A sparse Bayesian representation for super-resolution of cardiac MR images

Velasco, Nelson F., Rueda, Andrea, Santa Marta Pastrana, Cristina y Romero, Eduardo . (2017) A sparse Bayesian representation for super-resolution of cardiac MR images. Magnetic Resonance Imaging

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Título A sparse Bayesian representation for super-resolution of cardiac MR images
Autor(es) Velasco, Nelson F.
Rueda, Andrea
Santa Marta Pastrana, Cristina
Romero, Eduardo
Materia(s) Biomedicina
Abstract High-quality cardiac magnetic resonance (CMR) images can be hardly obtained when intrinsic noise sources are present, namely heart and breathing movements. Yet heart images may be acquired in real time, the image quality is really limited and most sequences use ECG gating to capture images at each stage of the cardiac cycle during several heart beats. This paper presents a novel super-resolution algorithm that improves the cardiac image quality using a sparse Bayesian approach. The high-resolution version of the cardiac image is constructed by combining the information of the low-resolution series –observations from different non-orthogonal series composed of anisotropic voxels – with a prior distribution of the high-resolution local coefficients that enforces sparsity. In addition, a global prior, extracted from the observed data, regularizes the solution. Quantitative and qualitative validations were performed in synthetic and real images w.r.t to a baseline, showing an average increment between 2.8 and 3.2 dB in the Peak Signal-to-Noise Ratio (PSNR), between 1.8% and 2.6% in the Structural Similarity Index (SSIM) and 2.% to 4% in quality assessment (IL-NIQE). The obtained results demonstrated that the proposed method is able to accurately reconstruct a cardiac image, recovering the original shape with less artifacts and low noise.
Palabras clave Magnetic resonance
Super-resolution
Sparse representation
Editor(es) Elsevier
Fecha 2017-02
Formato application/pdf
Identificador bibliuned:DptoFMyF-FCIE-Articulos-Csantamarta-0009
http://e-spacio.uned.es/fez/view/bibliuned:DptoFMyF-FCIE-Articulos-Csantamarta-0009
DOI - identifier 10.1016/j.mri.2016.10.009
ISSN - identifier 1873-5894
Nombre de la revista Magnetic Resonance Imaging
Número de Volumen 36
Página inicial 77
Página final 85
Publicado en la Revista Magnetic Resonance Imaging
Idioma spa
Versión de la publicación acceptedVersion
Tipo de recurso Article
Derechos de acceso y licencia http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
Tipo de acceso Acceso abierto
Notas adicionales The registered version of this article, first published in Magnetic Resonance Imaging, is available online at the publisher's website: Elsevier https://doi.org/10.1016/j.mri.2016.10.009
Notas adicionales La versión registrada de este artículo, publicado por primera vez en Magnetic Resonance Imaging, está disponible en línea en el sitio web del editor: Elsevier https://doi.org/10.1016/j.mri.2016.10.009

 
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Creado: Fri, 26 Jan 2024, 04:03:28 CET