Search Results - medical+imaging

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A Method and System for Pre-processing Medical Images (Case No. 2024-177)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel pre-processing computer algorithm for automated medical imaging. Background: The integration of machine learning and artificial intelligence into medical imaging applications offers significant potential to automate the diagnosis of various...
Published: 7/23/2024   |   Inventor(s): Bahram Jalali, Callen MacPhee, Yiming Zhou, Koichiro Kishima
Keywords(s): 3D ultrasound imaging, Artificial Intelligence, bioimaging, Computer Vision, histopathology images, Machine Learning, Medical Imaging, MRI, X-Ray
Category(s): Diagnostic Markers > Cancer, Diagnostic Markers > Immunology, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing
Automated Biomarker Prediction Using Optical Coherence Tomography (Case No. 2020-467)
Summary: UCLA researchers in the Department of Computational Medicine have developed a computer program capable of automatically and accurately diagnosing optical diseases using OCT. Background: Optical diseases, such as age-related macular degeneration (AMD), are serious issues that, if left untreated, can result in partial and even complete blindness....
Published: 7/22/2024   |   Inventor(s): Eran Halperin, Nadav Rakocz, Jeffrey Chiang, Muneeswar Gupta, Srinivas Sadda
Keywords(s): Image Processing, Medical Imaging, Software & Algorithms
Category(s): Medical Devices > Medical Imaging, Software & Algorithms > Image Processing
Cold Shock Protein Scaffold for Engineering Non-Antibody Binding Proteins
­Advantages: The small size of the TBP (<8 kDa) allows for superior tissue penetration, making it ideal for applications requiring effective targeting of specific sites. Derived from a hyperthermophilic bacteria, the TBP's stability in reducing conditions and absence of disulfide bonds ensure structural integrity in challenging environments. ...
Published: 4/16/2024   |   Inventor(s): Jack Webster
Keywords(s): Biotechnology, Medical Imaging, Sensors
Category(s): Technology Classifications > Medical > Cell & Tissue Engineering
Novel Method of Cancer Diagnosis by Multifractality of Surface Potential
­Advantages: Enhanced diagnostic accuracy for precise cancer cell identification. Complementary insights from both morphology and surface potential analysis. Label-free and minimally invasive, ensuring safety and sample integrity. Background: Breast and ovarian are the most frequent types of cancer among women worldwide. Morbidity and mortality...
Published: 4/17/2024   |   Inventor(s): Dmitri Voronine, Phat Huynh, Dang Nguyen, Grace Binder, Sharad Ambardar, Trung Le
Keywords(s): Cancer Diagnostics, Medical Imaging
Category(s): Technology Classifications > Cancer > Cancer Diagnostics, Technology Classifications > Medical > Medical Imaging
Laser Ablation Direct Analysis in Real Time-Imaging Mass Spectrometry (LADI-MS)
Offers the potential of real-time small-sample analysis for a very large variety of applications. Background: Real Time Imaging Mass Spectrometry (RTMS) is a method for analyzing and identifying biological samples in real time. RTMS can be used in an extremely broad variety of applications, involving chemistry, biochemistry, food sciences, and medicine....
Published: 1/23/2024   |   Inventor(s): Rabi Musah
Keywords(s): analytical chemistry, Biomarker discovery, chemistry, forensic testing, image acquisition, imaging, life sciences, Mass spectrometry imaging, medical imaging, Natural products, Phytochemistry, Small-molecule profiling, Small-molecule spatial distribution mapping, Species discrimination, Species identification, Technologies, Tissue analysis, wood anatomy, wood science
Category(s): Campus > University at Albany, Technology Classifications > Agriculture, Technology Classifications > Biomedical Science and Engineering, Technology Classifications > Diagnostics, Technology Classifications > Drug Delivery, Technology Classifications > Environment, Technology Classifications > Healthcare, Technology Classifications > Materials and Chemicals, Technology Classifications > Imaging, Technology Classifications > Medical Imaging, Technology Classifications > Research Tools and Reagents
Charge Sharing Compensation Using Coincidences for X-Ray Photon Counting Detectors (UCLA Case No. 2019-543)
Summary: UCLA researchers in the Department of Radiological Sciences have developed a novel method for coincidence counting to reduce the noise inherent in photon counting detectors. Background: The computed tomography (CT) scanning market is projected to grow from ~$6 billion to over $10 billion in 2030. Approximately 10% of this market size is...
Published: 2/28/2024   |   Inventor(s): Scott Hsieh
Keywords(s): charge sharing, charge summing, Computed tomography, CT, High resolution computed tomography, Medical Imaging, nanophotonics, Photon, Photon counting, photonic materials, Photonic structures, Photonics, pileup, spectral CT, X-Ray Computed Tomography, X-ray detectors
Category(s): Optics & Photonics, Medical Devices > Medical Imaging > CT, Medical Devices, Electrical > Imaging
Deep Learning-Based 3D Imaging of Fluorescent Samples from 2D Image (Case No. 2019-521)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a deep learning-based approach termed Deep-Z that enables 3D imaging of fluorescent samples using a single 2D image, without mechanical scanning, additional hardware, or a trade-off resolution or speed. Background: Three-dimensional (3D) fluorescence...
Published: 2/16/2024   |   Inventor(s): Aydogan Ozcan, Yair Rivenson, Yichen Wu
Keywords(s): Image Processing, Imaging, Medical Imaging, Microscope, Microscopy And Imaging
Category(s): Electrical, Electrical > Imaging, Life Science Research Tools > Microscopy And Imaging
Copyright: Smart Histopathological Image Viewer With Guidance Generated by Artificial Intelligence (Case No. 2023-103)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an AI-guided, smart histopathological image viewer to aid clinicians in the identification of regions of interest. Background: Digital pathology has transformed traditional glass histology slides into high-resolution digital slide images, priming the...
Published: 10/25/2023   |   Inventor(s): Xiang Chen, Hongyan Gu, Mohammad Haeri, Shino Magaki
Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Artificial Neural Network, Clinical decision support system, Computer-Aided Diagnosis, Digital Health, Digital Pathology, Histopathological image analysis, Histopathology, histopathology images, Human-AI collaboration, Human-AI interaction, Medical artificial intelligence (AI), Medical Imaging, pathology image analysis
Category(s): Electrical, Electrical > Imaging, Medical Devices, Medical Devices > Medical Imaging, Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing
Physiologic Modeling of Multiphase Intra-Arterial CT Angiography for Hepatic Embolization Therapy
­Advantages: Optimized Dosage Delivery Real-time Treatment Monitoring Personalized and Enhanced Treatment Plans Summary: The market demand for Yttrium-90 radioembolization (RE) has grown significantly over the past decade as a crucial transcatheter intraarterial therapy for patients with unresectable liver cancer. To enhance the effectiveness...
Published: 8/16/2024   |   Inventor(s): John Mayfield, Ghassan El-Haddad, Jonathan Ford
Keywords(s): Cancer Treatment, Medical Imaging, Oncology
Category(s): Technology Classifications > Medical > Biomedical Engineering, Technology Classifications > Data/AI > D/AI Imaging, Technology Classifications > Medical > Medical Diagnostics, Technology Classifications > Cancer > Cancer Diagnostics, Technology Classifications > Computer Science > Computers Software & Information Technology
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
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