ArticleFrontiers in nuclear medicine2023
PARALLELPROJ-an open-source framework for fast calculation of projections in tomography.
Article in Frontiers in nuclear medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Unsupervised deep learning for inverse problems in computed tomography.BMC medical imaging · 2026Article
- Deep unrolled regularization for limited-angle dual-panel positron emission mammography.Physical and engineering sciences in medicine · 2026Article
- Time-resolved PET imaging using a joint dynamic reconstruction and motion estimation framework (DREME-PET).Medical physics · 2026Article
- PET Image Reconstruction Using Deep Diffusion Image Prior.IEEE transactions on medical imaging · 2026Article
- Correcting fast irregular motion in PET: maximum-likelihood motion and activity (MLMA) reconstruction.EJNMMI physics · 2026Article
- Personalized MR-Informed Diffusion Models for 3D PET Image Reconstruction.IEEE transactions on radiation and plasma medical sciences · 2026Article
- Dual-domain transformer-based learned primal-dual reconstruction for PET imaging.Frontiers in nuclear medicine · 2026Article
- Beyond mechanics: Maximum-likelihood-driven PET detector alignment calibration.Medical physics · 2026Article
- PET rapid image reconstruction challenge (PETRIC).Frontiers in nuclear medicine · 2026Article
- Likelihood-Scheduled Score-Based Generative Modeling for Fully 3D PET Image Reconstruction.IEEE transactions on medical imaging · 2025Article
- YRT-PET: An Open-Source GPU-accelerated Image Reconstruction Engine for Positron Emission Tomography.IEEE transactions on radiation and plasma medical sciences · 2025Article
- Article
- Bayesian modeling with locally adaptive prior parameters in small animal imaging.Frontiers in nuclear medicine · 2025Article
- Fast PET reconstruction with variance reduction and prior-aware preconditioning.Frontiers in nuclear medicine · 2025Article
- Optimisation of the air fraction correction for lung PET/CT: addressing resolution mismatch.EJNMMI physics · 2023Article
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2 authors.
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Abstract
In this article, we introduce parallelproj, a novel open-source framework designed for efficient parallel computation of projections in tomography leveraging either multiple CPU cores or GPUs. This framework efficiently implements forward and back projection functions for both sinogram and listmode data, utilizing Joseph's method, which is further extended to encompass time-of-flight (TOF) PET projections. Our evaluation involves a series of tests focusing on PET image reconstruction using data sourced from a state-of-the-art clinical PET/CT system. We thoroughly benchmark the performance of the projectors in non-TOF and TOF, sinogram, and listmode employing multi CPU-cores, hybrid CPU/GPU, and exclusive GPU mode. Moreover, we also investigate the timing of non-TOF sinogram projections calculated in STIR (Software for Tomographic Image Reconstruction) which recently integrated parallelproj as one of its projection backends. Our results indicate that the exclusive GPU mode provides acceleration factors between 25 and 68 relative to the multi-CPU-core mode. Furthermore, we demonstrate that OSEM listmode reconstruction of state-of-the-art real-world PET data sets is achievable within a few seconds using a single consumer GPU.
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