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INTELEK Repository
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Online Access
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https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
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2016-08-24 11:14:36
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Restricted Document
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12829
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UniSZA
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[1] C. K. Hitzenberger, P. Trost, P. W. Lo, Q. Zhou, Three-dimensional Imaging of the Human Retina by High-speed Optical Coherence Tomography, Optics Express, 11 (2003), no. 21, 2753-2761. http://dx.doi.org/10.1364/oe.11.002753 [2] D. Huang, E. A. Swanson, C. P. Lin, J. S. Schuman, W. G. Stinson, W. Chang, M. R. Hee, T. Flotte, K. Gregory, C. A. Puliafito, J. G. Fujimoto, Optical Coherence Tomoghraphy, Science, 254 (1991), 1178-1181. [3] J. G. Fujimoto, C. Pitris, S. A. Boppart, M. E. Brezinski, Optical Coherence Tomography: An Emerging Technology for Biomedical Imaging and Optical Biopsy, Neoplasia, 2 (2000), no. 1-2, 9-25. http://dx.doi.org/10.1038/sj.neo.7900071 [4] H. K. Tony, J. G. Fujimoto, J. S. Schuman, L. A. Paunescu, A. M. Kowalevicz, I. Hartl, W. Drexler, G. Wallstein, H. Ishikawa, J. S. Duker, Comparision of Ultrahigh and Standard Resolution Optical Coherence Tomography for Imaging Macular Pathology, Ophthalmology, 112 (2005), no. 11, 1922-1935. http://dx.doi.org/10.1016/j.ophtha.2005.05.027 [5] W. Drexler, U. Morgner, R. K. Ghanta, F. X. Kartner, J. S. Schuman, J. G. Fujimoto, Ultrahigh-resolution Ophthalmic Optical Coherence Tomography, Nature Medicine, 7 (2005), no. 4, 502-507. [6] T. Yagi, F. Okuyama, H. Kawanaka, S. Tsuruoka, A Study on Extraction Method of Internal Limiting Membrane and Retinal Pigment Epithelium from OCT Images, Proceeding of Joint 4th Interna tional Conference on Soft Computing and Intelligent Systems and 9th International Symposium on Advanced Intelligent Systems (SCIS & ISIS 2008), 2008-2013. [7] A. Yamakawa, D. Kodama, S. Tsuruoka, H. Kawanaka, H. Takase, M. F. A. Kadir, H. Matsubara, F. Okuyama, Extraction Method of Retinal Border Lines in Optical Coherence Tomography Image by Using Dynamic Contour Model, World Congress Biomechanics 2010, International Federation for Medical and Biological Engineering IFMBE Proceedings, 31 (2010), 1558-1561. http://dx.doi.org/10.1007/978-3-642-14515-5_397 [8] D. Kodama, A. Yamakawa, S. Tsuruoka, H. Kawanaka, H. Takase, M. F. A. Kadir, H. Matsubara, F. Okuyama, A Retinal Layer Structure Analysis to Measure the Size of Diesease Using Layer Boundaries Detection for Optical Coherence Tomography Images, World Congress Biomechanics 2010, International Federation for Medical and Biological Engineering IFMBE Proceedings, 31 (2010), 1554-1557. http://dx.doi.org/10.1007/978-3-642-14515-5_396 [9] M. F. A. Kadir, A. Yamakawa, D. Kodama, S. Tsuruoka, H. Kawanaka, H. Takase, Y. Uji, H. Matsubara, F. Okuyama, Extraction Method of Abnormal Parts in Retinal Layers from Optical Coherence Tomography Image, Proceedings of the 2nd International Workshop on Regional Innovation Studies (IWRIS2010), 83-86. [10] M. F. A. Kadir, S. Tsuruoka, H. Takase, H. Kawanaka, F. Okuyama, Y. Uji, H. Matsubara, H. Yagami, Extraction of Macular Disease Area Using Ragional Statistics for Optical Coherence Tomography (OCT) Image, Proceedings of the 3rd International Workshop on Regional Innovation Studies (IWRIS2011), (2011), 57-60.
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12829 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=12829 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Article Journal image/jpeg inches 96 96 norman 1420 07 07 765 2016-08-24 11:14:36 1420x765 7136-01-FH02-FIK-16-06427.jpg UniSZA Private Access Extraction of macular disease area using regional statistics technique for human retinal Optical Coherence Tomography (OCT) image Applied Mathematical Sciences Optical Coherence Tomography (OCT) has emerged as a new technology that enables high-resolution cross-sectional images of the retina for identifying, and quantitatively assessing of the retina disease. Quantitative information of retina is needed for tracking progression of ocular disease and evaluates the efficacy of treatment. In this paper, we propose a new border tracking procedure using regional statistics (BTPRS) to extract an abnormal area that specified by medical doctor. This procedure uses a combination of regional statistics and border tracking method. The objectives of this research are to extract the abnormal area in human retina from optical coherence tomography images and to improve the extraction percentage. This research uses 128 pieces of 2 dimensional OCT retinal image of one drusenpatient, and 128 pieces of 2dimensional OCT retinal image of a diabetic macular edema (DME) patient. The part of the diseases are specified by a medical doctor. Results show that the regional statistic border tracking method provided the highest extraction of rate percentage and can extract the abnormal area in both conditions, white and black. In this paper, we will focus on the abnormal area at macular part. This research will provide more useful information to medical doctor and patient for informed consent. We hope that this procedure will be added in the commercial OCT unit to evaluate the degree of disease and response to the treatment. 9 129 Hikari Ltd. Hikari Ltd. 6437-6448 [1] C. K. Hitzenberger, P. Trost, P. W. Lo, Q. Zhou, Three-dimensional Imaging of the Human Retina by High-speed Optical Coherence Tomography, Optics Express, 11 (2003), no. 21, 2753-2761. http://dx.doi.org/10.1364/oe.11.002753 [2] D. Huang, E. A. Swanson, C. P. Lin, J. S. Schuman, W. G. Stinson, W. Chang, M. R. Hee, T. Flotte, K. Gregory, C. A. Puliafito, J. G. Fujimoto, Optical Coherence Tomoghraphy, Science, 254 (1991), 1178-1181. [3] J. G. Fujimoto, C. Pitris, S. A. Boppart, M. E. Brezinski, Optical Coherence Tomography: An Emerging Technology for Biomedical Imaging and Optical Biopsy, Neoplasia, 2 (2000), no. 1-2, 9-25. http://dx.doi.org/10.1038/sj.neo.7900071 [4] H. K. Tony, J. G. Fujimoto, J. S. Schuman, L. A. Paunescu, A. M. Kowalevicz, I. Hartl, W. Drexler, G. Wallstein, H. Ishikawa, J. S. Duker, Comparision of Ultrahigh and Standard Resolution Optical Coherence Tomography for Imaging Macular Pathology, Ophthalmology, 112 (2005), no. 11, 1922-1935. http://dx.doi.org/10.1016/j.ophtha.2005.05.027 [5] W. Drexler, U. Morgner, R. K. Ghanta, F. X. Kartner, J. S. Schuman, J. G. Fujimoto, Ultrahigh-resolution Ophthalmic Optical Coherence Tomography, Nature Medicine, 7 (2005), no. 4, 502-507. [6] T. Yagi, F. Okuyama, H. Kawanaka, S. Tsuruoka, A Study on Extraction Method of Internal Limiting Membrane and Retinal Pigment Epithelium from OCT Images, Proceeding of Joint 4th Interna tional Conference on Soft Computing and Intelligent Systems and 9th International Symposium on Advanced Intelligent Systems (SCIS & ISIS 2008), 2008-2013. [7] A. Yamakawa, D. Kodama, S. Tsuruoka, H. Kawanaka, H. Takase, M. F. A. Kadir, H. Matsubara, F. Okuyama, Extraction Method of Retinal Border Lines in Optical Coherence Tomography Image by Using Dynamic Contour Model, World Congress Biomechanics 2010, International Federation for Medical and Biological Engineering IFMBE Proceedings, 31 (2010), 1558-1561. http://dx.doi.org/10.1007/978-3-642-14515-5_397 [8] D. Kodama, A. Yamakawa, S. Tsuruoka, H. Kawanaka, H. Takase, M. F. A. Kadir, H. Matsubara, F. Okuyama, A Retinal Layer Structure Analysis to Measure the Size of Diesease Using Layer Boundaries Detection for Optical Coherence Tomography Images, World Congress Biomechanics 2010, International Federation for Medical and Biological Engineering IFMBE Proceedings, 31 (2010), 1554-1557. http://dx.doi.org/10.1007/978-3-642-14515-5_396 [9] M. F. A. Kadir, A. Yamakawa, D. Kodama, S. Tsuruoka, H. Kawanaka, H. Takase, Y. Uji, H. Matsubara, F. Okuyama, Extraction Method of Abnormal Parts in Retinal Layers from Optical Coherence Tomography Image, Proceedings of the 2nd International Workshop on Regional Innovation Studies (IWRIS2010), 83-86. [10] M. F. A. Kadir, S. Tsuruoka, H. Takase, H. Kawanaka, F. Okuyama, Y. Uji, H. Matsubara, H. Yagami, Extraction of Macular Disease Area Using Ragional Statistics for Optical Coherence Tomography (OCT) Image, Proceedings of the 3rd International Workshop on Regional Innovation Studies (IWRIS2011), (2011), 57-60.
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| spellingShingle |
Extraction of macular disease area using regional statistics technique for human retinal Optical Coherence Tomography (OCT) image
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| summary |
Optical Coherence Tomography (OCT) has emerged as a new technology that enables high-resolution cross-sectional images of the retina for identifying, and quantitatively assessing of the retina disease. Quantitative information of retina is needed for tracking progression of ocular disease and evaluates the efficacy of treatment. In this paper, we propose a new border tracking procedure using regional statistics (BTPRS) to extract an abnormal area that specified by medical doctor. This procedure uses a combination of regional statistics and border tracking method. The objectives of this research are to extract the abnormal area in human retina from optical coherence tomography images and to improve the extraction percentage. This research uses 128 pieces of 2 dimensional OCT retinal image of one drusenpatient, and 128 pieces of 2dimensional OCT retinal image of a diabetic macular edema (DME) patient. The part of the diseases are specified by a medical doctor. Results show that the regional statistic border tracking method provided the highest extraction of rate percentage and can extract the abnormal area in both conditions, white and black. In this paper, we will focus on the abnormal area at macular part. This research will provide more useful information to medical doctor and patient for informed consent. We hope that this procedure will be added in the commercial OCT unit to evaluate the degree of disease and response to the treatment.
|
| title |
Extraction of macular disease area using regional statistics technique for human retinal Optical Coherence Tomography (OCT) image
|
| title_full |
Extraction of macular disease area using regional statistics technique for human retinal Optical Coherence Tomography (OCT) image
|
| title_fullStr |
Extraction of macular disease area using regional statistics technique for human retinal Optical Coherence Tomography (OCT) image
|
| title_full_unstemmed |
Extraction of macular disease area using regional statistics technique for human retinal Optical Coherence Tomography (OCT) image
|
| title_short |
Extraction of macular disease area using regional statistics technique for human retinal Optical Coherence Tomography (OCT) image
|
| title_sort |
extraction of macular disease area using regional statistics technique for human retinal optical coherence tomography (oct) image
|