[1] Ali T J and Akhtar P 2008 Significance of region of interest applied on MRI and CT images in teleradiology telemedicine. Heidelberg: Springer-Verlag Berlin, 151– 159.

[2] Baeza I and Verdoy A 2009 ROI-based Procedures for progressive transmission of digital images: A comparison. Elsevier J. Math. Comput. Model 50: 849– 859.

[3] Bairagi V K and Sapkal A M 2009 Selection of Wavelets for Medical Image Compression. IEEE Int Conf ACT 2009, Trivendrum, India, 678–680.

[4] Bhaskaranarayana A, Satyamurthy L S, Murthy L N R, Sethuraman K and Rayappa H 2009 Bridging health divide between rural and urban areas – Satellite based telemedicine networks in India. Space Technologies for the Benefit of Human Society and Earth Part II, P. Olla (ed), Netherlands: Springer Book Series, 160–178.

[5] Black P E 2008 big-O notation, Dictionary of algorithms and data structures, P E Black (ed),U.S. National Institute of Standards and Technology.

[6] Calderbank A R, Daubechies I, Sweldens W and Yeo B L (1998) Wavelet transforms that map integers to integers. Appl. Comput. Harmon. Anal. 5: 332–369.

[7] Doukas C and Maglogiannis I 2007 Region of Interest Coding Techniques for Medical Image Compression. IEEE Eng. Med. Biol. Mag. 26(5): 29– 35.

[8] ITU Telecom, Standardization Sector of ITU 1998 Video Coding for Low Bitrate Communication. Draft ITU-T Recommendation H.263 ver 2.

[9] Lehtinen J 1999 Limiting distortion of a wavelet image codec. J. Acta Cyberntica. 14: 341–356

[10] Maglogiannis I and Kormentzas G 2009 Waveletbased compression with ROI coding support for mobile access to DICOM images over heterogeneous radio networks. Trans. Inform. Technol. Biomed. 13(4): 458– 466.

[11] Miaou S G, Ke F S and Chen S C 2009 A lossless compression method for medical image sequences using JPEG-LS and interframe coding. IEEE Trans. Inform. Technol. Biomed. 13(5): 818–821.

[12] Park K H and Park H W 2002 Region-of-interest coding based on set partitioning in hierarchical trees. IEEE Trans. Circuits Syst. Video Technol. 12(2): 106– 113.

[13] Placidi G 2009 Adaptive compression algorithm from projections: Application on medical grayscale images. J. Comput. Biol. Med. 39: 993–999.

[14] Reichel J, Menegaz G, Nadenau M J and Kunt M 2001 Integer Wavelet Transform for Embedded Lossy to Lossless Image Compression. IEEE Trans. Image Process 10930: 383–392Said A and Pearlman W A 1996.

[15] A new, fast and efficient image codec based on set partitioning in hierarchical trees. IEEE Trans. Circuits Syst. Video Technol. 6: 243–250.

[16] Sanchez V, Abugharbieh R and Nasiopoulos P 2009 Symmetry-Based Scalable Lossless Compression of 3D Medical Image Data. IEEE Trans. Med. Imaging 28(7): 1062–1071.