Influence of reconstruction techniques on PET/CT image quality and quantitative accuracy: a phantom study
Author:
Publisher
Springer Science and Business Media LLC
Subject
Nuclear Energy and Engineering,Nuclear and High Energy Physics
Link
https://link.springer.com/content/pdf/10.1007/s41605-023-00441-w.pdf
Reference48 articles.
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2. Y.M. Chen, J.H. Tian, Image reconstruction-the ordered subset expectation maximization. Chin. J Nucl Med. 22(6), 379–381 (2002). https://doi.org/10.3760/cma.j.issn.2095-2848.2002.06.021.(inChinese)
3. D. Ribeiro, W. Hallett, A.A.S. Tavares, Performance evaluation of the Q.Clear reconstruction framework versus conventional reconstruction algorithms for quantitative brain PET-MR studies. EJNMMI Phys. 8(1), 41 (2021). https://doi.org/10.1186/s40658-021-00386-3.
4. A. Reilhac, S. Tomeï, I. Buvat et al., Simulation-based evaluation of OSEM iterative reconstruction methods in dynamic brain PET studies. Neuroimage 39(1), 359–368 (2008). https://doi.org/10.1016/j.neuroimage.2007.07.038
5. S. Chauvie, F. Bergesio, E.D. Ponti et al., The impact of time-of-flight, resolution recovery, and noise modelling in reconstruction algorithms in non-solid-state detectors PET/CT scanners:—multi-centric comparison of activity recovery in a 68Ge phantom. Phys. Med. 75, 85–91 (2020). https://doi.org/10.1016/j.ejmp.2020.06.002
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