Public source
Reviewed 8 Oct 2026
Completeness Good (47%)
MRCAT Brain
PhilipsMRCAT Brain clinical application allows the use of MRI as the primary imaging modality for radiotherapy planning of primary and metastatic tumors in the brain without the need for CT. Detailed anatomical information for contouring and attenuation maps for dose calculations are both obtained from a single, submillimeter resolution 3D T1W mDIXON MR sequence. Artificial Intelligence (AI) is used for fast computation of continuous Hounsfield units directly on the MR console.
No papers to support — we monitor for new evidence.
Key features
MR-only workflow
Synthetic CT Generation
General Information
Product name
Company
Workflow phase
Modality
Treatment site
Exact structures
Regulatory Information
Verified by Health AI Register
Pathway:
MDR
Class:
Class IIb
Verified by Health AI Register
Other certifications
Not specified
Evidence & Research
No research papers or evidence on file yet.
The registry monitors publications for new evidence.
Technical Specifications
Prerequisites
Defined prerequisite(s)
Treatment technique
Delivery system
Workflow features
Patient population age
Input
Input format
Output
Output format
Integration
Integration method
Not specified
API documentation availability
Not specified
API documentation, if publicly available
Not specified
TPS compatibility
Deployment
Not specified
Trigger for AI functionality
Not specified
Processing time
Not specified
Retraining locally
Claims
Not specified
Known limitations
Not specified
Market Presence
On market since
Not specified
AI Platforms
Resellers
Not specified
Countries present
Not specified
Paying clinical customers
Not specified
Research/test users
Not specified
Pricing Information
Pricing model
Not specified
Based on
Not specified
Source: Public | First published: Oct 7, 2026 | Last updated: Oct 8, 2026