DIPY (Diffusion Imaging in Python)

Step 1: Pre-process diffusion MRI data from Alzheimer's patients and healthy controls.

Step 2: Reconstruct diffusion tensors or fiber orientation distributions using DIPY.

Step 3: Perform tractography to reconstruct white matter pathways.

Step 4: Quantify connectivity metrics (e.g., fiber density, fractional anisotropy) along specific pathways.

Step 5: Compare connectivity metrics between Alzheimer's patients and controls to identify significant differences.

Step 6: Correlate connectivity changes with cognitive scores to assess the relationship between white matter integrity and cognitive decline.

Step 1: Acquire diffusion MRI data from children at different ages.

Step 2: Pre-process the data to correct for motion and distortions.

Step 3: Reconstruct diffusion models using appropriate techniques for pediatric data.

Step 4: Perform tractography to delineate major white matter pathways.

Step 5: Measure diffusion metrics (FA, MD, etc.) along these pathways.

Step 6: Analyze the changes in these metrics with age to characterize white matter development.

Step 1: Acquire diffusion MRI data from stroke patients at different time points post-stroke.

Step 2: Pre-process data and correct for artifacts.

Step 3: Reconstruct diffusion tensors or fiber orientation distributions.

Step 4: Perform lesion segmentation to identify the area of stroke-induced damage.

Step 5: Conduct tractography to examine the integrity of white matter tracts around the lesion.

Step 6: Analyze changes in diffusion metrics and connectivity patterns to assess white matter recovery.

Step 1: Acquire diffusion MRI data along with structural MRI.

Step 2: Segment the brain tumor.

Step 3: Reconstruct diffusion tensors or FODs.

Step 4: Perform tractography to reconstruct nearby white matter tracts.

Step 5: Visualize the tumor and white matter tracts in 3D to assess their spatial relationship.

Step 6: Provide the neurosurgeon with a map of critical tracts to guide surgical planning and minimize damage.

Step 1: Acquire diffusion MRI data from MS patients and controls.

Step 2: Pre-process the data to correct for motion and distortions.

Step 3: Reconstruct diffusion models.

Step 4: Measure diffusion metrics (FA, MD, etc.)

Step 5: Compare diffusion metrics in MS patients and controls

Step 6: Analyze changes of metrics with age to characterize white matter degeneration.