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Towards estimating cardiac motion using low-rank representation and topology preservation for ultrafast ultrasound data
dc.contributor.author | Avilés Rivero, Angélica |
dc.contributor.author | Widlak, Thomas |
dc.contributor.author | Casals Gelpí, Alicia |
dc.contributor.author | Ammari, Habib |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2017-03-03T10:59:15Z |
dc.date.issued | 2016 |
dc.identifier.citation | 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.isbn | 978-1-4577-0220-4 |
dc.identifier.uri | http://hdl.handle.net/2117/101906 |
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.format.extent | 4 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Enginyeria biomèdica |
dc.subject.lcsh | Cardiovascular system |
dc.subject.lcsh | Imaging systems in medicine |
dc.subject.other | Motion estimation |
dc.subject.other | Medical imaging |
dc.subject.other | Surgical robotics |
dc.title | Towards estimating cardiac motion using low-rank representation and topology preservation for ultrafast ultrasound data |
dc.type | Conference report |
dc.subject.lemac | Sistema cardiovascular |
dc.subject.lemac | Imatges mèdiques |
dc.contributor.group | Universitat Politècnica de Catalunya. GRINS - Grup de Recerca en Robòtica Intel·ligent i Sistemes |
dc.identifier.doi | 10.1109/EMBC.2016.7590919 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/document/7590891/ |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 19740530 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Avilés, A.; Widlak, T.; Casals, A.; Ammari, H. |
local.citation.contributor | Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
local.citation.pubplace | Orlando, FL |
local.citation.publicationName | 2016 38th annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
local.citation.startingPage | 1082 |
local.citation.endingPage | 1085 |