Internal gradient distributions: A susceptibility-derived tensor delivering morphologies by magnetic resonance

Autores
Alvarez, Gonzalo Agustin; Shemesh, Noam; Frydman, Lucio
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Alvarez, Gonzalo Agustin. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina. Weizmann Institute Of Science Israel; Israel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina
Fil: Shemesh, Noam. Champalimaud Neuroscience Programme At The Champalimaud Centre For The Unknown; Portugal. Weizmann Institute Of Science Israel; Israel
Fil: Frydman, Lucio. Weizmann Institute Of Science Israel; Israel
Materia
NMR
MRI
Tissue microstructure
Diffusion weighted imaging
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/68159

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network_name_str CONICET Digital (CONICET)
spelling Internal gradient distributions: A susceptibility-derived tensor delivering morphologies by magnetic resonanceAlvarez, Gonzalo AgustinShemesh, NoamFrydman, LucioNMRMRITissue microstructureDiffusion weighted imaginghttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Nuclear 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.Fil: Alvarez, Gonzalo Agustin. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina. Weizmann Institute Of Science Israel; Israel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; ArgentinaFil: Shemesh, Noam. Champalimaud Neuroscience Programme At The Champalimaud Centre For The Unknown; Portugal. Weizmann Institute Of Science Israel; IsraelFil: Frydman, Lucio. Weizmann Institute Of Science Israel; IsraelNature Publishing Group2017-12-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/68159Alvarez, 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; 1-102045-2322CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-017-03277-9info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41598-017-03277-9info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:04:02Zoai:ri.conicet.gov.ar:11336/68159instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:04:03.143CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Internal gradient distributions: A susceptibility-derived tensor delivering morphologies by magnetic resonance
title Internal gradient distributions: A susceptibility-derived tensor delivering morphologies by magnetic resonance
spellingShingle Internal gradient distributions: A susceptibility-derived tensor delivering morphologies by magnetic resonance
Alvarez, Gonzalo Agustin
NMR
MRI
Tissue microstructure
Diffusion weighted imaging
title_short Internal gradient distributions: A susceptibility-derived tensor delivering morphologies by magnetic resonance
title_full Internal gradient distributions: A susceptibility-derived tensor delivering morphologies by magnetic resonance
title_fullStr Internal gradient distributions: A susceptibility-derived tensor delivering morphologies by magnetic resonance
title_full_unstemmed Internal gradient distributions: A susceptibility-derived tensor delivering morphologies by magnetic resonance
title_sort Internal gradient distributions: A susceptibility-derived tensor delivering morphologies by magnetic resonance
dc.creator.none.fl_str_mv Alvarez, Gonzalo Agustin
Shemesh, Noam
Frydman, Lucio
author Alvarez, Gonzalo Agustin
author_facet Alvarez, Gonzalo Agustin
Shemesh, Noam
Frydman, Lucio
author_role author
author2 Shemesh, Noam
Frydman, Lucio
author2_role author
author
dc.subject.none.fl_str_mv NMR
MRI
Tissue microstructure
Diffusion weighted imaging
topic NMR
MRI
Tissue microstructure
Diffusion weighted imaging
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
Fil: Alvarez, Gonzalo Agustin. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina. Weizmann Institute Of Science Israel; Israel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina
Fil: Shemesh, Noam. Champalimaud Neuroscience Programme At The Champalimaud Centre For The Unknown; Portugal. Weizmann Institute Of Science Israel; Israel
Fil: Frydman, Lucio. Weizmann Institute Of Science Israel; Israel
description 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.
publishDate 2017
dc.date.none.fl_str_mv 2017-12-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/68159
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
2045-2322
CONICET Digital
CONICET
url http://hdl.handle.net/11336/68159
identifier_str_mv 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
2045-2322
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-017-03277-9
info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41598-017-03277-9
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature Publishing Group
publisher.none.fl_str_mv Nature Publishing Group
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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