Multi-fiber tractography visualizations for diffusion MRI data.

In recent years, several new diffusion MRI approaches have been proposed to explore microstructural properties of the white matter, such as Q-ball imaging and spherical deconvolution-based techniques to estimate the orientation distribution function. These methods can describe the estimated diffusio...

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Autores principales:	Sjoerd B Vos, Max A Viergever, Alexander Leemans
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1e7bfa63c648413bb2141340d3ac99ee
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id	oai:doaj.org-article:1e7bfa63c648413bb2141340d3ac99ee
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spelling	oai:doaj.org-article:1e7bfa63c648413bb2141340d3ac99ee2021-11-18T08:44:48ZMulti-fiber tractography visualizations for diffusion MRI data.1932-620310.1371/journal.pone.0081453https://doaj.org/article/1e7bfa63c648413bb2141340d3ac99ee2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24282597/?tool=EBIhttps://doaj.org/toc/1932-6203In recent years, several new diffusion MRI approaches have been proposed to explore microstructural properties of the white matter, such as Q-ball imaging and spherical deconvolution-based techniques to estimate the orientation distribution function. These methods can describe the estimated diffusion profile with a higher accuracy than the more conventional second-rank diffusion tensor imaging technique. Despite many important advances, there are still inconsistent findings between different models that investigate the "crossing fibers" issue. Due to the high information content and the complex nature of the data, it becomes virtually impossible to interpret and compare results in a consistent manner. In this work, we present novel fiber tractography visualization approaches that provide a more complete picture of the microstructural architecture of fiber pathways: multi-fiber hyperstreamlines and streamribbons. By visualizing, for instance, the estimated fiber orientation distribution along the reconstructed tract in a continuous way, information of the local fiber architecture is combined with the global anatomical information derived from tractography. Facilitating the interpretation of diffusion MRI data, this approach can be useful for comparing different diffusion reconstruction techniques and may improve our understanding of the intricate white matter network.Sjoerd B VosMax A ViergeverAlexander LeemansPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 11, p e81453 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sjoerd B Vos Max A Viergever Alexander Leemans Multi-fiber tractography visualizations for diffusion MRI data.
description	In recent years, several new diffusion MRI approaches have been proposed to explore microstructural properties of the white matter, such as Q-ball imaging and spherical deconvolution-based techniques to estimate the orientation distribution function. These methods can describe the estimated diffusion profile with a higher accuracy than the more conventional second-rank diffusion tensor imaging technique. Despite many important advances, there are still inconsistent findings between different models that investigate the "crossing fibers" issue. Due to the high information content and the complex nature of the data, it becomes virtually impossible to interpret and compare results in a consistent manner. In this work, we present novel fiber tractography visualization approaches that provide a more complete picture of the microstructural architecture of fiber pathways: multi-fiber hyperstreamlines and streamribbons. By visualizing, for instance, the estimated fiber orientation distribution along the reconstructed tract in a continuous way, information of the local fiber architecture is combined with the global anatomical information derived from tractography. Facilitating the interpretation of diffusion MRI data, this approach can be useful for comparing different diffusion reconstruction techniques and may improve our understanding of the intricate white matter network.
format	article
author	Sjoerd B Vos Max A Viergever Alexander Leemans
author_facet	Sjoerd B Vos Max A Viergever Alexander Leemans
author_sort	Sjoerd B Vos
title	Multi-fiber tractography visualizations for diffusion MRI data.
title_short	Multi-fiber tractography visualizations for diffusion MRI data.
title_full	Multi-fiber tractography visualizations for diffusion MRI data.
title_fullStr	Multi-fiber tractography visualizations for diffusion MRI data.
title_full_unstemmed	Multi-fiber tractography visualizations for diffusion MRI data.
title_sort	multi-fiber tractography visualizations for diffusion mri data.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/1e7bfa63c648413bb2141340d3ac99ee
work_keys_str_mv	AT sjoerdbvos multifibertractographyvisualizationsfordiffusionmridata AT maxaviergever multifibertractographyvisualizationsfordiffusionmridata AT alexanderleemans multifibertractographyvisualizationsfordiffusionmridata
_version_	1718421369172000768

Multi-fiber tractography visualizations for diffusion MRI data.

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