Artificial intelligence–driven ultra-fast superresolution MRI: 10-fold accelerated musculoskeletal turbo spin echo MRI within reach

DJ Lin, SS Walter, J Fritz - Investigative Radiology, 2023 - journals.lww.com
Magnetic resonance imaging (MRI) is the keystone of modern musculoskeletal imaging;
however, long pulse sequence acquisition times may restrict patient tolerability and access …

MRI‐based artificial intelligence in rectal cancer

C Wong, Y Fu, M Li, S Mu, X Chu, J Fu… - Journal of Magnetic …, 2023 - Wiley Online Library
Rectal cancer (RC) accounts for approximately one‐third of colorectal cancer (CRC), with
death rates increasing in patients younger than 50 years old. Magnetic resonance imaging …

Quality checkpoints in the MRI-directed prostate cancer diagnostic pathway

T Barrett, M de Rooij, F Giganti, C Allen… - Nature Reviews …, 2023 - nature.com
Multiparametric MRI of the prostate is now recommended as the initial diagnostic test for
men presenting with suspected prostate cancer, with a negative MRI enabling safe …

Evaluation of a deep learning-based reconstruction method for denoising and image enhancement of shoulder MRI in patients with shoulder pain

GC Feuerriegel, K Weiss, S Kronthaler, Y Leonhardt… - European …, 2023 - Springer
Objectives To evaluate the diagnostic performance of an automated reconstruction algorithm
combining MR imaging acquired using compressed SENSE (CS) with deep learning (DL) in …

Deep learning reconstruction in pediatric brain MRI: comparison of image quality with conventional T2-weighted MRI

SH Kim, YH Choi, JS Lee, SB Lee, YJ Cho, SH Lee… - Neuroradiology, 2023 - Springer
Introduction Deep learning–based MRI reconstruction has recently been introduced to
improve image quality. This study aimed to evaluate the performance of deep learning …

Impact of deep learning image reconstruction methods on MRI throughput

A Yang, M Finkelstein, C Koo, AH Doshi - Radiology: Artificial …, 2024 - pubs.rsna.org
Purpose To evaluate the effect of implementing two distinct commercially available deep
learning reconstruction (DLR) algorithms on the efficiency of MRI examinations conducted in …

Deep learning MRI reconstruction for accelerating turbo spin echo hand and wrist imaging: a comparison of image quality, visualization of anatomy, and detection of …

J Herrmann, S Gassenmaier, G Keller… - Academic …, 2023 - Elsevier
Rationale and Objectives Magnetic resonance imaging (MRI) of the hand and wrist is a
routine MRI examination and takes about 15-20 minutes, which can lead to problems …

Rapid 3D breath-hold MR cholangiopancreatography using deep learning–constrained compressed sensing reconstruction

Y Zhang, W Peng, Y Xiao, Y Ming, K Ma, S Hu… - European …, 2023 - Springer
Objectives To compare the image quality of three-dimensional breath-hold magnetic
resonance cholangiopancreatography with deep learning-based compressed sensing …

[HTML][HTML] Deep-learning-based image quality enhancement of CT-like MR imaging in patients with suspected traumatic shoulder injury

GC Feuerriegel, K Weiss, AT Van, Y Leonhardt… - European Journal of …, 2024 - Elsevier
Purpose To evaluate the diagnostic performance of CT-like MR images reconstructed with
an algorithm combining compressed sense (CS) with deep learning (DL) in patients with …

Deep learning–based acceleration of compressed sense MR imaging of the ankle

SC Foreman, J Neumann, J Han, N Harrasser… - European …, 2022 - Springer
Objectives To evaluate a compressed sensing artificial intelligence framework (CSAI) to
accelerate MRI acquisition of the ankle. Methods Thirty patients were scanned at 3T. Axial …