Deep learning image reconstruction for CT: technical principles and clinical prospects

LR Koetzier, D Mastrodicasa, TP Szczykutowicz… - Radiology, 2023 - pubs.rsna.org
Filtered back projection (FBP) has been the standard CT image reconstruction method for 4
decades. A simple, fast, and reliable technique, FBP has delivered high-quality images in …

[HTML][HTML] 2022 KLCA-NCC Korea practice guidelines for the management of hepatocellular carcinoma

Korean Liver Cancer Association - Korean Journal of Radiology, 2022 - ncbi.nlm.nih.gov
Hepatocellular carcinoma (HCC) is the fifth most common cancer worldwide and the fourth
most common cancer among men in South Korea, where the prevalence of chronic hepatitis …

Deep learning reconstruction CT for liver metastases: low-dose dual-energy vs standard-dose single-energy

P Lyu, Z Li, Y Chen, H Wang, N Liu, J Liu, P Zhan… - European …, 2024 - Springer
Objectives To assess image quality and liver metastasis detection of reduced-dose dual-
energy CT (DECT) with deep learning image reconstruction (DLIR) compared to standard …

Is it possible to use low-dose deep learning reconstruction for the detection of liver metastases on CT routinely?

P Lyu, N Liu, B Harrawood, J Solomon, H Wang… - European …, 2023 - Springer
Objectives To compare the image quality and hepatic metastasis detection of low-dose deep
learning image reconstruction (DLIR) with full-dose filtered back projection (FBP)/iterative …

Enhanced visualization in endoleak detection through iterative and AI-noise optimized spectral reconstructions

W Kazimierczak, N Kazimierczak, J Wilamowska… - Scientific Reports, 2024 - nature.com
To assess the image quality parameters of dual-energy computed tomography angiography
(DECTA) 40-, and 60 keV virtual monoenergetic images (VMIs) combined with deep …

Low-contrast-dose liver CT using low monoenergetic images with deep learning–based denoising for assessing hepatocellular carcinoma: a randomized controlled …

JS Bae, JM Lee, SW Kim, S Park, S Han, JH Yoon… - European …, 2023 - Springer
Objective Low monoenergetic images obtained using noise-reduction techniques may
reduce CT contrast media requirements. We aimed to investigate the effectiveness of low …

Improving lesion conspicuity in abdominal dual-energy CT with deep learning image reconstruction: a prospective study with five readers

J Zhong, L Wang, H Shen, J Li, W Lu, X Shi, Y Xing… - European …, 2023 - Springer
Objectives To evaluate image quality, diagnostic acceptability, and lesion conspicuity in
abdominal dual-energy CT (DECT) using deep learning image reconstruction (DLIR) …

Comparison of CT noise reduction performances with deep learning-based, conventional, and combined denoising algorithms

ZA Balogh, BJ Kis - Medical Engineering & Physics, 2022 - Elsevier
Conventional noise reduction algorithms have been used in image processing for a very
long time, but recently, deep learning-based algorithms have been shown to significantly …

A Systematic Literature Review of 3D Deep Learning Techniques in Computed Tomography Reconstruction

H Rahman, AR Khan, T Sadiq, AH Farooqi, IU Khan… - Tomography, 2023 - mdpi.com
Computed tomography (CT) is used in a wide range of medical imaging diagnoses.
However, the reconstruction of CT images from raw projection data is inherently complex …

2022 KLCA-NCC Korea practice guidelines for the management of hepatocellular carcinoma

JW Park - Clinical and Molecular Hepatology (대한간학회지), 2022 - kiss.kstudy.com
Hepatocellular carcinoma (HCC) is the fifth most common cancer worldwide and the fourth
most common cancer among men in South Korea, where the prevalence of chronic hepatitis …