Search Results - software+%26+algorithms+%3e+image+processing

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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: 10/8/2025 | 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

Optical Generative Models (Case No. 2025-067)

Summary: Researchers in the UCLA Department of Electrical and Computer Engineering have developed an optics-based system to rapidly generate synthetic images. Background: Generative AI models that create synthetic images, human-like natural language processing capabilities, and even new protein designs are critical for a diverse array of applications....

Published: 10/1/2025 | Inventor(s): Aydogan Ozcan, Shiqi Chen

Keywords(s): Adaptive Optics, all-optical diffractive computing, Electro-Optics, Optical Coherence , Optical computing, Optical Generative Models, Optics

Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing, Optics & Photonics, Electrical, Electrical > Signal Processing, Electrical > Imaging, Electrical > Visual Computing

Automated Detection of Lung Nodules in Medical Images (Case No. 2012-512)

Summary UCLA researchers have developed an automated image processing system that segments lung regions in CT scans, identifies candidate high-intensity structures (like nodules), and classifies lung nodules (including solid and ground glass) using geometric analysis. The system aims to reduce false positives while maintaining high sensitivity in lung...

Published: 9/23/2025 | Inventor(s): Matthew Brown

Keywords(s):

Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing, Medical Devices, Medical Devices > Hospital Systems, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems

Developing Physical Deformable Lung Phantom With Subject Specific Elasticity (2013-705)

Summary UCLA researchers have developed a subject-specific, deformable lung phantom that mimics both the mechanical (elastic) and radiological (attenuation) properties of a real human lung. The phantom is designed to replicate lung deformation during respiration, integrate imaging and computational fluid dynamics (CFD) data, and be used in radiotherapy...

Published: 9/23/2025 | Inventor(s): Anand Santhanam, Olusegun Ilegbusi

Keywords(s):

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

Hess Screen Test Chart Digitalization Tool (Case No. 2024-164)

Summary UCLA researchers have developed a software-based digitizer for Hess Screen Test (HST) charts that automates extraction of gaze misalignment measurements across the visual field, converting paper charts into precise numerical eye-angle data. The system is faster, more repeatable, and more scalable than manual annotation. IOVS Background The...

Published: 9/16/2025 | Inventor(s): Qi Wei, Andrew Ryan, Joseph Demer

Keywords(s):

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

Virtual Angiography for Aneurysm Risk Assessment (Case No. 2025-256)

Summary UCLA researchers have developed a virtual angiography system for aneurysm risk assessment that uses computational fluid dynamics (CFD) and patient-specific vascular reconstructions to identify unstable cerebral aneurysms. By simulating blood flow and contrast transport, the system produces virtual angiograms and calculates diagnostic metrics...

Published: 9/12/2025 | Inventor(s): Juan Cebral, Naoki Kaneko

Keywords(s):

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

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: 7/23/2025 | 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

Monitoring Structural Health Using Diffractive Optical Processors (Case No. 2025-201)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel structural health monitoring system that is highly accurate and cost effective, addressing limitations in current infrastructure and civil health monitoring and a rise in public safety concerns. Background: The need for structural health monitoring...

Published: 7/25/2025 | Inventor(s): Aydogan Ozcan, Ertugrul Taciroglu, Yuntian Wang, Yuhang Li

Keywords(s): 3D structures, Adaptive Optics, AI-generated images and content, all-optical diffractive computing, all-optical transformation, analog computing, analog optical computing, Analogue Electronics, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence algorithms, artificial intelligence augmentation, artificial intelligence/machine learning models, artificial-intelligent materials, civil engineering, civil infrastructure, civil monitoring, computational imaging, computational imaging task, Construction, deep diffractive network, Diffraction, diffractive design, diffractive image reconstruction, diffractive network, diffractive processor, diffractive surface, digital image reconstruction, electromagnetic spectrum, Electro-Optics, Image Analysis, Image Processing, Image Resolution, image restoration, image signal processing, Imaging, Infrastructure, Lens (Optics), linear optics, Nanostructure, optical processor, optically-guided structural monitoring, Optics, passive light-matter interactions, security imaging, Signal Reconstruction, Structural health monitoring, structural health monitoring (SHM), structure monitoring, Structures

Category(s): Electrical, Electrical > Signal Processing, Electrical > Imaging, Materials, Materials > Construction Materials, Electrical > Visual Computing, Electrical > Computing Hardware, Electrical > Instrumentation, Energy & Environment, Energy & Environment > Energy Efficiency, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing, Software & Algorithms > Programs

Low-Power Synthesizer-Free Self-Injection Locked Radar (Case No. 2024-190)

Summary: Researchers at UCLA’s Department of Electrical and Computer Engineering have developed a novel synthesizer-free phase imaging radar that generates high-resolution images with low power consumption. Background: Imaging radars are used in various applications, from self-driving cars and aircraft navigation to medical screening. Traditional...

Published: 8/20/2025 | Inventor(s): Sidharth Thomas, Wei Sun, Aydin Babakhani

Keywords(s): Antennas/Wireless, Biosensor, Continuous-Wave Radar, Electrical, Frequency conversion, High-resolution, Image Resolution, Imaging, low-power device, Phase (Waves), Phase-Contrast Imaging, Radar, Radar / Antennae, satellite imaging, Signal-To-Noise Ratio

Category(s): Electrical > Imaging, Software & Algorithms > Image Processing, Electrical, Electrical > Wireless > Antennas

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