Synergistic Emission Tomographic Reconstruction toolkit for multimodal PET/SPECT/CT imaging
Project description
SETR
Synergistic Emission Tomographic Reconstruction
Tools for nuclear medicine image reconstruction combining PET/SPECT with CT anatomical information.
Contents
- Vectorial Total Variation regularization
- GPU-accelerated gradients and Jacobians
- Python wrapper for STIR Kernel EM
- Numba-optimized kernel operators
- Extended CIL functionality:
- Preconditioners
- Callbacks
- Step size rules
- SIRF data loading utilities
Installation
# Install dependencies via conda / pip or from source
- SIRF
- CIL
# Install SETR
pip install py-setr
Note
In order to use the partitioner with SPECT, you will need to build stir with https://github.com/samdporter/STIR/tree/SPECT_subsets
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