i-manager Publications

Certain Investigations On Teleophthalmology To Develop An Integration System For Diabetic Retinopathy And Age Related Macular Disease

E.Sivasankari*, R.Jayanthi**

* PG Scholar, Department of ECE, Nandha College of Technology, Erode.

** Professor, Department of ECE, Nandha College of Technology, Erode.

Periodicity:May - July'2013
DOI : https://doi.org/10.26634/jic.1.3.2353

Abstract

Teleophthalmology has the potential to help in electronic delivery of diagnostic and healthcare services to remote rural population. It enables one or more ophthalmologists to remotely examine a patient's condition via public Internet networks. Large bandwidth is necessary for transmitting retinal images over the wireless network. So there is an immense need for high speed and efficient transmission and reduction in storage space resourceful compression techniques is essential. The main goal of proposed work is to provide an efficient tool for defining to maximize compression and reconstruct image portions lossless. This paper is proposed to analyze multiple compression techniques based on Region of Interest (ROI). In the diagnosis of retinal images, the significant part is separated out from the rest of the image using improved adaptive fuzzy C means algorithm and Integer multi wavelet transform is applied to enhance the visual quality in significant part. The region of less significance are compressed using SPIHT algorithm and finally modified embedded zero tree wavelet algorithm is applied which uses six symbols was applied whole image then Huffman coding is applied to get the compressed image for transmission. The compressed medical data are transmitted over transmission control protocol (TCP) network. The proposed algorithm would have given better quality, if the images will use ROI compared to that of the other methods. The performance of proposed system had evaluated based on Compression Ratio (CR), Peak Signal to Noise Ratio (PSNR), Normalized Average Error (NAE), Average Difference (AD), Maximum Difference (MD), Mean square error (MSE), Root Mean Square error (RMSE), Signal to Noise Ratio (SNR),Normalized cross correlation (NCC), Structural Content (SC),Encoding and Decoding time. The new compression and transmission algorithm shows a better efficiency for retinal image. The result analyzed using MATLAB and realized in hardware. As a result, the Teleophthalmology is provided the remote patients with a cost-effective access to specialist's eye checkups at primary healthcare clinics, and at the same time, minimize unnecessary face-to-face consultation at the hospital specialist's center.

Keywords

Retinal Images, Image Compression, Region of Interest, Integer Multi Wavelet Transform, SHIPT, Modified Embedded Zero Tree

How to Cite this Article?

Sivasankari, E., and Jayanthi, R. (2013). Certain Investigations On Teleophthalmology To Develop An Integration System For Diabetic Retinopathy And Age Related Macular Disease. i-manager’s Journal on Instrumentation and Control Engineering, 1(3), 22-30. https://doi.org/10.26634/jic.1.3.2353

References

[1]. Ahmed, Abu-Hajar, & Ravi Shankar. (2004). Region of Interest Cod-ing using Partial –SPIHT, IEEE Int.Symp.Image processing, Vol.9,No.3,2004.

[2]. Ahmet M., Paul S.(1995). "Image quality measures and their performance",IEEE Transactions on communications, Vol.1 No 43,pp.2959-2965.

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

[4]. Baeza I., & Verdoy A.(2009). Elsevier J. Math. Comput. Model. Vol.50:pp.849–859.

[5]. Doukas C., & Maglogiannis I. (2007). Region of Interest Coding Techniques forMedical Image Compression. IEEE Eng. Med. Biol. Mag. Vol.26 No.5,pp.29–35.

[6]. Gunpreet Kaur, Mandeep Kaur. (2011). Performance Evaluation of ROI-based Image Compression Techniques International Journal of Scientific & Engineering Research, (ISSN 2229-5518), Vol 2, No.10.

[7]. J. C. Wei, D. J. Valentino, D. S. Bell., & R. S. Baker. (2006). “A web-based telemedicine system for diabetic retinopathy screening using digital fundus photography,” Telemed. e-Health, Vol. 12, No. 1, pp. 50–57.

[8]. J.Janet., Divya Mohandass., & S.Meenalosini (2011). Lossless Compression Techniques for Medical Images In Telemedicine, ISBN: 978-953-307-161-9, InTech.

[9]. Janaki. R, Tamilarasi. A. (2012)., “Enhanced ROI (Region of Interest Algorithms) for Medical Image Compression”, International Journal of Computer Applications (0975 – 8887), Vol 38, No.2, pp.38-43.

[10]. Joan Bartrina-Rapesta., Joan Serrs-Sagrista., Francesc Auli-Llinas. (2011). “JPEG2000 ROI coding through component priority for digital mammography”, Computer Vision and Image Understanding, Vol.1,No.15, pp:59-68.

[11]. K. Ram., G. D. Joshi., & J. Sivaswamy. (2011). “A successive clutter-rejection- based approach for early detection of diabetic retinopathy,” IEEE Trans. Biomed. Eng., Vol. 58, No. 3, pp. 664–673.

[12]. L. S. Chen., C. Y. Tsai., T. Y. Liu., T. H. Tung., Y. H Chiu., C. C. Chan., D. M. Liou., & T. H Chen. (2004). “Feasibility of tele-ophthalmology for screening for eye disease in remote communities,” J. Telemed. Telecare., Vol. 10, No. 6, pp. 337–341.

[13]. Lavanya. M., M. Sureshkumar (2013). Intelligent Compression Of Medical Images Based On Multi ROI, ICISC, Vol 3, No.1.

[14]. Maglogiannis I., & Kormentzas G. (2009). “Wavelet-based compression with ROI coding support for mobile access to DICOM images over heterogeneous radio networks”, Trans. Inform. Technol. Biomed. Vol.13, No.4, pp.458–466.

[15]. Malay Kumar., Kundu Sudeb., DasLossless (2010). “ROI Medical Image Watermarking Technique with Enhanced Security and High Payload Embedding”, International Conference on Pattern Recognition, IEEE DOI 10.1109.

[16]. Manoj Kulshrestha., Simon Kelly., & Usman Mahmood. (2001). Teleophthalmology in Practice, ISBN: 978-953-307-161-9, InTech,2011.

[17]. Michael B. Martin., & Amy E.Bell. (2001). “New Image Compression Techniques using Multiwavelets and Multiwavelet pascket”, IEEE Transactions on Image Processing, Vol.10, No.4, pp.500-511.

[18]. Ngoh LH., Zhao Z., Yao H., Wei Z., Wu Y., Deng RH & Yu S. (2010). TeleOph: a secure real-time teleophthalmology system. IEEE Trans Inf Technol Biomed, Vol.14, No.5, pp.1259-66.

[19]. P. J. Kertes., & T. M. Johnson, Eds. (2007). “Evidence Based Eye Care. Philadelphia”, PA: Lippincott Williams & Wilkins.

[20]. P.G. Tahoces., J.R. Varela., M.J. Lado., M. Souto. (2008).“Image compression: Maxshift ROI encoding options in JPEG2000”, Computer Vision and Image Understanding, Vol.109 No.2, p.139-145.

[21]. P.G. Tahoces., J.R. Varela., M.J. Lado., M. Souto. (2008). “Image compression: Max shift ROI encoding options in JPEG2000”, Computer Vision and Image Understanding, Vol.109 No.2, pp.139- 145.

[22]. Pervez Akhtar., Muhammad Iqbal Bhatti2., Tariq Javid Ali1., & Muhammad Abdul Muqeet. (2008). “Significance of ROI Coding using MAXSHIFT Scaling applied on MRI Images in Teleradiology-Telemedicine”, J. Biomedical Science and Engineering', Vol.1, pp.110-115.

[23]. R. Klein., B. E. K. Klein., & S. E. Moss. (1984). “Visual impairment in diabetes,” Ophthalmology, Vol. 91, pp. 1–9, 1984.

[24]. R.Sumalatha., M.V.Subramanyam (2011). “Medical Image Compression Using Multiwavelets for Telemedicine Applications”, International Journal of Scientific & Engineering Research, (ISSN 2229-5518),Vol 2, No. 9.

[25]. R.Sumalatha, M.V.Subramanyam Losssless. (2009). Compression of MRI Images using Integer Wavelet and SPIHT algorithm”, In-ternational Journol of Computational Intelligence Research & Applications, July-December, Vol.3, No.2, pp: 237-240.

[26]. Roger Fredy Larico Chávez., Yuzo Iano, Osamu Saotome., & Rogério Seiji Higa. (2011). A Coding Scheme for Storage Surveillance in Timeline using SPIHT and ROI Coding REVISTA TELECOMUNICAÇÕES, Vol. 13, No. 02.

[27]. S.Kumar., M. Tay-Kearneyw., F.Chavesz., I. J Constablew., & K.Yogesan. (2006). “Remote ophthalmology services: Cost comparison of telemedicine and alternative service delivery options,” J. Telemed. Telecare, Vol. 12, No. 1, pp. 19–22, 2006.

[28]. S.Kumar, M. Tay-Kearneyw, F.Chavesz, I. J Constablew, & K.Yogesan. (2006). “Remote ophthalmology services: Cost comparison of telemedicine and alternative service delivery options,” J. Telemed. Telecare, Vol. 12, No. 1, pp. 19–22.

[29].Tilak Mukherjee., M.Koteswara Rao (2013). Efficient Performance of Lifting Scheme Along With Integer Wavelet Transform In Image Compression, IJERA, Vol. 3,No.4, pp.1950-1953.

[30]. V K Bairagi., A M Sapkal (2012). Automated Region Based Hybrid Compression for DICOM MRI Images for Telemedicine Applications, The IET Science, Measurement & Technology, Vol 6, No 4, pp. 247 – 253.

[31]. V. ThulasiBai.,V . Murali., R. Kim., & S.K. Srivatsa. (2007). “Teleophthalmology based rural eye care in India,” Telemed. e-Health, Vol. 13, No. 3, pp. 313– 322.

[32]. Verma M., Raman R, Mohan RE. (2009). Application of tele-ophthalmology in remote diagnosis and management of ad nexal and orbital diseases. Indian J Ophthalmol, Vol.57, No.5, pp.381-384.

[33]. Vikash Kumar Jitu Sharma Shahanaz Ayub. (2012). Image Compression using FFN for ROI and SPIHT for background International Journal of Computer Applications (0975 – 8887) Vol 46, No.18.

Certain Investigations On Teleophthalmology To Develop An Integration System For Diabetic Retinopathy And Age Related Macular Disease

Abstract

Keywords

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