Detection of the optic nerve head in fundus images of the retina with gabor filters and phase portrait analysis.
We propose a method using Gabor filters and phase portraits to automatically locate the optic nerve head (ONH) in fundus images of the retina. Because the center of the ONH is at or near the focal point of convergence of the retinal vessels, the method includes detection of the vessels using Gabor f...
| Publicado en: | Journal of Digital Imaging Vol. 23; no. 4; pp. 438 - 454 |
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| Autores principales: | , , , |
| Formato: | diagnostic images equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Aug2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105049534&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105049534 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Aug2010 vid: 23 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105049534 2010708798 10.1007/s10278-009-9261-1 NLM20066466 105049534 ppf: 438 ppct: 16 formats: fmt: @attributes: type: P tig: atl: Detection of the optic nerve head in fundus images of the retina with gabor filters and phase portrait analysis. aug: au: Rangayyan RM Zhu X Ayres FJ Ells AL affil: Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, 2500 University Drive NW Calgary Canada T2N 1N4 sug: subj: Optic Nerve Radiography Radiographic Image Interpretation, Computer-Assisted Retina Radiography Automation Blood Vessels Comparative Studies Evaluation Research False Positive Results Funding Source Human Retina Anatomy and Histology Sensitivity and Specificity ab: We propose a method using Gabor filters and phase portraits to automatically locate the optic nerve head (ONH) in fundus images of the retina. Because the center of the ONH is at or near the focal point of convergence of the retinal vessels, the method includes detection of the vessels using Gabor filters, detection of peaks in the node map obtained via phase portrait analysis, and an intensity-based condition. The method was tested on 40 images from the Digital Retinal Images for Vessel Extraction (DRIVE) database and 81 images from the Structured Analysis of the Retina (STARE) database. An ophthalmologist independently marked the center of the ONH for evaluation of the results. The evaluation of the results includes free-response receiver operating characteristics (FROC) and a measure of distance between the manually marked and detected centers. With the DRIVE database, the centers of the ONH were detected with an average distance of 0.36 mm (18 pixels) to the corresponding centers marked by the ophthalmologist. FROC analysis indicated a sensitivity of 100% at 2.7 false positives per image. With the STARE database, FROC analysis indicated a sensitivity of 88.9% at 4.6 false positives per image. pubtype: Academic Journal doctype: diagnostic images equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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