3D motion flow estimation using local all-pass filters
Refereed conference paper presented and published in conference proceedings

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AbstractFast 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.
All Author(s) ListGilliam C., Kustner T., Blu T.
Name of Conference2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016
Start Date of Conference13/04/2016
End Date of Conference16/04/2016
Place of ConferencePrague
Country/Region of ConferenceCzech Republic
Detailed descriptionorganized by IEEE,
Volume Number2016-June
Pages282 - 285
LanguagesEnglish-United Kingdom
KeywordsAll-Pass Filters, Approximation, Motion Estimation, MR Images, Optical Flow

Last updated on 2021-14-04 at 00:07