Positron reconstruction images.

<div><p>Positron imaging has shown great potential in industrial non-destructive testing due to its high sensitivity and ability to reveal internal structures of complex components. However, reconstructing high-quality images from positron emission data remains challenging, particularly...

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Bibliographic Details
Main Author:	Mingwei Zhu (3908962) (author)
Other Authors:	Min Zhao (66793) (author), Min Yao (309791) (author)
Published:	2025
Subjects:	Cell Biology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified shown great potential reveal internal structures posed inverse problems generative adversarial network generative adversarial framework exploit prior information destructive testing due closed cavity detection improve image quality iterative reconstruction process industrial positron images iterative reconstruction method iterative reconstruction quality images method integrates industrial non ssim compared sample conditions reconstructing high objective function limited sampling key innovation high sensitivity guide optimization gan ). experimental results end learning enabling end conventional methods complex components based constraint attention mechanism
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Positron reconstruction images.

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