• Detects magnetic dipoles in MRI datasets
  • Automatically masks out noise by fitting magnitude image to Rician & Gaussian distribution
  • Estimates magnetic dipole moment for detected dipoles
  • Eliminates unreasonable dipole moments (e.g., too-weak dipoles found in noise, or too-strong dipoles found in air bubbles)
  • Works with non-isotropic datasets
  • Processes multiple datasets, comparing dipoles quantitatively across them
  • Calculates number of dipoles vs. distance from regions of interest (ROIs)
  • Experimental: Estimates iron content within magnetic dipoles
  • Experimental: Registers dipoles between different time points
  • Experimental: Estimates dipole movements between different time points
  • Experimental: Estimate 'best-fit' sphere radius for each dipole.
  • Advanced: Detection templates: Detect dipoles located off-center of voxel boundaries; Simulate randomly-distributed spins to eliminate aliasing.

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Intended Audience

Healthcare Industry, Science/Research, Education, Advanced End Users, Engineering

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