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What we offer
StrokeVision is our online service to accelerate ischemic stroke research. We offer several image analysis options.
Lesion Detection & Size Measurement
Accurate stroke lesion detection in brain tissue. We provide you with a segmentation mask of the identified lesion. Human-level annotation accuracy.
Optimized for ischemic stroke lesions and T2 MR scans obtained by MCAO.
Brain Masking
Automated brain masking and skull stripping. We provide you with a segmentation mask of the brain region.
Optimized for T2 MR scans.
How it works
Preparation
Easy steps to get started:
● Register at our online analysis dashboard
● Upload your T2 MR scans in various formats - NIfTI or TIFF
● Choose one of our analysis solution packages
Analysis as a service
Select from several machine learning analysis options:
● brain masking / skull stripping
● lesion detection & size statistics
Accelerate your research
Scalable minds delivers the analysis results you need in high quality:
● preview the results and pay only when you’re satisfied
● download your results in NIfTI or TIFF formats
● benefit from our processed data and accelerate your research
>600
data sets analyzed
>90%
accuracy in our analysis
<72h
response time
Pricing
Rely on our machine-learning solutions to accelerate your research.
Process single scans or large cohorts of stroke lesion images.
3 Reasons to Work With Us
10 years experience with biological research
Highest quality image analysis to accelerate your research
Secure servers in Germany & strong data protection
Case Study
Our stroke vision analysis service was developed in close collaboration and the scientific advice of the Experimental_MRI group of the Department of Experimental Neurology at Charité. Together with Dr. Böhm-Sturm and his team were able to gain valuable insights into MRI imaging for stroke research and build Stroke Vision.
Their two powerful 7T small animal MRI machines are used to research ischemic strokes in mice. Stroke experiments are carried out by middle cerebral artery occlusion (MCAO) to study strokes caused by cerebral artery ischemia, assess tissue damages and investigate functional recovery after 12h/24h.
Based on their large corpus of high-quality T2 MR scans, we have applied the latest machine learning research and train several models for lesion detection. Our evaluations show that our approach rivals the segmentation accuracy of human annotators for lesion detection.
Using Stroke Vision the Böhm-Sturm group was able to analyze hundreds of archived datasets within a day and turn stale data into new insights.
Contact Us
Contact us to for more information or help.