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ROI-BASED 3D HUMAN BRAIN MAGNETIC RESONANCE IMAGES COMPRESSION USING ADAPTIVE MESH DESIGN AND REGION-BASED DISCRETE WAVELET TRANSFORM

School of Electrical Engineering, Sharif University of Technology, Azadi Ave., Tehran, Iran

and

Biomedical Engineering, Biological Signal and Image Processing Lab (BiSIPL), School of Electrical Engineering, Sharif University of Technology, Azadi Ave., Tehran, Iran

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https://doi.org/10.1142/S0219691310003559Cited by:3 (Source: Crossref)

Abstract

Due to the large volume required for medical images for transmission and archiving purposes, the compression of medical images is known as one of the main concepts of medical image processing. Lossless compression methods have the drawback of a low compression ratio. In contrast, lossy methods have a higher compression ratio and suffer from lower quality of the reconstructed images in the receiver. Recently, some selective compression methods have been proposed in which the main image is divided into two separate regions: Region of Interest (ROI), which should be compressed in a lossless manner, and Region of Background (ROB), which is compressed in a lossy manner with a lower quality. In this research, we introduce a new selective compression method to compress 3D brain MR images. To this aim, we design an adaptive mesh on the first slice and estimate the gray levels of the next slices by computing the mesh element's deformations. After computing the residual image, which is the difference between the main image and the estimated one, we transform it to the wavelet domain using a region-based discrete wavelet transform (RBDWT). Finally, the wavelet coefficients are coded by an object-based SPIHT coder.

Keywords:

AMSC: 65T60, 94A08, 92C55

References

T. Acharya and P. S. Tsai , JPEG2000 Standard for Image Compression: Concepts, Algorithms and VLSI Architectures ( Wiley , 2005 ) . Crossref, Google Scholar
D. Agraftotis, D. R. Bull and N. Canagarajah, Region of interest coding of volumetric medical images, Proc. IEEE Int. Conf. Image Process. (ICIP2003)3 (2003) pp. 217–220. Google Scholar
H. F. Ates and M. T. Orchard, IEEE Trans. Image Process. 18(5), 1015 (2009), DOI: 10.1109/TIP.2009.2014502. Crossref, Web of Science, Google Scholar
I. Baezaet al., Math. Comput. Model. 50(6), 849 (2009), DOI: 10.1016/j.mcm.2009.05.014. Crossref, Web of Science, Google Scholar
I. Balasingham and T. A. Ramstad, EURASIP J. Image Video Process. 2008, 7 (2008). Google Scholar
H. J. Barnard, Image and video coding using a wavelet decomposition, Ph.D. thesis, Delft University of Technology, Delft, The Netherlands (1996) . Google Scholar
G. Bernab, J. M. Garcia and J. Gonzalez, J. Syst. Softw. 82(3), 526 (2009). Crossref, Web of Science, Google Scholar
T. Brahimi, A. Melit and F. Khelifi, Digital Signal Process. 19(2), 220 (2009), DOI: 10.1016/j.dsp.2008.07.012. Crossref, Web of Science, Google Scholar
A. Bruckmann and A. Uhl, Comput. Biol. Med. 30(3), 153 (2000), DOI: 10.1016/S0010-4825(00)00004-4. Crossref, Web of Science, Google Scholar
D. M. Chandler and S. S. Hemami, IEEE Trans. Image Process. 14(4), 397 (2005), DOI: 10.1109/TIP.2004.841196. Crossref, Web of Science, Google Scholar
Y.-Y. Chen, Int. J. Med. Informatics 76(10), 717 (2007), DOI: 10.1016/j.ijmedinf.2006.07.002. Crossref, Web of Science, Google Scholar
D. Chen and T. Zhang, Signal Process. 88(11), 2833 (2008), DOI: 10.1016/j.sigpro.2008.06.009. Crossref, Web of Science, Google Scholar
Y. T. Chen and D. C. Tseng, Comput. Med. Imag. Graph 31(1), 1 (2007), DOI: 10.1016/j.compmedimag.2006.08.003. Crossref, Web of Science, Google Scholar
Z. D. Chen, R. F. Chang and W. J. Kuo, IEEE Trans. Med. Imag. 18(2), 181 (1999). Crossref, Web of Science, Google Scholar
E. Christophe, C. Mailhes and P. Duhamel, IEEE Trans. Image Process. 17(12), 2334 (2008), DOI: 10.1109/TIP.2008.2005824. Crossref, Web of Science, Google Scholar
M. Das and S. Burgen, IEEE Trans. Med. Imag. 12(4), 721 (1993), DOI: 10.1109/42.251123. Crossref, Web of Science, Google Scholar
X. Delaunayet al., Signal Process. 90(2), 599 (2010), DOI: 10.1016/j.sigpro.2009.07.024. Crossref, Web of Science, Google Scholar
R. A. DeVore, B. Jawerth and B. J. Lucier, IEEE Trans. Inf. Theory 38(2), 719 (1992), DOI: 10.1109/18.119733. Crossref, Web of Science, Google Scholar
C. Doukas and I. Maglogiannis, IEEE Eng. Med. Biol. Mag. 26(5), 29 (2007), DOI: 10.1109/EMB.2007.901793. Crossref, Web of Science, Google Scholar
D. Gibson, M. Spann and S. I. Woolley, IEEE Trans. Inf. Technol. Biomed. 8(2), 103 (2004), DOI: 10.1109/TITB.2004.826722. Crossref, Web of Science, Google Scholar
H. J. A. M. Heijmans, G. Piella and B. P. Popescu, Int. J. Wavelets Multiresolut. Inf. Process. 4(1), 41 (2006), DOI: 10.1142/S0219691306001087. Link, Web of Science, Google Scholar
J. Huaet al., IEEE Trans. Biomed. Eng. 52(5), 890 (2005), DOI: 10.1109/TBME.2005.844269. Crossref, Web of Science, Google Scholar
S. Ince and J. Konrad, IEEE Trans. Image Process. 17(8), 1443 (2008), DOI: 10.1109/TIP.2008.925381. Crossref, Web of Science, Google Scholar
B. Karlik, Neural Netw. World. 16(4), 341 (2006). Web of Science, Google Scholar
S. K. Kilet al., Int. J. of Comput. Sci. Network Secur. 6(1A), 50 (2006). Google Scholar
W. Kim and Ch.-Ch. Li, Int. J. Wavelets Multiresolut. Inf. Process. 1(1), 51 (2003), DOI: 10.1142/S0219691303000049. Link, Web of Science, Google Scholar
A. Kingston and F. Autrusseau, Signal Process. Image Commun. 23(4), 313 (2008), DOI: 10.1016/j.image.2008.03.001. Crossref, Web of Science, Google Scholar
R. Krishnamoorthi and K. Seetharaman, Signal Process. 87(3), 408 (2007), DOI: 10.1016/j.sigpro.2006.05.008. Crossref, Web of Science, Google Scholar
Ch. Lin, Y. Zhao and C. Zhu, Int. J. Wavelets Multiresolut. Inf. Process. 7(5), 665 (2009), DOI: 10.1142/S0219691309003185. Link, Web of Science, Google Scholar
J. Lin and M. J. T. Smith, IEEE Trans. Image Process. 17(2), 177 (2008). Web of Science, Google Scholar
H. Liu and S. Ma, J. Comput. Appl. Math. 219(1), 302 (2008), DOI: 10.1016/j.cam.2007.07.027. Crossref, Web of Science, Google Scholar
H. Mahmoudet al., J. VLSI Sig. Process. Syst. 42(1), 21 (2006), DOI: 10.1007/s11265-005-4160-2. Crossref, Web of Science, Google Scholar
N. M. Nasrabadi and R. A. King, IEEE Trans. Commun. 36(8), 957 (1988), DOI: 10.1109/26.3776. Crossref, Web of Science, Google Scholar
Z. Pan, K. Kotani and T. Ohmi, Pattern Recogn. Lett. 26(11), 1684 (2008), DOI: 10.1016/j.patrec.2005.01.011. Crossref, Web of Science, Google Scholar
K. Park and H. W. Park, IEEE Trans. Circuits Syst. Video Technol. 12(2), 106 (2002). Crossref, Web of Science, Google Scholar
M. Penedoet al., IEEE Trans. Med. Imag. 22(10), 1288 (2003), DOI: 10.1109/TMI.2003.817812. Crossref, Web of Science, Google Scholar
W. A. Pearlmanet al., IEEE Trans. Circuits Syst. Video Technol. 14(11), 1219 (2004), DOI: 10.1109/TCSVT.2004.835150. Crossref, Web of Science, Google Scholar
G. Rath, Y. Wenxian and C. Guillemot, IEEE Trans. Image Process. 17(9), 1587 (2008), DOI: 10.1109/TIP.2008.2001045. Crossref, Web of Science, Google Scholar
P. Rooset al., IEEE Trans. Med. Imag. 7(4), 328 (1988), DOI: 10.1109/42.14516. Crossref, Web of Science, Google Scholar
A. Said and W. A. Pearlman, IEEE Trans. Circuits Syst. Video Technol. 6(3), 243 (1996), DOI: 10.1109/76.499834. Crossref, Web of Science, Google Scholar
J. M. Shapiro, IEEE Trans. Signal Process. 41(12), 3445 (1993), DOI: 10.1109/78.258085. Crossref, Web of Science, Google Scholar
P. Schelkenset al., IEEE Trans. Med. Imag. 22(3), 441 (2003), DOI: 10.1109/TMI.2003.809582. Crossref, Web of Science, Google Scholar
T. Sigitani, Y. Iiguni and H. Maeda, Med. Biol. Eng. Comput. 38(2), 140 (2000), DOI: 10.1007/BF02344768. Crossref, Web of Science, Google Scholar
S. Singh, V. Kumar and H. K. Verma, J. Med. Eng. Technol. 31(2), 109 (2007), DOI: 10.1080/03091900500412650. Crossref, Google Scholar
R. Srikanth and A. G. Ramakrishnan, IEEE Trans. Med. Imag. 24(9), 1199 (2005), DOI: 10.1109/TMI.2005.853638. Crossref, Web of Science, Google Scholar
J. Strom and P. C. Cosman, Signal Process. 59(2), 155 (1997), DOI: 10.1016/S0165-1684(97)00044-3. Crossref, Web of Science, Google Scholar
P. G. Tahoceset al., Comput. Vision Image Understanding 109(2), 139 (2008), DOI: 10.1016/j.cviu.2007.07.001. Crossref, Web of Science, Google Scholar
G. E. Tsekouraset al., Inf. Sci. 178(20), 3895 (2008), DOI: 10.1016/j.ins.2008.05.017. Crossref, Web of Science, Google Scholar
Ch.-Y. Wang, Zh.-X. Hou and A.-P. Yang, Int. J. Wavelets Multiresolut. Inf. Process. 6(5), 761 (2008), DOI: 10.1142/S0219691308002641. Link, Web of Science, Google Scholar
S. Wonget al., Proc. IEEE 83(2), 194 (1995), DOI: 10.1109/5.364466. Crossref, Web of Science, Google Scholar
J. W. Woods and S. D. O'Neil, IEEE Trans. Acoust. Speech Signal Process. 34(5), 1278 (1986), DOI: 10.1109/TASSP.1986.1164962. Crossref, Google Scholar
Y. G. Wu, IEEE Trans. Inf. Technol. Biomed. 6(1), 86 (2002). Web of Science, Google Scholar
Z. Xionget al., IEEE Trans. Med. Imag. 22(3), 459 (2003). Crossref, Web of Science, Google Scholar
C. Xu and J. L. Prince, IEEE Trans. Image Process. 7(3), 359 (1998). Web of Science, Google Scholar
X. Yang, H. Ren and Bo Li, Image Vision Comput. 26(6), 812 (2008), DOI: 10.1016/j.imavis.2007.08.019. Crossref, Web of Science, Google Scholar
M. Zamarinet al., J. Visual Commun. Image Represent (2009). Google Scholar
L. Zhaoet al., Front. Electr. Electron. Eng. Chin. 4(1), 1 (2009), DOI: 10.1007/s11460-009-0014-1. Crossref, Web of Science, Google Scholar
V. A. Zheludev, D. D. Kosloff and E. Y. Ragoza, Int. J. Wavelets Multiresolut. Inf. Process. 2(3), 269 (2004), DOI: 10.1142/S0219691304000536. Link, Google Scholar
Y. M. Zhou, C. Zhanga and Z.-K. Zhang, Chaos Solitons Fractals 39(4), 167 (2009). Google Scholar
I. Zyout, I. Abdel-Qader and H. Al-Otum, Integr. Comput.-Aided Eng. 15(3), 241 (2008). Crossref, Web of Science, Google Scholar