Publica
Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Accelerating the Registration of Image Sequences by SpatioTemporal Multilevel Strategies
 Institute of Electrical and Electronics Engineers IEEE; IEEE Signal Processing Society: IEEE 17th International Symposium on Biomedical Imaging, ISBI 2020. Symposium Proceedings : 37 April 2020, Iowa City, Iowa, USA Piscataway, NJ: IEEE, 2020 ISBN: 9781538693308 ISBN: 9781538693315 S.683686 
 International Symposium on Biomedical Imaging (ISBI) <17, 2020, Iowa City/Iowa> 

 Englisch 
 Konferenzbeitrag 
 Fraunhofer MEVIS () 
Abstract
Multilevel strategies are an integral part of many image registration algorithms. These strategies are very wellknown for avoiding undesirable local minima, providing an outstanding initial guess, and reducing overall computation time. Stateoftheart multilevel strategies build a hierarchy of discretization in the spatial dimensions. In this paper, we present a spatiotemporal strategy, where we introduce a hierarchical discretization in the temporal dimension at each spatial level. This strategy is suitable for a motion estimation problem where the motion is assumed smooth over time. Our strategy exploits the temporal smoothness among image frames by following a predictorcorrector approach. The strategy predicts the motion by a novel interpolation method and later corrects it by registration. The prediction step provides a good initial guess for the correction step, hence reduces the overall computational time for registration. The acceleration is achieved by a factor of 2.5 on average, over the stateoftheart multilevel methods on three examined optical coherence tomography datasets.