dc.contributor
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor
Universitat Politècnica de Catalunya. Departament de Matemàtica Aplicada II
dc.contributor
Institut de Bioenginyeria de Catalunya
dc.contributor
Universitat Politècnica de Catalunya. ICAIB - Grup de Recerca en Intel ligència Computacional per a l'Anàlisi d'Imatge Biomèdica
dc.contributor
Universitat Politècnica de Catalunya. GRINS - Grup de Recerca en Robòtica Intel·ligent i Sistemes
dc.contributor.author
Avilés Rivero, Angélica Ivone
dc.contributor.author
Sobrevilla Frisón, Pilar
dc.contributor.author
Casals Gelpí, Alicia
dc.identifier
Aviles, A.; Sobrevilla, P.; Casals, A. Unconstrained L1-regularized minimization with interpolated transformations for heart motion compensation. A: IEEE Engineering in Medicine and Biology Society. "Proceedings of the 36th. Annual International Conference of the IEEE Engineering in Medicine and Biology Society". Chicago: 2014, p. 5109-5112.
dc.identifier
https://hdl.handle.net/2117/24894
dc.identifier
10.1109/EMBC.2014.6944774
dc.description.abstract
Motion compensation constitutes a challenging issue in minimally invasive beating heart surgery. Since the zone to be repaired has a dynamic behaviour, precision and surgeon's dexterity decrease. In order to solve this problem, various proposals have been presented using l2-norm. However, as they present some limitations in terms of robustness and efficiency, motion compensation is still considered an open problem. In this work, a solution based on the class of l1-Regularized Optimization is proposed. It has been selected due to its mathematical properties and practical benefits. In particular, deformation is characterized by cubic B-splines since they offer an excellent balance between computational cost and accuracy. Moreover, due to the non-differentiability of the functional, the logarithmic barrier function is used for generating a standard optimization problem. Results have provided a very good trade-off between accuracy and efficiency, indicating the potential of the proposed approach and proving its stability even under complex deformations.
dc.description.abstract
Peer Reviewed
dc.description.abstract
Postprint (published version)
dc.format
application/pdf
dc.relation
http://emb.citengine.com/event/embc-2014/paper-details?pdID=1855
dc.rights
Restricted access - publisher's policy
dc.subject
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Agents intel·ligents
dc.subject
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
dc.title
Unconstrained L1-regularized minimization with interpolated transformations for heart motion compensation
dc.type
Conference report
