Quantitative analysis along the pyramidal tract by length-normalized parameterization based on diffusion tensor tractography: Application to patients with relapsing neuromyelitis optica

Lin, Fuchun Joseph; Yu, Chunshui; Jiang, Tianzi; Li, Kuncheng; Li, Xiaobo; Qin, Wen; Sun, Hong; Chan, Piu

doi:10.1016/j.neuroimage.2006.03.055

Cited by 43 publications

(37 citation statements)

References 36 publications

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“…We refer to plots of the MR imaging indices, parametric in tract position, as "tract profiles." 12,16,21,22 In MS, these profiles differ significantly in shape, magnitude, and asymmetry from profiles derived from healthy controls. 12 Due to inconsistencies in placement of the MR imaging FOV, as well as image distortion and artifact in the lower brain stem, we were only able to obtain data from the entire medulla in 72 of 94 tracts.…”

Section: Tract Reconstructionmentioning

confidence: 94%

Corticospinal Tract Abnormalities Are Associated with Weakness in Multiple Sclerosis

Reich¹,

Zackowski²,

Gordon-Lipkin³

et al. 2008

American Journal of Neuroradiology

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BACKGROUND AND PURPOSE:The association of MR imaging abnormalities with clinical disability in multiple sclerosis (MS) has been disappointing. This association might be improved by imaging specific functional systems in the central nervous system-for example, the motor system in a patient with weakness. Our aim was to assess the relationship between muscle strength in MS and corticospinal tract (CST) abnormalities detected with multimodality MR imaging of the brain.

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Section: Tract Reconstructionmentioning

confidence: 94%

Corticospinal Tract Abnormalities Are Associated with Weakness in Multiple Sclerosis

Reich¹,

Zackowski²,

Gordon-Lipkin³

et al. 2008

American Journal of Neuroradiology

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“…In the case of an exploratory study, voxel-based analysis (VBA) [Foong et al, 2002;Medina et al, 2006;Rose et al, 2006] and tract-based spatial statistics (TBSS) [Smith et al, 2006] of diffusion data are two main methods used to localize white matter changes in a whole brain manner. Once the abnormal white matter is localized or pre-specified, regions of interest (ROI) or tractography-based analysis could be performed to investigate the changes of diffusion indices inside these abnormal brain regions [Alexander et al, 2007;Lin et al, 2006].…”

Section: Introductionmentioning

confidence: 99%

Abnormal diffusion of cerebral white matter in early blindness

Shu

et al. 2007

Human Brain Mapping

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Early visual deprivation may lead to both abnormal and plastic changes in the visual and other systems of the brain. Such secondary changes in the gray matter of the early blind have been well studied, but not so well in the cerebral white matter whose subtle changes may be revealed by diffusion tensor imaging. The first purpose of this study is to explore the possible changed white matter regions of the early blind in whole brain manners, using voxel-based analysis (VBA) and tract-based spatial statistics (TBSS) methods. The second purpose is to investigate the changes of diffusion eigenvalues in the abnormal white matter fiber tracts using tractography based group mapping analysis. From VBA of fractional anisotropy (FA) images, the significant changed white matter regions were the geniculocalcarine tract (GCT) and its adjacent regions. This finding was validated by TBSS method. Then we studied the changes of mean diffusivity (MD), FA, primary (k 1 ) and transverse diffusivities (k 23 ) in the GCT using tractography based group mapping analysis. We found the early blind had significantly lower FA (P < 0.0001), higher MD (P 5 0.001) and k 23 (P < 0.0001) in the GCT. This pattern of diffusion changes is similar to findings seen in immaturity or axonal degeneration. Thus, we suggest that transneuronal degeneration and/or immaturity may account for the abnormal diffusion changes in the GCT of the early blind.

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“…The white matter fiber tracts are reconstructed from DTI datasets using a class of techniques called tractography [2], [3], [4]. DTI and white matter tractography have been used in advancing our understanding of anatomical connectivity and functional coupling between regions of the brain, as well as in clinical applications such as neurosurgery planning and brain disorder diagnosis [5], [6], [7], [8].…”

Section: Iffusion Tensor Imaging (Dti) Is a Structural Magnetic Resmentioning

confidence: 99%

Shape modeling and clustering of white matter fiber tracts using fourier descriptors

Liang

Cao

et al. 2009

2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology

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Abstract-Reliable shape modeling and clustering of white matter fiber tracts is essential for clinical and anatomical studies that use diffusion tensor imaging (DTI) tractography techniques. In this work we present a novel scheme to model the shape of white matter fiber tracts reconstructed from DTI and cluster them into bundles using Fourier descriptors. We characterize a tract's shape by using Fourier descriptors which are effective in capturing shape properties of fiber tracts. Fourier descriptors derived from different shape signatures are analyzed. Clustering is then performed on these multidimensional features in conjunction with mass centers using a k-means like threshold based approach. The advantage of this method lies in the fact that Fourier descriptors achieve spatial independent representation and normalization of white matter fiber tracts which makes it useful for tract comparison across subjects. It also eliminates the need to find matching correspondences between two randomly organized tracts from whole brain tracking. Several issues related to tract shape representation and normalization are also discussed. Real DTI datasets are used to test this technique. Experiment results show that this technique can effectively separate multiple fascicles into plausible bundles.

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Quantitative analysis along the pyramidal tract by length-normalized parameterization based on diffusion tensor tractography: Application to patients with relapsing neuromyelitis optica

Cited by 43 publications

References 36 publications

Corticospinal Tract Abnormalities Are Associated with Weakness in Multiple Sclerosis

Corticospinal Tract Abnormalities Are Associated with Weakness in Multiple Sclerosis

Abnormal diffusion of cerebral white matter in early blindness

Shape modeling and clustering of white matter fiber tracts using fourier descriptors

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