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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