Title :
Optical coherence tomography: Health information embedded on OCT signal statistics
Author_Institution :
Inst. of Biomed. Res. in Light & Image (IBILI), Univ. of Coimbra, Coimbra, Portugal
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
Optical coherence tomography is becoming one of the most important imaging modalities in the area of ophthalmology because of being noninvasive and by allowing to visualize the human retina structure in detail. It was recently proposed that OCT data embeds functional information from the human retina. Specifically, it was proposed that blood-retinal barrier status information is present within OCT data. Following this rationale, in this work we illustrate (based on support vector machines) the possibility to discriminate between eyes from healthy volunteers, eyes from type 2 diabetic patients with no signs of diabetic retinopathy (ETDRS level 10 eyes) and eyes diagnosed with diabetic macular edema, thus confirming the presence within OCT data of information on the BRB status.
Keywords :
biomedical optical imaging; diseases; eye; medical information systems; optical tomography; OCT; blood-retinal barrier status; diabetic macular edema; diabetic retinopathy; health information; human retina; ophthalmology; optical coherence tomography; support vector machines; Coherence; Diabetes; Humans; Optical imaging; Retina; Support vector machines; Tomography; Algorithms; Diabetes Complications; Diabetes Mellitus, Type 2; Diabetic Retinopathy; Diagnostic Techniques, Ophthalmological; Fundus Oculi; Humans; Macular Edema; Models, Statistical; Ophthalmoscopes; Retina; Support Vector Machines; Tomography, Optical Coherence; Visual Acuity;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6091514