MRI has long been the gold standard for evaluating muscle health. Its ability to visualize deep tissue and differentiate muscle from fat makes it indispensable for research, disease monitoring, and performance tracking.
But traditional MRI workflows aren’t built for scale. Manual segmentation is slow, expensive, and highly variable. Scan protocols often require lengthy acquisition times and specialized setups—limiting standardization across imaging sites.
For researchers, clinicians, and performance teams alike, these limitations delay insights and restrict progress.
At Springbok Analytics, we’ve spent more than a decade rethinking this problem. The result: an AI-powered, FDA-cleared solution that makes MRI a practical tool for large-scale muscle analysis.
Across clinical trials, sports performance, and aging research, traditional workflows break down in key areas:
• Manual segmentation is slow with high inter-rater variability
• Scanner-specific protocols limit reproducibility across sites
• Data processing is slow and software-dependent
• Long scan times create burden for patients and trial participants
These challenges aren’t just inefficient—they limit what’s possible when trying to study muscle health over time, or across large, diverse populations.
Our software automatically segments and analyzes muscle andb one structures using a machine learning-based approach, providing key metrics, including:
• Muscle volume
• Intramuscular fat percentage
• Left/right asymmetry
• Bone volume
Compatible with a wide range of MRI scanners and acquisition protocols, our solution is optimized for multi-site studies, clinical trials,and research networks.
In contrast to traditional workflows, Springbok enables:
• Faster turnaround – segmentation in hours, not months
• Improved reproducibility – AI-powered consistency across scans and sites
• More usable data – including 3D visualizations and normative comparisons
Whether you're monitoring disease progression in FSHD, validating a new therapy, or managing high-performance athletes, Springbok delivers the objective muscle metrics you need to make informed decisions faster.
We’ve created a concise 1-page guide that compares legacy workflows with our AI-based approach—tailored for:
• Research directors
• Imaging site leads
• Clinical trial sponsors
• Sports science & recovery teams
Click here to download the PDF.
MuscleView is FDA-cleared for use in adults aged 18 and older. It is intended to be used by trained physicians as an initial segmentation and analysis tool for the Lower Extremity. All results must be reviewed using appropriate clinical software and are not intended for diagnosis.