Registration of adaptive optics corrected retinal nerve fiber layer (RNFL) images.

Glaucoma is the leading cause of preventable blindness in the western world. Investigation of high-resolution retinal nerve fiber layer (RNFL) images in patients may lead to new indicators of its onset. Adaptive optics (AO) can provide diffraction-limited images of the retina, providing new opportunities for earlier detection of neuroretinal pathologies. However, precise processing is required to correct for three effects in sequences of AO-assisted, flood-illumination images: uneven illumination, residual image motion and image rotation. This processing can be challenging for images of the RNFL due to their low contrast and lack of clearly noticeable features. Here we develop specific processing techniques and show that their application leads to improved image quality on the nerve fiber bundles. This in turn improves the reliability of measures of fiber texture such as the correlation of Gray-Level Co-occurrence Matrix (GLCM).

[1]  Nicholas Devaney,et al.  Pre‐processing, registration and selection of adaptive optics corrected retinal images , 2013, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[2]  Austin Roorda,et al.  Retinal motion estimation in adaptive optics scanning laser ophthalmoscopy. , 2006, Optics express.

[3]  Marco Lombardo,et al.  Variations in image optical quality of the eye and the sampling limit of resolution of the cone mosaic with axial length in young adults , 2012, Journal of cataract and refractive surgery.

[4]  D Tomazevic,et al.  Comparative evaluation of retrospective shading correction methods , 2002, Journal of microscopy.

[5]  André Jansson,et al.  Texture , 2007, Encyclopedic Dictionary of Archaeology.

[6]  Yudong Zhang,et al.  Tracking features in retinal images of adaptive optics confocal scanning laser ophthalmoscope using KLT-SIFT algorithm , 2010, Biomedical optics express.

[7]  R.M. Haralick,et al.  Statistical and structural approaches to texture , 1979, Proceedings of the IEEE.

[8]  C. Morandi,et al.  Registration of Translated and Rotated Images Using Finite Fourier Transforms , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  David S. Young Straight Lines and Circles in the Log-Polar Image , 2000, BMVC.

[10]  Masanori Hangai,et al.  In vivo imaging of lamina cribrosa pores by adaptive optics scanning laser ophthalmoscopy. , 2012, Investigative ophthalmology & visual science.

[11]  Yuan F. Zheng,et al.  Object Recognition Using Log-Polar Wavelet Mapping , 2008, 2008 20th IEEE International Conference on Tools with Artificial Intelligence.

[12]  B. N. Chatterji,et al.  An FFT-based technique for translation, rotation, and scale-invariant image registration , 1996, IEEE Trans. Image Process..

[13]  Gang Huang,et al.  A Clinical Planning Module for Adaptive Optics SLO Imaging , 2012, Optometry and vision science : official publication of the American Academy of Optometry.

[14]  F. Medeiros,et al.  Assessment of rates of structural change in glaucoma using imaging technologies , 2011, Eye.

[15]  I. Brown The Scottish NHS does not turn a blind eye to female genital mutilation , 2013, BMJ.

[16]  David Williams,et al.  The locus of fixation and the foveal cone mosaic. , 2005, Journal of vision.

[17]  Alfred Sommer,et al.  How to use nerve fiber layer examination in the management of glaucoma. , 1987, Transactions of the American Ophthalmological Society.

[18]  Ravi S. Jonnal,et al.  Imaging retinal nerve fiber bundles using optical coherence tomography with adaptive optics , 2011, Vision Research.

[19]  Tomasz Arodz Invariant Object Recognition Using Radon-based Transform , 2005, Comput. Artif. Intell..

[20]  U. Acharya,et al.  A survey and comparative study on the instruments for glaucoma detection. , 2012, Medical engineering & physics.

[21]  George Wolberg,et al.  Robust image registration using log-polar transform , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[22]  R. T. Smith,et al.  A novel registration method for retinal images based on local features , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[23]  Chaohong Li,et al.  Reproducibility of measuring lamina cribrosa pore geometry in human and nonhuman primates with in vivo adaptive optics imaging. , 2011, Investigative ophthalmology & visual science.

[24]  Sabalan Daneshvar,et al.  Retinal Image Registration Using Geometrical Features , 2013, Journal of Digital Imaging.

[25]  H. Quigley,et al.  The number of people with glaucoma worldwide in 2010 and 2020 , 2006, British Journal of Ophthalmology.

[26]  Alfredo Dubra,et al.  Adaptive Optics Retinal Imaging – Clinical Opportunities and Challenges , 2013, Current eye research.

[27]  Guy Le Besnerais,et al.  Robust processing of images sequences produced by an adaptive optics retinal camera , 2013 .

[28]  J J Miller,et al.  Aberration correction by maximizing generalized sharpness metrics. , 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.

[29]  Jan Flusser,et al.  Image registration methods: a survey , 2003, Image Vis. Comput..

[30]  Jungtae Rha,et al.  Adaptive optics flood-illumination camera for high speed retinal imaging. , 2003, Optics express.

[31]  Nicholas Devaney,et al.  Adaptive Optics Technology for High-Resolution Retinal Imaging , 2012, Sensors.

[32]  C. D. Kuglin,et al.  The phase correlation image alignment method , 1975 .

[33]  S. Deans The Radon Transform and Some of Its Applications , 1983 .

[34]  K. Takayama,et al.  High-Resolution Imaging of the Retinal Nerve Fiber Layer in Normal Eyes Using Adaptive Optics Scanning Laser Ophthalmoscopy , 2012, PloS one.

[35]  Jian Li,et al.  Image matching for translation, rotation and uniform scaling by the Radon transform , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

[36]  Robert N Weinreb,et al.  A comparison of rates of change in neuroretinal rim area and retinal nerve fiber layer thickness in progressive glaucoma. , 2010, Investigative ophthalmology & visual science.