Difference between revisions of "Algorithm:Utah2"
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= Overview of Utah 2 Algorithms (PI: Guido Gerig) = | = Overview of Utah 2 Algorithms (PI: Guido Gerig) = | ||
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| − | == [[Projects: | + | == [[Projects:DTINoiseStatistics|Influence of Imaging Noise on DTI Statistics]] == |
| − | + | Clinical acquisition of diffusion weighted images with high signal to noise ratio remains a challenge. The goal of this project is to understand the impact of MR noise on quantiative statistics of diffusion properties such as anisotropy measures, trace, etc. [[Projects:DTINoiseStatistics|More...]] | |
| − | <font color="red">'''New: '''</font> | + | <font color="red">'''New: '''</font> Casey Goodlett, P. Thomas Fletcher, Weili Lin, Guido Gerig. Quantification of measurement error in DTI: Theoretical predictions and validation, MICCAI 2007. |
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| − | == [[Projects: | + | == [[Projects:LesionSegmentation|Lesion Segmentation]] == |
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| − | + | To be filled in. [[Projects:LesionSegmentation|More...]] | |
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Revision as of 15:48, 24 June 2008
Home < Algorithm:Utah2Back to NA-MIC Algorithms
Overview of Utah 2 Algorithms (PI: Guido Gerig)
At Utah, we are interested in a range of algorithms and solutions for the analysis of DTI and the segmentation of lupus lesions.
Utah 2 Projects
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Population Analysis from Deformable RegistrationAnalysis of populations of diffusion images typically requires time-consuming manual segmentation of structures of interest to obtain correspondance for statistics. This project uses non-rigid registration of DTI images to produce a common coordinate system for hypothesis testing of diffusion properties. More... New: Command line DTI tools available as part of UNC NeuroLib |
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Influence of Imaging Noise on DTI StatisticsClinical acquisition of diffusion weighted images with high signal to noise ratio remains a challenge. The goal of this project is to understand the impact of MR noise on quantiative statistics of diffusion properties such as anisotropy measures, trace, etc. More... New: Casey Goodlett, P. Thomas Fletcher, Weili Lin, Guido Gerig. Quantification of measurement error in DTI: Theoretical predictions and validation, MICCAI 2007. |
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Lesion SegmentationTo be filled in. More... |
