Literature DB >> 29855147

Multiple enface image averaging for enhanced optical coherence tomography angiography imaging.

Akihito Uji1,2, Siva Balasubramanian1,2, Jianqin Lei1,2, Elmira Baghdasaryan1,2, Mayss Al-Sheikh1,2, Enrico Borrelli1,2, SriniVas R Sadda1,2.   

Abstract

PURPOSE: To investigate the effect of multiple enface image averaging on image quality of the optical coherence tomography angiography (OCTA).
METHODS: Twenty-one normal volunteers were enrolled in this study. For each subject, one eye was imaged with 3 × 3 mm scan protocol, and another eye was imaged with the 6 × 6 mm scan protocol centred on the fovea using the ZEISS Angioplex™ spectral-domain OCTA device. Eyes were repeatedly imaged to obtain nine OCTA cube scan sets, and nine superficial capillary plexus (SCP) and deep capillary plexus (DCP) were individually averaged after registration.
RESULTS: Eighteen eyes with a 3 × 3 mm scan field and 14 eyes with a 6 × 6 mm scan field were studied. Averaged images showed more continuous vessels and less background noise in both the SCP and the DCP as the number of frames used for averaging increased, with both 3 × 3 and 6 × 6 mm scan protocols. The intensity histogram of the vessels dramatically changed after averaging. Contrast-to-noise ratio (CNR) and subjectively assessed image quality scores also increased as the number of frames used for averaging increased in all image types. However, the additional benefit in quality diminished when averaging more than five frames. Averaging only three frames achieved significant improvement in CNR and the score assigned by certified grades.
CONCLUSION: Use of multiple image averaging in OCTA enface images was found to be both objectively and subjectively effective for enhancing image quality. These findings may of value for developing optimal OCTA imaging protocols for future studies.
© 2018 Acta Ophthalmologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  image processing; image quality; optical coherence tomography angiography; retina

Mesh:

Year:  2018        PMID: 29855147     DOI: 10.1111/aos.13740

Source DB:  PubMed          Journal:  Acta Ophthalmol        ISSN: 1755-375X            Impact factor:   3.761


  18 in total

1.  Reconstruction of high-resolution 6×6-mm OCT angiograms using deep learning.

Authors:  Min Gao; Yukun Guo; Tristan T Hormel; Jiande Sun; Thomas S Hwang; Yali Jia
Journal:  Biomed Opt Express       Date:  2020-06-08       Impact factor: 3.732

2.  Impact of integrated multiple image averaging on OCT angiography image quality and quantitative parameters.

Authors:  Jost L Lauermann; Y Xu; P Heiduschka; M Treder; F Alten; N Eter; M Alnawaiseh
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2019-10-19       Impact factor: 3.117

3.  Effect of caffeine on superficial retinal vasculature of the macula in high myopes using optical coherence tomography angiography - A pilot study.

Authors:  Victoria Km Law; Andrew Kc Lam
Journal:  J Optom       Date:  2022-05-28

Review 4.  Evaluation of the inner choroid using OCT angiography.

Authors:  Federico Corvi; Li Su; Srinivas R Sadda
Journal:  Eye (Lond)       Date:  2020-10-12       Impact factor: 3.775

5.  Clinical Utility of Triplicate En Face Image Averaging for Optical Coherence Tomography Angiography in Glaucoma and Glaucoma Suspects.

Authors:  Andrew J Nelson; Zhongdi Chu; Bruce Burkemper; Brenda R Chang; Benjamin Xu; Ruikang K Wang; Grace M Richter
Journal:  J Glaucoma       Date:  2020-09       Impact factor: 2.290

Review 6.  Pearls and Pitfalls of Optical Coherence Tomography Angiography Imaging: A Review.

Authors:  Enrico Borrelli; SriniVas R Sadda; Akihito Uji; Giuseppe Querques
Journal:  Ophthalmol Ther       Date:  2019-03-13

7.  Enhanced Visualization of Retinal Microvasculature via Deep Learning on OCTA Image Quality.

Authors:  Yishuang Xu; Yu Su; Dihao Hua; Peter Heiduschka; Wenliang Zhang; Tianyue Cao; Jingcheng Liu; Zhenyu Ji; Nicole Eter
Journal:  Dis Markers       Date:  2021-06-16       Impact factor: 3.434

8.  Enhanced Visualization of Retinal Microvasculature in Optical Coherence Tomography Angiography Imaging via Deep Learning.

Authors:  Shin Kadomoto; Akihito Uji; Yuki Muraoka; Tadamichi Akagi; Akitaka Tsujikawa
Journal:  J Clin Med       Date:  2020-05-02       Impact factor: 4.241

9.  Microvasculature Segmentation and Intercapillary Area Quantification of the Deep Vascular Complex Using Transfer Learning.

Authors:  Julian Lo; Morgan Heisler; Vinicius Vanzan; Sonja Karst; Ivana Zadro Matovinović; Sven Lončarić; Eduardo V Navajas; Mirza Faisal Beg; Marinko V Šarunić
Journal:  Transl Vis Sci Technol       Date:  2020-07-10       Impact factor: 3.283

10.  Comparison of methods to quantify macular and peripapillary vessel density in optical coherence tomography angiography.

Authors:  Alessandro Rabiolo; Francesco Gelormini; Riccardo Sacconi; Maria Vittoria Cicinelli; Giacinto Triolo; Paolo Bettin; Kouros Nouri-Mahdavi; Francesco Bandello; Giuseppe Querques
Journal:  PLoS One       Date:  2018-10-18       Impact factor: 3.240

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