A cleaned and structured collection of CBCT (Cone-Beam CT) reconstruction–related open-source tools, frameworks, and research projects.
| Name | Description |
|---|---|
| TIGRE | GPU-accelerated CBCT reconstruction toolbox (FDK, OS-SART, iterative methods). MATLAB & Python APIs. |
| ASTRA Toolbox | Widely used tomography toolbox with CPU/GPU backends, Python & MATLAB interfaces. |
| CIL | High-level Python framework built on ASTRA/TIGRE; supports advanced optimization and regularization. |
| CCPi Regularisation Toolkit | TV/TGV/NLL and other advanced regularizers; integrates with CIL. |
| RTK | ITK-based C++/Python toolkit for CBCT reconstruction; industry- and research-grade. |
| LEAP | Livermore AI Projector for CT, supporting physics-aware and learning-based approaches. |
| cbctrecon | Educational Python implementation of FDK and SART algorithms. |
| PyTomography | Lightweight Python framework for tomography research and teaching. |
| Name | Description |
|---|---|
| CBCTCalibration | Phantom-free CBCT geometric calibration tools (Python). |
| GeometricalSelf-Calibration | Least-squares–based self-calibration with visualization. |
| CtCalib | Python-based cone-beam CT geometric calibration. |
| geometric_calibration | Template-fitting-based calibration for experimental CBCT systems. |
| geometry_gradients_CT | Studies reconstruction sensitivity to geometry perturbations. |
| detector-calibration | Detector gain/offset calibration, useful for low-dose imaging. |
| offset-cone-beam-CT-reconstruction | Reconstruction with detector/orbit offsets and non-central trajectories. |
| Name | Description |
|---|---|
| FORCASTER | C++/CUDA framework for dynamic and time-dependent tomography. |
| KCT_cbct | End-to-end CBCT system: acquisition, calibration, and reconstruction. |
| CT-Recon | Educational CT reconstruction algorithms and experiments. |
| helix2fan | Helical-to-fan-beam rebinning utilities. |
| mirt | Michigan Image Reconstruction Toolbox (classic iterative reconstruction). |
| Name | Description |
|---|---|
| LION | Learning-based CBCT reconstruction and calibration (Cambridge CIA). |
| ArtifactReduction | Deep-learning framework for scatter and metal artifact reduction. |
| PYRO-NN | Neural-network-based tomographic reconstruction methods. |
| Name | Description |
|---|---|
| XrayPhysics | X-ray spectra, attenuation, detector response models. |
| VirtualCBCT | Virtual CBCT projection and reconstruction simulation environment. |
| VirtualCT | CT system simulation for algorithm development and validation. |
| openSSS | Open-source single-scatter simulation tools. |
| MCNP | Monte Carlo N-Particle code for radiation transport (gold standard). |
| OpenMC | Modern open-source Monte Carlo particle transport simulation. |
| Name | Description |
|---|---|
| LEAPCT-UI-GUI | GUI frontend for LEAP CT reconstruction workflows. |
| Name | Description |
|---|---|
| Awesome-CT-Reconstruction | Curated list of CT reconstruction papers, datasets, and codebases. |
- Algorithm research / GPU FDK & iterative methods: TIGRE, ASTRA, RTK
- Physics-aware or Monte Carlo scatter modeling: OpenMC, MCNP, XrayPhysics
- Geometry calibration & system debugging: CtCalib, CBCTCalibration
- Deep learning reconstruction / artifact reduction: LION, PYRO-NN
- Custom engineering systems: KCT_cbct, FORCASTER