眼前节光学相干层析图像中央角膜厚度自动测量

doi:10.3969/j.issn.0255-8297.2012.06.010

Abstract

Abstract: To obtain quantitative parameters automatically and help medical diagnosis, automatic measurement of central cornea thickness based on edge detection and random sample consensus (RANSAC) is employed. The initial edge in the eye anterior segment optical coherence tomography (OCT) image is obtained with an edge detector. Upper and lower edges of the central cornea are extraxted using the RANSAC circle fitting method. The central cornea thickness is then computed based on the edges. Experiments show that the proposed method can avoid the effect of light beam crossing, and good results comparable to manual analysis can be obtained in real time, indicating that the method has potential applications in the future.

Key words: central cornea thickness, random sample consensus, edge detector, optical coherence tomography, eye anterior segment tissue

CLC Number:

TN911.73

SHU Peng1, SUN Yan-kui1, TIAN Xiao-lin2. Automatic Measurement of Central Cornea Thickness of Eye Anterior Segment Optical Coherence Tomography Image[J]. Journal of Applied Sciences, 2012, 30(6): 619-623.

References

[1]HUANG D, SWANSON E A, LIN C P, SCHUMAN J S, STINSON W G, CHANG W, HEE M R, FLOTTE T, GREGORY K, PULIAFITO C A, FUJIMOTO J G. Optical coherence tomography [J]. Science, 1991, 254(5035): 1178-1181.

[2]WOLFGANG D, JAMES G F. State-of-the-art retinal optical coherence tomography [J]. Progress in Retinal and Eye Research, 2008, 27(1): 45~88

[3]MATHEW P T, DAVID S, THOMAS N. Endothelial cell loss and central corneal thickness in patients with and without diabetes after manual small incision cataract surgery [J]. Cornea, 2011,30(4): 424-428

[4]刘爱林，陈常详. 眼前节组织OCT图像角膜中央厚度测量 [J]. 中国医学物理学杂志，2009, 26(3): 1172-1175.

LIU Ailin, CHEN Changxiang. Central cornea thickness measured in the anterior chamber OCT image [J]. Chinese Journal of Medical Physics, 2009, 26(3): 1172-1175. (in Chinese)

[5]GRAGLIA F, MARI J L, SEQUEIRA J. Cornea contour extraction from OCT radial images. Advanced Knowledge Application in Pratice, Igor Fuerstner, 2010, 341-352.

[6]CORON A, SILVERMAN R H, SAIED A, LAUGIER P, Automatic segmentation of the anterior chamber in in-vivo high-frequency ultrasound images of the eye [C]// IEEE International Conference on Ultrasonics Symposium, 2007:1266 – 1269.

[7]LIN LI FAN, JU YING. Automatic extraction of the anterior chamber contour in OCT images [C]// the Second International Symposium on Information Science and Engineering, 2009: 423-426.

[8]EICHEL J A, MISHRA A K, CLAUSI D A, FIEGUTH P W, BIZHEVA K K. A novel algorithm for extraction of the layers of the cornea [C]// Canadian Conference on Computer and Robot Vision, 2009: 313-320.

[9]FISCHLER M A, BOLLES R C. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography [J]. Communications of the ACM, 1981, 24(6): 381-395

[10]朱毅，何永红，李鹏，何卫红，高应俊，曾楠，马辉. 光学相干层析图像层状结构的增强与定量测量 [J]. 光学学报，2007, 27(3): 515-520.

ZHU Yi, HE Yonghong, LI Peng, HE Weihong, GAO Yingjun, ZENG Nan，MA Hui. Enhancement and quantitative measurement of layer structures in optical coherence tomographic images [J]. Acta Optica Sinica, 2007, 27(3): 515-520. (in Chinese)

[11]舒鹏，孙延奎，田小林. 采用双树复小波和混合概率模型的光学相干层析图像去噪 [J]. 应用科学学报，2011，29(5): 467-472.

SHU Peng, SUN Yankui, TIAN Xiaolin. Denoising of Optical Coherence Tomography Image Using Dual-Tree Complex Wavelet Transform and Mixed Probability Model [J]. Journal Of Applied Sciences, 2011, 29(5):467-472.

[12]OSTU N. A threshold selection method from gray-level histograms [J]. IEEE Transactions on Systems, Man, and Cybernetics, 1979, 9(1): 62-66

[13]ENG H L AND MA K K. Noise adaptive soft-switching median filter for image denoising [C]// IEEE International Conference on Acoustics, Speech, and Signal Processing, 2000: 2175-2178

[14]MARTIN B, MARTIN J T, BERNHARD R, STEPHANIE U, MICHAEL W U, KLAUS L. Central corneal thickness determined with optical coherence tomography in various types of glaucoma [J]. British Journal of Ophthalmology, 2000, 84(11): 1233-1237

[15]蔡守东，何永红，李晖，李志芳，李鹏，代祥松，吴蕾. 眼前节光学相干层析系统的设计及实验研究 [J]. 光电子•激光，2010, 21(4): 628-631.

CAI Shoudong, HE Yonghong, LI Hui, LI Zhifang, LI Peng, DAI Xiangsong and WU Lei, Study of the eye anterior segment imaging system with optical coherence tomography [J]. Journal of Optoelectronics Laser, 2010, 21(4): 628-631. (in Chinese)

[16]CANNY J. A Computational approach to edge detection [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,1986, 8(6): 679-698

Automatic Measurement of Central Cornea Thickness of Eye Anterior Segment Optical Coherence Tomography Image

PDF

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 2

Recommended Articles

Metrics

Comments

[1]	SHU Peng1, SUN Yan-kui1, TIAN Xiao-lin2. Denoising of Optical Coherence Tomography Image Using Dual-Tree Complex Wavelet Transform and Mixed Probability Model [J]. Journal of Applied Sciences, 2011, 29(5): 467-472.
[2]	ZHANG Jing;YAN Zhuang-zhi;SHAO Shi-jie;WANG Mu-yun;WANG Li-ming. Improved Method of Feature Extraction and Matching for Image Mosaic [J]. Journal of Applied Sciences, 2008, 26(3): 288-288 .