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  4. Accelerating the Registration of Image Sequences by Spatio-Temporal Multilevel Strategies
 
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2020
Conference Paper
Title

Accelerating the Registration of Image Sequences by Spatio-Temporal Multilevel Strategies

Abstract
Multilevel strategies are an integral part of many image registration algorithms. These strategies are very well-known for avoiding undesirable local minima, providing an outstanding initial guess, and reducing overall computation time. State-of-the-art multilevel strategies build a hierarchy of discretization in the spatial dimensions. In this paper, we present a spatio-temporal 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 predictor-corrector 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 state-of-the-art multilevel methods on three examined optical coherence tomography datasets.
Author(s)
Aggrawal, H.O.
Modersitzki, J.
Mainwork
IEEE 17th International Symposium on Biomedical Imaging, ISBI 2020. Symposium Proceedings  
Conference
International Symposium on Biomedical Imaging (ISBI) 2020  
DOI
10.1109/ISBI45749.2020.9098520
Language
English
Fraunhofer-Institut für Digitale Medizin MEVIS  
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