Detection of New Vessels on the Optic Disc Using Retinal Photographs.
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| Title: | Detection of New Vessels on the Optic Disc Using Retinal Photographs. |
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| Authors: | Goatman, Keith A.1, Fleming, Alan D.1, Philip, Sam2, Williams, Graeme J.2, Olson, John A.2, Sharp, Peter F.3 |
| Source: | IEEE Transactions on Medical Imaging. 04/01/2011, Vol. 30 Issue 4, p972-979. 8p. |
| Subjects: | Proliferative vitreoretinopathy, Optic disc, Vision disorders, Retinal blood vessel diseases, Photography, Support vector machines, Classification, Reference values |
| Abstract: | Proliferative diabetic retinopathy is a rare condition likely to lead to severe visual impairment. It is characterized by the development of abnormal new retinal vessels. We describe a method for automatically detecting new vessels on the optic disc using retinal photography. Vessel-like candidate segments are first detected using a method based on watershed lines and ridge strength measurement. Fifteen feature parameters, associated with shape, position, orientation, brightness, contrast and line density are calculated for each candidate segment. Based on these features, each segment is categorized as normal or abnormal using a support vector machine (SVM) classifier. The system was trained and tested by cross-validation using 38 images with new vessels and 71 normal images from two diabetic retinal screening centers and one hospital eye clinic. The discrimination performance of the fifteen features was tested against a clinical reference standard. Fourteen features were found to be effective and used in the final test. The area under the receiver operator characteristic curve was 0.911 for detecting images with new vessels on the disc. This accuracy may be sufficient for it to play a useful clinical role in an automated retinopathy analysis system. [ABSTRACT FROM AUTHOR] |
| Copyright of IEEE Transactions on Medical Imaging is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 59822839 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Detection of New Vessels on the Optic Disc Using Retinal Photographs. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Goatman%2C+Keith+A%2E%22">Goatman, Keith A.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Fleming%2C+Alan+D%2E%22">Fleming, Alan D.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Philip%2C+Sam%22">Philip, Sam</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Williams%2C+Graeme+J%2E%22">Williams, Graeme J.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Olson%2C+John+A%2E%22">Olson, John A.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Sharp%2C+Peter+F%2E%22">Sharp, Peter F.</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Medical+Imaging%22">IEEE Transactions on Medical Imaging</searchLink>. 04/01/2011, Vol. 30 Issue 4, p972-979. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Proliferative+vitreoretinopathy%22">Proliferative vitreoretinopathy</searchLink><br /><searchLink fieldCode="DE" term="%22Optic+disc%22">Optic disc</searchLink><br /><searchLink fieldCode="DE" term="%22Vision+disorders%22">Vision disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Retinal+blood+vessel+diseases%22">Retinal blood vessel diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Photography%22">Photography</searchLink><br /><searchLink fieldCode="DE" term="%22Support+vector+machines%22">Support vector machines</searchLink><br /><searchLink fieldCode="DE" term="%22Classification%22">Classification</searchLink><br /><searchLink fieldCode="DE" term="%22Reference+values%22">Reference values</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Proliferative diabetic retinopathy is a rare condition likely to lead to severe visual impairment. It is characterized by the development of abnormal new retinal vessels. We describe a method for automatically detecting new vessels on the optic disc using retinal photography. Vessel-like candidate segments are first detected using a method based on watershed lines and ridge strength measurement. Fifteen feature parameters, associated with shape, position, orientation, brightness, contrast and line density are calculated for each candidate segment. Based on these features, each segment is categorized as normal or abnormal using a support vector machine (SVM) classifier. The system was trained and tested by cross-validation using 38 images with new vessels and 71 normal images from two diabetic retinal screening centers and one hospital eye clinic. The discrimination performance of the fifteen features was tested against a clinical reference standard. Fourteen features were found to be effective and used in the final test. The area under the receiver operator characteristic curve was 0.911 for detecting images with new vessels on the disc. This accuracy may be sufficient for it to play a useful clinical role in an automated retinopathy analysis system. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IEEE Transactions on Medical Imaging is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/TMI.2010.2099236 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 972 Subjects: – SubjectFull: Proliferative vitreoretinopathy Type: general – SubjectFull: Optic disc Type: general – SubjectFull: Vision disorders Type: general – SubjectFull: Retinal blood vessel diseases Type: general – SubjectFull: Photography Type: general – SubjectFull: Support vector machines Type: general – SubjectFull: Classification Type: general – SubjectFull: Reference values Type: general Titles: – TitleFull: Detection of New Vessels on the Optic Disc Using Retinal Photographs. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Goatman, Keith A. – PersonEntity: Name: NameFull: Fleming, Alan D. – PersonEntity: Name: NameFull: Philip, Sam – PersonEntity: Name: NameFull: Williams, Graeme J. – PersonEntity: Name: NameFull: Olson, John A. – PersonEntity: Name: NameFull: Sharp, Peter F. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 04/01/2011 Type: published Y: 2011 Identifiers: – Type: issn-print Value: 02780062 Numbering: – Type: volume Value: 30 – Type: issue Value: 4 Titles: – TitleFull: IEEE Transactions on Medical Imaging Type: main |
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