Clinical Evidence

Representative image of white paper on core algorithm of SwiftMR

SwiftMR™ 핵심 알고리즘에
대한 소개

에어스메디컬의 ‘정근우, SwiftMR™ 제품 연구 팀장’이 저술한 “All-in-One Deep Learning Framework for MR Image Reconstruction” 논문은 MRI 기술의 획기적인 혁신을 보여줍니다. 자사의 딥러닝 알고리즘은, 기존 모델들과는 달리, 모든 측면에서의 영상 품질 향상을 한번에 달성합니다. 즉, 다차원적인 영상 품질 향상을 통해 MR 이미지 재구성 과정을 간소화하고 전통적인 방법을 능가하는 혁신적인 성능을 제공합니다.

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...
Introduction to the Core Algorithm of SwiftMR™
Technical Paper All-in-One Deep Learning Framework for MR Image Reconstruction Key Innovation The article, “All-in-One Deep Learning Framework for MR Image Reconstruction,” highlights a groundbreaking innovation in MRI technology. This deep...
Optimizing SwiftMR™ Protocols
Technical White Paper Optimizing SwiftMR Protocols for Diverse Applications Download the white paper Please enable JavaScript in your browser to complete this form.Please enable JavaScript in your browser to complete this form.LayoutCompany *Job Title...
Deep Learning-based Image Enhancement Techniques for Fast MRI in Neuroimaging
Peer-Reviewed Article Deep Learning-based Image Enhancement Techniques for Fast MRI in Neuroimaging Our Summary This review paper explores existing literature on the diverse applications of deep learning reconstruction (DLR) techniques for fast MR neuroimaging....
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...
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...
SwiftMR™ Enhances Revenue while Reducing Wait Times and Operational Costs
Review Article Harnessing Artificial Intelligence in Radiology to Augment Population Health Results AI applications can enhance imaging processes, reduce scan times, and improve image quality, thereby increasing efficiency. SwiftMR’s technology...
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...
High-Resolution Bone Image from shoulder MRI Using Deep Neural Network on 3-D Accelerated Dixon GRE
Conference abstract | KCR 2023 High-Resolution Bone Image from shoulder MRI Using Deep Neural Network on 3-D Accelerated Dixon GRE (CAIPIRINHA Dixon) Authors Sheen Woo Lee1, Seungwook Yang2, Jooyeon Kim2 1The Catholic University of Korea, Eunpyeong St....
DL-based MR Reconstruction Improves Robustness of Brain Volumetry in Low-Quality MR Images
Conference Abstract | KCR 2023 Deep Learning-based MR Reconstruction Improves Robustness of Brain Volumetry in Low-Quality MR Images Authors Woojin Jung1, Koung Mi Kang2 1AIRS Medical Inc, Korea, Republic of, 2Seoul National University Hospital, Korea,...