Difference between revisions of "2014 Summer Project Week:LongitudinalSeg"
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| − | + | * Deploy a shape analysis tool for large-scale multi center data processing | |
| + | * Apply & validate the tool on longitudinal data sample (BRAINSCut Segmentation) | ||
| + | ** extension of tests to MABMIS results | ||
| + | ** extension of tests to MALF (ANTs) results | ||
| + | * Visual comparison of shape analysis. | ||
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Revision as of 19:04, 23 June 2014
Home < 2014 Summer Project Week:LongitudinalSeg
Key Investigators
- Iowa: Regina Kim
- Iowa: Hans Johnson
- Utah: James Fishbaugh
- Utah: Guido Gerig
Project Description
Objective
Longitudinal imaging studies involve tracking changes in individuals by repeated image acquisition over time. The goal of these studies is to quantify biological shape variability within and across individuals, and also to distinguish between normal and disease populations. However, data variability is influenced by outside sources such as image acquisition, image calibration, human expert judgement, and limited robustness of segmentation and registration algorithms.
Approach, Plan
- Deploy a shape analysis tool for large-scale multi center data processing
- Apply & validate the tool on longitudinal data sample (BRAINSCut Segmentation)
- extension of tests to MABMIS results
- extension of tests to MALF (ANTs) results
- Visual comparison of shape analysis.
