CT image quality assessment based on morphometric analysis of artifacts

Dmitry Nikolaev; Alexey Buzmakov; Marina Chukalina; Yakimchuk Ivan; Andrey Gladkov; Anastasia Ingacheva

doi:10.1117/12.2266268

8 February 2017 CT image quality assessment based on morphometric analysis of artifacts

Dmitry Nikolaev, Alexey Buzmakov, Marina Chukalina, Yakimchuk Ivan, Andrey Gladkov, Anastasia Ingacheva

Proceedings Volume 10253, 2016 International Conference on Robotics and Machine Vision; 102530B (2017) https://doi.org/10.1117/12.2266268
Event: 2016 International Conference on Robotics and Machine Vision, 2016, Moscow, Russia

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.

Citation Download Citation

Dmitry Nikolaev, Alexey Buzmakov, Marina Chukalina, Yakimchuk Ivan, Andrey Gladkov, and Anastasia Ingacheva "CT image quality assessment based on morphometric analysis of artifacts", Proc. SPIE 10253, 2016 International Conference on Robotics and Machine Vision, 102530B (8 February 2017); https://doi.org/10.1117/12.2266268

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