Search Results - shu-fu+shih

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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

Category(s): Medical Devices > Cardiac, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > MRI, Software & Algorithms > Image Processing, Software & Algorithms

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

A Denoising Technique for Multi-Contrast Multi-Coil Magnetic Resonance Imaging (Case No. 2024-233)

Summary: UCLA researchers in the Department of Radiological Sciences have developed a novel MRI denoising technique that enhances image clarity, sensitivity, and precision by significantly reducing distortion and noise. Background: Magnetic resonance imaging (MRI) is critical for medical diagnosis, but image quality depends on achieving a high signal-to-noise...

Published: 7/2/2025 | Inventor(s): Holden Wu, Shu-Fu Shih, Zhaohuan Zhang

Keywords(s): Cardiac Magnetic Resonance Imaging, Image Processing, Magnetic Resonance Imaging, Magnetic Resonance Imaging Carotid Artery Stenosis, Magnetic Resonance Imaging Hypoxia (Medical), Magnetic Resonance Imaging Medical Physics, Magnetic Resonance Imaging Pathology, Medical Device, medical device cardiac monitoring, Medical Devices and Materials, Medical diagnostics, Medical Imaging, MRI, multi-contrast imaging, Signal-To-Noise Ratio

Category(s): Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems, Medical Devices > Medical Imaging > MRI

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: 7/17/2025 | 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