ArticleMedical physics2016
Technical Note: FreeCT_wFBP: A robust, efficient, open-source implementation of weighted filtered backprojection for helical, fan-beam CT.
Article in Medical physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- An end-to-end CT simulation framework with graphical user interface and sample scanner models.Medical physics · 2025Article
- Deep learning enabled ultra-fast-pitch acquisition in clinical X-ray computed tomography.Medical physics · 2021Article
- Reproducibility of lung nodule radiomic features: Multivariable and univariable investigations that account for interactions between CT acquisition and reconstruction parameters.Medical physics · 2021Article
- High throughput image labeling on chest computed tomography by deep learning.Journal of medical imaging (Bellingham, Wash.) · 2020Article
- The effect of patellofemoral pain syndrome on patellofemoral joint kinematics under upright weight-bearing conditions.PloS one · 2020Article
- [Sparse-view helical CT reconstruction based on tensor total generalized variation minimization].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2019Article
- Development of a scanner-specific simulation framework for photon-counting computed tomography.Biomedical physics & engineering express · 2019Article
- DukeSim: A Realistic, Rapid, and Scanner-Specific Simulation Framework in Computed Tomography.IEEE transactions on medical imaging · 2019Article
- Technical Note: Design and implementation of a high-throughput pipeline for reconstruction and quantitative analysis of CT image data.Medical physics · 2019Article
- Technical Note: FreeCT_ICD: An open-source implementation of a model-based iterative reconstruction method using coordinate descent optimization for CT imaging investigations.Medical physics · 2018Article
- Low-dose CT perfusion with projection view sharing.Medical physics · 2018Article
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Authors and funding
4 authors.
Funding
Abstract
purposeWith growing interest in quantitative imaging, radiomics, and CAD using CT imaging, the need to explore the impacts of acquisition and reconstruction parameters has grown. This usually requires extensive access to the scanner on which the data were acquired and its workflow is not designed for large-scale reconstruction projects. Therefore, the authors have developed a freely available, open-source software package implementing a common reconstruction method, weighted filtered backprojection (wFBP), for helical fan-beam CT applications.
methodsFreeCT_wFBP is a low-dependency, GPU-based reconstruction program utilizing c for the host code and Nvidia CUDA C for GPU code. The software is capable of reconstructing helical scans acquired with arbitrary pitch-values, and sampling techniques such as flying focal spots and a quarter-detector offset. In this work, the software has been described and evaluated for reconstruction speed, image quality, and accuracy. Speed was evaluated based on acquisitions of the ACR CT accreditation phantom under four different flying focal spot configurations. Image quality was assessed using the same phantom by evaluating CT number accuracy, uniformity, and contrast to noise ratio (CNR). Finally, reconstructed mass-attenuation coefficient accuracy was evaluated using a simulated scan of a FORBILD thorax phantom and comparing reconstructed values to the known phantom values.
resultsThe average reconstruction time evaluated under all flying focal spot configurations was found to be 17.4 ± 1.0 s for a 512 row × 512 column × 32 slice volume. Reconstructions of the ACR phantom were found to meet all CT Accreditation Program criteria including CT number, CNR, and uniformity tests. Finally, reconstructed mass-attenuation coefficient values of water within the FORBILD thorax phantom agreed with original phantom values to within 0.0001 mm(2)/g (0.01%).
conclusionsFreeCT_wFBP is a fast, highly configurable reconstruction package for third-generation CT available under the GNU GPL. It shows good performance with both clinical and simulated data.
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