Deep learning-based image enhancement for improved black blood imaging in brain metastasis

Peer-Reviewed Research Deep learning-based image enhancement for improved black blood imaging in brain metastasis Our summary This study explored the use of SwiftMR for detecting brain metastases. The findings showed significant improvements in both quantitative and qualitative image quality across MRI scanners from all three major vendors. Diagnostic performance—particularly sensitivity and lesion conspicuity—was also significantly […]
SwiftMR Improves Image Quality and Diagnostic Performance of 4D Time-Resolved, Contrast-Enhanced MRA for Ischemic Stroke Imaging
Peer-Reviewed Research Deep Learning-Based High-Resolution Magnetic Resonance Angiography (MRA) Generation Model for 4D Time-Resolved Angiography with Interleaved Stochastic Trajectories (TWIST) MRA in Fast Stroke Imaging Our summary This study investigated the improvement of image quality and diagnostic performance utilizing SwiftMR for time-resolved, contrast-enhanced magnetic resonance angiography (CE-MRA) in fast stroke imaging. Specifically, relatively low signal-to-noise […]
SwiftMR™ Enhances Brain Epilepsy Image Quality
Peer-Reviewed Research Improving Diagnostic Performance of MRI for Temporal Lobe Epilepsy With Deep Learning-Based Image Reconstruction in Patients With Suspected Focal Epilepsy Our summary This study explores the integration of SwiftMR in enhancing the image quality of brain epilepsy imaging. The research utilized SwiftMR to improve the image quality and detail of thin-section brain MRI […]
SwiftMR™ Accelerates Lumbar Spine MRI
Peer-Reviewed Research Deep learning–based reconstruction for acceleration of lumbar spine MRI: a prospective comparison with standard MRI Our summary This study investigated the application of SwiftMR in enhancing the efficiency and quality of MRI scans for degenerative lumbar spine diseases in a tertiary hospital environment. By comparing the standard-of-care (SOC) L-spine MRI with accelerated MRI […]
SwiftMR™ Enhances Speed and Accuracy of Knee MRI
Peer-Reviewed Research Highly accelerated knee magnetic resonance imaging using deep neural network (DNN)–based reconstruction: prospective, multi-reader, multi-vendor study Our summary This study evaluated the performance of SwiftMR in accelerating the knee imaging protocol. 45 participants with knee pain were scanned on three MRI scanners from three different vendors, where the findings suggested that the scan […]