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| Creator | Title | Description | Subject | Date | ||
|---|---|---|---|---|---|---|
| 1 |
 | Gerig, Guido | Diffusion imaging quality control via entropy of principal direction distribution | Diffusion MR imaging has received increasing attention in the neuroimaging community, as it yields new insights into the microstructural organization of white matter that are not available with conventional MRI techniques. While the technology has enormous potential, diffusion MRI suffers from a uni... | Diffusion magnetic resonance imaging; Diffusion tensor imaging; Quality assessment; Entropy | 2013-01-01 |
| 2 |
| Gerig, Guido | Group analysis of DTI fiber tract statistics with application to neurodevelopment | Diffusion tensor imaging (DTI) provides a unique source of information about the underlying tissue structure of brain white matter in vivo including both the geometry of major fiber bundles as well as quantitative information about tissue properties represented by derived tensor measures. This paper... | Diffusion tensor imaging; Registration; Tract modeling; Neurodevelopment; Statistical modeling | 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 |
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