title: Towards estimating cardiac motion using low-rank representation and topology preservation for ultrafast ultrasound data.
abstract: 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.
authors.forename: Angelica I
authors.initials: AI
authors.lastname: Aviles
authors.forename: Thomas
authors.initials: T
authors.lastname: Widlak
authors.forename: Alicia
authors.initials: A
authors.lastname: Casals
authors.forename: Habib
authors.initials: H
authors.lastname: Ammari
mesh_terms: D000465:Algorithms; D006321:Heart / Q000000981:diagnostic imaging*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D009068:Movement; D014463:Ultrasonography