Automated characterization of white matter lesions MDBRAIN

Initial diagnostics and monitoring of disease activity in Multiple Sclerosis and Dementia with one tool.

Evaluation of FLAIR and corresponding T1 sequences (2D or 3D)

Rapid, fully automated segmentation of white matter brain lesions.

Lesions are quantified in terms of number and volume in under 5 minutes. Characterisation includes regional assignment according to MAGNIMS/McDonald criteria and differentiation of new and enlarged lesions over time.

Supports you with the diagnostics & monitoring of

• Multiple sclerosis:
  • In the diagnostic setting: Automatic comparison with diagnostic criteria and norm values.
  • For therapeutic monitoring: Automatic detection and measurement of new and enlarged lesions.

• Dementia:
  • Complements classic scales, such as Fazekas score, with objective quantitative analyses.

Spatial distribution of lesions

Corresponding illustration of regional distribution of detected lesions according to MAGNIMS criteria.

This enables differentiation into MS-typical lesions and more atypical lesions in the deep white matter, which are also common in vascular processes.

Diagnostic follow-up at a glance

Tabular overview of lesion count and volume including regional distribution and norm value comparison.

Therapeutically relevant new and enlarged lesions are listed separately. A color-coded normative value comparison enables differentiation from normal age-related changes.