Deep learning applications in magnetic resonance imaging: has the future become present?
Deep learning technologies and applications demonstrate one of the most important
upcoming developments in radiology. The impact and influence of these technologies on …
upcoming developments in radiology. The impact and influence of these technologies on …
Accelerated T2-weighted TSE imaging of the prostate using deep learning image reconstruction: a prospective comparison with standard T2-weighted TSE imaging
Simple Summary Multiparametric magnetic resonance imaging (mpMRI) has become an
important diagnostic tool in the assessment of clinically significant prostate cancer. The …
important diagnostic tool in the assessment of clinically significant prostate cancer. The …
[HTML][HTML] Deep learning-based super-resolution gradient echo imaging of the pancreas: Improvement of image quality and reduction of acquisition time
Purpose The purpose of this study was to evaluate the impact of a deep learning-based
super-resolution technique on T1-weighted gradient-echo acquisitions (volumetric …
super-resolution technique on T1-weighted gradient-echo acquisitions (volumetric …
Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard …
J Herrmann, G Keller, S Gassenmaier, D Nickel… - European …, 2022 - Springer
Objectives The aim of this study was to evaluate the image quality and diagnostic
performance of a deep-learning (DL)–accelerated two–dimensional (2D) turbo spin echo …
performance of a deep-learning (DL)–accelerated two–dimensional (2D) turbo spin echo …
[HTML][HTML] Current landscape and future perspectives of abbreviated MRI for hepatocellular carcinoma surveillance
HJ Park, N Seo, SY Kim - Korean Journal of Radiology, 2022 - ncbi.nlm.nih.gov
While ultrasound (US) is considered an important tool for hepatocellular carcinoma (HCC)
surveillance, it has limited sensitivity for detecting early-stage HCC. Abbreviated MRI (AMRI) …
surveillance, it has limited sensitivity for detecting early-stage HCC. Abbreviated MRI (AMRI) …
[HTML][HTML] Acquisition time reduction of diffusion-weighted liver imaging using deep learning image reconstruction
S Afat, J Herrmann, H Almansour, T Benkert… - Diagnostic and …, 2023 - Elsevier
Purpose The purpose of this study was to investigate the impact of deep learning
accelerated diffusion-weighted imaging (DWI DL) in 1.5-T liver MRI on image quality …
accelerated diffusion-weighted imaging (DWI DL) in 1.5-T liver MRI on image quality …
Deep learning-enhanced parallel imaging and simultaneous multislice acceleration reconstruction in knee MRI
Objectives This study aimed to examine various combinations of parallel imaging (PI) and
simultaneous multislice (SMS) acceleration imaging using deep learning (DL)-enhanced …
simultaneous multislice (SMS) acceleration imaging using deep learning (DL)-enhanced …
Feasibility of deep learning k-space-to-image reconstruction for diffusion weighted imaging in patients with breast cancers: Focus on image quality and reduced scan …
EJ Lee, YW Chang, JK Sung, B Thomas - European Journal of Radiology, 2022 - Elsevier
Purpose This study aimed to evaluate the feasibility of accelerated DLR (deep learning
reconstruction) single-shot echo planar imaging (ss-EPI) for diffusion-weighted image (DWI) …
reconstruction) single-shot echo planar imaging (ss-EPI) for diffusion-weighted image (DWI) …
Thin-slice prostate MRI enabled by deep learning image reconstruction
S Gassenmaier, V Warm, D Nickel, E Weiland… - Cancers, 2023 - mdpi.com
Simple Summary Multi-parametric MRI (mpMRI) of the prostate is one emerging tool for early
detection of clinically-significant cancer. Standard acquisition protocols provide a slice …
detection of clinically-significant cancer. Standard acquisition protocols provide a slice …
Deep Learning–Accelerated Liver Diffusion-Weighted Imaging: Intraindividual Comparison and Additional Phantom Study of Free-Breathing and Respiratory …
Objectives Deep learning–reconstructed diffusion-weighted imaging (DL-DWI) is an
emerging promising time-efficient method for liver evaluation, but analyses regarding …
emerging promising time-efficient method for liver evaluation, but analyses regarding …