White matter tractography using diffusion tensor deflection

Lazar, Mariana; Weinstein, David M.; Tsuruda, Jay S.; Hasan, Khader M.; Arfanakis, Konstantinos; Meyerand, M. Elizabeth; Badie, Benham; Rowley, Howard A.; Haughton, Victor M.; Field, Aaron S.; Alexander, Andrew L.

doi:10.1002/hbm.10102

Cited by 532 publications

(400 citation statements)

References 34 publications

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“…We used a regularized streamline algorithm to reconstruct tracts emerging from seed masks on a voxel-by-voxel basis. 44 This strategy, similar to diffusion tensor deflection, 45 overcomes simple crossing configurations. At each voxel, two parameters were used to get the direction of the resulting tract: the tensor biggest eigenvectors directions with a weight of a (a representing local anisotropy) and inertia (that is, the incident direction of the tract) with a weight of 1Àa.…”

Section: Data Analysesmentioning

confidence: 99%

Increased white matter connectivity in euthymic bipolar patients: diffusion tensor tractography between the subgenual cingulate and the amygdalo-hippocampal complex

et al. 2007

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Bipolar disorder has been associated with anatomical as well as functional abnormalities in a brain network that mediates normal and impaired emotion regulation. Previous brain imaging studies have highlighted the subgenual cingulate (SC) and the amygdalo-hippocampal (AH) complex as core regions of this network. Thus we investigated white matter (WM) fiber tracts between the SC and the AH region, the uncinate fasciculus, as well as between two control regions (pons and cerebellum), using diffusion tensor imaging tractography in 16 euthymic bipolar patients (BP) and 16 sex-, age-and handedness-matched controls. Fractional anisotropy (FA) and apparent diffusion coefficient (ADC) of the reconstructed fiber bundle and the number of virtual reconstructed fibers were compared between groups. The tractography results revealed a significantly increased number of reconstructed fibers between the left SC and left AH in BP as compared to healthy controls. FA and ADC of the reconstructed fiber tract did not differ significantly between the groups. Furthermore, no significant group differences were observed neither for reconstructed fiber tracts between the right SC and right AH nor between the control regions. The present results suggest an altered WM pathway between the left SC and AH region and thus extend previous findings of anatomical and functional modifications in these structures in BP.

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Section: Data Analysesmentioning

confidence: 99%

Increased white matter connectivity in euthymic bipolar patients: diffusion tensor tractography between the subgenual cingulate and the amygdalo-hippocampal complex

et al. 2007

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“…The fiber-tracking algorithm used in our study is similar to the method proposed by Lazar et al [2003]. Briefly, a 2-D seed region including the fascicules of interest was first placed manually and seed points were defined in this region.…”

Section: Tractographymentioning

confidence: 99%

“…The other section of the tract passing through these seed points in the opposite direction was then reconstructed according to the same procedure. The algorithm parameters were as follows: deflection operator n ϭ 2; Lazar et al 2003]); and f ϭ 0.5, g ϭ 0.5 (equation [4] of Lazar et al [2003]). Color-coded tensor image [Pajevic and Pierpaoli, 1999] could provide rough information to distinguish different white fibers, and for this reason it was used to specify the seed regions.…”

Section: Tractographymentioning

confidence: 99%

Asymmetry analysis of cingulum based on scale‐invariant parameterization by diffusion tensor imaging

Gong

Jiang

Zhu

et al. 2004

Human Brain Mapping

142

100

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Current analysis of diffusion tensor imaging (DTI) is based mostly on a region of interest (ROI) in an image dataset, which is specified by users. This method is not always reliable, however, because of the uncertainty of manual specification. We introduce an improved fiber-based scheme rather than an ROI-based analysis to study in DTI datasets of 31 normal subjects the asymmetry of the cingulum, which is one of the most prominent white matter fiber tracts of the limbic system. The present method can automatically extract the quantitative anisotropy properties along the cingulum bundles from tractography. Moreover, statistical analysis was carried out after anatomic correspondence specific to the cingulum across subjects was established, rather than the traditional whole-brain registration. The main merit of our method compared to existing counterparts is that to find such anatomic correspondence in cingulum, a scale-invariant parameterization method by arc-angle was proposed. It can give a continuous and exact description on any segment of cingulum. More interestingly, a significant left-greater-than-right asymmetry pattern was obtained in most segments of cingulum bundle (Ϫ50 -25 degrees), except in the most posterior portion of cingulum (25-50 degrees). Hum Brain Mapp 24:92-98, 2005.

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“…They all involve the use of the entire tensor information. For instance the tensor is used in [26,9] to deflect the estimated fiber trajectory leading to the reconstruction of "tensorlines". Another approach considers the tensor field as a Riemannian manifold and the fibers as some geodesics of this manifold [10].…”

Section: Probabilistic Tracking and Curvature Regularizationmentioning

confidence: 99%

Fiber Tracking in q-Ball Fields Using Regularized Particle Trajectories

Perrin

Poupon

Yann

et al. 2005

Lecture Notes in Computer Science

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Abstract. Most of the approaches dedicated to fiber tracking from diffusionweighted MR data rely on a tensor model. However, the tensor model can only resolve a single fiber orientation within each imaging voxel. New emerging approaches have been proposed to obtain a better representation of the diffusion process occurring in fiber crossing. In this paper, we adapt a tracking algorithm to the q-ball representation, which results from a spherical Radon transform of high angular resolution data. This algorithm is based on a Monte-Carlo strategy, using regularized particle trajectories to sample the white matter geometry. The method is validated using a phantom of bundle crossing made up of haemodialysis fibers. The method is also applied to the detection of the auditory tract in three human subjects.

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White matter tractography using diffusion tensor deflection

Cited by 532 publications

References 34 publications

Increased white matter connectivity in euthymic bipolar patients: diffusion tensor tractography between the subgenual cingulate and the amygdalo-hippocampal complex

Increased white matter connectivity in euthymic bipolar patients: diffusion tensor tractography between the subgenual cingulate and the amygdalo-hippocampal complex

Asymmetry analysis of cingulum based on scale‐invariant parameterization by diffusion tensor imaging

Fiber Tracking in q-Ball Fields Using Regularized Particle Trajectories

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