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Simultaneous correspondence and non-rigid 3D reconstruction of the coronary tree from single X-ray images
dc.contributor.author | Serradell, Eduard |
dc.contributor.author | Romero, Adriana |
dc.contributor.author | Leta, Ruben |
dc.contributor.author | Gatta, Carlo |
dc.contributor.author | Moreno-Noguer, Francesc |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.contributor.other | Institut de Robòtica i Informàtica Industrial |
dc.date.accessioned | 2012-02-16T10:25:02Z |
dc.date.available | 2012-02-16T10:25:02Z |
dc.date.created | 2011 |
dc.date.issued | 2011 |
dc.identifier.citation | Serradell, E. [et al.]. Simultaneous correspondence and non-rigid 3D reconstruction of the coronary tree from single X-ray images. A: International Conference on Computer Vision. "Proceedings of 13th International Conference on Computer Vision". Barcelona: 2011, p. 850-857. |
dc.identifier.uri | http://hdl.handle.net/2117/15181 |
dc.description.abstract | We present a novel approach to simultaneously reconstruct the 3D structure of a non-rigid coronary tree and estimate point correspondences between an input X-ray image and a reference 3D shape. At the core of our approach lies an optimization scheme that iteratively fits a generative 3D model of increasing complexity and guides the matching process. As a result, and in contrast to existing approaches that assume rigidity or quasi-rigidity of the structure, our method is able to retrieve large non-linear deformations even when the input data is corrupted by the presence of noise and partial occlusions. We extensively evaluate our approach under synthetic and real data and demonstrate a remarkable improvement compared to state-of-the-art. |
dc.format.extent | 8 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Sistemes experts |
dc.subject.lcsh | Image processing -- Digital techniques |
dc.subject.lcsh | Heart -- Diseases -- Diagnosis -- Data processing |
dc.subject.other | computer vision |
dc.title | Simultaneous correspondence and non-rigid 3D reconstruction of the coronary tree from single X-ray images |
dc.type | Conference report |
dc.subject.lemac | Imatges -- Processament -- Tècniques digitals |
dc.subject.lemac | Cor -- Malalties -- Diagnòstic |
dc.contributor.group | Universitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel·ligents |
dc.identifier.doi | 10.1109/ICCV.2011.6126325 |
dc.description.peerreviewed | Peer Reviewed |
dc.rights.access | Open Access |
local.identifier.drac | 9566508 |
dc.description.version | Postprint (author’s final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/FP7/247947/EU/Gardening with a Cognitive System/GARNICS |
local.citation.author | Serradell, E.; Romero, A.; Leta, R.; Gatta, C.; Moreno, F. |
local.citation.contributor | International Conference on Computer Vision |
local.citation.pubplace | Barcelona |
local.citation.publicationName | Proceedings of 13th International Conference on Computer Vision |
local.citation.startingPage | 850 |
local.citation.endingPage | 857 |