Abstract
When high-magnification images are taken with a quasi-confocal line scanning ophthalmoscope (LSO), the quality of images always suffers from Gaussian noise, and the signal to noise ratio (SNR) is very low for a safer laser illumination. In addition, motions of the retina severely affect the stabilization of the real-time video resulting in significant distortions or warped images. We describe a scale-invariant feature transform (SIFT) algorithm to automatically abstract corner points with subpixel resolution and match these points in sequential images using an affine transformation. Once n images are aligned and averaged, the noise level drops by a factor of \( \sqrt{n} \) and the image quality is improved. The improvement of image quality is independent of the acquisition method as long as the image is not warped, particularly severely during confocal scanning. Consequently, even better results can be expected by implementing this image processing technique on higher resolution images.
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Reference
Roorda A, Romero-Borja F et al (2002) Adaptive optics scanning laser ophthalmoscopy. Opt Express 10:405–412
Wang ZB, Wei D, Wei L et al (2014) Aberration correction during real time in vivo imaging of bone marrow with sensorless adaptive optics confocal microscope. J Biomed Opt 19(8):086009
Hammer DX, Ferguson RD et al (2006) Line-scanning laser ophthalmoscope. J Biomed Opt 11:041126
Sheehy CK, Yang Q et al (2012) High-speed, image-based eye tracking with a scanning laser ophthalmoscope. Biomed Opt Express 3(10):2611–2622
O’Connor NJ et al (1998) Fluorescent infrared scanning-laser ophthalmoscope for three- dimensional visualization: automatic random-eye-motion correction and deconvolution. Appl Opt 37:2021–2033
Hammer DX, Ferguson RD et al (2006) Adaptive optics scanning laser ophthalmoscope for stabilized retinal imaging. Opt Express 14:3354–3367
Li H, Lu J et al (2010) Tracking features in retinal images of adaptive optics confocal scanning laser ophthalmoscope using KLT-SIFT algorithm. Biomed Opt Express 1(1):31–40
He Y, Wei L, Wang Z, Yang J, Li X, Shi G, Zhang Y (2015) Extraction of ultra-high frequency retinal motions with a line scanning quasi-confocal ophthalmoscope. J Optics 17(1):015301
Yi H, Wei L, Wang Z, Yang J, Li X, Shi G, Zhang Y (2015) Precision targeting for retinal motion extraction using cross-correlation with a high speed line scanning ophthalmoscope. J. Optics 17(12):125303
Lowe DG (1999) Object recognition from local scale-invariant feature. In: Proceedings of the international conference on computer vision, Corfu, pp 1150–1157
Acknowledgements
This work is supported by the National Science Foundation of China (Grant NO. 61605210), the National Instrumentation Program (NIP, Grant No. 2012YQ120080), the Jiangsu Province Science Fund for Distinguished Young Scholars (Grant NO. BK20060010), the Frontier Science research project of the Chinese Academy of Sciences (Grant NO. QYZDB-SSW-JSC03), the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant NO. XDB02060000), the National Key Research and Development Program of China (2016YFC0102500), and the Zhejiang Province Technology Program (Grant No. 2013C33170).
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He, Y., Wang, Y., Wei, L., Li, X., Yang, J., Zhang, Y. (2017). Improving Retinal Image Quality Using Registration with an SIFT Algorithm in Quasi-Confocal Line Scanning Ophthalmoscope. In: Halpern, H., LaManna, J., Harrison, D., Epel, B. (eds) Oxygen Transport to Tissue XXXIX. Advances in Experimental Medicine and Biology, vol 977. Springer, Cham. https://doi.org/10.1007/978-3-319-55231-6_25
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DOI: https://doi.org/10.1007/978-3-319-55231-6_25
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