High-Resolution Dynamic Cardiac MRI on Small Animals Using Reconstruction Based on Split Bregman Methodology

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dc.contributor.author Montesinos, Philippe
dc.contributor.author Abascal, Juan
dc.contributor.author Chamorro Servent, Judit
dc.contributor.author Chavarrías, Cristina
dc.contributor.author Benito, M.
dc.contributor.author Vaquero López, Juan José
dc.contributor.author Desco Menéndez, Manuel
dc.date.accessioned 2015-03-03T10:00:27Z
dc.date.available 2015-03-03T10:00:27Z
dc.date.issued 2011
dc.identifier.bibliographicCitation 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC): Valencia, Spain. 23-29 October 2011 (2011). IEEE, 3462-3464.
dc.identifier.isbn 978-1-4673-0118-3
dc.identifier.issn 1082-3654
dc.identifier.uri http://hdl.handle.net/10016/20132
dc.description Proceedings of: 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). Valencia, Spain, 23-29 October 2011
dc.description.abstract Dynamic cardiac magnetic resonance imaging in small animals is an important tool in the study of cardiovascular diseases. The reduction of the long acquisition times required for cardiovascular applications is crucial to achieve good spatiotemporal resolution and signal-to-noise ratio. Nowadays there are many acceleration techniques which can reduce acquisition time, including compressed sensing technique. Compressed sensing allows image reconstruction from undersampled data, by means of a non linear reconstruction which minimizes the total variation of the image. The recently appeared Split Bregman methodology has proved to be more computationally efficient to solve this problem than classic optimization methods. In the case of dynamic magnetic resonance imaging, compressed sensing can exploit time sparsity by the minimization of total variation across both space and time. In this work, we propose and validate the Split Bregman method to minimize spatial and time total variation, and apply this method to accelerate cardiac cine acquisitions in rats. We found that applying a quasi-random variable density pattern along the phase-encoding direction, accelerations up to a factor 5 are possible with low error. In the future, we expect to obtain higher accelerations using spatiotemporal undersampling.
dc.description.sponsorship This work is supported in part by Ministerio de Ciencia e Innovacion (Red RECA VA), Comunidad de Madrid and Fondos FEDER (ARTEMIS project S2009DPI 1802).
dc.format.extent 3
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Ieee - The Institute Of Electrical And Electronics Engineers, Inc
dc.rights © 2011 IEEE.
dc.subject.other Biomedical MRI
dc.subject.other Cardiovascular system
dc.subject.other Compressed sensing
dc.subject.other Diseases
dc.subject.other Image coding
dc.subject.other Image reconstruction
dc.subject.other Image sampling
dc.subject.other Optimisation
dc.subject.other Phase coding
dc.subject.other Spatiotemporal phenomena
dc.subject.other Variational techniques
dc.title High-Resolution Dynamic Cardiac MRI on Small Animals Using Reconstruction Based on Split Bregman Methodology
dc.type conferenceObject
dc.type bookPart
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1109/NSSMIC.2011.6152633
dc.subject.eciencia Medicina
dc.subject.eciencia Biología y Biomedicina
dc.identifier.doi 10.1109/NSSMIC.2011.6152633
dc.rights.accessRights openAccess
dc.relation.projectID Comunidad de Madrid. S2009/DPI-1802/ARTEMIS
dc.type.version acceptedVersion
dc.relation.eventdate 23-29 October 2011
dc.relation.eventplace Valencia, España
dc.relation.eventtitle 2011 IEEE Nuclear Science Symposium and Medcal Imaging Conference (NSS-MIC)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 3462
dc.identifier.publicationlastpage 3464
dc.identifier.publicationtitle 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC)
dc.identifier.uxxi CC/0000016115
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