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Lossless Compression of 3D Medical Images Using its Symmetry

Mayuri Y. Thorat, V.K. Bairagi

Abstract


Now days 3D medical images like MRI, CT are integral part of standard health care. These images are rich in volume and provide important diagnostic information, so there should be some proper method to compress these images. The method proposed in this paper is symmetry based technique for lossless compression of 3D medical image data. The proposed method uses 2D integer wavelet transform to decorrelate the data and block based intra-band prediction which uses anatomic symmetries present in structures of medical images to reduce energy of sub-bands. This method exploits the global and local symmetries of the wavelet transform sub-bands based on the main axis of symmetry. It uses Embedded Block Coder with Optimized Truncation (EBCOT), which encodes the residual data generated after prediction to provide resolution and quality scalability. The technique can be compared with other compression techniques like 3D JPEG2000, JPEG2000, and H.264/AVC and it gives an average improvement in compression ratios.

Keywords


Symmetry; 3d Medical Image Compression; Integer Wavelet Transform; Lossless Compression.

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References


V. Sanchez, R. Abugharbieh,and P. Nasiopoulos, “Symmetry based scalable lossless compression of 3D medical image data”, IEEE transaction of medical imaging, vol. 28 no.7, pp 1062-1072, jully 2009.

Prof. S.K. Mishra, Sh. DeepakGupta, Dr Jagdish Kaur, “Telemedicine in India : Initiatives and vision” IEEE transaction of image compression,vol 4, pp 1-3, 2007.

V Naga Pruthvi Raj and Dr T Venkateswarlu “A Novel Approch To Medical Image compression using sequential 3D DCT”, IEEE transaction of image compression, vol 11, pp 146-149

Amrita Pal, Victor W.A, A. Mbarika, Fay Cobb-Payton, Pratim Datta and ScottMcCoy, “Telemedicine Diffusion in a Developing Country: The Case of India” IEEE Transactions of Information Technology in Biomedicine, Vol.9, No.1, March 2005.

K. K. M. Marcellin, A. Bilgin, and M. Nadar, “Efficient transmission of compressed data for remote volume visualization,” IEEE Transaction of medical imaging, vol.25, No. 9, pp 1189-1199, sep. 2006

X. Wu and T. Qiu, “Wavelet coding of volumetric medical images for high throughput and operability,” IEEE Transaction of medical imaging, vol. 24, no.6, pp. 719–727, Jun. 2005.

P. Schelkens, A. Munteanu, J. Barbarien, M. Galca, X. Giro-Nieto, and J. Cornelis, “Wavelet coding of volumetric medical datasets,” IEEE Trans. Med. Imag., vol. 22, no. 3, pp. 441–458, Mar. 2003.

Z. Xiong, X.Wu, S. Cheng, and J. Hua, “Lossy-to-lossless compression of medical volumetric images using three-dimensional integer wavelet transforms,” IEEE Trans. Med. Imag., vol. 22, no. 3, pp. 459–470, Mar.2003

G. Menegaz and J. P. Thirian, “3D encoding2D decoding of medical data”, IEEE transaction of medical imaging, vol. 22, no. 3, pp 424-440, March 2003

D. Taubman, “High performance scalable image compression with EBCOT,” IEEE Trans. Image Process., vol. 9, no. 7, pp. 1158–1170, Jul. 2000.

S. Dewitte and J. Cornelis, “Lossless integer wavelet transform,” IEEE Signal Process. Lett., vol. 4, no. 6, pp. 158–160, Jun. 1997.

S. Amraee, N. Karimi, S. Samavi, s. Shirani „”Compression of 3D MRI images based on symmetry in prediction error field”, Multimedia and expo 2011 IEEE conference, pp 1-6, Sep 2011.

M. Firoozbakht, J. Dehmeshki, M. Martini, Y. Ebrahimdoost, H. Amin, M. Dehkordi, A. Youannic, SD. Qanadli “Compression of digital medical images based on multiple regions of interest”, IEEE 2010 Fourth International Conference on Digital Society

Dimitriοs A. Karras “Compression of MRI images using the discrete wavelet transform and improved parameter free bayesian restoration techniques”, IST 2009 – International Workshop on Imaging Systems and Techniques Shenzhen, China May 11-12, 2009

N. Sriraam, R. Shyamsunder “3-D medical image compression using 3-D wavelet coders”, Elsevier Inc. Digital signal processing, 30 June 2010.


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