Creator | Title | Description | Subject | Date | ||
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![]() | Gerig, Guido | Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis | Diffusion tensor imaging (DTI) has become the major modality to study properties of white matter and the geometry of fiber tracts of the human brain. Clinical studies mostly focus on regional statistics of fractional anisotropy (FA) and mean diffusivity (MD) derived from tensors. Existing analysis t... | Diffusion tensor interpolation, Diffusion tensor statistics, DTI analysis, Fiber tract modeling | 2006-01-01 |
2 |
![]() | Gerig, Guido | Probabilistic white matter fiber tracking using, particle filtering and von mises-fisher sampling | Standard particle filtering technique have previously been applied to the problem of fiber tracking by Brun et al. (2002) and Bjornemo et al. (2002). However, these previous attempts have not utilised the full power of the technique, and as a result the fiber paths were tracked in a goal directed wa... | Diffusion tensor MRI; Tractography; Probabilistic fiber tracking; Particle filtering; von Mises-Fisher sampling | 2009-01-01 |
3 |
![]() | Gerig, Guido | Simulation of brain tumors in MR images for evaluation of segmentation efficacy. | Obtaining validation data and comparison metrics for segmentation of magnetic resonance images (MRI) are difficult tasks due to the lack of reliable ground truth. This problem is even more evident for images presenting pathology, which can both alter tissue appearance through infiltration and cause ... | Brain MRI; Segmentation validation; Tumor simulation; Simulation of tumor infiltration; Diffusion tensor imaging; Ground truth; Gold standard | 2009-01-01 |