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Anterior Chamber Angle Detection With Edge Measurement and Identification Algorithm (ACADEMIA)

Christopher Kai-shun Leung, MD, MB ChB; Wing-ho Yung, DPhil; Cedric Ka-fai Yiu, DPhil; Sze-wing Lam, MRCS(Ed); Dexter Yu-lung Leung, MRCS(Ed), DRCOphth; Raymond Kwok-kay Tse, FRCS(Ed), FRCOphth; Clement Chi-yung Tham, FRCS(G); Wai-man Chan, MRCP, FRCS(Ed); Dennis Shun-chiu Lam, MD, FRCOphth

Arch Ophthalmol. 2006;124:1395-1401.

Objective  To describe a novel approach to measuring anterior chamber angle dimensions and configurations.

Methods  Sixty-nine images were selected randomly from the ultrasound biomicroscopic image database to develop the algorithm. Thirty images were selected for further analyses. The value of each pixel of the 8-bit grayscale ultrasound biomicroscopic images was quantized into 0 (black) or 1 (white), and the edge points outlining the angle were detected and fitted with straight lines. The dimensions and profiles of anterior chamber angles were then measured.

Results  The algorithm failed to identify the edge points correctly in 8 (11.6%) of 69 images because of strong background noise. Three basic types of angle configuration were identified based on the derived angle profiles: constant, increasing, and decreasing, which corresponded to flat, bowed forward, and bowed backward iris contours, respectively. The angle measurements demonstrated high correlation with trabecular-iris angle and angle opening distance 500 (calculated as the distance from the corneal endothelium to the anterior iris surface perpendicular to a line drawn at 500 µm from the scleral spur). The strongest association was found between the averaged angle derived from the angle profile and the angle opening distance 500 (r = 0.91).

Conclusion  The proposed algorithm has high correlations with angle opening distance and trabecular-iris angle with the added advantages of being fully automated, reproducible, and able to capture the characteristic angle configurations. However, good-quality ultrasound biomicroscopic images with high signal-to-noise ratio are required to identify the edge points correctly.

Author Affiliations: Department of Ophthalmology, Caritas Medical Centre, Hong Kong (Drs C. K. S. Leung and Tse); Department of Ophthalmology and Visual Sciences (Drs C. K. S. Leung, D. Y. L. Leung, Tham, Chan, and D. S. C. Lam) and Department of Physiology (Dr Yung), Faculty of Medicine, Chinese University of Hong Kong, Hong Kong; Department of Industrial and Manufacturing Systems Engineering, University of Hong Kong, Hong Kong (Dr Yui); and Department of Ophthalmology, Prince of Wales Hospital, Hong Kong (Dr S. W. Lam).

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RELATED LETTERS

Concerns Regarding ACADEMIA
Rajesh S. Kumar, Lisandro M. Sakata, and Tin Aung
Arch Ophthalmol. 2007;125(8):1140.
EXTRACT | FULL TEXT  

Concerns Regarding ACADEMIA—Reply
Christopher Kai-shun Leung, Dexter Yu-lung Leung, Clement Chi-yung Tham, and Dennis Shun-chiu Lam
Arch Ophthalmol. 2007;125(8):1140.
EXTRACT | FULL TEXT  

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