Estimating the confidence level of white matter connections obtained with MRI tractography.

<h4>Background</h4>Since the emergence of diffusion tensor imaging, a lot of work has been done to better understand the properties of diffusion MRI tractography. However, the validation of the reconstructed fiber connections remains problematic in many respects. For example, it is diffi...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Xavier Gigandet, Patric Hagmann, Maciej Kurant, Leila Cammoun, Reto Meuli, Jean-Philippe Thiran
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2008
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e0da5d571386407dac0ba1c2a760f30d
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:e0da5d571386407dac0ba1c2a760f30d
record_format	dspace
spelling	oai:doaj.org-article:e0da5d571386407dac0ba1c2a760f30d2021-11-25T06:18:05ZEstimating the confidence level of white matter connections obtained with MRI tractography.1932-620310.1371/journal.pone.0004006https://doaj.org/article/e0da5d571386407dac0ba1c2a760f30d2008-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19104666/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Since the emergence of diffusion tensor imaging, a lot of work has been done to better understand the properties of diffusion MRI tractography. However, the validation of the reconstructed fiber connections remains problematic in many respects. For example, it is difficult to assess whether a connection is the result of the diffusion coherence contrast itself or the simple result of other uncontrolled parameters like for example: noise, brain geometry and algorithmic characteristics.<h4>Methodology/principal findings</h4>In this work, we propose a method to estimate the respective contributions of diffusion coherence versus other effects to a tractography result by comparing data sets with and without diffusion coherence contrast. We use this methodology to assign a confidence level to every gray matter to gray matter connection and add this new information directly in the connectivity matrix.<h4>Conclusions/significance</h4>Our results demonstrate that whereas we can have a strong confidence in mid- and long-range connections obtained by a tractography experiment, it is difficult to distinguish between short connections traced due to diffusion coherence contrast from those produced by chance due to the other uncontrolled factors of the tractography methodology.Xavier GigandetPatric HagmannMaciej KurantLeila CammounReto MeuliJean-Philippe ThiranPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 3, Iss 12, p e4006 (2008)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Xavier Gigandet Patric Hagmann Maciej Kurant Leila Cammoun Reto Meuli Jean-Philippe Thiran Estimating the confidence level of white matter connections obtained with MRI tractography.
description	<h4>Background</h4>Since the emergence of diffusion tensor imaging, a lot of work has been done to better understand the properties of diffusion MRI tractography. However, the validation of the reconstructed fiber connections remains problematic in many respects. For example, it is difficult to assess whether a connection is the result of the diffusion coherence contrast itself or the simple result of other uncontrolled parameters like for example: noise, brain geometry and algorithmic characteristics.<h4>Methodology/principal findings</h4>In this work, we propose a method to estimate the respective contributions of diffusion coherence versus other effects to a tractography result by comparing data sets with and without diffusion coherence contrast. We use this methodology to assign a confidence level to every gray matter to gray matter connection and add this new information directly in the connectivity matrix.<h4>Conclusions/significance</h4>Our results demonstrate that whereas we can have a strong confidence in mid- and long-range connections obtained by a tractography experiment, it is difficult to distinguish between short connections traced due to diffusion coherence contrast from those produced by chance due to the other uncontrolled factors of the tractography methodology.
format	article
author	Xavier Gigandet Patric Hagmann Maciej Kurant Leila Cammoun Reto Meuli Jean-Philippe Thiran
author_facet	Xavier Gigandet Patric Hagmann Maciej Kurant Leila Cammoun Reto Meuli Jean-Philippe Thiran
author_sort	Xavier Gigandet
title	Estimating the confidence level of white matter connections obtained with MRI tractography.
title_short	Estimating the confidence level of white matter connections obtained with MRI tractography.
title_full	Estimating the confidence level of white matter connections obtained with MRI tractography.
title_fullStr	Estimating the confidence level of white matter connections obtained with MRI tractography.
title_full_unstemmed	Estimating the confidence level of white matter connections obtained with MRI tractography.
title_sort	estimating the confidence level of white matter connections obtained with mri tractography.
publisher	Public Library of Science (PLoS)
publishDate	2008
url	https://doaj.org/article/e0da5d571386407dac0ba1c2a760f30d
work_keys_str_mv	AT xaviergigandet estimatingtheconfidencelevelofwhitematterconnectionsobtainedwithmritractography AT patrichagmann estimatingtheconfidencelevelofwhitematterconnectionsobtainedwithmritractography AT maciejkurant estimatingtheconfidencelevelofwhitematterconnectionsobtainedwithmritractography AT leilacammoun estimatingtheconfidencelevelofwhitematterconnectionsobtainedwithmritractography AT retomeuli estimatingtheconfidencelevelofwhitematterconnectionsobtainedwithmritractography AT jeanphilippethiran estimatingtheconfidencelevelofwhitematterconnectionsobtainedwithmritractography
_version_	1718413957509677056

Estimating the confidence level of white matter connections obtained with MRI tractography.

Ejemplares similares