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Statistical Characteristics of 3-D PET Imaging: A Comparison Between Conventional and Total-Body PET Scanners

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Pattern Recognition and Computer Vision (PRCV 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13535))

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Abstract

The performance of an operational PET scanner is affected by many factors, thus the detailed evaluation of imaging characteristics could contribute to ensuring the image quality. The routine quality assurance (QA) measurement of PET scanners can be used to provide an operational understanding of scanning properties. This study aims to compare the results obtained by the procedure for qualifying PET/CT scanners for clinical trials adopted by Guangdong Provincial People’s Hospital on both conventional (Biograph 16HR, Siemens) and total-body (uEXPLORER) PET/CT scanners. Uniform phantoms filled with 18F-FDG used in static mode and Ge-68 PET cylinders & transmission rod source used in dynamic mode have both been analyzed. This comparison study focuses on statistical characteristics and spatial correlation within the region of interest. We evaluate axial and transaxial patterns in mean, variance, and covariance. In general, voxel values of dynamic images are more skewed than static images, indicating that the Normal-based image post-processing algorithms might not be applicable for dynamic PET scans. Since variance characteristics are dominated by effective counts–these are lower in the axial extremes of the scanner bed, there is always a U-shaped of variance over axial locations in conventional PET scanners, while the static mode of the uEXPLORER scanner does not have. The spatial correlation between adjacent slices shows a potential connection with scanning settings. Therefore, there is a certain difference in imaging characteristics between conventional and whole-body PET scanners. In addition, information from routine phantom scanning would enrich the knowledge of image processing and give a novel method of comparative studies. Investigation of this approach is currently underway and will be reported in future work.

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Correspondence to Tian Mou .

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Lin, Y., Liu, Et., Mou, T. (2022). Statistical Characteristics of 3-D PET Imaging: A Comparison Between Conventional and Total-Body PET Scanners. In: Yu, S., et al. Pattern Recognition and Computer Vision. PRCV 2022. Lecture Notes in Computer Science, vol 13535. Springer, Cham. https://doi.org/10.1007/978-3-031-18910-4_20

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  • DOI: https://doi.org/10.1007/978-3-031-18910-4_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-18909-8

  • Online ISBN: 978-3-031-18910-4

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