Arlie G. Capps
University of California, Davis
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Featured researches published by Arlie G. Capps.
Biomedical Optics Express | 2016
Iwona Gorczynska; Justin Migacz; Robert J. Zawadzki; Arlie G. Capps; John S. Werner
We compared the performance of three OCT angiography (OCTA) methods: speckle variance, amplitude decorrelation and phase variance for imaging of the human retina and choroid. Two averaging methods, split spectrum and volume averaging, were compared to assess the quality of the OCTA vascular images. All data were acquired using a swept-source OCT system at 1040 nm central wavelength, operating at 100,000 A-scans/s. We performed a quantitative comparison using a contrast-to-noise (CNR) metric to assess the capability of the three methods to visualize the choriocapillaris layer. For evaluation of the static tissue noise suppression in OCTA images we proposed to calculate CNR between the photoreceptor/RPE complex and the choriocapillaris layer. Finally, we demonstrated that implementation of intensity-based OCT imaging and OCT angiography methods allows for visualization of retinal and choroidal vascular layers known from anatomic studies in retinal preparations. OCT projection imaging of data flattened to selected retinal layers was implemented to visualize retinal and choroidal vasculature. User guided vessel tracing was applied to segment the retinal vasculature. The results were visualized in a form of a skeletonized 3D model.
Investigative Ophthalmology & Visual Science | 2013
Athanasios Panorgias; Robert J. Zawadzki; Arlie G. Capps; Allan A. Hunter; Lawrence S. Morse; John S. Werner
PURPOSE To correlate retinal function and visual sensitivity with retinal morphology revealed by ultrahigh-resolution imaging with adaptive optics-optical coherence tomography (AO-OCT), on patients with geographic atrophy. METHODS Five eyes from five subjects were tested (four with geographic atrophy [66.3 ± 6.4 years, mean ± 1 SD] and one normal [61 years]). Photopic and scotopic multifocal electroretinograms (mfERGs) were recorded. Visual fields were assessed with microperimetry (mP) combined with a scanning laser ophthalmoscope for high-resolution confocal retinal fundus imaging. The eye tracker of the microperimeter identified the preferred retinal locus that was then used as a reference for precise targeting of areas for advanced retinal imaging. Images were obtained with purpose-built, in-house, ultrahigh resolution AO-OCT. Fundus autofluorescence (FAF) and color fundus (CF) photographs were also acquired. RESULTS The AO-OCT imaging provided detailed cross-sectional structural representation of the retina. Up to 12 retinal layers were identified in the normal subject while many severe retinal abnormalities (i.e., calcified drusen, drusenoid pigment epithelium detachment, outer retinal tubulation) were identified in the retinae of the GA patients. The functional tests showed preservation of sensitivities, although somewhat compromised, at the border of the GA. CONCLUSIONS The images provided here advance our knowledge of the morphology of retinal layers in GA patients. While there was a strong correlation between altered retinal structure and reduction in visual function, there were a number of examples in which the photoreceptor inner/outer segment (IS/OS) junctions lost reflectivity at the margins of GA, while visual function was still demonstrated. This was shown to be due to changes in photoreceptor orientation near the GA border.
IEEE Journal of Selected Topics in Quantum Electronics | 2014
Robert J. Zawadzki; Arlie G. Capps; Dae Yu Kim; Athanasios Panorgias; Scott B. Stevenson; Bernd Hamann; John S. Werner
Recent progress in retinal image acquisition techniques, including optical coherence tomography (OCT) and scanning laser ophthalmoscopy (SLO), combined with improved performance of adaptive optics (AO) instrumentation, has resulted in improvement in the quality of in vivo images of cellular structures in the human retina. Here, we present a short review of progress on developing AO-OCT instruments. Despite significant progress in imaging speed and resolution, eye movements present during acquisition of a retinal image with OCT introduce motion artifacts into the image, complicating analysis and registration. This effect is especially pronounced in high-resolution datasets acquired with AO-OCT instruments. Several retinal tracking systems have been introduced to correct retinal motion during data acquisition. We present a method for correcting motion artifacts in AO-OCT volume data after acquisition using simultaneously captured adaptive optics-scanning laser ophthalmoscope (AO-SLO) images. We extract transverse eye motion data from the AO-SLO images, assign a motion adjustment vector to each AO-OCT A-scan, and re-sample from the scattered data back onto a regular grid. The corrected volume data improve the accuracy of quantitative analyses of microscopic structures.
Proceedings of SPIE | 2011
Arlie G. Capps; Robert J. Zawadzki; Qiang Yang; David W. Arathorn; Curtis R. Vogel; Bernd Hamann; John S. Werner
Eye movements present during acquisition of a retinal image with optical coherence tomography (OCT) introduce motion artifacts into the image, complicating analysis and registration. This effect is especially pronounced in highresolution data sets acquired with adaptive optics (AO)-OCT instruments. Several retinal tracking systems have been introduced to correct retinal motion during data acquisition. We present a method for correcting motion artifacts in AOOCT volume data after acquisition using simultaneously captured adaptive optics-scanning laser ophthalmoscope (AOSLO) images. We extract transverse eye motion data from the AO-SLO images, assign a motion adjustment vector to each AO-OCT A-scan, and re-sample from the scattered data back onto a regular grid. The corrected volume data improve the accuracy of quantitative analyses of microscopic structures.
Proceedings of SPIE | 2012
Robert J. Zawadzki; Steven M. Jones; Dae Yu Kim; Lisa A. Poyneer; Arlie G. Capps; Bernd Hamann; Scot S. Olivier; John S. Werner
Recent progress in retinal image acquisition techniques, including optical coherence tomography (OCT) and scanning laser ophthalmoscopy (SLO), combined with improved performance of adaptive optics (AO) instrumentation, has resulted in improvement in the quality of in vivo images of cellular structures in the outer layers of the human retina. Despite the significant progress in imaging cone and rod photoreceptor mosaics, visualization of cellular structures in the inner retina has been achieved only with extrinsic contrast agents that have not been approved for use with humans. In this paper we describe the main limiting factors in visualizing inner retinal cells and the methods we implemented to reduce their effects on images acquired with AO-OCT. These include improving the system point spread function (AO performance), monitoring of motion artifacts (retinal motion tracking), and speckle pattern reduction (temporal and spatial averaging). Results of imaging inner retinal morphology and the improvement offered by the new UC Davis AOOCT system with spatio-temporal image averaging are presented.
Optics in the Life Sciences (2011), paper BMA3 | 2011
Robert J. Zawadzki; Suman Pilli; Dae Yu Kim; Sandra E. Balderas-Mata; Arlie G. Capps; John S. Werner
Current developments in cellular resolution in-vivo retinal imaging systems at the UC Davis will be presented. Instrumentation developments include the combination of adaptive optics with optical coherence tomography and scanning laser ophthalmoscopy.
Multimedia Tools and Applications | 2017
Xin Wang; Zhen-Long Zhao; Arlie G. Capps; Bernd Hamann
Investigative Ophthalmology & Visual Science | 2012
Athanasios Panorgias; Robert J. Zawadzki; Arlie G. Capps; Allan A. Hunter; Lawrence S. Morse; John S. Werner
Investigative Ophthalmology & Visual Science | 2012
Robert J. Zawadzki; Steven M. Jones; Athanasios Panorgias; Arlie G. Capps; Scot S. Olivier; Lawrence S. Morse; John S. Werner
Investigative Ophthalmology & Visual Science | 2011
John S. Werner; Steven M. Jones; Qiang Yang; Arlie G. Capps; Suman Pilli; Dae Yu Kim; David W. Arathorn; Curtis R. Vogel; Scot S. Olivier; Robert J. Zawadzki