This inventor holds 2 USPTO granted patents. Top assignee: Ge Precision Healthcare LLC. Active years: 2022-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2025
Title: Ashok Kumar P Reddy: MRI Reconstruction and Image Enhancement Patents.
Introduction
Ashok Kumar P Reddy is an inventor based in Karnataka, India. His patent work focuses on magnetic resonance imaging (MRI), including methods for reconstructing and enhancing images. He is associated with GE Precision Healthcare LLC and has two patents.
Latest Patents
1. System and Method for Multi-Shot Variable Auto-Calibrating Reconstruction for Single Channel Diffusion Weighted Magnetic Resonance Imaging Using Low Rank. This method processes k-space data acquired with a multi-shot diffusion-weighted MRI sequence. It combines central calibration data, partial Fourier sampling, and projection onto convex sets to estimate fully sampled k-space for each shot. A low-rank regularization algorithm then iteratively reconstructs an image for each shot.
2. Image Enhancement with Variable Number of Excitation (NEX) Acquisitions Accelerated Using Compressed Sensing. This invention uses variable-NEX compressed-sensing acquisitions to collect MRI data. A first neural network reconstructs body-coil images, while a second deep-learning network assesses image quality and provides feedback to improve the enhancement process.
Career Highlights
Reddy’s listed patents address two complementary challenges in MRI: reconstructing images from undersampled, multi-shot data and enhancing image quality through compressed sensing and neural networks. His work is associated with GE Precision Healthcare LLC.
Collaborations
The provided information lists Rajagopalan Sundaresan and Ramesh Venkatesan as Reddy’s coworkers. It does not specify their roles in the patents.
Conclusion
Ashok Kumar P Reddy’s two patents highlight his contributions to MRI reconstruction and image enhancement, combining computational methods with machine-learning techniques.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile