| Autor: |
Salama, Gerges M., Hamed, Hesham F. A., Abd El-Samie, Fathi E., Mahmoud, Imbaby I., Abd el Bar, Waleed, Zaky, Magdy M. |
| Zdroj: |
Journal of Optics; 20240101, Issue: Preprints p1-9, 9p |
| Abstrakt: |
For the nondestructive assessment of heavy industrial components and soft hydrogenous materials encased in heavy metals, which are typically challenging to image with X-rays, neutron tomography imaging is a particularly potent tool. Tomography imaging scanner technology has progressed rapidly throughout the past decade, with major advances in neutron computer tomography (NCT) detection system speed and image reconstruction that have resulted in a still-increasing number of novel computer tomography (CT) applications. This paper provides a comprehensive survey of the idea of iterative reconstruction (IR) of radiation dose with noise and artifact reduction. Additionally, the impact of model-based and statistical (hybrid) IR algorithms on image quality is exemplified by comparing them with the conventional filter-based back-projection (FBP) algorithm utilized for image reconstruction in NCT. |
| Databáze: |
Supplemental Index |
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