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

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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
Keywords(s): 2D ultrasound imaging, 3D tissue imaging, 3D ultrasound imaging, AI-guided medical imaging, AI-guided medical intervention, bioimaging, Biologic Medical Product, Biomedical Engineering, Cardiac Magnetic Resonance Imaging, Image Analysis, 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, Magnetic Resonance Imaging Unmanned Aerial Vehicle, Medical artificial intelligence (AI), Medical Device, medical device cardiac monitoring, Medical Devices and Materials, Medical diagnostics, Medical Imaging
Category(s): Medical Devices > Cardiac, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > MRI, Software & Algorithms > Image Processing, Software & Algorithms
Design of Task-Specific Optical Systems Using Broadband Diffractive Neural Networks (Case No. 2020-174)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a diffractive neural network that can process an all-optical, 3D printed neural network for deep learning applications. Background: Deep learning, a method of machine learning that mimics the human brain’s connectivity through a series of “neural...
Published: 10/17/2025   |   Inventor(s): Aydogan Ozcan, Yi Luo, Deniz Mengu, Yair Rivenson
Keywords(s):  
Category(s): Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing
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: 10/17/2025   |   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: 11/6/2025   |   Inventor(s): Juan Cebral, Naoki Kaneko
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, Medical Devices > Hospital Systems, Diagnostic Markers
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
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
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