[HTML][HTML] Diagnostic performance of deep learning–based reconstruction algorithm in 3D MR neurography

F Ensle, M Kaniewska, A Tiessen, M Lohezic… - Skeletal Radiology, 2023 - Springer
Objective The study aims to evaluate the diagnostic performance of deep learning–based
reconstruction method (DLRecon) in 3D MR neurography for assessment of the brachial and …

Optimized 3D brachial plexus MR neurography using deep learning reconstruction

DB Sneag, SC Queler, G Campbell, PG Colucci, J Lin… - Skeletal Radiology, 2024 - Springer
Objective To evaluate whether 'fast,'unilateral, brachial plexus, 3D magnetic resonance
neurography (MRN) acquisitions with deep learning reconstruction (DLR) provide similar …

Diagnostic contribution of contrast-enhanced 3D MR imaging of peripheral nerve pathology

S Deshmukh, K Tegtmeyer, M Kovour, S Ahlawat… - Skeletal Radiology, 2021 - Springer
Objective To assess the diagnostic contribution of contrast-enhanced 3D STIR (ce3D-SS)
high-resolution magnetic resonance (MR) imaging of peripheral nerve pathology relative to …

Evaluation of deep learning reconstructed high-resolution 3D lumbar spine MRI

S Sun, ET Tan, DN Mintz, M Sahr, Y Endo, J Nguyen… - European …, 2022 - Springer
Objectives To compare interobserver agreement and image quality of 3D T2-weighted fast
spin echo (T2w-FSE) L-spine MRI images processed with a deep learning reconstruction …

Deep learning reconstruction for 1.5 T cervical spine MRI: effect on interobserver agreement in the evaluation of degenerative changes

K Yasaka, T Tanishima, Y Ohtake, T Tajima, H Akai… - European …, 2022 - Springer
Objectives To investigate whether deep learning reconstruction (DLR) provides improved
cervical spine MR images using a 1.5 T unit in the evaluation of degenerative changes …

[HTML][HTML] High isotropic resolution T2 mapping of the lumbosacral plexus with T2-prepared 3D turbo spin echo

N Sollmann, D Weidlich, B Cervantes, E Klupp… - Clinical …, 2019 - Springer
Purpose Isotropic high-resolution three-dimensional (3D) magnetic resonance neurography
(MRN) is increasingly used to depict even small and highly oblique nerves of the …

Accelerated 3D MR neurography of the brachial plexus using deep learning–constrained compressed sensing

S Hu, Y Xiao, W Peng, W Zeng, Y Zhang, X Zhang… - European …, 2024 - Springer
Objectives To explore the use of deep learning–constrained compressed sensing (DLCS) in
improving image quality and acquisition time for 3D MRI of the brachial plexus. Methods Fifty …

Multi-echo in steady-state acquisition improves MRI image quality and lumbosacral radiculopathy diagnosis efficacy compared with T2 fast spin-echo sequence

S Hu, Y Li, B Hou, Y Zhang, WV Liu, G Wu, X Li - Neuroradiology, 2023 - Springer
Purpose This study compares the performance of a 4-min multi-echo in steady-state
acquisition (MENSA) with a 6-min fast spin echo with variable flip angle (CUBE) protocol for …

Deep learning–based reconstruction for acceleration of lumbar spine MRI: a prospective comparison with standard MRI

H Yoo, RE Yoo, SH Choi, I Hwang, JY Lee, JY Seo… - European …, 2023 - Springer
Objective To compare the image quality and diagnostic performance between standard
turbo spin-echo MRI and accelerated MRI with deep learning (DL)–based image …

MR neurography with multiplanar reconstruction of 3D MRI datasets: an anatomical study and clinical applications

W Freund, A Brinkmann, F Wagner, A Dinse, AJ Aschoff… - Neuroradiology, 2007 - Springer
Introduction Extracranial MR neurography has so far mainly been used with 2D datasets. We
investigated the use of 3D datasets for peripheral neurography of the sciatic nerve. Methods …