dc.contributor
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor
Universitat Politècnica de Catalunya. GRINS - Grup de Recerca en Robòtica Intel·ligent i Sistemes
dc.contributor.author
Avilés Rivero, Angélica
dc.contributor.author
Widlak, Thomas
dc.contributor.author
Casals Gelpí, Alicia
dc.contributor.author
Ammari, Habib
dc.identifier
Avilés, 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.
dc.identifier
978-1-4577-0220-4
dc.identifier
https://hdl.handle.net/2117/101906
dc.identifier
10.1109/EMBC.2016.7590919
dc.description.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.
dc.description.abstract
Peer Reviewed
dc.description.abstract
Postprint (published version)
dc.format
application/pdf
dc.publisher
Institute of Electrical and Electronics Engineers (IEEE)
dc.relation
http://ieeexplore.ieee.org/document/7590891/
dc.rights
Restricted access - publisher's policy
dc.subject
Àrees temàtiques de la UPC::Enginyeria biomèdica
dc.subject
Cardiovascular system
dc.subject
Imaging systems in medicine
dc.subject
Motion estimation
dc.subject
Medical imaging
dc.subject
Surgical robotics
dc.subject
Sistema cardiovascular
dc.subject
Imatges mèdiques
dc.title
Towards estimating cardiac motion using low-rank representation and topology preservation for ultrafast ultrasound data
dc.type
Conference report
