نوع مقاله: مقاله کامل پژوهشی
نویسندگان
1 دانشجوی کارشناسی ارشد مهندسی برق، گروه مخابرات، دانشکده‌ی مهندسی برق و کامپیوتر، دانشگاه سمنان، سمنان، ایران
2 استادیار، گروه الکترونیک، دانشکده‌ی مهندسی برق و کامپیوتر، دانشگاه سمنان، سمنان، ایران
چکیده
بیماریهای مرتبط با شبکیه و ماکولای چشم باعث از دست رفتن دائمی بینایی یا کاهش بسیار زیاد دید در افراد شده و موجب پایین آمدن کیفیت زندگی و ایجاد مشکلات فراوان در زندگی روزمره‌ی بیماران میشود. از این‌رو شناسایی به هنگام و درست این بیماریها و اختلالات از اهمیت بسیار زیادی برخوردار است. روش تصویربرداری مقطعنگاری همدوسی اپتیکی دقت بالایی در تصویربرداری داشته و هم‌چنین اطلاعات عمقی از شبکیه ارائه میدهد. این روش تصویربرداری کمک بسیار زیادی به شناسایی دقیق بیماریهای مرتبط با ماکولا کرده است. یکی از شایعترین بیماریهای شبکیه‌ی چشم، بیماری دژنراسیون وابسته به سن ماکولا است. هدف از انجام این پژوهش طراحی و پیادهسازی سیستمی قابل اعتماد و سریع است که بتواند بیماری دژنراسیون وابسته به سن ماکولا را با استفاده از پردازش تصاویر مقطعنگاری همدوسی اپتیکی به خوبی و با دقت و سرعت بالا شناسایی کند. در این مطالعه از روشهای هیستوگرام گرادیانهای جهتدار و تحلیل مولفه‌ی اصلی برای استخراج ویژگیها و از روش طبقهبندی گروهی AdaBoost جهت طبقهبندی دادهها استفاده شده است. پایگاه داده‌ی مورد استفاده در این مقاله شامل 269 فرد بیمار و 115 فرد سالم است. هر سه شاخص دقت، حساسیت و خاصیت سیستم پیادهسازی شده برابر با 100% اندازه‌گیری شده است.
کلیدواژه‌ها
عنوان مقاله [English]
A New Method for Automatic Diagnosis of Age-Related Macular Degeneration using Optical Coherence Tomography Images
نویسندگان [English]
- Amir Babaoghli 1
- Hadi Soltanizadeh 2
1 M.Sc. Student, Telecommunications Department, Electrical and Computer Engineering Faculty, Semnan University, Semnan, Iran
2 Assistant Professor, Electronic Department, Electrical and Computer Engineering Faculty, Semnan University, Semnan, Iran
چکیده [English]
Diseases associated with the retina and macula of the eye, causing permanent loss of vision or a great deal of loss of vision in people, leads to a decrease in the quality of life and a lot of problems in daily life. For this reason, the timely and correct identification of these diseases and disorders has become important. The optical coherence tomography imaging method provides high precision in imaging and good information about the depth of the retina. This imaging technique is a great help in the accurate identification of macular-related diseases. Age-related macular degeneration is one of the most common retinal diseases. The purpose of this study is to design and implement a system that is reliable, fast and can detect the age-related macular degeneration by using optical coherence tomography image processing accurately and quickly. In these studies, histograms of orientational gradients and principal component analysis for extraction of features and AdaBoost ensemble classification method have been used to classify the data. The database used includes 269 patients and 115 healthy people. All three indicators of accuracy, sensitivity and specificity of the implemented system were measured at 100%.
کلیدواژه‌ها [English]
- image processing
- Optical coherence tomography
- Age related macular degeneration
- Histogram of oriented gradients
- Principal Component Analysis
- Ensemble Classification
- AdaBoost
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