Search Results - multiparametric+mri+(mpmri)

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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: 3/7/2024 | 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

Novel Method to Group Pixels for Medical Imaging (UCLA Case No. 2022-290)

Summary: UCLA researchers in the Department of Radiological Sciences have developed a new computational pipeline for identifying lesions in MRI data. Background: Prostate cancer is one of the most common cancer types with 12.6% of men diagnosed within their lifetime. Prostate cancer ranks as the 2nd leading cause of cancer-related deaths in the...

Published: 7/31/2023 | Inventor(s): Ashley Yeager

Keywords(s): AI algorithms, Algorithm, algorithmic cancer detection, Cancer, cancer detection, DICOM, multiparametric MRI (mpMRI), prostate cancer, Radiology, Software & Algorithms, Tumor, Tumor Marker

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

Deep Learning Super-Resolution Magnetic Resonance Imaging via Slice-Profile-Transformation Based Downsampling (UCLA Case No. 2022-062)

Summary: UCLA Researchers in the Department of Radiological Sciences have developed a deep learning-based approach for super-resolution magnetic resonance imaging. This method incorporates a novel slice-profile transformation super-resolution framework for through-plane super-resolution of multi-slice 2D MRI. This approach results in higher accuracy...

Published: 3/14/2024 | Inventor(s): Kyung Hyun Sung, Jiahao Lin

Keywords(s): Deep Learning, down sampling, High-resolution, Image Resolution, isotropic super-resolution, MRI, multiparametric MRI (mpMRI), slice-profile, Super Resolution Microscopy

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