Axial Alignment for Anterior Segment Swept Source Optical Coherence Tomography via Robust Low-Rank Tensor Recovery

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• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9902
• 期：1
• 页码：441-449
• 全文大小：1,647 KB
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  5.Mishima, K., Tomidokoro, A., Suramethakul, P., Mataki, N., Kurita, N., Mayama, C., Araie, M.: Iridotrabecular contact observed using anterior segment three-dimensional OCT in eyes with a shallow peripheral anterior chamber. Invest. Ophthalmol. Vis. Sci. 54(7), 4628–4635 (2013)CrossRef
  6.Li, P., Johnstone, M., Wang, R.K.: Full anterior segment biometry with extended imaging range spectral domain optical coherence tomography at 1340 nm. J. Biomed. Opt. 19(4), 046013 (2014)CrossRef
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  13.Liu, J., Musialski, P., Wonka, P., Ye, J.: Tensor completion for estimating missing values in visual data. IEEE Trans. Pattern Anal. Mach. Intell. 35(1), 208–220 (2013)CrossRef
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  15.Xu, Y., Liu, J., Wong, D.W.K., Baskaran, M., Perera, S., Aung, T.: Similarity-weighted linear reconstruction of anterior chamber angles for glaucoma classification. In: IEEE International Symposium on Biomedical Imaging, pp. 693–697 (2016)
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• 作者单位：Yanwu Xu (18)
  Lixin Duan (19)
  Huazhu Fu (18)
  Xiaoqin Zhang (20)
  Damon Wing Kee Wong (18)
  Baskaran Mani (21)
  Tin Aung (21)
  Jiang Liu (18) (22)
  
  18. Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore, Singapore
  19. Amazon, Seattle, USA
  20. Wenzhou University, Wenzhou, China
  21. Singapore Eye Research Institute, Singapore, Singapore
  22. Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China
  
• 丛书名：Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016
• ISBN：978-3-319-46726-9
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9902

文摘

We present a one-step approach based on low-rank tensor recovery for axial alignment in 360-degree anterior chamber optical coherence tomography. Achieving translational alignment and rotation correction of cross-sections simultaneously, this technique obtains a better anterior segment topographical representation and improves quantitative measurement accuracy and reproducibility of disease related parameters. Through its use of global information, the proposed method is more robust compared to using only individual or paired slices, and less sensitive to noise and motion artifacts. In angle closure analysis on 30 patient eyes, the preliminary results indicate that the proposed axial alignment method can not only facilitate manual qualitative analysis with more distinct landmark representation and much less human labor, but also can improve the accuracy of automatic quantitative assessment by 2.9 %, which demonstrates that the proposed approach is promising for a wide range of clinical applications.