3D motion flow estimation using local all-pass filters

Gilliam, C, Kustner, T and Blu, T 2016, '3D motion flow estimation using local all-pass filters', in Proceedings of the IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016), Prague, Czech Republic, 13-16 April 2016, pp. 282-285.


Document type: Conference Paper
Collection: Conference Papers

Title 3D motion flow estimation using local all-pass filters
Author(s) Gilliam, C
Kustner, T
Blu, T
Year 2016
Conference name ISBI 2016
Conference location Prague, Czech Republic
Conference dates 13-16 April 2016
Proceedings title Proceedings of the IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)
Publisher IEEE
Place of publication United States
Start page 282
End page 285
Total pages 4
Abstract Fast and accurate motion estimation is an important tool in biomedical imaging applications such as motion compensation and image registration. In this paper, we present a novel algorithm to estimate motion in volumetric images based on the recently developed Local All-Pass (LAP) optical flow framework. The framework is built upon the idea that any motion can be regarded as a local rigid displacement and is hence equivalent to all-pass filtering. Accordingly, our algorithm aims to relate two images, on a local level, using a 3D all-pass filter and then extract the local motion flow from the filter. As this process is based on filtering, it can be efficiently repeated over the whole image volume allowing fast estimation of a dense 3D motion. We demonstrate the effectiveness of this algorithm on both synthetic motion flows and in-vivo MRI data involving respiratory motion. In particular, the algorithm obtains greater accuracy for significantly reduced computation time when compared to competing approaches.
Subjects Image Processing
Signal Processing
Keyword(s) Motion Estimation
All-Pass Filters
Optical Flow
Approximation
MR Images
DOI - identifier 10.1109/ISBI.2016.7493264
Copyright notice © 2016 IEEE
ISBN 9781479923519
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