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dc.contributor.author | Moratal Pérez, David | es_ES |
dc.contributor.author | Vallés Lluch, Ana | es_ES |
dc.contributor.author | Bodí, Vicent | es_ES |
dc.contributor.author | Brummer, Marijn Eduard | es_ES |
dc.date.accessioned | 2014-06-05T17:38:18Z | |
dc.date.issued | 2011-03 | |
dc.identifier.issn | 1548-0992 | |
dc.identifier.uri | http://hdl.handle.net/10251/37942 | |
dc.description.abstract | Reconstruction of magnetic resonance images from data not falling on a Cartesian grid is widely used for fast acquisitions, and it is a Fourier inversion problem typically solved using convolution interpolation, also known as gridding. This work presents a comparison between two gridding reconstruction methods to reconstruct magnetic resonance images from acquisitions using spiral trajectories through k-space. One method (grid-driven) is not based on a density compensation function while the other one (Direct Summation) uses Voronoi cells for the determination of the necessary areas to estimate the corresponding density compensation function. Both methods have been applied to the same image to see the reconstruction quality of each method. Both methods have correctly reconstructed the original image using only 13.73% of the original full-grid data from a Cartesian trajectory. © 2011 IEEE. | es_ES |
dc.format.extent | 5 | es_ES |
dc.language | Español | es_ES |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | es_ES |
dc.relation.ispartof | IEEE Latin America Transactions | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Data acquisition | es_ES |
dc.subject | Image reconstruction | es_ES |
dc.subject | Magnetic resonance imaging | es_ES |
dc.subject | Spiral trajectories | es_ES |
dc.subject | A-density | es_ES |
dc.subject | Cartesian grid | es_ES |
dc.subject | Cartesian trajectory | es_ES |
dc.subject | Convolution interpolation | es_ES |
dc.subject | Density compensation | es_ES |
dc.subject | Fast acquisition | es_ES |
dc.subject | Fourier inversion | es_ES |
dc.subject | Gridding | es_ES |
dc.subject | K-space | es_ES |
dc.subject | Magnetic resonance images | es_ES |
dc.subject | Original images | es_ES |
dc.subject | Reconstruction method | es_ES |
dc.subject | Reconstruction quality | es_ES |
dc.subject | Voronoi cell | es_ES |
dc.subject | Resonance | es_ES |
dc.subject | Trajectories | es_ES |
dc.subject.classification | MAQUINAS Y MOTORES TERMICOS | es_ES |
dc.subject.classification | TECNOLOGIA ELECTRONICA | es_ES |
dc.title | Magnetic resonance imaging gridding reconstruction methods with and without density compensation functions | es_ES |
dc.type | Artículo | es_ES |
dc.embargo.lift | 10000-01-01 | |
dc.embargo.terms | forever | es_ES |
dc.identifier.doi | 10.1109/TLA.2011.5876418 | |
dc.rights.accessRights | Cerrado | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Termodinámica Aplicada - Departament de Termodinàmica Aplicada | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Centro de Biomateriales e Ingeniería Tisular - Centre de Biomaterials i Enginyeria Tissular | es_ES |
dc.description.bibliographicCitation | Moratal Pérez, D.; Vallés Lluch, A.; Bodí, V.; Brummer, ME. (2011). Magnetic resonance imaging gridding reconstruction methods with and without density compensation functions. IEEE Latin America Transactions. 9(1):40-44. doi:10.1109/TLA.2011.5876418 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1109/TLA.2011.5876418 | es_ES |
dc.description.upvformatpinicio | 40 | es_ES |
dc.description.upvformatpfin | 44 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 9 | es_ES |
dc.description.issue | 1 | es_ES |
dc.relation.senia | 209418 |