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Automated Detection of Iris Furrows and their Influence on Dynamic Iris Volume Change.

Publication ,  Journal Article
Chua, J; Thakku, SG; Pham, TH; Lee, R; Tun, TA; Nongpiur, ME; Tan, MCL; Wong, TY; Quah, JHM; Aung, T; Girard, MJA; Cheng, C-Y
Published in: Sci Rep
December 20, 2017

We introduced a new method for detecting iris surface furrows and identify its associations with dynamic changes in iris volume in healthy eyes. Swept-source optical coherence tomography was performed on 65 subjects with open angle under light and dark conditions. Iris boundaries were identified and a reconstruction of the anterior iris surface was obtained. Furrows were detected by identifying locally deep (minima) points on the iris surface and reported as furrow length in millimetres. Iris volume was quantified. Associations between furrow length and dynamic changes in iris volume were assessed using linear regression model. With pupil dilation, furrow length increased (15.84 mm) whereas iris volume decreased (-1.19 ± 0.66 mm3). Longer furrow length was associated with larger static iris volume, as well as smaller loss of iris volume with pupil dilation (β = -0.10, representing 0.1 mm3 less loss in iris volume per 10 mm increase in iris furrow length; P = 0.002, adjusted for age, gender and changes in pupil size). Our iris furrow length measurements are robust and intuitive. Eyes with longer furrows have larger iris volume and lose less volume during physiological pupil dilation. These findings highlight the potential for iris surface features as indicators of iris morphological behavior.

Duke Scholars

Published In

Sci Rep

DOI

EISSN

2045-2322

Publication Date

December 20, 2017

Volume

7

Issue

1

Start / End Page

17894

Location

England

Related Subject Headings

  • Tomography, Optical Coherence
  • Pupil
  • Prospective Studies
  • Middle Aged
  • Male
  • Iris
  • Intraocular Pressure
  • Humans
  • Female
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Chua, J., Thakku, S. G., Pham, T. H., Lee, R., Tun, T. A., Nongpiur, M. E., … Cheng, C.-Y. (2017). Automated Detection of Iris Furrows and their Influence on Dynamic Iris Volume Change. Sci Rep, 7(1), 17894. https://doi.org/10.1038/s41598-017-18039-w
Chua, Jacqueline, Sri Gowtham Thakku, Tan Hung Pham, Ryan Lee, Tin A. Tun, Monisha E. Nongpiur, Marcus Chiang Lee Tan, et al. “Automated Detection of Iris Furrows and their Influence on Dynamic Iris Volume Change.Sci Rep 7, no. 1 (December 20, 2017): 17894. https://doi.org/10.1038/s41598-017-18039-w.
Chua J, Thakku SG, Pham TH, Lee R, Tun TA, Nongpiur ME, et al. Automated Detection of Iris Furrows and their Influence on Dynamic Iris Volume Change. Sci Rep. 2017 Dec 20;7(1):17894.
Chua, Jacqueline, et al. “Automated Detection of Iris Furrows and their Influence on Dynamic Iris Volume Change.Sci Rep, vol. 7, no. 1, Dec. 2017, p. 17894. Pubmed, doi:10.1038/s41598-017-18039-w.
Chua J, Thakku SG, Pham TH, Lee R, Tun TA, Nongpiur ME, Tan MCL, Wong TY, Quah JHM, Aung T, Girard MJA, Cheng C-Y. Automated Detection of Iris Furrows and their Influence on Dynamic Iris Volume Change. Sci Rep. 2017 Dec 20;7(1):17894.

Published In

Sci Rep

DOI

EISSN

2045-2322

Publication Date

December 20, 2017

Volume

7

Issue

1

Start / End Page

17894

Location

England

Related Subject Headings

  • Tomography, Optical Coherence
  • Pupil
  • Prospective Studies
  • Middle Aged
  • Male
  • Iris
  • Intraocular Pressure
  • Humans
  • Female