Pre-processing will automatically start after sending the scan to the workstation to ensure the images are analyzed when you are ready to review.
Quantified segmentation results of brain volumes covering total brain and CSF are presented in an easy to read table and visualized with color coded overlays on an anatomical map.
Examination results can be downloaded as a comprehensive report including self-selected cross-sections and personal comments.
With this machine learning radiology application, automatic brain tissue segmentation provides fast insight in the possible presence of atrophy related to Alzheimer’s disease or other types of dementia, supporting more accurate diagnosis. The available reference centile curves derived from the population-based Rotterdam Scan Study enable accurate detection and staging of atrophy.
Longitudinal analysis of MRI brain scans allows for tracking of neuro degeneration over time. Based on T1w scans, the Quantib™ ND medical software will be able to process scans from subsequent timepoints and compare quantified volumes of different brain tissue and CSF.
Automatic assessment of white matter hyperintensity development supports easy and fast monitoring of MS patients. We are working on future versions of the Quantib™ ND medical software which will distinguish between new and previously identified WMHs, providing an intuitive visualization with color-coded lesions super positioned on an anatomical map.
Next to an axial and sagittal orientation, Quantib™ ND presents a coronal view in its standard visualization screen. As all viewports are customizable and linked, the user can easily navigate through the images and select cross-sections to export to the report.
We are happy to schedule a call and give you the full tour of all that our machine learning radiology application Quantib™ ND offers during a video conference.