Neurodegeneration.
Artificial intelligence for detection of abnormal brain-volume and NPH
Artificial intelligence for detection of abnormal brain-volume and NPH
- Fully automated whole-brain-volumetry
- Comparison with a norm-database an presentation of z-score overlays
- Automated detection of typical atrophy-patterns
- Machine-learning to detect probability of NPH (normo-pressure-hydrocephalus)
- Presentation of all relevant information in one comprehensive report
Contact us for a free demo!
Product details
The VEOmorph report.
Everything at one glance
Everything at one glance
Patient: Male, 69 J.
Pathological clinical values for semantic and phonematic fluency, denomination, verbal memory with intact figural memory.
neuroradiological finding: Typical atrophy-pattern (left temporo-polar) for semantic dementia (svPPA) as subform of FTLD.
- Automated presentation of relevant standard slices for visual assessment.
- Scale of z-score maps. Red to yellow: abnormal extension of inner and outer CSF spaces ) Dark to light blue: abnormal reduction of gray-matter.
- Presentation of z-score maps as overlay.
- List of brain-regions with abnormal brain volumes.
- Machine-learning output of determination of typical atrophy-patterns: Normal / FTLD, AD
- Probability for an NPH. Very high accuracy if higher than 80%.
- Age and gender of patient.
- Software version.