CT image quality assessment based on morphometric analysis of artifacts

D Nikolaev, A Buzmakov, M Chukalina… - … on Robotics and …, 2017 - spiedigitallibrary.org
2016 International Conference on Robotics and Machine Vision, 2017spiedigitallibrary.org
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 …
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.
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