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2020 | OriginalPaper | Buchkapitel

Transmission Based Adaptive Automatic Tube Voltage Selection for Computed Tomography

verfasst von : Gábor Lékó, Péter Balázs

Erschienen in: Combinatorial Image Analysis

Verlag: Springer International Publishing

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Abstract

Computed Tomography (CT) is a widely used x-ray based imaging modality in radiodiagnostics and non-destructive testing. For medical considerations as well as for economical and environmental reasons, it is desirable to reduce the dose of radiation and to optimize energy used for acquiring x-ray projection images. Especially, in case of elongated objects, using a constant energy spectrum radiation may not provide realistic information about the interior of the examined object. In this paper we provide an adaptive tube voltage selection method, which determines the proper amount of radiation energy on-the-fly, during the acquisition, based on projection information. By experiments on software phantom images we show that this adaptive approach can produce CT images of better quality, and in the same time, by consuming less energy.

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Vorheriges Kapitel Repairing Binary Images Through the 2D Diamond Grid

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Titel: Transmission Based Adaptive Automatic Tube Voltage Selection for Computed Tomography
verfasst von: Gábor Lékó
Péter Balázs
Verlag: Springer International Publishing
Buch: Combinatorial Image Analysis
Print ISBN: 978-3-030-51001-5

Electronic ISBN: 978-3-030-51002-2

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-51002-2_14

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