TIGRE is an open-source toolbox for fast and accurate 3D tomographic reconstruction for any geometry. Its focus is on iterative algorithms for improved image quality that have all been optimized to run on GPUs (including multi-GPUs) for improved speed. It combines the higher-level abstraction of MATLAB or Python with the performance of CUDA at a lower level in order to make it both fast and easy to use. TIGRE is free to download and distribute: use it, modify it, add to it, and share it. Our aim is to provide a wide range of easy-to-use algorithms for the tomographic community "off the shelf". We would like to build a stronger bridge between algorithm developers and imaging researchers/clinicians by encouraging and supporting contributions from both sides to TIGRE.
Features
- MATLAB and Python libraries for high-performance x-ray absorption tomographic reconstruction
- Documentation available
- State-of-the-art implementations of projection and backprojection operations on GPUs (including multi-GPUs), with a simple interface using higher level languages to facilitate the development of new methods
- Flexible CT geometry: Cone Beam, Parallel Beam, Digital Tomosynthesis, C-arm CT, and any other geometry. Geometric parameters are defined per projection, not per scan
- A wide range of reconstruction algorithms for CT
- Filtered backprojection (FBP,FDK) and variations (different filters, Parker weights, ...)
Project Samples
