Diffusion-weighted imaging (DWI) is a powerful MRI method which probes abnormalities of tissue structure by detecting microscopic changes in water mobility at a cellular level beyond what is available with other imaging methods. Accordingly, DWI has the potential to identify pathology before gross anatomic changes are evident on standard anatomical brain images. These features of tissue characterization and earlier detection are what make DWI particularly appealing for the evaluation of gliomas and the newer therapies where standard anatomical imaging is proving insufficient.

IB Diffusion™ analyzes MR diffusion-weighted images (DWI) and generates Apparent Diffusion Coefficient (ADC) maps, extrapolated b-value, intravoxel inherent motion (IVIM), and other diffusion parameters.

Key Features

  • b values can be read directly from DICOM image headers
  • The standard two-point ADC calculation (ADC = ln(So/S1)/(b1-b0)) is implemented
  • Linear regression is used to calculate ADC maps with more than two volumes, each with a unique b value
  • ADC values can be normalized using the mean value from a region of interest (ROI)
  • All calculations are done with the push of simple and intuitive buttons with manual override capability
  • New calculated images are automatically exported as new DICOM series and can be easily pushed to a PACS
  • Automatic report generation in form of a DICOM series that can be exported

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