State-of-the-Art Deep Learning CT Reconstruction Algorithms in Abdominal Imaging
The implementation of deep neural networks has spurred the creation of deep learning
reconstruction (DLR) CT algorithms. DLR CT techniques encompass a spectrum of deep …
reconstruction (DLR) CT algorithms. DLR CT techniques encompass a spectrum of deep …
[HTML][HTML] Evolving and Novel Applications of Artificial Intelligence in Abdominal Imaging
MR Loper, MS Makary - Tomography, 2024 - mdpi.com
Advancements in artificial intelligence (AI) have significantly transformed the field of
abdominal radiology, leading to an improvement in diagnostic and disease management …
abdominal radiology, leading to an improvement in diagnostic and disease management …
Ultra-High-Resolution Photon-Counting Detector CT Benefits Visualization of Abdominal Arteries: A Comparison to Standard-Reconstruction
H Zhang, Y Xing, L Wang, Y Hu, Z Xu, H Chen… - Journal of Imaging …, 2024 - Springer
This study aimed to investigate the potential benefit of ultra-high-resolution (UHR) photon-
counting detector CT (PCD-CT) angiography in visualization of abdominal arteries in …
counting detector CT (PCD-CT) angiography in visualization of abdominal arteries in …
Characterization of hepatocellular carcinoma with CT with deep learning reconstruction compared with iterative reconstruction and 3-Tesla MRI
C Malthiery, G Hossu, A Ayav, V Laurent - European Radiology, 2025 - Springer
Objectives This study compared the characteristics of lesions suspicious for hepatocellular
carcinoma (HCC) and their LI-RADS classifications in adaptive statistical iterative …
carcinoma (HCC) and their LI-RADS classifications in adaptive statistical iterative …
Lean body weight-based contrast injection protocol in liver CT: optimization of contrast medium dose
Objectives To evaluate liver enhancement and image quality of abdominal CECT
examinations acquired with multiple LBW-based contrast medium injection protocols …
examinations acquired with multiple LBW-based contrast medium injection protocols …
Image quality assessment of artificial intelligence iterative reconstruction for low dose unenhanced abdomen: comparison with hybrid iterative reconstruction
H Qi, D Cui, S Xu, W Li, Q Zeng - Abdominal Radiology, 2024 - Springer
Objectives To assess the impact of artificial intelligence iterative reconstruction algorithms
(AIIR) on image quality with phantom and clinical studies. Methods The phantom images …
(AIIR) on image quality with phantom and clinical studies. Methods The phantom images …
Optimizing computed tomography image reconstruction for focal hepatic lesions: Deep learning image reconstruction vs iterative reconstruction
V Jaruvongvanich, K Muangsomboon, W Teerasamit… - Heliyon, 2024 - cell.com
Background Deep learning image reconstruction (DLIR) is a novel computed tomography
(CT) reconstruction technique that minimizes image noise, enhances image quality, and …
(CT) reconstruction technique that minimizes image noise, enhances image quality, and …
深度学习图像重建提升标准肝脏密度体模CT 扫描图像质量
潘志杰， 刘玲， 李卿瑶， 曲婷婷， 张帅， 解学乾 - CT 理论与应用研究, 2024 - cttacn.org.cn
目的: 通过使用不同的扫描剂量, 扫描模拟标准肝脏密度体模, 比较深度学习重建技术(DLIR)
与自适应统计迭代重建技术(ASIR-V) 重建图像的质量. 方法: 使用Gammex 标准CT …
与自适应统计迭代重建技术(ASIR-V) 重建图像的质量. 方法: 使用Gammex 标准CT …