Non-Gaussian diffusion imaging: a brief practical review

The departure from purely mono-exponential decay of the signal, as observed from brain tissue following a diffusion-sensitized sequence, has prompted the search for alternative models to characterize these unconventional water diffusion dynamics. Several approaches have been proposed in the last few...

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Detalles Bibliográficos
Autores: De Santis, Silvia, Gabrielli, A., Palombo, Marco, Maraviglia, B., Capuani, S.
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2011
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/377667
Acceso en línea:http://hdl.handle.net/10261/377667
https://api.elsevier.com/content/abstract/scopus_id/82455188087
Access Level:acceso abierto
Palabra clave:Anomalous diffusion
DKI
DTI
Non-Gaussian diffusion
Stretched-exponential model
Water diffusion
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spelling Non-Gaussian diffusion imaging: a brief practical reviewDe Santis, SilviaGabrielli, A.Palombo, MarcoMaraviglia, B.Capuani, S.Anomalous diffusionDKIDTINon-Gaussian diffusionStretched-exponential modelWater diffusionThe departure from purely mono-exponential decay of the signal, as observed from brain tissue following a diffusion-sensitized sequence, has prompted the search for alternative models to characterize these unconventional water diffusion dynamics. Several approaches have been proposed in the last few years. While multi-exponential models have been applied to characterize brain tissue, several unresolved controversies about the interpretations of the results have motivated the search for alternative models that do not rely on the Gaussian diffusion hypothesis. In this brief review, diffusional kurtosis imaging (DKI) and anomalous diffusion imaging (ADI) techniques are addressed and compared with diffusion tensor imaging. Theoretical and experimental issues are briefly described to allow readers to understand similarities, differences and limitations of these two non-Gaussian models. However, since the ultimate goal is to improve specificity, sensitivity and spatial localization of diffusion MRI for the detection of brain diseases, special attention will be paid on the clinical feasibility of the proposed techniques as well as on the context of brain pathology investigations.Peer reviewedElsevierDe Santis, Silvia [0000-0001-9739-6926]202520252011info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_dcae04bcPostprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/377667https://api.elsevier.com/content/abstract/scopus_id/82455188087reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.1016/j.mri.2011.04.006Noinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3776672026-05-22T06:33:51Z
dc.title.none.fl_str_mv Non-Gaussian diffusion imaging: a brief practical review
title Non-Gaussian diffusion imaging: a brief practical review
spellingShingle Non-Gaussian diffusion imaging: a brief practical review
De Santis, Silvia
Anomalous diffusion
DKI
DTI
Non-Gaussian diffusion
Stretched-exponential model
Water diffusion
title_short Non-Gaussian diffusion imaging: a brief practical review
title_full Non-Gaussian diffusion imaging: a brief practical review
title_fullStr Non-Gaussian diffusion imaging: a brief practical review
title_full_unstemmed Non-Gaussian diffusion imaging: a brief practical review
title_sort Non-Gaussian diffusion imaging: a brief practical review
dc.creator.none.fl_str_mv De Santis, Silvia
Gabrielli, A.
Palombo, Marco
Maraviglia, B.
Capuani, S.
author De Santis, Silvia
author_facet De Santis, Silvia
Gabrielli, A.
Palombo, Marco
Maraviglia, B.
Capuani, S.
author_role author
author2 Gabrielli, A.
Palombo, Marco
Maraviglia, B.
Capuani, S.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv De Santis, Silvia [0000-0001-9739-6926]
dc.subject.none.fl_str_mv Anomalous diffusion
DKI
DTI
Non-Gaussian diffusion
Stretched-exponential model
Water diffusion
topic Anomalous diffusion
DKI
DTI
Non-Gaussian diffusion
Stretched-exponential model
Water diffusion
description The departure from purely mono-exponential decay of the signal, as observed from brain tissue following a diffusion-sensitized sequence, has prompted the search for alternative models to characterize these unconventional water diffusion dynamics. Several approaches have been proposed in the last few years. While multi-exponential models have been applied to characterize brain tissue, several unresolved controversies about the interpretations of the results have motivated the search for alternative models that do not rely on the Gaussian diffusion hypothesis. In this brief review, diffusional kurtosis imaging (DKI) and anomalous diffusion imaging (ADI) techniques are addressed and compared with diffusion tensor imaging. Theoretical and experimental issues are briefly described to allow readers to understand similarities, differences and limitations of these two non-Gaussian models. However, since the ultimate goal is to improve specificity, sensitivity and spatial localization of diffusion MRI for the detection of brain diseases, special attention will be paid on the clinical feasibility of the proposed techniques as well as on the context of brain pathology investigations.
publishDate 2011
dc.date.none.fl_str_mv 2011
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_dcae04bc
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/377667
https://api.elsevier.com/content/abstract/scopus_id/82455188087
url http://hdl.handle.net/10261/377667
https://api.elsevier.com/content/abstract/scopus_id/82455188087
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.1016/j.mri.2011.04.006
No
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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