Towards estimating cardiac motion using low-rank representation and topology preservation for ultrafast ultrasound data
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
Estimation of the cardiac motion is very important in order to detect heart diseases. This work presents a cardiac motion estimation approach using ultrafast ultrasound data. We optimize a variational framework which has the benefits of combining low-rank data representation with topology preservation. We show through the analysis of experimental results that this combination offers a radical reduction in computational time and noise while ensuring preservation of the anatomical structure of the heart under complex deformations. Although in this work we use the heart as a study case, our solution is promising to analyze other organs experiencing motion.
CitationAvilés, A., Widlak, T., Casals, A., Ammari, H. Towards estimating cardiac motion using low-rank representation and topology preservation for ultrafast ultrasound data. A: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. "2016 38th annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBC)". Orlando, FL: Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 1082-1085.
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