Effects of Intraframe Distortion on Measures of Cone Mosaic Geometry from Adaptive Optics Scanning Light Ophthalmoscopy

Purpose To characterize the effects of intraframe distortion due to involuntary eye motion on measures of cone mosaic geometry derived from adaptive optics scanning light ophthalmoscope (AOSLO) images. Methods We acquired AOSLO image sequences from 20 subjects at 1.0, 2.0, and 5.0° temporal from fixation. An expert grader manually selected 10 minimally distorted reference frames from each 150-frame sequence for subsequent registration. Cone mosaic geometry was measured in all registered images (n = 600) using multiple metrics, and the repeatability of these metrics was used to assess the impact of the distortions from each reference frame. In nine additional subjects, we compared AOSLO-derived measurements to those from adaptive optics (AO)-fundus images, which do not contain system-imposed intraframe distortions. Results We observed substantial variation across subjects in the repeatability of density (1.2%–8.7%), inter-cell distance (0.8%–4.6%), percentage of six-sided Voronoi cells (0.8%–10.6%), and Voronoi cell area regularity (VCAR) (1.2%–13.2%). The average of all metrics extracted from AOSLO images (with the exception of VCAR) was not significantly different than those derived from AO-fundus images, though there was variability between individual images. Conclusions Our data demonstrate that the intraframe distortion found in AOSLO images can affect the accuracy and repeatability of cone mosaic metrics. It may be possible to use multiple images from the same retinal area to approximate a “distortionless” image, though more work is needed to evaluate the feasibility of this approach. Translational Relevance Even in subjects with good fixation, images from AOSLOs contain intraframe distortions due to eye motion during scanning. The existence of these artifacts emphasizes the need for caution when interpreting results derived from scanning instruments.

[1]  David Williams,et al.  The reflectance of single cones in the living human eye. , 2002, Investigative ophthalmology & visual science.

[2]  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.

[3]  C. Curcio,et al.  Variability in Human Cone Topography Assessed by Adaptive Optics Scanning Laser Ophthalmoscopy. , 2015, American journal of ophthalmology.

[4]  David R Williams,et al.  First-order design of off-axis reflective ophthalmic adaptive optics systems using afocal telescopes. , 2009, Optics express.

[5]  Ravi S. Jonnal,et al.  Imaging cone photoreceptors in three dimensions and in time using ultrahigh resolution optical coherence tomography with adaptive optics , 2011, Biomedical optics express.

[6]  Jungtae Rha,et al.  Variable optical activation of human cone photoreceptors visualized using a short coherence light source. , 2009, Optics letters.

[7]  R. Zawadzki,et al.  Simultaneous imaging of human cone mosaic with adaptive optics enhanced scanning laser ophthalmoscopy and high-speed transversal scanning optical coherence tomography. , 2008, Optics letters.

[8]  Ashavini M. Pavaskar,et al.  Spatial and temporal variation of rod photoreceptor reflectance in the human retina , 2011, Biomedical optics express.

[9]  Deborah M. Costakos,et al.  Relationship between foveal cone specialization and pit morphology in albinism. , 2014, Investigative ophthalmology & visual science.

[10]  A. Roorda,et al.  Observation of cone and rod photoreceptors in normal subjects and patients using a new generation adaptive optics scanning laser ophthalmoscope , 2011, Biomedical optics express.

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

[12]  A. Dubra,et al.  Reflective afocal broadband adaptive optics scanning ophthalmoscope , 2011, Biomedical optics express.

[13]  A Roorda,et al.  What can adaptive optics do for a scanning laser ophthalmoscope ? , 2006, Bulletin de la Societe belge d'ophtalmologie.

[14]  Julia S. Kroisamer,et al.  Temporal changes of human cone photoreceptors observed in vivo with SLO/OCT , 2010, Biomedical optics express.

[15]  A. Swaroop,et al.  High-resolution imaging with adaptive optics in patients with inherited retinal degeneration. , 2007, Investigative ophthalmology & visual science.

[16]  A. G. Bennett,et al.  Improvements on Littmann's method of determining the size of retinal features by fundus photography , 1994, Graefe's Archive for Clinical and Experimental Ophthalmology.

[17]  P. Artal,et al.  Adaptive-optics ultrahigh-resolution optical coherence tomography. , 2004, Optics letters.

[18]  C. Dainty,et al.  Adaptive optics enhanced simultaneous en-face optical coherence tomography and scanning laser ophthalmoscopy. , 2006, Optics express.

[19]  Maureen Neitz,et al.  Adaptive optics retinal imaging reveals S-cone dystrophy in tritan color-vision deficiency. , 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.

[20]  Daniel X. Hammer,et al.  High resolution multimodal clinical ophthalmic imaging system , 2010, Optics express.

[21]  William S Tuten,et al.  Adaptive optics microperimetry and OCT images show preserved function and recovery of cone visibility in macular telangiectasia type 2 retinal lesions. , 2015, Investigative ophthalmology & visual science.

[22]  M. Lombardo,et al.  Technical Factors Influencing Cone Packing Density Estimates in Adaptive Optics Flood Illuminated Retinal Images , 2014, PloS one.

[23]  A. Roorda,et al.  Intrinsic signals from human cone photoreceptors. , 2008, Investigative ophthalmology & visual science.

[24]  Austin Roorda,et al.  High-speed, image-based eye tracking with a scanning laser ophthalmoscope , 2012, Biomedical optics express.

[25]  D R Williams,et al.  Supernormal vision and high-resolution retinal imaging through adaptive optics. , 1997, Journal of the Optical Society of America. A, Optics, image science, and vision.

[26]  Andriy Myronenko,et al.  Point Set Registration: Coherent Point Drift , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[27]  Anupam K. Garg,et al.  The reliability of parafoveal cone density measurements , 2014, British Journal of Ophthalmology.

[28]  Alfredo Dubra,et al.  Registration of 2D Images from Fast Scanning Ophthalmic Instruments , 2010, WBIR.

[29]  Christopher S. Langlo,et al.  Reliability and Repeatability of Cone Density Measurements in Patients with Congenital Achromatopsia. , 2016, Advances in experimental medicine and biology.

[30]  Robert J Zawadzki,et al.  Ultrahigh-resolution optical coherence tomography with monochromatic and chromatic aberration correction. , 2008, Optics express.

[31]  Elise W. Dees,et al.  Variability in parafoveal cone mosaic in normal trichromatic individuals , 2011, Biomedical optics express.

[32]  Jennifer J. Hunter,et al.  Imaging retinal mosaics in the living eye , 2011, Eye.

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

[34]  T. Hebert,et al.  Adaptive optics scanning laser ophthalmoscopy. , 2002, Optics express.

[35]  Andrew Metha,et al.  Careful cone counting critical for clinical care , 2014, Clinical & experimental ophthalmology.

[36]  Austin Roorda,et al.  Retinally stabilized cone-targeted stimulus delivery. , 2007, Optics express.

[37]  David Williams,et al.  Noninvasive imaging of the human rod photoreceptor mosaic using a confocal adaptive optics scanning ophthalmoscope , 2011, Biomedical optics express.

[38]  Phillip Bedggood,et al.  Variability in bleach kinetics and amount of photopigment between individual foveal cones. , 2012, Investigative ophthalmology & visual science.

[39]  D. Altman,et al.  Measuring agreement in method comparison studies , 1999, Statistical methods in medical research.

[40]  William S Tuten,et al.  Normal Perceptual Sensitivity Arising From Weakly Reflective Cone Photoreceptors. , 2015, Investigative ophthalmology & visual science.

[41]  Christopher S. Langlo,et al.  Repeatability of In Vivo Parafoveal Cone Density and Spacing Measurements , 2012, Optometry and vision science : official publication of the American Academy of Optometry.