DeepGAD™ Technology
Our AI synthesizes full-dose-equivalent images from just 20% contrast volume while preserving diagnostic quality.
How It Works
DeepGAD™ combines pre-contrast and low-dose (20%) post-contrast MRI sequences with our proprietary deep learning architecture to generate full-dose-equivalent images.
CycleGAN-based Architecture
Adversarial training with cycle-consistency loss for stable, high-fidelity synthesis
Robust Preprocessing
Skull-stripping, registration, and intensity normalization ensure consistent inputs
20% Dose Input
DeepGAD™ Output
Technical Specifications
AI Model
- CycleGAN-based architecture with perceptual loss
- Trained on 4,000+ brain MRI studies
- Sub-mm resampling preserves lesion fidelity
Deployment
- Containerized stateless inference
- Encrypted data handling (HIPAA compliant)
- Kubernetes orchestration