title: Evaluation of web-based annotation of ophthalmic images for multicentric clinical trials.
abstract: An Internet browser-based annotation system can be used to identify and describe features in digitalized retinal images, in multicentric clinical trials, in real time. In this web-based annotation system, the user employs a mouse to draw and create annotations on a transparent layer, that encapsulates the observations and interpretations of a specific image. Multiple annotation layers may be overlaid on a single image. These layers may correspond to annotations by different users on the same image or annotations of a temporal sequence of images of a disease process, over a period of time. In addition, geometrical properties of annotated figures may be computed and measured. The annotations are stored in a central repository database on a server, which can be retrieved by multiple users in real time. This system facilitates objective evaluation of digital images and comparison of double-blind readings of digital photographs, with an identifiable audit trail. Annotation of ophthalmic images allowed clinically feasible and useful interpretation to track properties of an area of fundus pathology. This provided an objective method to monitor properties of pathologies over time, an essential component of multicentric clinical trials. The annotation system also allowed users to view stereoscopic images that are stereo pairs. This web-based annotation system is useful and valuable in monitoring patient care, in multicentric clinical trials, telemedicine, teaching and routine clinical settings.
authors.affiliation: University of Florida College of Medicine, Jacksonville, Indent, Inc, USA.
authors.forename: K V
authors.initials: KV
authors.lastname: Chalam
authors.forename: P
authors.initials: P
authors.lastname: Jain
authors.forename: V A
authors.initials: VA
authors.lastname: Shah
authors.forename: Gaurav Y
authors.initials: GY
authors.lastname: Shah
mesh_terms: D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D016347:Medical Records Systems, Computerized; D015337:Multicenter Studies as Topic / Q000379:methods*; D009885:Ophthalmology