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IcoBrain

icobrain is intended for automatic labeling, visualization and volumetric quantification of segmentable brain structures from a set of MR or non-contrast CT images.1

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Ico Metrix
  • MR
  • MRI
  • CT
  • volumetric quantification
  • AI
  • segmentation
  • multiple sclerosis
  • dementia
  • TBI
  • traumatic brain injury

Automate the current manual process of identifying, labeling and quantifying the volume of segmentable brain structures identified on MR and non-contrast CT images.

The output of each icobrain evaluation consists of a concise report to help radiologist and neurologist interpret and communicate the patient's condition.1

 

    icobrain DM for MR and CT

    icobrain dm is intended to automate the current manual process of identifying, labeling, and quantifying the volume of segmentable brain structures identified on MR or non-contrast CT images. 

    For MR images icobrain dm uncovers abnormality patterns by assessing the total FLAIR lesion burden. Whole brain and ventricular volume are normalized for head size by comparing to a healthy population using a statistical model.1  

    For non-contrast CT images icobrain dm uncovers abnormality pattern by comparing whole brain and ventricular volume to a healthy population using a statistical model.1

    icobrain ms: Cloud-based Al solution to help MS care teams deliver personalized care for patients with multiple sclerosis. This application is an Al solution for the volumetric quantification of brain MRI scans in clinical practice.1

    icobrain TBI for MR and CT

    icobrain tbi produces reports that can be useful when evaluating potential traumatic brain injury patients. 

    For MR images icobrain TBI uncovers abnormality patterns by   
    1) Detecting and quantifying FLAIR white matter hyperintensities and    
    2) Comparing brain volumes to an age and gender matched normative healthy population.3 
    For non-contrast CT images icobrain TBI allows for the detection of mass effects by:   
    1) Detecting, quantifying and classifying hyperdensities (epidural, subdural and intra­ parenchymal).   
    2)- Assessing the CSF spaces (ventricular and cisternal spaces) and ventricular asymmetry.   
    3) Measuring midline shift.  
    4) Volumes are normalized for head size by comparing to a healthy population using a statistical model.1

    References

    1. Icometrix HCP manual - Icobrain mr 5.9.3 Doc. 158313995.85; Icobrain ct 6.1.0 Doc 190586258.9
    2. Sima DM, et al. On the use of icobrain's prepopulated radiology reporting template for multiple sclerosis follow-up. ECR 2020 / C-11342
    3. Van Hecke, Wim et al. “A Novel Digital Care Management Platform to Monitor Clinical and Subclinical Disease Activity in Multiple Sclerosis.” Brain sciences vol. 11,9 1171. 3 Sep. 2021, doi:10.3390/brainsci11091171
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