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 …
however, long pulse sequence acquisition times may restrict patient tolerability and access …
One model to synthesize them all: Multi-contrast multi-scale transformer for missing data imputation
Multi-contrast magnetic resonance imaging (MRI) is widely used in clinical practice as each
contrast provides complementary information. However, the availability of each imaging …
contrast provides complementary information. However, the availability of each imaging …
Deep learning‐based convolutional neural network for intramodality brain MRI synthesis
Purpose The existence of multicontrast magnetic resonance (MR) images increases the
level of clinical information available for the diagnosis and treatment of brain cancer …
level of clinical information available for the diagnosis and treatment of brain cancer …
Denoising diffusion-based MRI to CT image translation enables automated spinal segmentation
Background Automated segmentation of spinal magnetic resonance imaging (MRI) plays a
vital role both scientifically and clinically. However, accurately delineating posterior spine …
vital role both scientifically and clinically. However, accurately delineating posterior spine …
Deep learning–generated synthetic MR imaging STIR spine images are superior in image quality and diagnostically equivalent to conventional STIR: a multicenter …
LN Tanenbaum, SC Bash… - American Journal …, 2023 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Deep learning image reconstruction allows faster MR
imaging acquisitions while matching or exceeding the standard of care and can create …
imaging acquisitions while matching or exceeding the standard of care and can create …
Generative adversarial networks for spine imaging: A critical review of current applications
K Vrettos, E Koltsakis, AH Zibis, AH Karantanas… - European Journal of …, 2024 - Elsevier
Purpose In recent years, the field of medical imaging has witnessed remarkable
advancements, with innovative technologies which revolutionized the visualization and …
advancements, with innovative technologies which revolutionized the visualization and …
Aue-net: Automated generation of ultrasound elastography using generative adversarial network
Q Zhang, J Zhao, X Long, Q Luo, R Wang, X Ding… - Diagnostics, 2022 - mdpi.com
Problem: Ultrasonography is recommended as the first choice for evaluation of thyroid
nodules, however, conventional ultrasound features may not be able to adequately predict …
nodules, however, conventional ultrasound features may not be able to adequately predict …
Implementation of GAN-based, synthetic T2-weighted fat saturated images in the routine radiological workflow improves spinal pathology detection
S Schlaeger, K Drummer, ME Husseini, F Kofler… - Diagnostics, 2023 - mdpi.com
(1) Background and Purpose: In magnetic resonance imaging (MRI) of the spine, T2-
weighted (T2-w) fat-saturated (fs) images improve the diagnostic assessment of pathologies …
weighted (T2-w) fat-saturated (fs) images improve the diagnostic assessment of pathologies …
Synthetic T2-weighted fat sat based on a generative adversarial network shows potential for scan time reduction in spine imaging in a multicenter test dataset
S Schlaeger, K Drummer, M El Husseini, F Kofler… - European …, 2023 - Springer
Abstract Objectives T2-weighted (w) fat sat (fs) sequences, which are important in spine MRI,
require a significant amount of scan time. Generative adversarial networks (GANs) can …
require a significant amount of scan time. Generative adversarial networks (GANs) can …
Postoperative Bildgebung der Wirbelsäule
S Schlaeger, JS Kirschke - Die Radiologie, 2022 - Springer
Zusammenfassung Die Bildgebung der postoperativen Wirbelsäule hat im Wesentlichen
zwei Aufgaben: Sie dient der Kontrolle des operativen Erfolgs und der Identifikation von …
zwei Aufgaben: Sie dient der Kontrolle des operativen Erfolgs und der Identifikation von …