable diagnostically lossless compression scheme for 3D medical image sets , 2005, Inf. Sci..

[14]  Michael W. Marcellin,et al.  Efficient transmission of compressed data for remote volume visualization , 2006, IEEE Transactions on Medical Imaging.

[15]  Yann Gaudeau.  Contributions en compression d'images médicales 3D et d'images naturelles 2D. (Contributions in 3D medical imaging and 2D image compression) , 2006 .

[16]  William A. Pearlman,et al.  A new, fast, and efficient image codec based on set partitioning in hierarchical trees , 1996, IEEE Trans. Circuits Syst. Video Technol..

[17]  Zixiang Xiong,et al.  Lossy-to-lossless compression of medical volumetric data using three-dimensional integer wavelet transforms , 2003, IEEE Transactions on Medical Imaging.

[18]  Natarajan Sriraam,et al.  Internet transmission of DICOM images with effective low bandwidth utilization , 2006, Digit. Signal Process..

[19]  Jerome M. Shapiro,et al.  Embedded image coding using zerotrees of wavelet coefficients , 1993, IEEE Trans. Signal Process..

[20]  Jae-Hyun Kim,et al.  Capture effects of wireless CSMA/CA protocols in Rayleigh and shadow fading channels , 1999 .

[21]  Kamesh Namuduri,et al.  Feature preserving image compression , 2003, Pattern Recognit. Lett..

[22]  J. Cornelis,et al.  Wavelet coding of volumetric medical datasets , 2003, Proceedings. International Conference on Image Processing.

[23]  Miguel P. Eckstein,et al.  Evaluation of JPEG 2000 encoder options: human and model observer detection of variable signals in X-ray coronary angiograms , 2004, IEEE Transactions on Medical Imaging.

[24]  A. S. Tolba.  Wavelet Packet Compression of Medical Images , 2002, Digit. Signal Process..

[25]  Bradley James Erickson,et al.  Irreversible Compression of Medical Images , 2002, Journal of Digital Imaging.

[26]  Nikolaos Grammalidis,et al.  Coding for the storage and communication of visualisations of 3D medical data , 1998, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[27]  Philippe Laleye,et al.  International Journal of Biological and Chemical Sciences , 2008 .

[28]  Lawrence W C Chan,et al.  International Internet-2 performance and automatic tuning protocol for medical imaging applications. , 2005, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[29]  William A. Pearlman,et al.  Stripe-based SPIHT lossy compression of volumetric medical images for low memory usage and uniform reconstruction quality , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[30]  Sergios Theodoridis,et al.  Wavelet-based medical image compression , 1999, Future Gener. Comput. Syst..

[31]  Touradj Ebrahimi,et al.  Christopoulos: Thc Jpeg2000 Still Image Coding System: an Overview the Jpeg2000 Still Image Coding System: an Overview , 2022 .

[32]  Michael G. Strintzis,et al.  Optimized transmission of JPEG2000 streams over wireless channels , 2006, IEEE Transactions on Image Processing.

[33]  Donghua Wang,et al.  Robust progressive image transmission over rayleigh fading channels , 2003, International Conference on Communication Technology Proceedings, 2003. ICCT 2003..

[34]  G. Menegaz,et al.  Three-dimensional encoding/two-dimensional decoding of medical data , 2003, IEEE Transactions on Medical Imaging.