Literature DB >> 28358953

A New Method of Magnification Correction for Accurately Measuring Retinal Vessel Calibers From Fundus Photographs.

Aiko Iwase1, Akihiko Sekine2, Jun Suehiro2, Kenji Tanaka1, Yumiko Kawasaki3, Ryo Kawasaki3, Michael J Sinai2, Makoto Araie4.   

Abstract

Purpose: To report a semiautomated retinal vessel caliber measurement system that measures central retinal artery (vein) equivalent (CRAE [CRVE]) with individual correction for magnification errors under conditions assuming optimal focus.
Methods: The focusing condition of the subject eye fundus camera optical system was individually determined by constructing an optical model of each eye applying its refractive error, corneal curvature, and axial length (AL) to Gullstrand's schematic eye, and by adjusting the position of the camera's focusing lenses using each eye's refractive error. Once the focusing condition of the entire optical system was fulfilled, magnification of the fundus images was calculated using paraxial ray tracing. Measurements of CRAE (CRVE) were performed in an annular area centered on the optic disc with magnification-corrected diameter from 1.8 to 2.7 mm. Reproducibility of the measurements of the results using the new method and comparison with those using interactive vessel analysis (IVAN) were performed in normal Japanese eyes.
Results: Intra- and interexaminer intraclass correlation coefficient (ICC) for CRAE (CRVE) measurements was greater than 0.978. CRAE (CRVE) using the new method averaged 148.9 ± 10.9 μm (225.0 ± 13.9 μm; mean ± SD, N = 99). Differences between the new method and IVAN were greater with increasing AL (P < 0.001). The new method yielded CRAE (CRVE) in good agreement with IVAN in eyes with AL of approximately 24 mm. However, the new method yielded smaller values in eyes with shorter AL and vice versa. Conclusions: A new accurate and reproducible method to measure CRAE (CRVE) from fundus photographs was reported.

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Mesh:

Year:  2017        PMID: 28358953     DOI: 10.1167/iovs.16-21202

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  8 in total

1.  Concordance between SIVA, IVAN, and VAMPIRE Software Tools for Semi-Automated Analysis of Retinal Vessel Caliber.

Authors:  Thibaud Mautuit; Pierre Cunnac; Carol Y Cheung; Tien Y Wong; Stephen Hogg; Emanuele Trucco; Vincent Daien; Thomas J MacGillivray; José Labarère; Christophe Chiquet
Journal:  Diagnostics (Basel)       Date:  2022-05-25

2.  Risk factors for glaucoma are reflected in abnormal responses to frequency-doubling technology screening in both normal and glaucoma eyes.

Authors:  Aiko Iwase; Tae Tsutsumi; Makoto Fujii; Shoichi Sawaguchi; Makoto Araie
Journal:  Sci Rep       Date:  2022-07-09       Impact factor: 4.996

3.  Effects of optic nerve head-related parameters on retinal vessel calibers measurement results on fundus photographs.

Authors:  Aiko Iwase; Tae Tsutsumi; Ryo Kawasaki; Jun Suehiro; Akihiko Sekine; Makoto Araie
Journal:  BMC Ophthalmol       Date:  2022-05-12       Impact factor: 2.086

4.  Radial peripapillary capillary density in superior segmental optic hypoplasia measured with OCT angiography.

Authors:  Maiko Abe; Kazuko Omodaka; Tsutomu Kikawa; Toru Nakazawa
Journal:  BMC Ophthalmol       Date:  2020-05-24       Impact factor: 2.209

5.  Ocular and Systemic Factors Affecting Laser Speckle Flowgraphy Measurements in the Optic Nerve Head.

Authors:  Ayako Anraku; Nobuko Enomoto; Goji Tomita; Aiko Iwase; Takashi Sato; Nobuyuki Shoji; Tomoaki Shiba; Toru Nakazawa; Kazuhisa Sugiyama; Koji Nitta; Makoto Araie
Journal:  Transl Vis Sci Technol       Date:  2021-01-07       Impact factor: 3.283

6.  Characterization of laser speckle flowgraphy pulse waveform parameters for the evaluation of the optic nerve head and retinal circulation.

Authors:  Nobuko Enomoto; Ayako Anraku; Goji Tomita; Aiko Iwase; Takashi Sato; Nobuyuki Shoji; Tomoaki Shiba; Toru Nakazawa; Kazuhisa Sugiyama; Koji Nitta; Makoto Araie
Journal:  Sci Rep       Date:  2021-03-25       Impact factor: 4.379

7.  A Deep Learning System for Fully Automated Retinal Vessel Measurement in High Throughput Image Analysis.

Authors:  Danli Shi; Zhihong Lin; Wei Wang; Zachary Tan; Xianwen Shang; Xueli Zhang; Wei Meng; Zongyuan Ge; Mingguang He
Journal:  Front Cardiovasc Med       Date:  2022-03-22

8.  Factors affecting image magnification in indirect ophthalmoscopy with Volk or similar lenses and a biomicroscope.

Authors:  Amit Navin Jinabhai; W Neil Charman
Journal:  Ophthalmic Physiol Opt       Date:  2022-04-07       Impact factor: 3.992

  8 in total

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