{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Song Y"],"funding":["NIBIB NIH HHS","NHLBI NIH HHS"],"pagination":["014002"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9836910"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["10(1)"],"pubmed_abstract":["<h4>Purpose</h4>Our long-range goal is to improve whole-heart CT calcium scores by extracting quantitative features from individual calcifications. Here, we perform deconvolution to improve bias/reproducibility of small calcification assessments, which can be degraded at the normal CT calcium score image resolution.<h4>Approach</h4>We analyzed features of individual calcifications on repeated standard (2.5 mm) and thin (1.25 mm) slice scans from QRM-Cardio phantom, cadaver hearts, and CARDIA study participants. Preprocessing to improve the resolution involved of Lucy-Richardson deconvolution with a measured point spread function (PSF) or three-dimensional blind deconvolution in which the PSF was iteratively optimized on high detail structures such as calcifications in images.<h4>Results</h"],"journal":["Journal of medical imaging (Bellingham, Wash.)"],"pubmed_title":["Improved bias and reproducibility of coronary artery calcification features using deconvolution."],"pmcid":["PMC9836910"],"funding_grant_id":["HHSN268201800005I","HHSN268201800004I","T32 EB007509","HHSN268201800007I","HHSN268201800006I","R01 HL143484","HHSN268201800003I","R41 HL144271","R01 HL165218","R44 HL156811","R01 HL098445"],"pubmed_authors":["Al-Kindi S","Carr JJ","Wilson DL","Terry JG","Hoori A","Jacobs DR","Song Y","Wu H","Vembar M","Ciancibello L"],"additional_accession":[]},"is_claimable":false,"name":"Improved bias and reproducibility of coronary artery calcification features using deconvolution.","description":"<h4>Purpose</h4>Our long-range goal is to improve whole-heart CT calcium scores by extracting quantitative features from individual calcifications. Here, we perform deconvolution to improve bias/reproducibility of small calcification assessments, which can be degraded at the normal CT calcium score image resolution.<h4>Approach</h4>We analyzed features of individual calcifications on repeated standard (2.5 mm) and thin (1.25 mm) slice scans from QRM-Cardio phantom, cadaver hearts, and CARDIA study participants. Preprocessing to improve the resolution involved of Lucy-Richardson deconvolution with a measured point spread function (PSF) or three-dimensional blind deconvolution in which the PSF was iteratively optimized on high detail structures such as calcifications in images.<h4>Results</h","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Jan","modification":"2025-04-05T12:43:25.956Z","creation":"2025-04-05T12:43:25.956Z"},"accession":"S-EPMC9836910","cross_references":{"pubmed":["36647366"],"doi":["10.1117/1.jmi.10.1.014002","10.1117/1.JMI.10.1.014002"]}}