کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
504416 864302 2011 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Automated selection of major arteries and veins for measurement of arteriolar-to-venular diameter ratio on retinal fundus images
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Automated selection of major arteries and veins for measurement of arteriolar-to-venular diameter ratio on retinal fundus images
چکیده انگلیسی

An automated method for measurement of arteriolar-to-venular diameter ratio (AVR) is presented. The method includes optic disc segmentation for the determination of the AVR measurement zone, retinal vessel segmentation, vessel classification into arteries and veins, selection of major vessel pairs, and measurement of AVRs. The sensitivity for the major vessels in the measurement zone was 87%, while 93% of them were classified correctly into arteries or veins. In 36 out of 40 vessel pairs, at least parts of the paired vessels were correctly identified. Although the average error in the AVRs with respect to those based on the manual vessel segmentation results was 0.11, the average error in vessel diameter was less than 1 pixel. The proposed method may be useful for objective evaluation of AVRs and has a potential for detecting focal arteriolar narrowing on macula-centered screening fundus images.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computerized Medical Imaging and Graphics - Volume 35, Issue 6, September 2011, Pages 472–480
نویسندگان
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