UCLA Researchers & Innovators
Industry & Investors
News & Events
About
Concierge
Search Results - multiparametric+mri+(mpmri)
4
Results
Sort By:
Published Date
Updated Date
Title
ID
Descending
Ascending
Interleaved Radial Amine CEST and Sodium (INTERLACED) NMR Pulse Sequence (Case No. 2024-069)
Summary: UCLA researchers in the Department of Radiological Sciences have developed a novel MRI modality that simultaneously utilizes multiple nuclei to enhance scanning capabilities while reducing scanning times. Background: Magnetic Resonance Imaging (MRI) is a major tool in medical diagnostics and monitoring, as well as the primary clinical research...
Published: 11/19/2024
|
Inventor(s):
Benjamin Ellingson
,
Alfredo Kolkovsky
Keywords(s):
diagnostic radionuclides
,
Functional Magnetic Resonance Imaging
,
Magnetic Resonance Imaging
,
MRI
,
multiparametric MRI (mpMRI)
Category(s):
Medical Devices
,
Medical Devices > Medical Imaging
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
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: 9/20/2024
|
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