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Ophthalmic Imaging

In the recent decade, ophthalmic imaging has proven to be a steadily growing field of research. A milestone in ophthalmology was the transfer of Optical Coherence Tomography (OCT) from research to clinical use. Compared to conventional fundus photography, OCT allows the three dimensional, depth resolved visualization of the human retina, while preserving the non-invasiveness. Recently, a radical change occured in the field of OCT research with the clinical introduction of OCT angiography (OCTA), which further adds dye-free imaging of the underlying vasculature.

Research Focus

To facilitate an efficient analysis of this vastly increased amount of information, new processing algorithms are required to support the treating clinician. Our research focus is twofold: On the one hand, we develop advanced motion compensation and signal reconstruction algorithms to achieve artifact-free OCT(A) signals of best possible quality. On the other hand, we develop informative visualization tools and novel image analysis and segmentation methods. By combining both efforts, we want to improve the understanding of the most prevalent eye diseases, allowing for more accurate treatment and thus improved patient outcome.

Multidisciplinary Collaborations

To enable research with state-of-the-art technology while preserving a close link to the clinical needs, the work of our group is embedded in a multidisciplinary environment including optical engineers at the Opens external link in new windowMassachusetts Institute of Technology, Cambridge, USA and clinicians at the Opens external link in new windowNew England Eye Center, Boston, USA and the Department of Ophthalmology at the Opens external link in new windowUniversity Clinic Erlangen.

Contact: Opens internal link in current windowStefan Ploner



Optical Coherence Tomography (OCT) and Optical Coherence Tomography Angiography (OCTA)

The target of this project is to explore the benefits of the OCTA signal in a wide range of applications. These range from visualization and analysis of the OCTA signal alone, up to extending previously OCT-only algorithms to hybrid OCT-OCTA variants that exploit the additional information of the OCTA signal. Examples are:

  • Motion Correction


  • Signal Enhancement


  • Layer Segmentation


  • Artifact Correction


  • Disease Classification


Optical Coherence Tomography (OCT) (finished)
Diffusion Tensor Imaging (DTI) (finished)
Retrospective Microscopy (finished)