Sarah Barman
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Automated detection and quantification of intraretinal exudative cysts in macular edema using OCT.
Optical coherence tomography (OCT) is a non-invasive fundus imaging technique. OCT is particularly useful for monitoring the spontaneous evolution or post-treatment progression of chronic macular diseases such as diabetic maculopathy or age-related macular degeneration (AMD). These two diseases affect several million people worldwide and cause blindness in many cases. In addition to visual acuity tests, an Optical Coherence Tomography (OCT) examination is a great advantage when treating patients. If the central macular thickness (CMT) increases and/or some intra retinal cysts are noted, it is recommended to treat patients. The overall aim of the work is to provide automated computer vision techniques that can be applied to OCT images to assist clinicians to base treatment decisions on quantitative information to achieve better patient outcomes. The clinical aims of the work can be summarised: • Automatically recognise intra-retinal cysts on OCT images. • Quantify the volume of the intra-retinal cyst with respect to the retinal tissue itself. • Quantify the change in the volume of the cyst over time.
biographie
Sarah Barman is Professor in Computer Vision in the Faculty of Science, Engineering and Computing at Kingston University where she leads research into retinal image analysis and is Director of Research and Enterprise in the School of Computer Science and Mathematics. After completing her PhD in optical physics at King's College London she took up a postdoctoral position for the next four years, also at King's College, in image analysis. In 2000 she joined Kingston University. Professor Barman is a member of the UK Biobank Eye and Vision consortium, a Fellow of the Institute of Physics and is a registered Chartered Physicist. She is a reviewer of UK research council and EU grants and held membership of the EPSRC College and Healthcare panel for six years. Current projects led by Professor Barman are funded by the British Heart Foundation and Fight for Sight. Previous project funding has included support from UK research councils, the Leverhulme Trust, BUPA foundation and the Royal Society. She is the author of over 90 international scientific publications and book chapters. Professor Barman's main area of interest in research is in the field of medical image analysis. Her work is currently focused on research into novel image analysis techniques to enable the recognition and quantification of features in ophthalmic images. Examples of this work include vessel width and tortuosity measurement on very large retinal fundus datasets, in addition to abnormality detection in diabetic retinopathy images.
