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

Hari Om Aggrawal, Jan Modersitzki


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.

Original languageEnglish
Title of host publication2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)
Number of pages4
Publication date04.2020
Article number9098520
ISBN (Print)978-1-5386-9331-5
ISBN (Electronic)978-1-5386-9330-8
Publication statusPublished - 04.2020
Event17th IEEE International Symposium on Biomedical Imaging
- Iowa City, United States
Duration: 03.04.202007.04.2020
Conference number: 160183


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