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Magnetic resonance imaging gridding reconstruction methods with and without density compensation functions

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Magnetic resonance imaging gridding reconstruction methods with and without density compensation functions

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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 Senia 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


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