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

Simple item page
dc.affiliation.dptoUC3M. Departamento de Bioingenieríaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Biomedical Imaging and Instrumentation Groupes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: BSEL - Laboratorio de Ciencia e Ingeniería Biomédicaes
dc.contributor.authorMontesinos, Philippe
dc.contributor.authorAbascal, Juanes
dc.contributor.authorChamorro Servent, Judites
dc.contributor.authorChavarrías, Cristinaes
dc.contributor.authorBenito, M.es
dc.contributor.authorVaquero López, Juan Josées
dc.contributor.authorDesco Menéndez, Manueles
dc.date.accessioned2015-03-03T10:00:27Z
dc.date.available2015-03-03T10:00:27Z
dc.date.issued2011
dc.descriptionProceedings of: 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). Valencia, Spain, 23-29 October 2011en
dc.description.abstractDynamic 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.en
dc.description.sponsorshipThis work is supported in part by Ministerio de Ciencia e Innovacion (Red RECA VA), Comunidad de Madrid and Fondos FEDER (ARTEMIS project S2009DPI 1802).en
dc.description.statusPublicadoes
dc.format.extent3
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitation2011 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC): Valencia, Spain. 23-29 October 2011 (2011). IEEE, 3462-3464.es
dc.identifier.doi10.1109/NSSMIC.2011.6152633
dc.identifier.isbn978-1-4673-0118-3
dc.identifier.issn1082-3654
dc.identifier.publicationfirstpage3462
dc.identifier.publicationlastpage3464
dc.identifier.publicationtitle2011 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC)en
dc.identifier.urihttps://hdl.handle.net/10016/20132
dc.identifier.uxxiCC/0000016115
dc.language.isoengen
dc.publisherIeee - The Institute Of Electrical And Electronics Engineers, Incen
dc.relation.eventdate23-29 October 2011en
dc.relation.eventplaceValencia, Españaes
dc.relation.eventtitle2011 IEEE Nuclear Science Symposium and Medcal Imaging Conference (NSS-MIC)en
dc.relation.projectIDComunidad de Madrid. S2009/DPI-1802/ARTEMISen
dc.relation.publisherversionhttp://dx.doi.org/10.1109/NSSMIC.2011.6152633
dc.rights© 2011 IEEE.en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaMedicinaes
dc.subject.ecienciaBiología y Biomedicinaes
dc.subject.otherBiomedical MRIen
dc.subject.otherCardiovascular systemen
dc.subject.otherCompressed sensingen
dc.subject.otherDiseasesen
dc.subject.otherImage codingen
dc.subject.otherImage reconstructionen
dc.subject.otherImage samplingen
dc.subject.otherOptimisationen
dc.subject.otherPhase codingen
dc.subject.otherSpatiotemporal phenomenaen
dc.subject.otherVariational techniquesen
dc.titleHigh-Resolution Dynamic Cardiac MRI on Small Animals Using Reconstruction Based on Split Bregman Methodologyen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
high_NSSMIC_2011_ps.pdf
Size:
844.5 KB
Format:
Adobe Portable Document Format
Download
Collections
DBIAB - BIIG - Proceedings
DBIAB - BIIG - Book Chapters