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Proceedings Paper

CT image quality assessment based on morphometric analysis of artifacts
Author(s): Dmitry Nikolaev; Alexey Buzmakov; Marina Chukalina; Yakimchuk Ivan; Andrey Gladkov; Anastasia Ingacheva
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Paper Abstract

Obtaining high quality images from Computed Tomography (CT) is important for correct image interpretation. In this paper, we propose novel procedures that can be used for a quantitative description of the degree of artifact expressiveness in CT images, and show that the use of this type of metric allows to assess the dynamics of image degradation. We perform different image reconstruction tests in order to analyse our approach, and the obtained results confirm the usefulness of the proposed method. We conclude that the use of the proposed estimates allows moving from image quality assessment based on visual scoring to a quantitative approach and consequently to support a CT setup providing high quality reconstructed images obtained by appropriate changes of the reconstruction parameters or algorithms.

Paper Details

Date Published: 8 February 2017
PDF: 5 pages
Proc. SPIE 10253, 2016 International Conference on Robotics and Machine Vision, 102530B (8 February 2017); doi: 10.1117/12.2266268
Show Author Affiliations
Dmitry Nikolaev, Institute for Information Transmission Problems (Russian Federation)
Alexey Buzmakov, A.V. Shubnikov Institute of Crystallography (Russian Federation)
Marina Chukalina, A.V. Shubnikov Institute of Crystallography (Russian Federation)
Yakimchuk Ivan, Schlumberger Moscow Research Ctr. (Russian Federation)
Andrey Gladkov, Visillect Service (Russian Federation)
Anastasia Ingacheva, National Research Univ. Higher School of Economics (Russian Federation)


Published in SPIE Proceedings Vol. 10253:
2016 International Conference on Robotics and Machine Vision
Alexander V. Bernstein; Adrian Olaru; Jianhong Zhou, Editor(s)

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