MuscleView
Contact for pricing
Regulatory Status Disclosed
Overview
MuscleView by Springbok Analytics is an AI-driven musculoskeletal analysis software designed to transform magnetic resonance imaging (MRI) data into detailed 3D visualizations and quantitative metrics. The platform automatically segments muscle, bone, and fat tissue, providing objective measurements of individual muscle volume, left-right asymmetry, and intramuscular fat infiltration.
The tool is designed for clinicians, researchers, and specialists in sports medicine, orthopedics, longevity medicine, and clinical trials. It serves as an objective assessment aid for tracking muscle health, guiding return-to-play decisions, and monitoring disease progression or therapeutic efficacy in neuromuscular and musculoskeletal conditions.
Workflow Integration & Capabilities:
- Standard MRI Compatibility: Works with standard, widely available MRI sequences across various scanner manufacturers and field strengths, requiring rapid scan protocols (under 15 minutes for lower extremities; under an hour for full-body).
- Cloud-Based Processing: De-identified MRI scans are securely uploaded to the Springbok platform, where AI algorithms perform automated segmentation within 24 hours.
- Interactive Reporting: Delivers detailed 3D musculoskeletal visualizations and quantitative reports within 2 to 3 days, accessible via an interactive web-based viewer or static reports.
- Anatomical Coverage: Supports automated segmentation and analysis of over 100 individual muscles across the lower extremities, core, back, chest, shoulders, and arms.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered muscle segmentation and analysis
- 3D visualizations of muscle and skeletal structures
- Quantification of individual muscle volume
- Measurement of fat infiltration (intramuscular, intermuscular, subcutaneous, visceral, liver)
- Analysis of left-right muscle asymmetry
- Bone volume analysis
- Age-adjusted normative benchmarking
- Rapid MRI scan protocols (10-45 minutes)
- Compatibility with a wide range of MRI scanners
- Interactive web-based viewer and static PDF reports
Use Cases
- Injury prevention, recovery, and rehabilitation
- Performance optimization for elite athletes and sports teams
- Clinical trials and research (e.g., muscular dystrophy, sarcopenia)
- Longevity and healthy aging programs
- Assessment and monitoring of musculoskeletal conditions
- Precision body composition analysis
What Physicians Need to Know
FDA Clearance Pathway
510(k) cleared for MuscleView (K241331, cleared October 1, 2024) and MuscleView 2.0 (K251682, cleared September 9, 2025).
Supported Modalities
Magnetic Resonance Imaging (MRI) data. Measures musculoskeletal structures from a wide range of MR systems, strengths, and sequences. MuscleView 2.0 extends automated segmentation to include individual upper-body muscles and groups, offering comprehensive full-body tissue analysis.
AI Model Architecture
Utilizes a machine learning-based approach, specifically deep-learning algorithms, for automatic segmentation of musculoskeletal structures. The AI was rigorously trained and validated on diverse MRI scans covering various patient demographics, scan sites, and MRI parameters (e.g., manufacturer, field strength, series settings).
DICOM Support & Standards
Input to the software is DICOM data from magnetic resonance imaging (MRI).
Reading Room Workflow Impact
Transforms manual, time-intensive, subjective, and variable processes into automated, objective, precise, and reproducible analyses. Aims to eliminate post-processing bottlenecks and accelerate experimental cycles by delivering analysis-ready data quickly.
Processing Speed (per study)
MRI scans are performed using standard, widely available sequences; a lower extremity scan takes less than 15 minutes, and full-body scans are completed in under an hour. Processing by AI software and quality check typically takes 24 hours, with detailed reports delivered within 2-3 days.
Sensitivity & Specificity Data
Provides precise quantification of individual muscle volume and quality, fat infiltration, left-right asymmetries, scar tissue, edema, and tendon morphology. One study on rotator cuff muscles demonstrated muscle volume and fat infiltration segmentation errors less than 10% and 1.5% respectively. Offers a muscle size score that calculates a t-score by comparing muscle volume against a relevant database.
RSNA/ACR Validation
Springbok Analytics lists RSNA 2026 as an upcoming event, indicating participation and engagement with the radiological community.
Physician Tip
MuscleView is intended for use by trained physicians as an initial segmentation and analysis tool for musculoskeletal structures from MRI, initially for the lower extremity and now expanded to full-body. It provides objective, precise, and reproducible data, transforming traditionally manual and subjective processes. Physicians should note that all results must be reviewed using appropriate clinical software and are not intended for direct diagnosis. The interactive web-based viewer allows for detailed exploration and comparison of muscles, bones, and key metrics, aiding in monitoring disease progression, validating therapies, and managing high-performance athletes.
MuscleView accepts DICOM data from MRI scans. While it does not directly interface with imaging devices, scans are securely de-identified and uploaded to Springbok's platform for processing. The solution is compatible with a wide range of MRI scanners and acquisition protocols, making it suitable for multi-site studies, clinical trials, and research networks. Detailed reports, including 3D visualizations and comprehensive metrics, are delivered via an interactive web-based viewer and static reports.
Details
| Category | Radiology & Imaging AI |
| Pricing |
Contact for pricing
|
| Deployment | Cloud-based platform for processing with local software interaction for image upload and viewing. |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated MuscleView and MuscleView 2.0 have received FDA 510(k) clearance. It is cleared for use in adults aged 18 and older and intended as an initial segmentation and analysis tool for musculoskeletal structures. All results must be reviewed by trained physicians and are not intended for diagnosis. |
| Integrations | |
| EHR | Not specified |
| Specialties | Orthopedics, Physical Medicine & Rehab, Radiology |
Ratings & Reviews
No reviews yet. Be the first to review this tool!
Rate MuscleView
Press & Coverage
PR Newswire
Springbok Analytics Receives FDA 510(k) Clearance For MuscleViewu2122, its AI Muscle Health Analysis From a Rapid MRI Scan
Springbok Analytics announced it has received FDA 510(k) clearance for MuscleView, an AI-based muscle health analysis of MR images that provides personalized 3D visualizations and analyses of muscle health. This clearance is a significant milestone for the company's commercialization strategy, allowing integration into sports medicine, orthopedics, and therapeutic applications.
2024-10
ODT Magazine
FDA OKs Springbok Analytics' MuscleView AI Muscle Health Analysis
Springbok Analytics has received U.S. Food and Drug Administration (FDA) 510(k) clearance for MuscleView, its artificial intelligence (AI)-based muscle analysis of magnetic resonance (MR) images. The technology measures musculoskeletal structures from various MR systems and generates personalized 3D visualizations and analyses of muscle health.
2024-10
AuntMinnie
Springbok gets FDA nod for AI muscle analysis technology
Springbok Analytics has secured U.S. FDA clearance for MuscleView, an AI algorithm for analyzing muscle health from MRI scans. The technology measures musculoskeletal structures from rapid MRI scan protocols and produces 3D visualizations of muscle health, including individual muscle volume, left-right muscle asymmetry, bone volume, and intramuscular fat percentage.
2024-10
HMP Global Learning Network
FDA Clears AI-Powered Muscle Health Analysis Derived from Rapid MRI Scans
The FDA has granted 510(k) clearance for MuscleView, an AI-powered software that provides 3D visualization and analysis of muscle health based on rapid MRI scans. This technology enables enhanced assessment of muscle volume, asymmetry, intramuscular fat percentage, and bone volume.
2024-10
Springbok Analytics
Springbok Analytics Receives FDA 510(k) Clearance For MuscleView 2.0u2122
Springbok Analytics announced FDA 510(k) clearance for MuscleView 2.0u2122, broadening its focus from muscle health to comprehensive, full-body tissue analysis, accounting for age-related changes. This updated platform provides absolute values for muscle, fat, and bone, along with an integrated assessment of musculoskeletal structures.
2025-09
MDPI (International Journal of Translational Medicine)
Artificial Intelligence and Neuromuscular Diseases: A Narrative Review
This review mentions Springbok's MuscleView 2.0 as an FDA 510(k)-cleared AI software (K251682) that automatically segments lower-extremity muscles and bones on MRI and provides quantitative metrics like muscle volume and intramuscular fat percentage. It emphasizes that MuscleView provides quantitative metrics rather than disease labels and is not approved as a neuromuscular disease diagnostic.
2026-01
Journal of Shoulder and Elbow Surgery
Artificial intelligence revolution in shoulder magnetic resonance imaging: current evidence and future directions for rotator cuff diagnosis
This article highlights MuscleView (Springbok Analytics) as an AI platform that analyzes muscle health from MRI scans, having received FDA 510(k) clearance (K241017) in 2024 for providing 3D visualizations and quantitative metrics of muscle volume and fatty infiltration. It notes its utility in chronic cuff tear assessment.
2026-01
Patsnap Synapse
Springbok Analytics Leads MRI Innovations in Multi-Site Pediatric FSHD Clinical Study
Springbok Analytics is contributing its AI-powered MRI analysis to the MOVE Peds study, a multi-site pediatric FSHD clinical trial. This collaboration aims to advance pediatric FSHD research by providing essential data for understanding disease progression in children.
2025-03
Videos
Product demos, reviews, and walkthroughs for MuscleView.
Tin Tu1ee9c Nu1ed5i Bu1eadt Vu1ec1 Su1ee9c Khu1ecfe Su1ed1 Vu00e0 An Ninh Mu1ea1ng Ngu00e0y 19/10/2024
Digital Healthy Life
Frequently Asked Questions
MuscleView integrates by analyzing MRI data from rapid scan protocols to provide automated, objective, and precise muscle health assessments. It is intended for use in adults and pediatric patients aged 18 and older, assisting healthcare professionals in visualizing and quantifying anatomical structures.
MuscleView 2.0 has received FDA 510(k) clearance as a magnetic resonance diagnostic software device. Springbok Analytics states that patient data is kept within the user's network and is not used to train or test future models, addressing data privacy concerns.
MuscleView offers a more comprehensive and precise analysis than traditional methods like DXA or bioelectrical impedance, which provide global estimates but lack differentiation of tissue types or visualization of individual muscle asymmetries. Unlike manual MRI analysis, MuscleView automates the segmentation process, making it objective, precise, and reproducible.
While specific pricing models are not publicly detailed in the provided search results, interested physicians can likely obtain this information directly from Springbok Analytics through a demonstration or inquiry. Information on insurance reimbursement would typically depend on established CPT codes and payer policies, which may evolve as AI diagnostic tools become more widespread.
MuscleView 2.0 is not intended for use with patients who have tumors in the trunk, arms, and/or lower limb(s). It uses AI/ML algorithms to segment anatomical structures from magnetic resonance imaging data, and the segmentation results need to be reviewed and edited by a trained clinician using appropriate software.
The AI algorithm for muscle segmentation within MuscleView was rigorously trained and validated on a diverse set of MRI scans. These scans covered varying patients, demographics (including age, biological sex, and ethnicity), scan sites, and MRI parameters such as manufacturer, magnetic field strength, and series settings.
MuscleView 2.0 extends automated segmentation beyond the lower body to include individual upper-body muscles and groups, providing comprehensive full-body tissue analysis. It provides absolute values for muscle, fat, and bone, along with an integrated assessment of musculoskeletal structures.
Suggest an Edit →
| Last Verified: 2026-04-19 | First Added: 2026-04-19