RADIOLOGY VISION
Every stage of X-ray imaging
in a single SDK
Rigel is a high-performance C++ SDK specialized in X-ray image processing, analysis, and CT reconstruction.
Built on proven algorithms and GPU acceleration, it accelerates your product development.
About RADVIZ
A software company
focused on imaging technology
RADVIZ is a software company specialized in radiology imaging and vision technology. We deliver the entire pipeline — from X-ray image acquisition through processing, analysis, reconstruction, and visualization — in a single SDK, so that our customers can focus on their own applications and domain problems.
Algorithm expertise
We implement algorithms based on the latest research at industrial quality, verified by unit tests and performance tests.
Product-oriented design
Not research code — a stable, deployable SDK ready to ship inside commercial systems and software.
Technology partnership
Beyond selling a library, we develop features and provide engineering support tailored to the requirements of your product.
Product
Rigel — X-ray Imaging SDK
Every software stage after image acquisition, provided as modules.
License only the modules you need.
CT Reconstruction
High-speed 3D reconstruction engines for CBCT and industrial CT, from analytic to iterative reconstruction — including geometry calibration and artifact reduction.
- Analytic reconstruction (FDK and more)
- Iterative reconstruction
- Geometry calibration · artifact correction
X-ray Image Processing & Analysis
2D image processing that defines diagnostic and inspection image quality — noise reduction, sharpening, tone mapping — plus quantitative analysis.
- Noise reduction · detail enhancement
- Dynamic range compression · tone mapping
- Quantitative image analysis
2D/3D Inspection
Building blocks for inspection automation. Image segmentation, feature extraction, matching- and registration-based alignment, and classification for 2D images and 3D volumes.
- Segmentation · Feature Extraction
- Alignment (matching · 2D-3D registration)
- Classification
Visualization
From a real-time 2D image viewer to MPR and volume-rendering 3D viewers — put reconstruction results straight into your product screens.
- 2D image viewer · measurement tools
- MPR · volume-rendering 3D viewer
- GPU-resident real-time display · Overlay/Mask
AI & Deep Learning
From training pipelines to ONNX-based inference deployment — use deep learning directly inside the image processing pipeline.
- ONNX Runtime inference deployment
- Training pipelines · tools
- Integrated execution with image processing
X-ray Physics Simulation
Monte Carlo X-ray spectrum, image, and scatter simulation for system design and algorithm validation.
- Spectrum · dose simulation
- Virtual image generation
- Scatter modeling
Applications
Where Rigel is used
Medical imaging systems
The imaging chain of medical X-ray systems such as C-arm, CBCT, and DR — from preprocessing through reconstruction, image enhancement, and viewers.
Dental & specialty imaging
High-resolution reconstruction and specialized image quality processing for specialty imaging systems such as dental CBCT and panoramic X-ray.
Industrial inspection (NDT)
The same SDK covers reconstruction, defect analysis, and visualization for industrial CT and X-ray non-destructive testing systems.
Integration
How Rigel fits into your product
Rigel integrates flexibly with the architecture of your product.
Native C++ SDK
Provided as a C++ API for Windows x64, it integrates directly into your system software with no performance loss.
Modular licensing
License only the feature modules you need, optimizing adoption cost for the scale and stage of your product.
Pipeline composition
Processing stages can be combined into pipelines, so you can design and tune the imaging chain of each system quickly.
An industrial-grade codebase continuously verified by unit and performance tests
Shorter time to market by covering the entire imaging chain with one SDK
Processing, reconstruction, registration, visualization, and AI in one consistent API
Feature development driven by customer needs and close engineering support
Contact
Tell us about your project
We will show you how Rigel can be used in the system or software you are developing,
along with an evaluation SDK.