Improved reproducibility of CT calcium score using blind deconvolution

Yingnan Song; Ammar Hoori; Hao Wu; Sadeer Al-Kindi; Jared Christian Durieux; James G. Terry; David R. Jacobs; Jamal S. Rana; John Jeffrey Carr; David L. Wilson

doi:10.1117/12.2580484

25 February 2021 Improved reproducibility of CT calcium score using blind deconvolution

Yingnan Song, Ammar Hoori, Hao Wu, Sadeer Al-Kindi, Jared Christian Durieux, James G. Terry, David R. Jacobs, Jamal S. Rana, John Jeffrey Carr, David L. Wilson

Author Affiliations +

Proceedings Volume 11600, Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging; 116000V (2021) https://doi.org/10.1117/12.2580484
Event: SPIE Medical Imaging, 2021, Online Only

Abstract

Our ultimate goal is to predict adverse cardiovascular events from CT calcium score exams using radiomics. Unlike the traditional whole heart Agatston score, our approach analyzes individual calcifications, creating a challenge for accurate/reproducible assessments. Optional preprocessing consisted of 3D blind deconvolution optimized on masked sharp structures, giving PSFs similar to measured ones, followed by noise reduction. In our experiment, we found that blind deconvolution improves the accuracy and reproducibility of CT calcium score evaluation. It is beneficial to use this to predict adverse cardiovascular event since it provides a robust and accurate evaluation of clinically relevant and pre-clinical calcifications. We conclude that for archived images where PSFs are unavailable, 3D blind deconvolution is a useful preprocessing step for improved radiomics assessments of CT-calcium-score images.

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Yingnan Song, Ammar Hoori, Hao Wu, Sadeer Al-Kindi, Jared Christian Durieux, James G. Terry, David R. Jacobs, Jamal S. Rana, John Jeffrey Carr, and David L. Wilson "Improved reproducibility of CT calcium score using blind deconvolution", Proc. SPIE 11600, Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging, 116000V (25 February 2021); https://doi.org/10.1117/12.2580484

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