Iterative reconstruction algorithms in neutron tomography imaging

被引:0
作者
Salama, Gerges M. [1 ]
Hamed, Hesham F. A. [1 ,2 ]
Abd El-Samie, Fathi E. [3 ,4 ]
Mahmoud, Imbaby I. [5 ]
Abd el Bar, Waleed [1 ,6 ]
Zaky, Magdy M. [6 ]
机构
[1] Menia Univ, Fac Engn, Dept Elect Engn, El Minia 61111, Egypt
[2] Egyptian Russian Univ, Fac Engn, Cairo, Egypt
[3] Menoufia Univ, Fac Elect Engn, Dept Elect & Elect Commun Engn, Menoufia 32952, Egypt
[4] Princess Nourah Bint Abdulrahman Univ, Coll Comp & Informat Sci, Dept Informat Technol, POB 84428, Riyadh 11671, Saudi Arabia
[5] NCRRT, Egyptian Atom Energy Author, Cairo, Egypt
[6] Egyptian Atom Energy Author AEA, ETRR 2, Cairo, Egypt
来源
JOURNAL OF OPTICS-INDIA | 2024年
关键词
Neutron tomography; Image reconstruction; Iterative reconstruction; RADIOGRAPHY;
D O I
10.1007/s12596-024-01748-7
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
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.
引用
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页数:9
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