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High-resolution dynamic cardiac MRI on small animals using reconstruction based on Split Bregman methodology

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dc.contributor.author Montesinos, P.
dc.contributor.author Abascal, Juan Felipe Pérez Juste
dc.contributor.author Chamorro Servent, Judit
dc.contributor.author Chavarrías, Cristina
dc.contributor.author Benito, M.
dc.contributor.author Vaquero, Juan J.
dc.contributor.author Desco, Manuel
dc.date.accessioned 2018-12-17T15:55:34Z
dc.date.available 2018-12-17T15:55:34Z
dc.date.issued 2011
dc.identifier.citation Montesinos P, Abascal J, Chamorro J, Chavarrias C, Benito M, Vaquero JJ, Desco M. High-resolution dynamic cardiac MRI on small animals using reconstruction based on Split Bregman methodology. In: Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011 IEEE; 2011 Oct 23-29; València, Spain. p. 3462-4. DOI: 10.1109/NSSMIC.2011.6152633
dc.identifier.isbn 978-1-4673-0118-3
dc.identifier.issn 1082-3654
dc.identifier.uri http://hdl.handle.net/10230/36128
dc.description Comunicació presentada a: Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), celebrada del 23 al 29 d'octubre de 2011 a València.
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 phaseencoding 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.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011 IEEE; 2011 Oct 23-29; València, Spain. p. 3462-4.
dc.rights © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The final published article can be found at https://ieeexplore.ieee.org/document/6152633/
dc.title High-resolution dynamic cardiac MRI on small animals using reconstruction based on Split Bregman methodology
dc.type info:eu-repo/semantics/conferenceObject
dc.identifier.doi http://dx.doi.org/10.1109/NSSMIC.2011.6152633
dc.subject.keyword Biomedical imaging
dc.subject.keyword Acceleration
dc.subject.keyword Image coding
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion

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