چاپ صفحه |  صفحه نخست سامانه |  نویسندگان |  اطلاعات تفضیلی |  دانلود مقاله | دانشگاه علوم پزشکی تبریز |
| نویسنده ثبت کننده مقاله | سید حسین راستا |
| مرحله جاری مقاله | تایید نهایی |
| دانشکده/مرکز مربوطه | دانشکده علوم نوین پزشکی |
| کد مقاله | 70258 |
| عنوان فارسی مقاله | بخشبندی خودکار لایه مشیمیه بر روی تصاویر OCT بر اساس تئوری گراف و تبدیل کرولت |
| عنوان لاتین مقاله | Automatic Segmentation of Choroidal Layer on OCT Images Based on Graph Theory and Curvelet Transform |
| نوع ارائه | سخنرانی |
| عنوان کنگره / همایش | 29th Annual Congress of the Iranian Society of Ophthalmology |
| نوع کنگره / همایش | ملی |
| کشور محل برگزاری کنگره/ همایش | Iran (Islamic Republic) |
| شهر محل برگزاری کنگره/ همایش | مشهد |
| سال انتشار/ ارائه شمسی | 1398 |
| سال انتشار/ارائه میلادی | 2019 |
| تاریخ شمسی شروع و خاتمه کنگره/همایش | 1398/08/28 الی 1398/09/01 |
| آدرس لینک مقاله/ همایش در شبکه اینترنت | http://www.irsocongress.ir/PrintAbs.aspx?PRID=1&EID=33 |
| آدرس علمی (Affiliation) نویسنده متقاضی | Medical Bioengineering Department, School of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran. |
| نویسنده | نفر چندم مقاله |
|---|---|
| رضا علیزاده اقتدار | اول |
| مهداد اسمعیلی | دوم |
| سید حسین راستا | پنجم |
| علیرضا پیمان | سوم |
| محمدرضا اخلاقی | چهارم |
| عنوان | متن |
|---|---|
| خلاصه مقاله | Purpose: The thickness measurement and the segmentation of choroid could guide ophthalmologists in order to diagnose most of the pathologies of the eye like diabetic retinopathy (DR). Manually measurement of the choroidal thickness from optical coherence tomography (OCT) images is time-consuming, tiresome and dependent on human errors. To overcome these difficulties in this paper we have introduced new computer aided diagnosis based method for automatic quantification of choroidal thickness. Methods: In this paper we used curvelet transform, KSVD dictionary learning and Lucy-Richardson algorithm in order to speckle noise removal and enhancement of the OCT images. Then, the graph theory is used to determine the location of the inner choroidal boundary (ICB). In order to find the outer choroidal boundary (OCB), we defined the image histogram in a specific range depend on the average brightness of the image. The area between ICB and OCB considered as choroidal thickness. Results: Our proposed method was evaluated on 60 EDI-OCT (Enhanced Depth Imaging Optical Coherence Tomography) images and by comparing the automatic segmentations with manual segmentations of ophthalmologists the average Dice’s Coefficient was 92.14%. The Dice’s coefficient is one of the statistical metrics for comparing the similarity of two samples which was presented by Thorvald Sørensen and Lee Raymond Dice in 1948 and 1945 respectively. It shows notable superiority of our proposed method over other methods. Conclusion: In both normal eyes and eyes with diabetic retinopathy, we observed a great agreement between the manual segmentations and our automatic segmentations. Also the choroid was thinner in eyes with diabetic retinopathy. Automatic segmentation of choroidal layer could also be useful for large-scale quantitative studies of the choroid. |
| کلمات کلیدی | Optical Coherence Tomography, Choroid, Graph Theory |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
|---|---|---|---|
| Congress 29.pdf | 1398/09/14 | 254935 | دانلود |
| abstractBook29.pdf | 1398/09/14 | 1560019 | دانلود |
