Search Results - kim-lien+nguyen

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Method and Apparatus for Segmentation of Dense MR Images Using Deep Learning with Domain Adaptation (Case No. 2025-208)

Summary: UCLA researchers from the Department of Radiological Sciences have developed a deep learning-based segmentation framework that enables fully automated and reproducible analysis of left ventricular (LV) function in Displacement Encoding with Stimulated Echoes (DENSE) MRI. Background: Myocardial strain is a key metric for analyzing how much...

Published: 8/18/2025 | Inventor(s): Xiaodong Zhong, Siyue Li, Kim-Lien Nguyen

Keywords(s): acute myocardial infarction, adjustable mount, aneurysm drainage, automatic leveling, bedside decisions, blood pressure monitoring, cardiac cycle, Cardiac Electrophysiology, Cardiac failure, Cardiac Magnetic Resonance Imaging, Cardiac MRI, Cardiovascular, Cardiovascular Disease, Cardiovascular Disease Nephropathy, cardiovascular diseases, cardiovascular monitoring, cerebrospinal fluid (CSF) drainage, Cine MRI, clamp, critical-care, CSF drainage, Deep learning MRI, DENSE MRI, laser alignment, Left ventricular segmentation, lumbar drains, Motion analysis, MRI, multiparametric MRI (mpMRI), Myocardial strain, non-invasive cardiac monitoring, operator variability, passive reflective target, phlebostatic axis measurement, Pseudo-labeling, radial MRI, Segment Anything Model (SAM), self-leveling system, transducer alignment, Unsupervised domain adaptation (UDA)

Category(s): Medical Devices > Cardiac, Electrical > Imaging, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing, Therapeutics > Cardiovascular, Therapeutics > Radiology, Medical Devices > Medical Imaging > MRI, Medical Devices > Medical Imaging

Method for Non-invasive Assessment of Pressure and Cardiac Efficiency (Case No. 2024-258)

Summary: Researchers in the Department of Medicine and Radiological Sciences at UCLA have developed a novel computational model for estimating ventricular mechanical efficiency using routine clinical exam practices. Background: Congenital heart disease (CHD) involves complex heart defects that make it harder for the heart to pump blood effectively....

Published: 8/7/2025 | Inventor(s): Kim-Lien Nguyen, Sanjib Gurung, John Finn

Keywords(s): acute myocardial infarction, Blood Pressure, Catheterization, heart disease mitigation, heart failure, heart support, hemodynamic monitoring, ventricular system

Category(s): Therapeutics > Cardiovascular, Therapeutics > Radiology, Medical Devices > Cardiac, Medical Devices > Monitoring And Recording Systems, Therapeutics > Inflammation And Inflammatory Diseases, Medical Devices > Medical Imaging, Software & Algorithms > Bioinformatics

An Adaptive Approach for Synthetic Microvascular Network Generation (Case No. 2024-259)

Summary: UCLA researchers from the Department of Medicine have developed a method for synthetic microvascular network generation for improved coronary disease monitoring. Background: Synthetic microvascular network modeling can be used in diagnosing and managing microvascular diseases such as coronary microvascular disease (CMD). CMD is traditionally...

Published: 6/24/2025 | Inventor(s): Kim-Lien Nguyen, Mostafa Mahmoudi, Amirhosseini Arzani

Keywords(s):

Category(s): Medical Devices, Medical Devices > Cardiac, Medical Devices > Hospital Systems, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems, Software & Algorithms, Software & Algorithms > Digital Health

A Dynamic and Adaptive Approach for Resolving Motion (Case No. 2024-250)

Summary: UCLA researchers in the Department of Radiology have developed a novel method to capture time-varying and irregular cardiac motion, producing high-precision, high-quality cine images. Background: Cine MRI is a specialized imaging technique that captures motion through a series of images, often used to evaluate cardiac function and morphology....

Published: 4/21/2025 | Inventor(s): Zhengyang Ming, Dan Ruan, Anthony Christodoulou, Kim-Lien Nguyen

Keywords(s): arrhythmia, Biomonitoring, Cardiac Magnetic Resonance Imaging, cardiovascular diseases, cardiovascular monitoring, Image Resolution, Imaging, Magnetic Resonance Imaging, Medical Device, medical device cardiac monitoring, Medical Imaging, Monitoring And Recording Systems, MRI, non-invasive cardiac monitoring, optimization

Category(s): Medical Devices, Medical Devices > Cardiac, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > MRI, Medical Devices > Monitoring And Recording Systems