Blind CT images quality assessment of cupping artifacts

Anastasia Ingacheva; Daniil Tropin; Marina Chukalina; Dmitry Nikolaev

doi:10.1117/12.2587031

4 January 2021 Blind CT images quality assessment of cupping artifacts

Anastasia Ingacheva, Daniil Tropin, Marina Chukalina, Dmitry Nikolaev

Proceedings Volume 11605, Thirteenth International Conference on Machine Vision; 1160516 (2021) https://doi.org/10.1117/12.2587031
Event: Thirteenth International Conference on Machine Vision, 2020, Rome, Italy

Abstract

In Computed tomography (CT) usage of common reconstruction algorithms to the projection data acquired with polychromatic probing radiation leads to the appearance of a cup-like distortion. CT image quality can be improved by adjusting the CT scanner or the reconstruction algorithm, but for this purpose assessment of cupping artifacts evaluation needs to be done. Existing assessment methods either rely on expert opinion or require an object binary mask, which can be unavailable. In this paper, we propose a method for blind assessment of cupping artifacts that do not require any prior information. The main idea of the proposed method is to evaluate the degree of change in intensity near automatically found edges of optically dense objects. We prove the applicability of the method on the collected dataset with cupping artifacts. The results show a monotonic dependency between the severity of cupping artifacts and the calculated with the proposed method value.

Citation Download Citation

Anastasia Ingacheva, Daniil Tropin, Marina Chukalina, and Dmitry Nikolaev "Blind CT images quality assessment of cupping artifacts", Proc. SPIE 11605, Thirteenth International Conference on Machine Vision, 1160516 (4 January 2021); https://doi.org/10.1117/12.2587031

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