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JOURNALS // Computer Optics // Archive

Computer Optics, 2021 Volume 45, Issue 6, Pages 897–906 (Mi co981)

This article is cited in 7 papers

IMAGE PROCESSING, PATTERN RECOGNITION

X-ray tomography: the way from layer-by-layer radiography to computed tomography

V. L. Arlazarovab, D. P. Nikolaevac, V. V. Arlazarovab, M. V. Chukalinaac

a Smart Engines Service LLC
b Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow
c Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute), Moscow

Abstract: The methods of X-ray computed tomography allow us to study the internal morphological structure of objects in a non-destructive way. The evolution of these methods is similar in many respects to the evolution of photography, where complex optics were replaced by mobile phone cameras, and the computers built into the phone took over the functions of high-quality image generation. X-ray tomography originated as a method of hardware non-invasive imaging of a certain internal cross-section of the human body. Today, thanks to the advanced reconstruction algorithms, a method makes it possible to reconstruct a digital 3D image of an object with a submicron resolution. In this article, we will analyze the tasks that the software part of the tomographic complex has to solve in addition to managing the process of data collection. The issues that are still considered open are also discussed. The relationship between the spatial resolution of the method, sensitivity and the radiation load is reviewed. An innovative approach to the organization of tomographic imaging, called “reconstruction with monitoring”, is described. This approach makes it possible to reduce the radiation load on the object by at least 2–3 times. In this work, we show that when X-ray computed tomography moves towards increasing the spatial resolution and reducing the radiation load, the software part of the method becomes increasingly important.

Keywords: computer tomography, data size, radiation load, monitored reconstruction

Received: 29.03.2021
Accepted: 26.07.2021

DOI: 10.18287/2412-6179-CO-898



© Steklov Math. Inst. of RAS, 2024