DeepGAD™ Technology
Advanced AI synthesis for contrast-enhanced MRI with minimal gadolinium dose. Our proprietary technology delivers full-dose equivalent images from just 20% of standard contrast.
How It Works
Low-Dose Acquisition
Acquire T1w images with just 20% of standard GBCA dose (~3 ml instead of ~15 ml)
AI Synthesis
DeepGAD™ processes low-dose + pre-contrast images through adversarial learning model
Full-Dose Equivalent
Output high-quality images equivalent to full-dose contrast enhancement
Coming Soon
Additional features and capabilities in development
Model Architecture
CycleGAN-Based Deep Learning
DeepGAD™ employs a sophisticated adversarial learning architecture with cycle-consistency loss, ensuring realistic and diagnostically accurate image synthesis.
- Preprocessing: Skull-stripping, registration, and intensity normalization for optimal input quality
- Sub-millimeter resampling: Preserves lesion fidelity and fine anatomical details
- Adversarial training: Discriminator ensures synthetic images are indistinguishable from real full-dose scans
- Cycle-consistency: Bidirectional translation maintains anatomical integrity
Engineering & Deployment
Containerized
Fully containerized models for consistent deployment across environments
Secure
Encrypted data pipelines with HIPAA-compliant infrastructure
Kubernetes
K8s orchestration across dev, QA, and production environments
CI/CD
Automated deployment with Jenkins & ArgoCD for rapid iteration
Built for Enterprise Scale
DeepGAD™'s stateless architecture enables seamless horizontal scaling, ensuring consistent performance whether processing 10 or 10,000 exams per day. Integration-ready APIs make deployment straightforward for health systems of any size.