Comparative Analysis and Usefulness by Quantitative Evaluation of Deep Learning Image Reconstruction and Adaptive Statistical Iterative Reconstruction-V in Aortic Vessels CT

2021 ◽  
Vol 23 (2) ◽  
pp. 9-19
Author(s):  
Chang-Su Ko ◽  
In-Wan Cho ◽  
Ji-Won Kang ◽  
Woo-Jun Jeong ◽  
Hoon Song
Keyword(s):  
Deep Learning ◽  
Comparative Analysis ◽  
Image Reconstruction ◽  
Quantitative Evaluation ◽  
Iterative Reconstruction ◽  
Adaptive Statistical Iterative Reconstruction ◽  
Statistical Iterative Reconstruction

scholarly journals Influence of Deep Learning Image Reconstruction (DLIR) and Adaptive Statistical Iterative Reconstruction-V (ASIR-V) on Coronary Artery Calcium Quantification

2021 ◽  
Author(s):  
Yiran Wang ◽  
Hefeng Zhan ◽  
Wenjie Wu ◽  
Jie Liu ◽  
Jianbo Gao ◽  
...  
Keyword(s):  
Deep Learning ◽  
Coronary Artery ◽  
Image Reconstruction ◽  
Iterative Reconstruction ◽  
Cardiac Computed Tomography ◽  
Calcium Score ◽  
Coronary Calcium ◽  
Adaptive Statistical Iterative Reconstruction ◽  
Statistical Iterative Reconstruction ◽  
Risk Categories

Abstract Deep learning image reconstruction (DLIR) and Adaptive Statistical Iterative Reconstruction-V (ASIR-V) has been used for cardiac computed tomography imaging. However, DLIR and ASIR-V may influence the quantification of coronary artery calcification. This study aimed to investigate the effects of DLIR and ASIR-V on coronary calcium quantification compared to traditional filtered back projection (FBP). CT images of 96 patients were reconstructed by FBP, ASIR-V 50%, and three levels of DLIR (low [L], medium [M], and high [H], respectively). Image noise decreased significantly with ASIR-V 50% and increasing DLIR levels from L to H in comparison with FBP (all P < 0.001). There is a significantly decline with ASIR-V 50% and incremental DLIR levels in Agatston calcium score, volume score and mass score as compared to FBP (all P < 0.001). For all CAC score risk categories, Severity classification shows no significant differences among five reconstructions (all P > 0.05). DLIR-L has the minimal effect on coronary calcium quantification as compared to ASIR-V and DLIR at medium and high levels. it may be considered as an alternative to FBP for routine clinical use.

Model-Based Iterative Reconstruction Versus Adaptive Statistical Iterative Reconstruction in Low-Dose Abdominal CT for Urolithiasis

2014 ◽  
Vol 203 (2) ◽  
pp. 336-340 ◽  
Author(s):  
Diomidis Botsikas ◽  
Salvatore Stefanelli ◽  
Sana Boudabbous ◽  
Seema Toso ◽  
Christoph D. Becker ◽  
...  
Keyword(s):  
Iterative Reconstruction ◽  
Low Dose ◽  
Adaptive Statistical Iterative Reconstruction ◽  
Abdominal Ct ◽  
Model Based ◽  
Statistical Iterative Reconstruction
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