Towards estimating cardiac motion using low-rank representation and topology preservation for ultrafast ultrasound data.
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)(2016)
摘要
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.
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关键词
Algorithms,Heart,Humans,Image Processing, Computer-Assisted,Movement,Ultrasonography
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