A maximum-likelihood reconstruction algorithm for tomographic gamma-ray nondestructive assay

Geometric matrix research for nuclear waste drum tomographic gamma scanning transmission image reconstruction

“…It is used in industrial Computerized Tomography (CT) imaging to increase the accuracy of attenuation corrections when the distribution of the sample medium is uneven. Thus, it improves the accuracy of the content of the non-uniform analysis of radioactive samples in γray spectroscopy measurements when compared to traditional methods such as Segmented Gamma Scanning (SGS) [1][2][3][4][5].…”

Development of coincidence summing and resolution enhancement algorithms for digital gamma ray spectroscopy

“…Also, it accurately determines the full-energy response of selected gamma rays using continuum subtraction techniques. 14 The gamma ray for nuclear spectroscopy with higher resolution provides exciting possibilities to detect the gamma rays emitted from complex nuclear reactions with a much higher efficiency. Consequently, some of the general features of gamma ray spectroscopy were studied, along with the performance characteristics of a NaI (Tl) scintillation detection system.…”

MLEM Image Reconstruction Algorithm for Transmission Tomographic Gamma Scanning in Drummed Nuclear Wastes

“…In this work, MLEM (Maximum Likelihood Expectation Maximization) [9][10][11], as a statistical iterative algorithm with preferable anti-noise capability, is used for the solution of the transmission equation 3. The mathematical iterative formula of MLEM is as follows [12]: (4) is the linear attenuation coefficient of the j th voxel after k th iteration; is an element from track matrix which shows the track length gamma rays produced within the j th voxel during the i th measurement; represents the negative logarithm of transmissivity obtained by the i th measurement.…”