AI-based reconstruction for fast MRI—A systematic review and meta-analysis

Y Chen, CB Schönlieb, P Liò, T Leiner… - Proceedings of the …, 2022 - ieeexplore.ieee.org
Compressed sensing (CS) has been playing a key role in accelerating the magnetic
resonance imaging (MRI) acquisition process. With the resurgence of artificial intelligence …

Emerging technology in musculoskeletal MRI and CT

R Kijowski, J Fritz - Radiology, 2023 - pubs.rsna.org
This article provides a focused overview of emerging technology in musculoskeletal MRI
and CT. These technological advances have primarily focused on decreasing examination …

Results of the 2020 fastMRI challenge for machine learning MR image reconstruction

MJ Muckley, B Riemenschneider… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Accelerating MRI scans is one of the principal outstanding problems in the MRI research
community. Towards this goal, we hosted the second fastMRI competition targeted towards …

Deep learning reconstruction enables prospectively accelerated clinical knee MRI

PM Johnson, DJ Lin, J Zbontar, CL Zitnick, A Sriram… - Radiology, 2023 - pubs.rsna.org
Background MRI is a powerful diagnostic tool with a long acquisition time. Recently, deep
learning (DL) methods have provided accelerated high-quality image reconstructions from …

Deep learning–accelerated T2-weighted imaging of the prostate: Reduction of acquisition time and improvement of image quality

S Gassenmaier, S Afat, D Nickel, M Mostapha… - European Journal of …, 2021 - Elsevier
Purpose To introduce a novel deep learning (DL) T2-weighted TSE imaging (T2 DL)
sequence in prostate MRI and investigate its impact on examination time, image quality …

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 …

Deep learning reconstruction for accelerated spine MRI: prospective analysis of interchangeability

H Almansour, J Herrmann, S Gassenmaier, S Afat… - Radiology, 2022 - pubs.rsna.org
Background Deep learning (DL)–based MRI reconstructions can reduce examination times
for turbo spin-echo (TSE) acquisitions. Studies that prospectively employ DL-based …

Deep learning applications in magnetic resonance imaging: has the future become present?

S Gassenmaier, T Küstner, D Nickel, J Herrmann… - Diagnostics, 2021 - mdpi.com
Deep learning technologies and applications demonstrate one of the most important
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

S Gassenmaier, S Afat, MD Nickel, M Mostapha… - Cancers, 2021 - mdpi.com
Simple Summary Multiparametric magnetic resonance imaging (mpMRI) has become an
important diagnostic tool in the assessment of clinically significant prostate cancer. The …

Low-count whole-body PET with deep learning in a multicenter and externally validated study

AS Chaudhari, E Mittra, GA Davidzon, P Gulaka… - NPJ digital …, 2021 - nature.com
More widespread use of positron emission tomography (PET) imaging is limited by its high
cost and radiation dose. Reductions in PET scan time or radiotracer dosage typically …