أعضاء هيئة التدريس - جامعة بنها
Graph-based segmentation of corneal epithelium and endothelium in Optical Coherence Tomography images
Investigative Ophthalmology & Visual Science • 2019
معلومات البحث
المؤلفون
Amr Elsawy, Vatookarn Roongpoovapatr, Taher Kamel Eleiwa, Giovanni Gregori, Mohamed Abdel-Mottaleb, Mohamed Abou Shousha
الكلمات المفتاحية
Not Available
المجلة العلمية
Investigative Ophthalmology & Visual Science
الناشر
The Association for Research in Vision and Ophthalmology
المجلد
60
العدد
9
الصفحات
2138
publication.type
International
رابط البحث
Open Link
المواد المرفقة
Not Available
الملخص
Epithelial and the Endothelial surfaces of abnormal cornea images obtained using high definition optical coherence tomography (HD-OCT).
Methods: Thirty-six patients were imaged using HD-OCT (Envisu R2210, Bioptigen, Buffalo Grove, IL, USA). These included patients with different pathologies: Dry eye (6 eyes), Keratoconus (6 eyes), Fuchs Dystrophy (6 eyes), Corneal Graft Rejection (6 eyes), Stem Cells Deficiency (6 eyes) and normal controls (6 eyes). All the images were manually segmented by two expert graders. The graph-based automated segmentation algorithm is based on a two stages approach. A directed graph was constructed using image pixels as the graph vertices. The Epithelial and the Endothelial boundaries were initially segmented using an edge energy between graph vertices based on the normalized gradient .
Methods: Thirty-six patients were imaged using HD-OCT (Envisu R2210, Bioptigen, Buffalo Grove, IL, USA). These included patients with different pathologies: Dry eye (6 eyes), Keratoconus (6 eyes), Fuchs Dystrophy (6 eyes), Corneal Graft Rejection (6 eyes), Stem Cells Deficiency (6 eyes) and normal controls (6 eyes). All the images were manually segmented by two expert graders. The graph-based automated segmentation algorithm is based on a two stages approach. A directed graph was constructed using image pixels as the graph vertices. The Epithelial and the Endothelial boundaries were initially segmented using an edge energy between graph vertices based on the normalized gradient .