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.
[1] D. Tzovaras, N. Grammalidis, M.G. Strintzis and S. Malassiotis,
« Coding for the storage and communication of visualisations of 3D
medical data », Signal Processing : Image Communication, Vol. 13, pp.
65-78, 1998.
[2] S.-G. Miaou, S.-T. Chen, "Automatic Quality Control for Wavelet-
Based Compression of Volumetric Medical Images Using Distortion-
Constrained Adaptative Vector Quantization", IEEE Trans. on Medical
Images Using Distortion-Constrained Adaptative Vector Quantization",
Vol. 23, No 11, Nov. 2004.
[3] L.W.C. Chan, M.Z. Zhou, S.K. Hau, M.Y.Y. Law, F.H. Tang and J.
Documet, "International Internet-2 performance and automatic tuning
protocol for medical imaging applications", Computerized Medical
Imaging and Graphics, Vol. 29, pp. 103-114, 2005.
[4] X. Qi and J.M. Tyler, "A progressive transmission capable
diagnostically lossless compression scheme for 3D medical image sets,
Information Sciences, Vol. 175, pp. 217-243, 2005.
[5] B. Ramakrishnan and N. Sriraam, "Internet transmission of DICOM
images with effective low bandwidth utilization", Digital Signal
Processing, Vol. 16, pp. 825-831, 2006.
[6] J. M. Shapiro, "Embedded image coding using zerotrees of wavelet
coefficients," IEEE Trans. Signal Processing, vol. 41, pp. 3445-3462,
1993.
[7] K.R. Namuduri and V.N. Ramaswamy, "Feature preserving image
compression", Patter Recognition Letters, Vol. 24, pp. 2767-2776, 2003.
[8] A. Said and W. Pearlman, "A new fast and efficient image codec based
on set partitioning in hierarchical trees," IEEE Trans. Circuits Syst.
Video Technol., vol. 6, pp. 243-250, June 1996.
[9] M. Penedo, W.A. Pearlman, P.G. Tahoces, M. Souto and J.J. Vidal,
"Region-Based Wavelet Coding Methods for Digital Mammography",
IEEE Trans. on Medical Imaging, Vol. 22, No. 10, pp. 1288-1296, Oct.
2003.
[10] W.A. Pearlman, A. Islam, N. Nagaraj and A.Said, "Efficient, lowcomplexity
image coding with a set-partitioning embedded block coder",
IEEE Trans. Circuits and Syst. Video Technol., Vol 14, No 11, pp. 1219
- 1235, Nov. 2004.
[11] D. Taubman, "High performance scalable image compression with
EBCOT", IEEE Trans. on Image Processing, vol. 9, No. 7, pp. 1158-70,
Jun 2000.
[12] C. Christopoulos, A. Skodras andT. Ebrahimi, "The JPEG2000 Still
iimage coding system: An overview", IEEE Trans. on Consumer
Electronics, Vol. 46, No. 4, pp. 1103-1127, Nov. 2000.
[13] N. Thomos, N. V. Boulgouris and M. G. Strintzis, "Optimized
Transmission of JPEG2000 streams over wireless channels", IEEE
Trans. on Image Processing, vol. 15, No1, pp. 54-67, Jan 2006.
[14] K. Krishnan, M.W. Marcellin, A. Bilgin and M.S. Nadar, "Efficient
Transmission of Compressed Data for Remote Volume Visualization",
IEEE Trans. on Medical Imaging, Vol. 25, No. 9, pp. 1189-1199, Sep.
2006
[15] Y. Zhang, B.T. Pham and M. P. Eckstein, "Automated Optimization of
JPEG2000 Encoder Options Based on Model Observer Performance for
Detecting Variable Signals in X-Ray Coronary Angiograms", IEEE
Trans. on Medical Imaging, Vol. 23, No 4, pp. 459-474, April 2004.
[16] P. Schelkens, A. Munteanu, J. Barbarien, G. Mihneai, X. Giro-Nieto and
J. Cornellis, " Wavelet coding of volumetric medical datasets" , IEEE
Trans. on Medical Imaging, vol. 22, No3, pp. 441-458, March 2003.
[17] A. Munteanu, "Wavelet Image Coding and Multiscale Edge Detection
Algorithms and Applications", Ph.D dissertation, Vrije Univ. Brussel,
Brussels, Belgium, 2003.
[18] G. Menegaz and J.-P. Thiran, "Lossy to Lossless Object-Based Coding
of 3-D MRI Data" , IEEE Trans. on Image Processing, vol.11,
Septembre 2002.
[19] G. Menegaz and J.-P. Thiran, "Three-Dimensional Encoding/Two-
Dimensional Decoding of Medical Data", IEEE trans. on Medical
Imaging, vol. 22, no 3, March 2003.
[20] Y.S. Kim and W.A. Pearlman, "Stripe-based SPIHT compression of
volumetric medical images for low memory usage and uniform
reconstruction quality", in Proc ICASSP, vol 4, Jun. 2000, pp. 2031-
2034.
[21] Z. Xiong, X. Wu, S. Cheng and J. Hua, "Lossy-to-Lossless Compression
of Medical volumetric Data Using Three-dimensional Integer Wavelet
Transforms", IEEE Trans. on MedicalImaging, vol.22, No3, pp. 459-
470, March 2003.
[22] M. G. Strintzis, "A review of compression methods for medical images
in PACS", International Journal of Medical Informatics, Vol. 52, No1,
pp. 159-165, Oct. 1998.
[23] P. J. Klutke, P. Mattioli, F. Baruffaldi, A. Toni and K.-H. Englemeier,
"The Telemedicine benchmarkÔÇöa general tool to measure and compare
the performance of video conferencing equipment in the telemedicine
area", Computer Methods and Programs in Biomedicine, Vol. 60, no
2, pp. 133-141, 1999.
[24] C.N. Doukas, I. Maglogiannis and G. Kormentzas, "Medical Image
Compression using wavelet Transform on Mobile Devices with ROI
coding support", 27th Annual International Conference of the
Engineering in Medicine and Biology Society, IEEE-EMBS 2005, pp.
3779-3784.
[25] J.H. Kim and J.K. Lee, " Capture Effects of Wireless CSMA/CA
Protocols in Rayleigh and Shadow Fading Channels", IEEE Trans. on
Vehicular Technology, Vol. 48, No. 4, pp. 1277-1286, July 1999.
[26] D. Wang, Y. Zhou, P. Su and J. Wang, "Robust Progressive Image
Transmission Over Rayleigh Fading Channels", International
Conference on Communication Technology Proceedings, 2003. ICCT
2003, Vol. 2, No. 9-11, pp. 846 - 849, April 2003.
[27] L.C. Ramac, "Performance of the Wavelet Domain Diversity Method for
Image Transmission over Rayleigh Fading Channels", 2000 IEEE
International Conference on Personal Wireless Communications, pp.
543 547, 2000.
[28] A. Naït-Ali and C. Cavaro-Ménard, «Compression des images et des
signaux médicau x », Hermes Science Publications, Fev 2007.
[29] N. Thomos, N.V. Boulgouris and M.G.Strintzis, "Wireless image
transmission using turbo codes and optimal unequal error protection",
Vol. 14, No. 11, 2005. International Conference on Image Processing
ICIP 2003. Proceedings, Vol. 1, No. 14-17, pp. 73-76,2003.
[30] Medical Database for the Evaluation of Image and Signal processing
(MeDEISA), http://www.istia.univangers.
fr/LISA_MeDEISA/IEEE_FRANCE_EMB/
[31] E. Kofidis, N. Kolokotronis, A. Vassilarakou, S. Theodoridis and D.
Cavouras, "Wavelet-based medical image compression", Future
Generation Computer Systems, vol 15, No2, pp. 223-243, March 1999.
[32] M. Barlaud, "Compression et codage des images et des videos", Hermes
2002.
[33] Y. Gaudeau, "Contributions en compression d-images médicales 3D et
d-images naturelles 2D", Ph.D dissertation, Henri poincaré Univ.,
Nancy, France, 2006.
[34] American College of Radiology (ACR), "ACR technical standard for
teleradiology", ACR Practice Guideline, pp. 801-810, Oct. 2005,
www.acr.org.
[35] Erickson B.J, "Irreversible compression of medical images", Journal of
Digital Imaging, vol. 15, no 1, pp. 5-14, March 2002.
[36] A.S. Tolba, "Wavelet Packet Compression of Mediacl Images", Digital
Signal Processing, Vol. 12, pp. 441-470, 2002.
[1] D. Tzovaras, N. Grammalidis, M.G. Strintzis and S. Malassiotis,
« Coding for the storage and communication of visualisations of 3D
medical data », Signal Processing : Image Communication, Vol. 13, pp.
65-78, 1998.
[2] S.-G. Miaou, S.-T. Chen, "Automatic Quality Control for Wavelet-
Based Compression of Volumetric Medical Images Using Distortion-
Constrained Adaptative Vector Quantization", IEEE Trans. on Medical
Images Using Distortion-Constrained Adaptative Vector Quantization",
Vol. 23, No 11, Nov. 2004.
[3] L.W.C. Chan, M.Z. Zhou, S.K. Hau, M.Y.Y. Law, F.H. Tang and J.
Documet, "International Internet-2 performance and automatic tuning
protocol for medical imaging applications", Computerized Medical
Imaging and Graphics, Vol. 29, pp. 103-114, 2005.
[4] X. Qi and J.M. Tyler, "A progressive transmission capable
diagnostically lossless compression scheme for 3D medical image sets,
Information Sciences, Vol. 175, pp. 217-243, 2005.
[5] B. Ramakrishnan and N. Sriraam, "Internet transmission of DICOM
images with effective low bandwidth utilization", Digital Signal
Processing, Vol. 16, pp. 825-831, 2006.
[6] J. M. Shapiro, "Embedded image coding using zerotrees of wavelet
coefficients," IEEE Trans. Signal Processing, vol. 41, pp. 3445-3462,
1993.
[7] K.R. Namuduri and V.N. Ramaswamy, "Feature preserving image
compression", Patter Recognition Letters, Vol. 24, pp. 2767-2776, 2003.
[8] A. Said and W. Pearlman, "A new fast and efficient image codec based
on set partitioning in hierarchical trees," IEEE Trans. Circuits Syst.
Video Technol., vol. 6, pp. 243-250, June 1996.
[9] M. Penedo, W.A. Pearlman, P.G. Tahoces, M. Souto and J.J. Vidal,
"Region-Based Wavelet Coding Methods for Digital Mammography",
IEEE Trans. on Medical Imaging, Vol. 22, No. 10, pp. 1288-1296, Oct.
2003.
[10] W.A. Pearlman, A. Islam, N. Nagaraj and A.Said, "Efficient, lowcomplexity
image coding with a set-partitioning embedded block coder",
IEEE Trans. Circuits and Syst. Video Technol., Vol 14, No 11, pp. 1219
- 1235, Nov. 2004.
[11] D. Taubman, "High performance scalable image compression with
EBCOT", IEEE Trans. on Image Processing, vol. 9, No. 7, pp. 1158-70,
Jun 2000.
[12] C. Christopoulos, A. Skodras andT. Ebrahimi, "The JPEG2000 Still
iimage coding system: An overview", IEEE Trans. on Consumer
Electronics, Vol. 46, No. 4, pp. 1103-1127, Nov. 2000.
[13] N. Thomos, N. V. Boulgouris and M. G. Strintzis, "Optimized
Transmission of JPEG2000 streams over wireless channels", IEEE
Trans. on Image Processing, vol. 15, No1, pp. 54-67, Jan 2006.
[14] K. Krishnan, M.W. Marcellin, A. Bilgin and M.S. Nadar, "Efficient
Transmission of Compressed Data for Remote Volume Visualization",
IEEE Trans. on Medical Imaging, Vol. 25, No. 9, pp. 1189-1199, Sep.
2006
[15] Y. Zhang, B.T. Pham and M. P. Eckstein, "Automated Optimization of
JPEG2000 Encoder Options Based on Model Observer Performance for
Detecting Variable Signals in X-Ray Coronary Angiograms", IEEE
Trans. on Medical Imaging, Vol. 23, No 4, pp. 459-474, April 2004.
[16] P. Schelkens, A. Munteanu, J. Barbarien, G. Mihneai, X. Giro-Nieto and
J. Cornellis, " Wavelet coding of volumetric medical datasets" , IEEE
Trans. on Medical Imaging, vol. 22, No3, pp. 441-458, March 2003.
[17] A. Munteanu, "Wavelet Image Coding and Multiscale Edge Detection
Algorithms and Applications", Ph.D dissertation, Vrije Univ. Brussel,
Brussels, Belgium, 2003.
[18] G. Menegaz and J.-P. Thiran, "Lossy to Lossless Object-Based Coding
of 3-D MRI Data" , IEEE Trans. on Image Processing, vol.11,
Septembre 2002.
[19] G. Menegaz and J.-P. Thiran, "Three-Dimensional Encoding/Two-
Dimensional Decoding of Medical Data", IEEE trans. on Medical
Imaging, vol. 22, no 3, March 2003.
[20] Y.S. Kim and W.A. Pearlman, "Stripe-based SPIHT compression of
volumetric medical images for low memory usage and uniform
reconstruction quality", in Proc ICASSP, vol 4, Jun. 2000, pp. 2031-
2034.
[21] Z. Xiong, X. Wu, S. Cheng and J. Hua, "Lossy-to-Lossless Compression
of Medical volumetric Data Using Three-dimensional Integer Wavelet
Transforms", IEEE Trans. on MedicalImaging, vol.22, No3, pp. 459-
470, March 2003.
[22] M. G. Strintzis, "A review of compression methods for medical images
in PACS", International Journal of Medical Informatics, Vol. 52, No1,
pp. 159-165, Oct. 1998.
[23] P. J. Klutke, P. Mattioli, F. Baruffaldi, A. Toni and K.-H. Englemeier,
"The Telemedicine benchmarkÔÇöa general tool to measure and compare
the performance of video conferencing equipment in the telemedicine
area", Computer Methods and Programs in Biomedicine, Vol. 60, no
2, pp. 133-141, 1999.
[24] C.N. Doukas, I. Maglogiannis and G. Kormentzas, "Medical Image
Compression using wavelet Transform on Mobile Devices with ROI
coding support", 27th Annual International Conference of the
Engineering in Medicine and Biology Society, IEEE-EMBS 2005, pp.
3779-3784.
[25] J.H. Kim and J.K. Lee, " Capture Effects of Wireless CSMA/CA
Protocols in Rayleigh and Shadow Fading Channels", IEEE Trans. on
Vehicular Technology, Vol. 48, No. 4, pp. 1277-1286, July 1999.
[26] D. Wang, Y. Zhou, P. Su and J. Wang, "Robust Progressive Image
Transmission Over Rayleigh Fading Channels", International
Conference on Communication Technology Proceedings, 2003. ICCT
2003, Vol. 2, No. 9-11, pp. 846 - 849, April 2003.
[27] L.C. Ramac, "Performance of the Wavelet Domain Diversity Method for
Image Transmission over Rayleigh Fading Channels", 2000 IEEE
International Conference on Personal Wireless Communications, pp.
543 547, 2000.
[28] A. Naït-Ali and C. Cavaro-Ménard, «Compression des images et des
signaux médicau x », Hermes Science Publications, Fev 2007.
[29] N. Thomos, N.V. Boulgouris and M.G.Strintzis, "Wireless image
transmission using turbo codes and optimal unequal error protection",
Vol. 14, No. 11, 2005. International Conference on Image Processing
ICIP 2003. Proceedings, Vol. 1, No. 14-17, pp. 73-76,2003.
[30] Medical Database for the Evaluation of Image and Signal processing
(MeDEISA), http://www.istia.univangers.
fr/LISA_MeDEISA/IEEE_FRANCE_EMB/
[31] E. Kofidis, N. Kolokotronis, A. Vassilarakou, S. Theodoridis and D.
Cavouras, "Wavelet-based medical image compression", Future
Generation Computer Systems, vol 15, No2, pp. 223-243, March 1999.
[32] M. Barlaud, "Compression et codage des images et des videos", Hermes
2002.
[33] Y. Gaudeau, "Contributions en compression d-images médicales 3D et
d-images naturelles 2D", Ph.D dissertation, Henri poincaré Univ.,
Nancy, France, 2006.
[34] American College of Radiology (ACR), "ACR technical standard for
teleradiology", ACR Practice Guideline, pp. 801-810, Oct. 2005,
www.acr.org.
[35] Erickson B.J, "Irreversible compression of medical images", Journal of
Digital Imaging, vol. 15, no 1, pp. 5-14, March 2002.
[36] A.S. Tolba, "Wavelet Packet Compression of Mediacl Images", Digital
Signal Processing, Vol. 12, pp. 441-470, 2002.
@article{"International Journal of Medical, Medicine and Health Sciences:51396", author = "D. Dhouib and A. Naït-Ali and C. Olivier and M. S. Naceur", title = "Performance Evaluation of Wavelet Based Coders on Brain MRI Volumetric Medical Datasets for Storage and Wireless Transmission", abstract = "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 basedcoder, wireless transmission.", volume = "1", number = "5", pages = "222-10", }
