@inproceedings{e5351cdf670943fcb1710d6f45bca44f,
title = "GPU-Based Image Geodesics for Optical Coherence Tomography",
abstract = "Within a manifold framework, the interpolation of tomographic image time series is investigated. To this end, the metamorphosis model of a manifold of images is taken into account. Based on a variational time discretization, discrete geodesic paths in this space of images are computed. The space discretization is based on finite elements spanned by tensor product cubic B-splines. An efficient implementation is obtained by utilizing graphics hardware and a proper combination of GPU and CPU computation. First results for time series of optical coherence tomography images of a macular degeneration demonstrate the applicability of this geometric concept.",
author = "Benjamin Berkels and Michael Buchner and Alexander Effland and Martin Rumpf and {Schmitz- Valckenberg}, Steffen",
year = "2017",
doi = "10.1007/978-3-662-54345-0_21",
language = "English",
series = "Informatik aktuell",
pages = "68--73",
booktitle = "Bildverarbeitung f{\"u}r die Medizin 2017",
note = "Workshops on Image processing for the medicine, 2017 ; Conference date: 12-03-2017 Through 14-03-2017",
}