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.
Original language | English |
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Title of host publication | 2016 IEEE International Symposium on Biomedical Imaging |
Subtitle of host publication | From Nano to Macro, ISBI 2016 - Proceedings |
Publisher | IEEE Computer Society Press |
Pages | 282-285 |
Number of pages | 4 |
ISBN (Electronic) | 9781479923502 |
DOIs | |
Publication status | Published - 15 Jun 2016 |
Event | 2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Prague, Czech Republic Duration: 13 Apr 2016 → 16 Apr 2016 |
Publication series
Name | Proceedings - International Symposium on Biomedical Imaging |
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Volume | 2016-June |
ISSN (Print) | 1945-7928 |
ISSN (Electronic) | 1945-8452 |
Conference
Conference | 2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 |
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Country/Territory | Czech Republic |
City | Prague |
Period | 13/04/16 → 16/04/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- All-Pass Filters
- Approximation
- Motion Estimation
- MR Images
- Optical Flow
ASJC Scopus subject areas
- Biomedical Engineering
- Radiology Nuclear Medicine and imaging