I. P. Yarovenko, P. A. Vornovskikh, I. V. Prokhorov
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引用次数: 0
Abstract
This paper proposes a new approach to improving image quality in pulsed X-ray
tomography. The method is based on establishing a functional dependence of the reconstructed
images on the duration of the probing pulses and applying an extrapolation procedure. The
numerical experiments demonstrated that the developed algorithm effectively suppresses the
influence of scattered radiation and significantly increases image contrast. The proposed
alternative approach allows substantially increasing the stability of the method even for media
containing strong scattering inhomogeneities and with a significant level of noise in the projection
data. In addition, the algorithm has greater stability to errors in the source data caused by an
increase in the duration of the probing pulses. The numerical experiments confirmed the high
efficiency of the extrapolation tomography algorithm for recovering the internal structure of the
test object.
期刊介绍：
Journal of Applied and Industrial Mathematics is a journal that publishes original and review articles containing theoretical results and those of interest for applications in various branches of industry. The journal topics include the qualitative theory of differential equations in application to mechanics, physics, chemistry, biology, technical and natural processes; mathematical modeling in mechanics, physics, engineering, chemistry, biology, ecology, medicine, etc.; control theory; discrete optimization; discrete structures and extremum problems; combinatorics; control and reliability of discrete circuits; mathematical programming; mathematical models and methods for making optimal decisions; models of theory of scheduling, location and replacement of equipment; modeling the control processes; development and analysis of algorithms; synthesis and complexity of control systems; automata theory; graph theory; game theory and its applications; coding theory; scheduling theory; and theory of circuits.
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