@inproceedings{d28e8c36fbcf408494bfdd3e8475eade,
title = "Improved reproducibility of CT calcium score using blind deconvolution",
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.",
keywords = "Calcium score, Coronary artery calcification, Deconvolution",
author = "Yingnan Song and Ammar Hoori and Hao Wu and Sadeer Al-Kindi and Durieux, {Jared Christian} and Terry, {James G.} and Jacobs, {David R.} and Rana, {Jamal S.} and Carr, {John Jeffrey} and Wilson, {David L.}",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging ; Conference date: 15-02-2021 Through 19-02-2021",
year = "2021",
doi = "10.1117/12.2580484",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Gimi, {Barjor S.} and Andrzej Krol",
booktitle = "Medical Imaging 2021",
address = "United States",
}