Positron Emission Tomography of Not-Full-Ring Sensors Arrangement: Simulation and Verification for Internal Imaging of Hydraulic Cylinder

Chen, Hao; Zhao, Min; Yao, Min; Guo, Ruipeng; Zhu, Mingwei; Xiao, Hui

doi:10.1109/access.2020.3038661

Cited by 3 publications

(2 citation statements)

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“…Although uncertainty exists to the statistical nature of PEPT (positron emission particle tracking) method, multi-PEPT has been shown to be capable as a means of examining characteristics of a complex flow regime. Chen et al (2020) designed a not-full-ring PET to measure the liquid distribution in a hydraulic cavity [12]. They verified that the not-full-ring scheme is feasible for imaging industrial parts.…”

Section: Introductionmentioning

confidence: 99%

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Fast γ Photon Imaging for Inner Surface Defects Detecting

Yao

Luo

Zhao

et al. 2021

Sensors

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Only a few effective methods can detect internal defects and monitor the internal state of complex structural parts. On the basis of the principle of PET (positron emission computed tomography), a new measurement method, using γ photon to detect defects of an inner surface, is proposed. This method has the characteristics of strong penetration, anti-corrosion and anti-interference. With the aim of improving detection accuracy and imaging speed, this study also proposes image reconstruction algorithms, combining the classic FBP (filtered back projection) with MLEM (maximum likelihood expectation Maximization) algorithm. The proposed scheme can reduce the number of iterations required, when imaging, to achieve the same image quality. According to the operational demands of FPGAs (field-programmable gate array), a BPML (back projection maximum likelihood) algorithm is adapted to the structural characteristics of an FPGA, which makes it feasible to test the proposed algorithms therein. Furthermore, edge detection and defect recognition are conducted after reconstructing the inner image. The effectiveness and superiority of the algorithm are verified, and the performance of the FPGA is evaluated by the experiments.

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Section: Introductionmentioning

confidence: 99%

“…Related studies have shown that γ photon imaging has the unique advantage of being capable of imaging inner defects [8][9][10][11][12]. Such detection process is shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%