Search Results - matthew+brown

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Full Spectrum Computer Vision for Photon Counting CT (Case No. 2024-058)

Summary: Researchers in the Department of Radiological Sciences have developed a machine learning algorithm that processes multispectral photon counting CT data for accurate medical imaging. Background: Photon counting computed tomography (PCCT) is a tremendous engineering advancement, enabling high resolution spectral imaging with myriad applications....

Published: 9/20/2024 | Inventor(s): Matthew Brown, Dieter Enzmann, John Hoffman, Michael Mcnitt-Gray

Keywords(s): AI algorithms, Algorithm, Algorithm Optical Coherence Tomography, algorithmic cancer detection, Artifical Intelligence (Machine Learning, Data Mining), artificial electromagnetic materials, Artificial Intelligence, artificial intelligence augmentation, Artificial Neural Network, Artificial Neural Network Artificial Neuron, artificial-intelligent materials, Big Data, Bladder Cancer, blood cancers, Brain cancer, Breast Cancer, Cancer, cancer antigen, cancer detection, Cancer Immunotherapy, Cancer stem cells, cancer target, Computed tomography, CT, Deep Learning, design software, Digital Pathology, generative artificial intelligence, Genetic Algorithm, Histopathological image analysis, Histopathology, histopathology images, hyperparameter optimization, Image Analysis, Image Processing, lympathic cancers, lymphatic cancer, Medical artificial intelligence (AI), Mesenchymal Stem Cell Derived Cancer Cells, Orthotopic cancer models, Pancreatic cancer, pathology image analysis, Photon counting computed tomography (PCCT), prostate cancer, Radiology, Radiology / Radiomitigation, Software, Software & Algorithms, Software Development Tools, Software-enabled learning

Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics

Quantitative COVID-19 Scores Using High Resolution Computed Tomography (UCLA Case No. 2022-225)

Summary: UCLA researchers in the Department of Radiology have developed an innovation algorithm that measures lung damage associated with COVID-19 using computed tomography (CT) data. Background: Computed tomography (CT) scans are essential in diagnosing and monitoring different types of lung damage. At present, radiologist manually inspect CT scans...

Published: 7/19/2023 | Inventor(s): Hyun (Grace) Kim, Jonathan Gerald Goldin, Fereidoun Abtin, Pang Yu Teng, Matthew Brown

Keywords(s): Angiogenesis Acute Lung Injury, Computer-Aided Design, Computer-Aided Diagnosis, Computerized Tomography scan (CT), COVID pneumonia, CT, HRCT, Lung, Lung Pulmonology, Pneumonia, Pulmonary fibrosis, Respiratory & Pulmonary, Software, Software & Algorithms

Category(s): Software & Algorithms, Medical Devices > Medical Imaging, Therapeutics > Infectious Diseases > COVID, Medical Devices > Medical Imaging > CT

2020-366 CHEST X-RAY DEVICE SAFE ZONE

UCLA Researchers in the Department of Radiology have developed an automated computer program that is capable of identifying implanted medical devices and safe zones for their placement: potentially offering a solution to the high volume of imaging exams performed daily to check placement and avoiding fatalities arising from misplaced devices that are...

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

Keywords(s): Medical Imaging, X-Ray

Category(s): Medical Devices > Medical Imaging > X-Ray

2019-467 CHEST X-RAY DEVICE SAFE ZONE

UCLA researchers in the Department of Radiology have developed an automated computer system for defining a “Safe Zone” for chest device placement, simplifying the process for implementing new generations of life saving devices. BACKGROUND: The development of pace maker devices in the 1950s acted as a herald for scientific advances of cardiac...

Published: 4/11/2024 | Inventor(s): Matthew Brown, Dieter Enzmann, Koon-Pong Wong

Keywords(s): Medical Imaging, X-Ray

Category(s): Medical Devices > Medical Imaging > X-Ray

2016-680 AUTOMATED PHANTOM IMAGE ASSESSMENT TO CONFIRM MACHINE PERFORMANCE AND CALIBRATION

Case No. 2016-680SUMMARYUCLA researchers in the Department of Radiology have developed a method for automated calibration of phantom images.BACKGROUNDPhantom imaging is a routine procedure used in different medical imaging methods such as magnetic resonance imaging (MRI), computerized tomography (CT), positron emission tomography (PET) and ultrasound....

Published: 7/19/2023 | Inventor(s): Matthew Brown, Michael Mcnitt-Gray, Pechin Lo, Muhammad Wahi-Anwar

Keywords(s): CT, Medical Imaging, MRI, PET, Ultrasound

Category(s): Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > CT, Medical Devices > Medical Imaging > MRI, Medical Devices > Medical Imaging > PET, Medical Devices > Medical Imaging > Ultrasound

2017-103 Probability Map of Biopsy Site

Probability Map of Biopsy SiteSUMMARYUCLA researchers in the Department of Radiological Science have developed a technique for generating a probability map on an MRI that indicates the certainty of tissue sampling from a location, which could improve imaging-guided biopsies and their correlation with pathology.BACKGROUNDBiopsies using imaging techniques...

Published: 7/19/2023 | Inventor(s): Corey Arnold, Matthew Brown, Dieter Enzmann, Hyun (Grace) Kim, Mahesh Nagarajan

Keywords(s): Medical Imaging, MRI

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

2016-645 AUTOMATIC RECOGNITION OF ANATOMICAL COVERAGE IN MEDICAL IMAGES

Automatic Recognition Of Anatomical Coverage In Medical ImagesSUMMARYUCLA researchers in the Department of Radiology have developed an algorithm for automated processing of medical images.BACKGROUNDThe increasing use of medical imaging techniques such as magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET)...

Published: 7/19/2023 | Inventor(s): Matthew Brown, Jonathan Gerald Goldin, Pechin Lo, Xiaoyong Wang, Bharath Ramakrishna

Keywords(s): CT, Medical Imaging

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