Markus A. Mayer

TL;DR: A novel software based method to correct motion artifacts in OCT raster scans and merge multiple motion corrected and registered volumes improves image quality and should also improve morphometric measurement accuracy from volumetric OCT data.

TL;DR: A novel speckle noise reduction algorithm for OCT images that uses wavelet decompositions of the single frames for a local noise and structure estimation and observes only a minor sharpness decrease at a signal-to-noise gain.

TL;DR: The proposed novel retinal nerve fiber layer segmentation algorithm for frequency domain data can be applied on scans from both normal healthy subjects, as well as glaucoma patients, using the same set of parameters, and remains almost unaffected by image quality.

TL;DR: In this article, the authors proposed a method for correction of distortions and data gaps due to relative motion of the object and the image acquisition device by applying 3D transforms to input 3D data sets that represent at least partially overlapping regions of the imaged object.

TL;DR: A locally adaptive denoising algorithm using double-density dual-tree complex wavelet transform, a combination of the double- density wavelets and the dual-Tree complex wavelets, is applied to reduce speckle noise in OCT images of the retina.