Retinal Tracking Using Image Processing

Some of the most common blinding conditions are caused by choroidal neovascularization (CNV). At present, the only proven modality of effective treatment is the application of laser energy to the CNV to cauterize the vessels. The current rate of success of this procedure is less than 50% for eradication of the CNV following one treatment session with a recurrence and/or persistence rate of about 50%. The latter condition requires re-treatment and each re-treatment, in turn, has a 50% failure rate. The visual recovery declines with each successive treatment. Indeed, several studies indicate that incomplete treatment was associated with poorer prognosis than no treatment. Because the eye and hence the retina is a moving object, a motion tracking method is required to update the position of laser shots according to the movements of the retina. A new computer-controlled instrument was developed in an attempt to minimize the above-mentioned failure rate. In this book, we designed many of the feature extraction and detection of motion parameters algorithms that may be required in the process of retinal vasculature tracking.

Autorentext

Islam Abdul-Azeem Fouad received his PhD in Systems and Bio-medical Engineering from Faculty of Engineering, Cairo University, Egypt in 2014. He is an Assistant Professor in Bio-medical Technology Department, SALMAN BIN ABDUL-AZIZ university, KSA. His research interests include Bio- medical Image Processing and Bioinformatics in addition to BCI.