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Convergence acceleration of the alternating minimization algorithm for high-speed gamma-ray tomography

Maad R., Johansen G. A.

Zeszyty Naukowe. Elektryka / Politechnika Łódzka

2009

z. 114

173-176

A high-speed gamma-ray tomograph has been built to monitor dynamics processes. Unfortunately the use of a higher spatial and density resolution algorithm such the alternating minimization, takes a long time compared to the data acquisition time of the system, limiting thus the speed of the tomograph for real time imaging applications. This paper investigates the performance of different algorithms and combines fast image reconstruction algorithms with a higher spatial resolution algorithm to accelerate the convergence and keep a high spatial and density resolution of the system.