Searching for authors named "Jennifer Campbell" – sorted by Relevance.
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3D Curve Inference for Diffusion MRI Regularization
- We develop a differential geometric framework for regularizing diffusion MRI data. The key idea is to model white matter fibers as 3D space curves and to then extend Parent and Zucker's 2D curve inference approach [8] by using a notion of co-helicity to indicate compatibility between fibre orientati
- Cited by 3 (1 self) – Add To MetaCart
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White Matter Fibre Tract Likelihood Evaluated using Normalized RMS Diffusion Distance
- Introduction Many algorithms have been proposed for tracking white matter fibres using the principle eigenvector of the diffusion tensor. These approaches can fail when fibres cross or branch at a subvoxel scale. We present a modification of existing tracking schemes that allows for subvoxel branch
- Cited by 2 (1 self) – Add To MetaCart
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Streamline Flows for White Matter Fibre Pathway Segmentation in Diffusion MRI
- Abstract. We introduce a fibre tract segmentation algorithm based on the geometric coherence of fibre orientations as indicated by a streamline flow model. The inference of local flow approximations motivates a pairwise consistency measure between fibre ODF maxima. We use this measure in a recursive
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Flow-Based Fiber Tracking With Diffusion Tensor and Q-Ball Data:
- this paper, we extend our previously proposed flow-based fiber tracking approaches (Campbell et al., 2002a,b) in order to use the information in the full diffusion pdf estimated using either HARD or DT techniques. This algorithm is a modification and extension of the Fast Marching Tractography (FMT)
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A Geometric Flow For White Matter Fibre Tract Reconstruction
- In magnetic resonance diffusion tensor imaging (DTI), the direction and magnitude of diffusion of water molecules is characterized by a diffusion tensor. In the central nervous system, the highly organized fibre structure of white matter fibre tracts causes the diffusion to be anisotropic. From the
- Cited by 8 (1 self) – Add To MetaCart

