Literature DB >> 30783783

Choroidal neovascularization imaging using multiple en face optical coherence tomography angiography image averaging.

Sakura Murakawa1, Ichiro Maruko2, Taizo Kawano1, Taiji Hasegawa1, Tomohiro Iida1.   

Abstract

PURPOSE: To determine the effects of averaging five en face optical coherence tomography angiographic (OCTA) images on the quality of the images in eyes with a choroidal neovascularization (CNV).
METHODS: Twenty-seven eyes of 25 patients (18 men, 7 women; average age 71.0 years) with a CNV were examined by OCTA (OCT HS-100, Canon. Japan). A 3 × 3-mm image including the CNV was recorded and automatically segmented between the retinal outer layers. Analyses were performed on a single image (S-image) and the average of five single images of the same area (A-images). The region of the CNV was selected by ImageJ, and the peak signal-to-noise ratio (PSNR), the vascular density (VD), fractal dimension (FD), and the noise component using band pass filter (BPF) processing of the S- and A-images of each case were compared.
RESULTS: The average PSNR for the A-images was 14.0 which was significantly higher than the 12.2 for the S-images (P < 0.01). However, the average VD was 33.6% for the S-images and 34.8% for the A-images (P > 0.1). The average FD was 1.67 for the S-images and 1.54 for the A-images (P < 0.01). The mean luminance difference obtained by subtracting the luminance of the A-image from the S-image after BPF processing was 10.41 ± 14.66 db which was positive for all eyes.
CONCLUSIONS: The better quality of the A-images of a CNV and absence of a significant difference in the vascular density indicates that the improvement was due to the removal of the same signal levels of the noise component and blood vessels.

Entities:  

Keywords:  Averaging; Band pass filter; Choroidal neovascularization; Optical coherence tomography angiography; Peak signal-to-noise ratio; Vascular density

Mesh:

Year:  2019        PMID: 30783783     DOI: 10.1007/s00417-019-04275-5

Source DB:  PubMed          Journal:  Graefes Arch Clin Exp Ophthalmol        ISSN: 0721-832X            Impact factor:   3.117


  7 in total

1.  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

2.  Correlation of Quantitative Measurements with Diabetic Disease Severity Using Multiple En Face OCT Angiography Image Averaging.

Authors:  Jesse J Jung; Daryle Jason G Yu; Anne Zeng; Michael H Chen; Yue Shi; Marco Nassisi; Kenneth M Marion; Srinivas R Sadda; Quan V Hoang
Journal:  Ophthalmol Retina       Date:  2020-05-07

3.  Gold Nanorod Enhanced Photoacoustic Microscopy and Optical Coherence Tomography of Choroidal Neovascularization.

Authors:  Van-Phuc Nguyen; Yanxiu Li; Jessica Henry; Wei Zhang; Xueding Wang; Yannis M Paulus
Journal:  ACS Appl Mater Interfaces       Date:  2021-08-17       Impact factor: 10.383

4.  Establishing a mouse model of choroidal neovascularization to study the therapeutic effect of levotinib and its mechanism.

Authors:  Xiaonan Xin; Yueyu Zhu; Ruijie Xi; Yuhua Hao
Journal:  Saudi J Biol Sci       Date:  2020-06-27       Impact factor: 4.219

Review 5.  Quantitative optical coherence tomography angiography: A review.

Authors:  Xincheng Yao; Minhaj N Alam; David Le; Devrim Toslak
Journal:  Exp Biol Med (Maywood)       Date:  2020-01-20

6.  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

7.  Usefulness of Denoising Process to Depict Myopic Choroidal Neovascularisation Using a Single Optical Coherence Tomography Angiography Image.

Authors:  Yuka Sawai; Manabu Miyata; Akihito Uji; Sotaro Ooto; Hiroshi Tamura; Naoko Ueda-Arakawa; Yuki Muraoka; Masahiro Miyake; Ayako Takahashi; Yu Kawashima; Shin Kadomoto; Yasuyuki Oritani; Kentaro Kawai; Kenji Yamashiro; Akitaka Tsujikawa
Journal:  Sci Rep       Date:  2020-04-10       Impact factor: 4.996

  7 in total

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