Artículo
Internal gradient distributions: A susceptibility-derived tensor delivering morphologies by magnetic resonance
Fecha de publicación:
12/12/2017
Editorial:
Nature Publishing Group
Revista:
Scientific Reports
ISSN:
2045-2322
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Nuclear magnetic resonance is a powerful tool for probing the structures of chemical and biological systems. Combined with field gradients it leads to NMR imaging (MRI), a widespread tool in non-invasive examinations. Sensitivity usually limits MRI's spatial resolution to tens of micrometers, but other sources of information like those delivered by constrained diffusion processes, enable one extract morphological information down to micron and sub-micron scales. We report here on a new method that also exploits diffusion-isotropic or anisotropic-to sense morphological parameters in the nm-mm range, based on distributions of susceptibility-induced magnetic field gradients. A theoretical framework is developed to define this source of information, leading to the proposition of internal gradient-distribution tensors. Gradient-based spin-echo sequences are designed to measure these new observables. These methods can be used to map orientations even when dealing with unconstrained diffusion, as is here demonstrated with studies of structured systems, including tissues.
Palabras clave:
Nmr
,
Mri
,
Tissue Microstructure
,
Diffusion Weighted Imaging
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Identificadores
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Articulos(CCT - PATAGONIA NORTE)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - PATAGONIA NORTE
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - PATAGONIA NORTE
Citación
Alvarez, Gonzalo Agustin; Shemesh, Noam; Frydman, Lucio; Internal gradient distributions: A susceptibility-derived tensor delivering morphologies by magnetic resonance; Nature Publishing Group; Scientific Reports; 7; 3311; 12-12-2017; 1-10
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