Search Results - 3d+tissue+imaging

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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

Methods and Systems for Low-Cost Medical Image Annotation Using Non-experts (Case No. 2025-108)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an AI-based interface designed to enable individuals without specialized training to identify arthritis in medical imaging. Background: The use of artificial intelligence (AI) for medical imaging analysis holds great promise for the future of healthcare....

Published: 11/6/2025 | Inventor(s): Xiang Chen, Youngseung Jeon, Christopher Hwang

Keywords(s): 3D tissue imaging, AI-guided diagnostics, AI-guided medical imaging, AI-guided medical intervention, arthritis, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence algorithms, artificial intelligence augmentation, artificial intelligence/machine learning models, Artificial Neural Network, bioimaging, Computer-Aided Diagnosis, computer-aided radiology, Diagnostic Markers & Platforms, Diagnostic Test, diagnostics, generative artificial intelligence, Image Analysis, Image Resolution, Imaging, infrared thermal imaging, Machine Learning, machine learning modeling, machine perception, Magnetic Resonance Imaging Medical Physics, Magnetic Resonance Imaging Pathology, Medical artificial intelligence (AI), Medical diagnostics, Medical Imaging, Microscopy And Imaging, non-invasive imaging, osteoarthritis, radial MRI, radiologic imaging, Radiology, Radiology / Radiomitigation, radiosurgery

Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing, Life Science Research Tools, Life Science Research Tools > Lab Equipment, Life Science Research Tools > Microscopy And Imaging, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems, Therapeutics, Therapeutics > Musculoskeletal Disease, Therapeutics > Radiology

Batch Processing Automation for Imaris Stitcher (Case No. 2025-089)

Summary: Researchers in UCLA’s Department of Neurobiology have developed a novel software tool that enhances the capabilities of Imaris Stitcher. The tool enables batch processing and automated execution of multiple image stitching jobs, significantly improving workflow efficiency and reducing hands-on time. This results in readily available,...

Published: 7/14/2025 | Inventor(s): Ian Bowman, Mitchell Rudd, Hong Wei Dong

Keywords(s): 3D tissue imaging, 3D ultrasound imaging, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence algorithms, artificial intelligence augmentation, artificial intelligence/machine learning models, artificial-intelligent materials, bioimaging, Cell Counting/Imaging, cell imaging, cell mapping, computational imaging, Data Acquisition, Data Aggregator, Data Analytics, Data Recovery, Data Structure, Fluorescence Microscope, histopathology images, Image Analysis, image restoration, image signal processing, Imaging, Magnetic Resonance Imaging, Medical artificial intelligence (AI), Medical Imaging, Microscope, Microscopy, Microscopy And Imaging, Molecular Imaging, multi-contrast imaging, Neuroimaging, non-invasive imaging, pathology image analysis, Phase-Contrast Imaging, three dimensional imaging, volumetric image

Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing

A Data-Driven Approach to Quality Assurance for Imagers (Radiologists) Individually and Imaging Departments as a Whole (Case No. 2014-501)

Summary: UCLA researchers have developed innovative software that streamlines radiological data analysis to enhance patient outcomes, evaluate radiologist performance, and assess AI algorithms in a way that mirrors radiologist decision-making. Background: Radiological imaging is critical to disease diagnosis and treatment planning for a wide array...

Published: 8/8/2025 | Inventor(s): Dieter Enzmann, Corey Arnold, Alex Bui, William Hsu

Keywords(s): 3D tissue imaging, 3D ultrasound imaging, bioimaging, cell imaging, computational imaging, computational imaging task, Imaging, Magnetic Resonance Imaging, Magnetic Resonance Imaging Medical Physics, Magnetic Resonance Imaging Pathology, Magnetic Resonance Imaging Spin Polarization, Medical Imaging, Molecular Imaging, multi-contrast imaging, non-invasive imaging, Radiology, Radiology / Radiomitigation, three dimensional imaging

Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Digital Health, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems

Squeezed Light Field Microscopy (SLIM) (Case No. 2024-153)

Summary: UCLA researchers in the Department of Bioengineering have developed a computational imaging method that enables detection of 3D light signals using only a single camera sensor area for optimized surgical visualization. Background: Surgical procedures necessitate high precision imaging, especially when targeting specific anatomical structures....

Published: 7/17/2025 | Inventor(s): Liang Gao, Zhaoqiang Wang, Ruixuan Zhao

Keywords(s): 3D tissue imaging, computational imaging, image-guided surgery, Imaging, Microscopy, Microscopy And Imaging, Neuroimaging

Category(s): Life Science Research Tools > Microscopy And Imaging, Medical Devices > Medical Imaging > Fluorescence

Cell Type Scanner (UCLA Case No. 2021-115)

UCLA researchers in the Department of Chemistry and Biochemistry have developed a novel technology for spatial cell-type mapping in 2D and 3D tissue samples. BACKGROUND: Cell type mapping has become an integral component for many biomedical research studies and diagnostic technologies. However, a major challenge in single cell data is accurately...

Published: 7/17/2025 | Inventor(s): Roy Wollman

Keywords(s): 3D tissue imaging, cell mapping, Principal component analysis, RNA imaging, single cell analysis, Single cell data

Category(s): Life Science Research Tools > Research Methods, Software & Algorithms > Data Analytics