MR Color Mapping of Myelin Fiber Orientation

Douek, Philippe; Turner, Robert; Pekar, James J.; Patronas, N J; Bihan, Denis Le

doi:10.1097/00004728-199111000-00003

Cited by 238 publications

(127 citation statements)

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“…Past and current state of the art Diffusion-weighted magnetic resonance imaging (MRI), received strong attention for the first time in the early 90s as it proved to be a sensitive biomarker for acute stroke (Moseley et al, 1990). The second reason diffusion imaging came to attention, was because it was observed that not only does white matter exhibit reliable anisotropic properties (Basser et al, 1994;Douek et al, 1991) but that it is indeed possible to infer fiber tract trajectories on the basis of these patterns (Conturo et al, 1999;Mori et al, 1999;Wedeen, 1996). Diffusion Tensor Imaging and tractography was born.…”

Section: Mapping the Connectome With Mrimentioning

confidence: 99%

MR connectomics: Principles and challenges

Hagmann

Cammoun

Gigandet

et al. 2010

Journal of Neuroscience Methods

255

207

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a b s t r a c t MR connectomics is an emerging framework in neuro-science that combines diffusion MRI and whole brain tractography methodologies with the analytical tools of network science. In the present work we review the current methods enabling structural connectivity mapping with MRI and show how such data can be used to infer new information of both brain structure and function. We also list the technical challenges that should be addressed in the future to achieve high-resolution maps of structural connectivity. From the resulting tremendous amount of data that is going to be accumulated soon, we discuss what new challenges must be tackled in terms of methods for advanced network analysis and visualization, as well data organization and distribution. This new framework is well suited to investigate key questions on brain complexity and we try to foresee what fields will most benefit from these approaches.

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Section: Mapping the Connectome With Mrimentioning

confidence: 99%

MR connectomics: Principles and challenges

Hagmann

Cammoun

Gigandet

et al. 2010

Journal of Neuroscience Methods

255

207

View full text Add to dashboard Cite

show abstract

“…Diffusion tensor imaging (DTI) has the potential to improve the localization information of white matter lesions because it can reveal detailed anatomy of the white matter (Douek et al, 1991;Basser et al, 1994;Nakada and Matsuzawa, 1995;Makris et al, 1997;Pajevic and Pierpaoli, 1999;Stieltjes et al, 2001;Catani et al, 2002;Mori et al, 2002;Jellison et al, 2004;Wakana et al, 2004;Mori et al, 2005). Based on fiber orientation information obtained from DTI, we can identify the locations of various axonal bundles.…”

Section: Introductionmentioning

confidence: 99%

Tract probability maps in stereotaxic spaces: Analyses of white matter anatomy and tract-specific quantification

et al. 2008

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Diffusion tensor imaging (DTI) is an exciting new MRI modality that can reveal detailed anatomy of the white matter. DTI also allows us to approximate the 3D trajectories of major white matter bundles. By combining the identified tract coordinates with various types of MR parameter maps, such as T 2 and diffusion properties, we can perform tract-specific analysis of these parameters. Unfortunately, 3D tract reconstruction is marred by noise, partial volume effects, and complicated axonal structures. Furthermore, changes in diffusion anisotropy under pathological conditions could alter the results of 3D tract reconstruction. In this study, we created a white matter parcellation atlas based on probabilistic maps of 11 major white matter tracts derived from the DTI data from 28 normal subjects. Using these probabilistic maps, automated tract-specific quantification of fractional anisotropy and mean diffusivity were performed. Excellent correlation was found between the automated and the individual tractography-based results. This tool allows efficient initial screening of the status of multiple white matter tracts.

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“…[19][20][21][22] As first shown by Basser et al, 4 the diffusion ellipsoid obtained from DTI can not only provide a quantitative orientation-independent measure of diffusion anisotropy, 23,24 but also the predominant direction of water diffusion in image voxels. [25][26][27] However, it was not until the end of the decade and the beginning of the new millenium that the first successful in vivo fiber tracking results were published. [28][29][30][31][32][33][34][35][36][37][38][39][40][41][42] The reason for this time lag between the availability of the tensor diagonalization techniques that provide the vector information and the actual mapping of the fibers is due to the inherent complexity of connecting these macroscopic voxel-based vectors in a reproducible three-dimensional manner.…”

Section: Introductionmentioning

confidence: 99%

Fiber tracking: principles and strategies – a technical review

2002

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The state of the art of reconstruction of the axonal tracts in the central nervous system (CNS) using diffusion tensor imaging (DTI) is reviewed. This relatively new technique has generated much enthusiasm and high expectations because it presently is the only approach available to non-invasively study the three-dimensional architecture of white matter tracts. While there is no doubt that DTI fiber tracking is providing exciting new opportunities to study CNS anatomy, it is very important to understand its limitations. In this review we therefore assess the basic principles and the assumptions that need to be made for each step of the study, including both data acquisition and the elaborate fiber reconstruction algorithms. Special attention is paid to situations where complications may arise, and possible solutions are reviewed. Validation issues and potential future directions and improvements are also discussed.

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MR Color Mapping of Myelin Fiber Orientation

Cited by 238 publications

References 0 publications

MR connectomics: Principles and challenges

MR connectomics: Principles and challenges

Tract probability maps in stereotaxic spaces: Analyses of white matter anatomy and tract-specific quantification

Fiber tracking: principles and strategies – a technical review

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