Deep learning image reconstruction improves visualization of arterial phase hyperenhancement and washout appearance on dual-energy CT for hepatocellular carcinoma: a non-inferiority study.

Improved virtual non-contrast images in liver dual-energy CT with deep learning algorithm for image reconstruction.

Super-Resolution Deep Learning Reconstruction for 3-Dimensional T1-Weighted Gradient-Echo Imaging in Contrast-Enhanced Liver MRI: Comparison With Conventional and Standard Deep Learning Reconstructions.

PURPOSE To evaluate the image quality of super-resolution deep learning reconstruction (SR-DLR) for 3-dimensional (3D) T1-weighted gradient-echo (GRE) imaging in contrast-enhanced MRI, compared with conventional reconstruction (Conv.) and standard deep learning reconstruction (DLR). MATERIALS AND METHODS This retrosp...

Deep Learning-Based Image Reconstruction in Ultra-High-Resolution CT Venography for Improved Visualization of Cerebral Venous Drainage.

Deep-learning-based reconstruction significantly enhances image quality and venous visualization in ultra-high-resolution CT venography compared with conventional iterative reconstruction, enabling detailed depiction of small venous structures.

Photon-counting detector CT for follow-up after TACE in hepatocellular carcinoma: effects of reconstruction kernel and sharpness.

PURPOSE To compare the performance of different reconstruction kernels and sharpness levels in photon-counting detector CT (PCD-CT) for post-transarterial chemoembolization (TACE) imaging of hepatocellular carcinoma (HCC), with particular emphasis on residual viable tumor conspicuity, and to identify reconstruction set...

Deep Learning Algorithm-Reconstructed Triple-Rule-Out CT: Image Quality and Performance in Evaluating Coronary Lumen Stenosis.

Multi-parameter imaging of dual-layer detector spectral CT in improving the imaging quality of gastrocolic trunk of henle (GTH)

To investigate the clinical application value of multi-parameter imaging with dual-layer detector spectral CT (DLCT) for GTH visualization. A total of 61 patients who underwent abdominal portal venous phase-enhanced SLCT were retrospectively enrolled. The raw image data were reconstructed into 120 kVp conventional imag...