SlicerSPECTRecon: A 3D Slicer Extension for SPECT Image Reconstruction
SlicerSPECTRecon is a 3D Slicer (Kikinis et al., 2014) extension designed for Single Photon Emission Computed Tomography (SPECT) image reconstruction.It offers a range of popular reconstruction algorithms and requires raw projection data from clinical or Monte Carlo simulated scanners.Built with the PyTomography Python library (Polson et al., 2025), it features GPU-accelerated functionality for fast reconstruction.The extension includes a graphical user interface for the selection of reconstruction parameters, and reconstructed images can be post-processed using all available 3D Slicer functionalities.
Authors
- Obed Korshie Dzikunu (ORCID: https://orcid.org/0000-0002-1122-0629)
- Lucas Polson (ORCID: https://orcid.org/0000-0002-3182-2782)
- Shadab Ahamed (ORCID: https://orcid.org/0000-0002-2051-6085)
- Arman Rahmim (ORCID: https://orcid.org/0000-0002-9980-2403)
- Carlos Uribe (ORCID: https://orcid.org/0000-0003-3127-7478)
- Maziar Sabouri (ORCID: https://orcid.org/0000-0001-7525-8952)
Institutions
- University of British Columbia (CA)
Publication Details
- Journal
- The Journal of Open Source Software
- Published
- 2024-12-10
- DOI
- https://doi.org/10.21105/joss.07399
- Citations
- 2
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Canadian Institutes of Health Research
- Natural Sciences and Engineering Research Council of Canada