The continued evolution of exceptional deep-learning-based MR imaging
MR imaging is a dynamic field that is constantly evolving, with new applications and imaging markets emerging. Some of these applications come with substantial technical challenges, such as cardiac imaging, which has traditionally been challenged by phase artifacts and the need for rapid image acquisition. Deep-learning reconstruction methods, such as AIR™ Recon DL, have helped to increase spatial resolution, while allowing for shorter image acquisition times. Beyond AIR™ Recon DL, Sonic DL™ is GE HealthCare’s latest and most rapid MR acceleration technique that can achieve substantial reduction in scan time of cine acquisitions in cardiac imaging – up to 83% versus a fully sampled acquisition. In this issue of SIGNA™ Pulse of MR, Dr. Makoto Orii from Iwate Medical University in Japan relates his initial experience with Sonic DL™ Cine for evaluating ventricular function in the expanding market of cardiac MR. Dr. Melany Atkins from Fairfax Radiological Consultants in the US also discusses the impact of Sonic DL™ in cardiac cine acquisitions in evaluating patients with cardiac dysrhythmias.
News
The continued evolution of exceptional deep-learning-based MR imaging
The global impact of AIR Recon DL
Introducing a new champion in high-performance wide bore MR
In Practice
Cardiac MR in less than 30 minutes with deep-learning technology
Reliable and rapid real-time 2D cine with deep-learning technology for robust free-breathing cardiac MR
Technical and practical considerations for robust MR neurography
Advanced MR imaging with AI from peripheral nerves to knee cartilage and trauma
Delivering resolution, speed and comfort in MR breast imaging at Lovelace Women’s Hospital
PET/MR revolutionizes the assessment of prostate cancer and pelvic malignancies
Upgrading MR systems for enhanced efficiency, quality and eco-friendliness
An upgrade facilitating fast, high SNR fetal imaging with greater patient comfort
Case Studies
Fast, high-quality abdominal imaging with advanced deep-learning image reconstruction technology
Reducing scan time and simultaneously improving image quality in pediatric imaging
PROPELLER DWI for minimizing susceptibility artifacts in MCA clip follow-up exams
High spatial resolution and SNR for brain volumetry and white-gray matter delineation
High spatial resolution imaging for the depiction of microadenoma in the pituitary gland
High spatial resolution and SNR imaging of schwannoma for radiosurgery planning
Deep-learning-based technology improves multiparametric MR imaging in the prostate
Pushing the limits of oncologic pelvic MR imaging with 3D and motion-insensitive acquisitions
Tech Trends
