Optical coherence tomography angiography (OCT A) enables non-invasive imaging of blood vessels in the eye within seconds. This imaging modality opens up new ways for the diagnosis, monitoring and treatment of patients. Due to increasing life spans and obesity, diseases such as diabetic retinopathy and age-related macular degeneration have a high prevalence in certain groups of the population. The early diagnosis, monitoring and treatment still pose significant challenges to the medical community.

This project aims to aid clinicians in the diagnosis and monitoring of the aforementioned diseases by developing new image processing algorithms for quantification of ocular pathologies and visualization.

This project is carried out in collaboration with Prof. Fujimoto's Biomedical Optical Imaging and Biophotonics Group at MIT in Cambridge, USA.

OCT pipeline is a modular, GPU accelerated framework for the processing of OCT angiography data in research. It is being developed in cooperation with Prof. Fujimoto and his group at the Research Laboratory of Electronics at MIT and is actively used by clinical partners for processing of OCT data.