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- Publisher Website: 10.1001/archopht.124.10.1395
- Scopus: eid_2-s2.0-33749566508
- PMID: 17030706
- WOS: WOS:000241057500002
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Article: Novel approach for anterior chamber angle analysis: Anterior Chamber Angle Detection with Edge Measurement and Identification Algorithm (ACADEMIA)
Title | Novel approach for anterior chamber angle analysis: Anterior Chamber Angle Detection with Edge Measurement and Identification Algorithm (ACADEMIA) |
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Authors | |
Issue Date | 2006 |
Publisher | American Medical Association. The Journal's web site is located at http://www.archopthalmol.com |
Citation | Archives of Ophthalmology, 2006, v. 124 n. 10, p. 1395-1401 How to Cite? |
Abstract | 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. ©2006 American Medical Association. All rights reserved. |
Persistent Identifier | http://hdl.handle.net/10722/155890 |
ISSN | 2014 Impact Factor: 4.399 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Leung, CKS | en_US |
dc.contributor.author | Yung, WH | en_US |
dc.contributor.author | Yiu, CKF | en_US |
dc.contributor.author | Lam, SW | en_US |
dc.contributor.author | Leung, DYL | en_US |
dc.contributor.author | Tse, RKK | en_US |
dc.contributor.author | Tham, CCY | en_US |
dc.contributor.author | Chan, WM | en_US |
dc.contributor.author | Lam, DSC | en_US |
dc.date.accessioned | 2012-08-08T08:38:13Z | - |
dc.date.available | 2012-08-08T08:38:13Z | - |
dc.date.issued | 2006 | en_US |
dc.identifier.citation | Archives of Ophthalmology, 2006, v. 124 n. 10, p. 1395-1401 | en_US |
dc.identifier.issn | 0003-9950 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/155890 | - |
dc.description.abstract | 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. ©2006 American Medical Association. All rights reserved. | en_US |
dc.language | eng | en_US |
dc.publisher | American Medical Association. The Journal's web site is located at http://www.archopthalmol.com | en_US |
dc.relation.ispartof | Archives of Ophthalmology | en_US |
dc.subject.mesh | Algorithms | en_US |
dc.subject.mesh | Anterior Chamber - Anatomy & Histology - Ultrasonography | en_US |
dc.subject.mesh | Cornea - Anatomy & Histology - Ultrasonography | en_US |
dc.subject.mesh | Humans | en_US |
dc.subject.mesh | Image Processing, Computer-Assisted | en_US |
dc.subject.mesh | Iris - Anatomy & Histology - Ultrasonography | en_US |
dc.subject.mesh | Trabecular Meshwork - Anatomy & Histology - Ultrasonography | en_US |
dc.title | Novel approach for anterior chamber angle analysis: Anterior Chamber Angle Detection with Edge Measurement and Identification Algorithm (ACADEMIA) | en_US |
dc.type | Article | en_US |
dc.identifier.email | Yiu, CKF:cedric@hkucc.hku.hk | en_US |
dc.identifier.authority | Yiu, CKF=rp00206 | en_US |
dc.description.nature | link_to_OA_fulltext | en_US |
dc.identifier.doi | 10.1001/archopht.124.10.1395 | en_US |
dc.identifier.pmid | 17030706 | - |
dc.identifier.scopus | eid_2-s2.0-33749566508 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-33749566508&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 124 | en_US |
dc.identifier.issue | 10 | en_US |
dc.identifier.spage | 1395 | en_US |
dc.identifier.epage | 1401 | en_US |
dc.identifier.isi | WOS:000241057500002 | - |
dc.publisher.place | United States | en_US |
dc.identifier.scopusauthorid | Leung, CKS=8834590400 | en_US |
dc.identifier.scopusauthorid | Yung, WH=7103137893 | en_US |
dc.identifier.scopusauthorid | Yiu, CKF=24802813000 | en_US |
dc.identifier.scopusauthorid | Lam, SW=7402279310 | en_US |
dc.identifier.scopusauthorid | Leung, DYL=13309931100 | en_US |
dc.identifier.scopusauthorid | Tse, RKK=8220164600 | en_US |
dc.identifier.scopusauthorid | Tham, CCY=36798095100 | en_US |
dc.identifier.scopusauthorid | Chan, WM=7403914485 | en_US |
dc.identifier.scopusauthorid | Lam, DSC=35500200200 | en_US |
dc.identifier.issnl | 0003-9950 | - |