CT and MRI of abdominal cancers: current trends and perspectives in the era of radiomics and artificial intelligence
Abdominal cancers continue to pose daily challenges to clinicians, radiologists and
researchers. These challenges are faced at each stage of abdominal cancer management …
researchers. These challenges are faced at each stage of abdominal cancer management …
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 …
Contrast-enhanced thin-slice abdominal CT with super-resolution deep learning reconstruction technique: evaluation of image quality and visibility of anatomical …
A Nakamoto, H Onishi, T Ota, T Honda… - Japanese Journal of …, 2024 - Springer
Purpose To compare image quality and visibility of anatomical structures on contrast-
enhanced thin-slice abdominal CT images reconstructed using super-resolution deep …
enhanced thin-slice abdominal CT images reconstructed using super-resolution deep …
Accuracy of liver metastasis detection and characterization: Dual-energy CT versus single-energy CT with deep learning reconstruction
Purpose To assess whether image quality differences between SECT (single-energy CT)
and DECT (dual-energy CT 70 keV) with equivalent radiation doses result in altered …
and DECT (dual-energy CT 70 keV) with equivalent radiation doses result in altered …
Deep Learning-Based Versus Iterative Image Reconstruction for Unenhanced Brain CT: A Quantitative Comparison of Image Quality
A Cozzi, M Cè, G De Padova, D Libri, N Caldarelli… - Tomography, 2023 - mdpi.com
This exploratory retrospective study aims to quantitatively compare the image quality of
unenhanced brain computed tomography (CT) reconstructed with an iterative (AIDR-3D) …
unenhanced brain computed tomography (CT) reconstructed with an iterative (AIDR-3D) …
AI-based approaches in the daily practice of abdominal imaging
S Schmidt - European Radiology, 2024 - Springer
Over the last 7 years, the list of healthcare companies offering AI solutions and the number
of artificial intelligence (AI) tools for radiology has expanded dramatically [1]. Claiming that …
of artificial intelligence (AI) tools for radiology has expanded dramatically [1]. Claiming that …
[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 …
Enhancing image quality in computed tomography angiography follow-ups after endovascular aneurysm repair: a comparative study of reconstruction techniques
H Cai, H Jiang, D Xie, Z Lai, J Wu, M Chen, Z Yang… - BMC Medical …, 2024 - Springer
Background The image quality of computed tomography angiography (CTA) images
following endovascular aneurysm repair (EVAR) is not satisfactory, since artifacts resulting …
following endovascular aneurysm repair (EVAR) is not satisfactory, since artifacts resulting …
Dual-energy CT for differentiation of hypodense liver lesions in pancreatic adenocarcinoma
Methods In this retrospective HIPAA–compliant study (January 2016 through May 2023),
patients with biopsy-proven pancreatic adenocarcinoma and a biopsied indeterminate liver …
patients with biopsy-proven pancreatic adenocarcinoma and a biopsied indeterminate liver …
[HTML][HTML] Noise Reduction in Brain CT: A Comparative Study of Deep Learning and Hybrid Iterative Reconstruction Using Multiple Parameters
Y Inoue, H Itoh, H Hata, H Miyatake, K Mitsui, S Uehara… - Tomography, 2024 - mdpi.com
Objectives: We evaluated the noise reduction effects of deep learning reconstruction (DLR)
and hybrid iterative reconstruction (HIR) in brain computed tomography (CT). Methods: CT …
and hybrid iterative reconstruction (HIR) in brain computed tomography (CT). Methods: CT …