CT radiomic features reproducibility of virtual non-contrast series derived from photon-counting CCTA datasets using a novel calcium-preserving reconstruction algorithm compared with standard non-contrast series: focusing on epicardial adipose tissue

2024/04/08 by MengXu Cui, ShouYu Bao, JiQiang Li +6 · 1 voice
Engineering · Medicine · #Advanced X-ray and CT Imaging #Cardiovascular Disease and Adiposity #Radiomics and Machine Learning in Medical Imaging

paper · doi:10.1007/s10554-024-03096-w

crossref issued 2024/04/08 · crossref published 2024/04/08 · crossref published-online 2024/04/08 · openalex publication_date 2024/04/08 · crossref created 2024/04/08 · crossref deposited 2024/06/28 · openalex created_date 2025/10/10 · crossref indexed 2026/04/29 · openalex updated_date 2026/07/29

Citations

• Radiomics: Images Are More than Pictures, They Are Data
• A Concordance Correlation Coefficient to Evaluate Reproducibility
• Computational Radiomics System to Decode the Radiographic Phenotype
• The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

Discussions

• Check out🌟 #YesCCT #radiomics virtual non-contrast series from photon-counting #YesCCT datasets using a novel calcium-preserving algorithm vs. standard series➡️focusing on epicardial adipose tissue➡ [bsky, 0 points, 0 comments]