Literature DB >> 29552404

Use of focus measure operators for characterization of flood illumination adaptive optics ophthalmoscopy image quality.

David Alonso-Caneiro1,2,3, Danuta M Sampson4,2,3, Avenell L Chew4,2, Michael J Collins1, Fred K Chen4,2,5.   

Abstract

Adaptive optics flood illumination ophthalmoscopy (AO-FIO) allows imaging of the cone photoreceptor in the living human retina. However, clinical interpretation of the AO-FIO image remains challenging due to suboptimal quality arising from residual uncorrected wavefront aberrations and rapid eye motion. An objective method of assessing image quality is necessary to determine whether an AO-FIO image is suitable for grading and diagnostic purpose. In this work, we explore the use of focus measure operators as a surrogate measure of AO-FIO image quality. A set of operators are tested on data sets acquired at different focal depths and different retinal locations from healthy volunteers. Our results demonstrate differences in focus measure operator performance in quantifying AO-FIO image quality. Further, we discuss the potential application of the selected focus operators in (i) selection of the best quality AO-FIO image from a series of images collected at the same retinal location and (ii) assessment of longitudinal changes in the diseased retina. Focus function could be incorporated into real-time AO-FIO image processing and provide an initial automated quality assessment during image acquisition or reading center grading.

Entities:  

Keywords:  (100.0100) Image processing; (120.3890) Medical optics instrumentation; (170.4470) Ophthalmology

Year:  2018        PMID: 29552404      PMCID: PMC5854070          DOI: 10.1364/BOE.9.000679

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  30 in total

1.  In vivo imaging of the photoreceptor mosaic in retinal dystrophies and correlations with visual function.

Authors:  Stacey S Choi; Nathan Doble; Joseph L Hardy; Steven M Jones; John L Keltner; Scot S Olivier; John S Werner
Journal:  Invest Ophthalmol Vis Sci       Date:  2006-05       Impact factor: 4.799

2.  Supernormal vision and high-resolution retinal imaging through adaptive optics.

Authors:  J Liang; D R Williams; D T Miller
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  1997-11       Impact factor: 2.129

3.  Photoreceptor disc shedding in the living human eye.

Authors:  Omer P Kocaoglu; Zhuolin Liu; Furu Zhang; Kazuhiro Kurokawa; Ravi S Jonnal; Donald T Miller
Journal:  Biomed Opt Express       Date:  2016-10-13       Impact factor: 3.732

4.  Pre-processing, registration and selection of adaptive optics corrected retinal images.

Authors:  Gomathy Ramaswamy; Nicholas Devaney
Journal:  Ophthalmic Physiol Opt       Date:  2013-04-29       Impact factor: 3.117

5.  Deblurring adaptive optics retinal images using deep convolutional neural networks.

Authors:  Xiao Fei; Junlei Zhao; Haoxin Zhao; Dai Yun; Yudong Zhang
Journal:  Biomed Opt Express       Date:  2017-11-16       Impact factor: 3.732

6.  Reliability of cone counts using an adaptive optics retinal camera.

Authors:  Mélanie Bidaut Garnier; Mathieu Flores; Guillaume Debellemanière; Marc Puyraveau; Perle Tumahai; Mathieu Meillat; Claire Schwartz; Michel Montard; Bernard Delbosc; Maher Saleh
Journal:  Clin Exp Ophthalmol       Date:  2014-07-25       Impact factor: 4.207

7.  High-resolution imaging with adaptive optics in patients with inherited retinal degeneration.

Authors:  Jacque L Duncan; Yuhua Zhang; Jarel Gandhi; Chiaki Nakanishi; Mohammad Othman; Kari E H Branham; Anand Swaroop; Austin Roorda
Journal:  Invest Ophthalmol Vis Sci       Date:  2007-07       Impact factor: 4.799

8.  In vivo imaging of human retinal microvasculature using adaptive optics scanning light ophthalmoscope fluorescein angiography.

Authors:  Alexander Pinhas; Michael Dubow; Nishit Shah; Toco Y Chui; Drew Scoles; Yusufu N Sulai; Rishard Weitz; Joseph B Walsh; Joseph Carroll; Alfredo Dubra; Richard B Rosen
Journal:  Biomed Opt Express       Date:  2013-07-12       Impact factor: 3.732

9.  Image quality improvement in adaptive optics scanning laser ophthalmoscopy assisted capillary visualization using B-spline-based elastic image registration.

Authors:  Akihito Uji; Sotaro Ooto; Masanori Hangai; Shigeta Arichika; Nagahisa Yoshimura
Journal:  PLoS One       Date:  2013-11-12       Impact factor: 3.240

10.  Cone photoreceptor definition on adaptive optics retinal imaging.

Authors:  Manickam Nick Muthiah; Carlos Gias; Fred Kuanfu Chen; Joe Zhong; Zoe McClelland; Ferenc B Sallo; Tunde Peto; Peter J Coffey; Lyndon da Cruz
Journal:  Br J Ophthalmol       Date:  2014-04-11       Impact factor: 4.638

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  2 in total

1.  Automatic Detection of Cone Photoreceptors With Fully Convolutional Networks.

Authors:  Jared Hamwood; David Alonso-Caneiro; Danuta M Sampson; Michael J Collins; Fred K Chen
Journal:  Transl Vis Sci Technol       Date:  2019-11-12       Impact factor: 3.283

2.  Measuring the spatial distribution of multiply scattered light using a de-scanned image sensor for examining retinal structure contrast.

Authors:  Benjamin S Sajdak; Jack T Postlewaite; Kevin W Eliceiri; Jeremy D Rogers
Journal:  Opt Express       Date:  2021-01-18       Impact factor: 3.894

  2 in total

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