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

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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: 10/23/2024 | 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: 8/8/2024 | 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: 7/10/2024 | 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

2022-048 Flexible Radiofrequency (RF) Coil for Small Field-Of-View Magnetic Resonance Imaging (MRI)

Summary: UCLA researchers in the Department of Neurosurgery have developed a miniature flexible radiofrequency coil for MRI for the detection of small pathological lesions. Background: Magnetic resonance imaging (MRI) is a widely-used medical imaging modality, which can produce clear and contrasted pictures of human anatomy by utilizing magnetism...

Published: 5/21/2024 | Inventor(s): Marvin Bergsneider, Robert Candler, Kyung Hyun Sung, Siyuan Liu, Jiahao Lin

Keywords(s): coil design, coil simulation, Endoscopes, endoscopic devices, endoscopic endonasal surgery, Endoscopy, High-resolution, Image Resolution, MRI, pituitary gland, pituitary microadenomas, pituitary tumors, Radio Frequency Coil Human Factors And Ergonomics, radiofrequency (RF) coil, Radiofrequency Ablation, Signal Processing, Signal-To-Noise Ratio, Simulation & Modeling, simulation model, Spatial Multiplexing, spatial resolution, Surgery

Category(s): Life Science Research Tools, Life Science Research Tools > Microscopy And Imaging, Diagnostic Markers, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems, Platforms > Diagnostic Platform Technologies, Medical Devices > Medical Imaging > MRI

Deep Learning Super-Resolution Magnetic Resonance Imaging via Slice-Profile-Transformation Based Downsampling (UCLA Case No. 2022-062)

Summary: UCLA Researchers in the Department of Radiological Sciences have developed a deep learning-based approach for super-resolution magnetic resonance imaging. This method incorporates a novel slice-profile transformation super-resolution framework for through-plane super-resolution of multi-slice 2D MRI. This approach results in higher accuracy...

Published: 9/20/2024 | Inventor(s): Kyung Hyun Sung, Jiahao Lin

Keywords(s): Deep Learning, down sampling, High-resolution, Image Resolution, isotropic super-resolution, MRI, multiparametric MRI (mpMRI), slice-profile, Super Resolution Microscopy

Category(s): Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > MRI

2022-088 Neural Networks for Adipose Tissue Segmentation on Magnetic Resonance Images

Summary: UCLA researchers in the Department of Radiological Sciences have developed a novel neural network that can segment and quantify visceral and subcutaneous adipose tissues on magnetic resonance images automatically, accurately, and rapidly, to enhance clinical methods for characterizing and monitoring risk for cardiometabolic diseases in patients...

Published: 9/25/2024 | Inventor(s): Holden Wu, Sevgi Gokce Kafali-Tekat

Keywords(s): Advanced Computing / AI, Artificial Neural Network, Artificial Neural Network Artificial Neuron, cardiometabolic disease, Hypertension, Imaging, Machine Learning, Magnetic Resonance Imaging, Magnetic Resonance Imaging Pathology, Medical Imaging, MRI, multi-contrast imaging, obesity, Tissue (Biology), tissue annotation, tissue detection, tissue ribbons alignment, tissue segmentation

Category(s): Medical Devices > Medical Imaging, Platforms > Diagnostic Platform Technologies, Medical Devices > Medical Imaging > MRI, Therapeutics > Metabolism And Endocrinology

Method and Apparatus for Free-Breathing Quantitative Multiparametric MRI (Case No. 2019-729)

Summary: Researchers from the UCLA Department of Radiological Sciences have developed a novel magnetic resonance thermometry technique that rapidly obtains 3D images and temperature maps with high spatial and temporal resolution and without breath holds for better treatment guidance in organs with motion and fatty tissue content. Background: Magnetic...

Published: 7/31/2024 | Inventor(s): Holden Wu, Le Zhang, Tess Armstrong

Keywords(s):

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

2020-910 SEQUENCE DESIGNS FOR CONCURRENT X-NUCLEI AND H-NUCLEI MRI

SUMMARYResearchers from the Department of Radiology at UCLA have identified an alternative approach to imaging H- and X- nuclei simultaneously. This thereby retains the flexibility to perform independent sequences on each nucleus in the MRI scanner.BACKGROUNDMagnetic resonance imaging (MRI) is clinically performed on hydrogen nuclei as it is the most...

Published: 12/12/2023 | Inventor(s): Mark Bydder

Keywords(s):

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

2011-457 Cardiac MRI Circular Tagging

Summary UCLA researchers in the Department of Radiology have developed a cardiac Magnetic Resonance Imaging (MRI) tagging system that is more adaptive to the natural geometry and biomechanics of the heart for effectively measuring parameters such as cardiac wall thickening and radial strain. Background Cardiac MRI tagging is a promising technique for...

Published: 7/19/2023 | Inventor(s):

Keywords(s):

Category(s): Medical Devices > Medical Imaging > MRI

2012-529 Fully Automated Localization Of EEG Electrodes

Summary UCLA researchers have developed an algorithm for precisely locating EEG electrodes with respect to the patient's brain. Background Electroencephalography (EEG) measures brain activity by recording electrical activity via electrodes placed on the scalp, and it is used both clinically and in research. EEG measurements made from the scalp originate...

Published: 7/19/2023 | Inventor(s):

Keywords(s):

Category(s): Medical Devices > Medical Imaging > MRI

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