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) …
Clinical feasibility of accelerated diffusion weighted imaging of the abdomen with deep learning reconstruction: comparison with conventional diffusion weighted …
SH Bae, J Hwang, SS Hong, EJ Lee, J Jeong… - European journal of …, 2022 - Elsevier
Purpose To assess the clinical feasibility of accelerated deep learning–reconstructed
diffusion weighted imaging (DWI) and to compare its image quality and acquisition time with …
diffusion weighted imaging (DWI) and to compare its image quality and acquisition time with …
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) …
Development and evaluation of deep learning-accelerated single-breath-hold abdominal HASTE at 3 T using variable refocusing flip angles
J Herrmann, D Nickel, JP Mugler III… - Investigative …, 2021 - journals.lww.com
Objective Deep learning (DL) reconstruction enables substantial acceleration of image
acquisition while maintaining diagnostic image quality. The aims of this study were to …
acquisition while maintaining diagnostic image quality. The aims of this study were to …
Analysis of a deep learning-based superresolution algorithm tailored to partial fourier gradient echo sequences of the abdomen at 1.5 T: reduction of breath-hold time …
Objectives The aim of this study was to investigate the feasibility and impact of a novel deep
learning superresolution algorithm tailored to partial Fourier allowing retrospectively …
learning superresolution algorithm tailored to partial Fourier allowing retrospectively …