Artificial intelligence in CT and MR imaging for oncological applications
Simple Summary The two most common cross-sectional imaging modalities, computed
tomography (CT) and magnetic resonance imaging (MRI), have shown enormous utility in …
tomography (CT) and magnetic resonance imaging (MRI), have shown enormous utility in …
Advanced CT techniques for assessing hepatocellular carcinoma
Y Nakamura, T Higaki, Y Honda, F Tatsugami… - La radiologia …, 2021 - Springer
Hepatocellular carcinoma (HCC) is the sixth-most common cancer in the world, and hepatic
dynamic CT studies are routinely performed for its evaluation. Ongoing studies are …
dynamic CT studies are routinely performed for its evaluation. Ongoing studies are …
Improving image quality and reducing radiation dose for pediatric CT by using deep learning reconstruction
Background CT deep learning reconstruction (DLR) algorithms have been developed to
remove image noise. How the DLR affects image quality and radiation dose reduction has …
remove image noise. How the DLR affects image quality and radiation dose reduction has …
[HTML][HTML] Task-based characterization of a deep learning image reconstruction and comparison with filtered back-projection and a partial model-based iterative …
Purpose We aimed to thoroughly characterize image quality of a novel deep learning image
reconstruction (DLIR), and investigate its potential for dose reduction in abdominal CT in …
reconstruction (DLIR), and investigate its potential for dose reduction in abdominal CT in …
Quantum iterative reconstruction for low-dose ultra-high-resolution photon-counting detector CT of the lung
T Sartoretti, D Racine, V Mergen, L Jungblut, P Monnin… - Diagnostics, 2022 - mdpi.com
The aim of this study was to characterize image quality and to determine the optimal strength
levels of a novel iterative reconstruction algorithm (quantum iterative reconstruction, QIR) for …
levels of a novel iterative reconstruction algorithm (quantum iterative reconstruction, QIR) for …
The future of CT: deep learning reconstruction
CM McLeavy, MH Chunara, RJ Gravell, A Rauf… - Clinical radiology, 2021 - Elsevier
There have been substantial advances in computed tomography (CT) technology since its
introduction in the 1970s. More recently, these advances have focused on image …
introduction in the 1970s. More recently, these advances have focused on image …
Photon-counting detector coronary CT angiography: impact of virtual monoenergetic imaging and iterative reconstruction on image quality
T Sartoretti, M McDermott, V Mergen… - The British Journal of …, 2023 - academic.oup.com
Objectives: To assess the impact of low kilo-electronvolt (keV) virtual monoenergetic image
(VMI) energies and iterative reconstruction on image quality of clinical photon-counting …
(VMI) energies and iterative reconstruction on image quality of clinical photon-counting …
Coronary stent evaluation by CTA: image quality comparison between super-resolution deep learning reconstruction and other reconstruction algorithms
Y Nagayama, T Emoto, H Hayashi… - American Journal of …, 2023 - Am Roentgen Ray Soc
BACKGROUND. A super-resolution deep learning reconstruction (SR-DLR) algorithm may
provide better image sharpness than earlier reconstruction algorithms and thereby improve …
provide better image sharpness than earlier reconstruction algorithms and thereby improve …
Radiation dose reduction for 80-kVp pediatric CT using deep learning–based reconstruction: a clinical and phantom study
Y Nagayama, M Goto, D Sakabe… - American Journal of …, 2022 - Am Roentgen Ray Soc
Please see the Editorial Comment by Aaron D. Hodes discussing this article.
BACKGROUND. Deep learning–based reconstruction (DLR) may facilitate CT radiation …
BACKGROUND. Deep learning–based reconstruction (DLR) may facilitate CT radiation …
Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT
Y Nakamura, K Narita, T Higaki, M Akagi, Y Honda… - European …, 2021 - Springer
Objectives We evaluated lower dose (LD) hepatic dynamic ultra-high-resolution computed
tomography (U-HRCT) images reconstructed with deep learning reconstruction (DLR) …
tomography (U-HRCT) images reconstructed with deep learning reconstruction (DLR) …