GPU-Based Image Geodesics for Optical Coherence Tomography

Benjamin Berkels, Michael Buchner, Alexander Effland, Martin Rumpf, Steffen Schmitz- Valckenberg

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

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.
Original languageEnglish
Title of host publicationBildverarbeitung für die Medizin 2017
Pages68-73
ISBN (Electronic)978-366254344-3
DOIs
Publication statusPublished - 2017
Externally publishedYes
EventWorkshops on Image processing for the medicine, 2017 - Heidelberg, Germany
Duration: 12 Mar 201714 Mar 2017

Publication series

NameInformatik aktuell
ISSN (Electronic)1431-472X

Conference

ConferenceWorkshops on Image processing for the medicine, 2017
CountryGermany
CityHeidelberg
Period12/03/1714/03/17

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