Search Results - medical+devices+%3e+medical+imaging+%3e+mri

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Summary: UCLA researchers have developed a software algorithm for locally low-rank denoising that improves image quality and diagnostic reliability in multi-coil, multi-contrast MRI by correcting complex noise and preserving fine image details. Background: Magnetic resonance imaging (MRI) is a powerful, non-invasive tool widely used in both research...

Published: 12/1/2025 | Inventor(s): Shu-Fu Shih, Holden Wu

Keywords(s): 3D tissue imaging, AI-guided medical imaging, Biomedical Engineering, Cardiac MRI, Cine MRI, Deep learning MRI, DENSE MRI, Imaging, Magnetic Resonance Imaging, Magnetic Resonance Imaging Carotid Artery Stenosis, Magnetic Resonance Imaging Hypoxia (Medical), Magnetic Resonance Imaging Medical Physics, Magnetic Resonance Imaging Microangiopathy, Magnetic Resonance Imaging Pathology, Magnetic Resonance Imaging Spin Polarization, Medical artificial intelligence (AI), Medical Device, Medical Devices and Materials, Medical diagnostics, Medical Imaging, MRI, multiparametric MRI (mpMRI), radial MRI

Category(s): Electrical > Imaging, Electrical > Signal Processing, Life Science Research Tools > Research Methods, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > MRI, Software & Algorithms > Image Processing, Software & Algorithms

Method and Apparatus for Improving the Signal-To-Noise Ratio in Multi-Dimensional Magnetic Resonance Imaging Data (Case No. 2025-204)

Summary: UCLA researchers have developed a software-based denoising method that makes cardiac MRI images clearer and more reliable, enabling more accurate heart function measurements without requiring longer scan times. Background: Cardiac MRI is a powerful imaging tool for assessing heart health because it can provide detailed pictures of how the...

Published: 11/13/2025 | Inventor(s): Xiaodong Zhong, Shu-Fu Shih, Holden Wu, Kim-Lien Nguyen

Category(s): Medical Devices > Cardiac, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > MRI, Software & Algorithms > Image Processing, Software & Algorithms

Method and Apparatus for Acceleration of Dense MR Data Acquisition (Case No. 2025-226)

Summary: UCLA researchers from the Department of Radiological Sciences have developed a novel acquisition and reconstruction strategy that accelerates Displacement Encoding with Stimulated Echoes (DENSE) MRI, enabling faster and clinically feasible cardiac strain measurement. Background: Myocardial strain is an important biomarker for assessing how...

Published: 11/19/2025 | Inventor(s): Xiaodong Zhong, Shu-Fu Shih

Keywords(s):

Category(s): Electrical > Imaging, Electrical > Signal Processing, Medical Devices > Cardiac, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > MRI, Platforms > Diagnostic Platform Technologies, Software & Algorithms > Data Analytics, Software & Algorithms, Software & Algorithms > Image Processing

INSPIROMARK (Case No. 2025-293)

Summary: UCLA researchers have developed InspiroMark, a standardized, implantable imaging marker designed to enhance the efficiency, reliability and ease of grafted vessel localization following coronary artery bypass graft (CABG). Background: Coronary Artery Bypass Graft (CABG) surgery is a common procedure used to restore blood flow to the heart....

Published: 10/30/2025 | Inventor(s): Sneha Shaha, Michael Malig, Sukhneet Dhillon

Keywords(s):

Category(s): Diagnostic Markers, Medical Devices, Medical Devices > Cardiac, Medical Devices > Medical Imaging > CT, Medical Devices > Medical Imaging > MRI, Medical Devices > Medical Imaging > X-Ray, Medical Devices > Medical Imaging > Fluorescence, Medical Devices > Monitoring And Recording Systems, Medical Devices > Surgical Tools, Therapeutics > Cardiovascular, Therapeutics > Radiology, Therapeutics > Transplant

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: 10/17/2025 | 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

A Denoising Technique for Multi-Contrast Multi-Coil Magnetic Resonance Imaging (Case No. 2024-233)

Summary: UCLA researchers in the Department of Radiological Sciences have developed a novel MRI denoising technique that enhances image clarity, sensitivity, and precision by significantly reducing distortion and noise. Background: Magnetic resonance imaging (MRI) is critical for medical diagnosis, but image quality depends on achieving a high signal-to-noise...

Published: 12/4/2025 | Inventor(s): Holden Wu, Shu-Fu Shih, Zhaohuan Zhang

Keywords(s): Cardiac Magnetic Resonance Imaging, Image Processing, Magnetic Resonance Imaging, Magnetic Resonance Imaging Carotid Artery Stenosis, Magnetic Resonance Imaging Hypoxia (Medical), Magnetic Resonance Imaging Medical Physics, Magnetic Resonance Imaging Pathology, Medical Device, medical device cardiac monitoring, Medical Devices and Materials, Medical diagnostics, Medical Imaging, MRI, multi-contrast imaging, Signal-To-Noise Ratio

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

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

Resting-State Functional Magnetic Resonance Imaging Derived From Dynamic Perfusion Imaging (Case No. 2023-126)

Intro Sentence: UCLA researchers in the Department of Radiology have developed a novel method for obtaining simultaneous perfusion and functional MRI data from a single MRI acquisition to improve the diagnosis, monitoring, and management of brain tumors and stroke. Background: Advanced magnetic resonance imaging (MRI) techniques are crucial for...

Published: 2/14/2025 | Inventor(s): Benjamin Ellingson, Nicholas Cho, Chencai Wang

Keywords(s):

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

A Deep-Learning Framework for Quantitative Magnetic Resonance Imaging (Case No. 2021-268)

Summary: Researchers from UCLA’s Departments of Bioengineering and Radiological Sciences have developed a novel deep learning framework for accelerated quantitative magnetic resonance imaging. Background: Fatty liver disease, or hepatic steatosis, affects nearly 2 billion people globally and has pernicious implications for deadlier diseases...

Published: 7/17/2025 | Inventor(s): Holden Wu, Shu-Fu Shih

Keywords(s): Deep Learning, fat quantification, IIM framework, Imaging, Medical Imaging, Metabolic/Endocrinology, MRI, multiparametric MRI (mpMRI), radial MRI, uncertainty estimation

Category(s): Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > MRI, Electrical, Electrical > Imaging, Software & Algorithms

Multi-Resolution Model With Attention for Whole Slide Image Analysis Trained Using Weak Labels (UCLA Case No. 2019-943)

Summary: UCLA Researchers in the Department of Radiology have developed a computer-aided diagnostic model that uses histology slides to interpret and detect prostate cancer diagnoses with high levels of accuracy. Background: In the United States, prostate cancer ranks as the most prevalent and second deadliest cancer among men. Diagnosing this...

Published: 7/17/2025 | Inventor(s): Corey Arnold, Jiayun Li, William Speier

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Artificial Neural Network, Digital Health, Digital Holography, Digital immunohistology, Digital Pathology, Machine Learning, Magnetic Resonance Imaging Pathology, MRI

Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Digital Health, Software & Algorithms > Artificial Intelligence & Machine Learning, Diagnostic Markers, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > MRI, Optics & Photonics

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