This inventor holds 2 USPTO granted patents. Top assignee: Johns Hopkins University. Active years: 2009-2010.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2009-2010
Title: Khaled Zakarya Abd-Elmoniem: Advancing Three-Dimensional MRI Motion Estimation
Introduction
Khaled Zakarya Abd-Elmoniem is an inventor associated with Baltimore, Maryland, and Johns Hopkins University. His work includes magnetic resonance imaging techniques for measuring motion in three dimensions from a single image plane. He is credited with 2 patents.
Latest Patents
One of Abd-Elmoniem’s listed inventions is “Three-Dimensional MR Motion Estimation on a Single Image Plane Based on Tagged MRI and HARP Processing.” The technique encodes both in-plane and through-plane motion in a single image plane, enabling researchers to track three-dimensional displacement across an image sequence without affecting acquisition speed.
The method uses tagged MRI and HARP processing to determine in-plane motion, then uses phase encodings to calculate through-plane position. In one embodiment, small z-encoding gradients are added to successive CSPAMM acquisitions to provide through-plane information. Balanced encodings and horizontal and vertical tags help cancel systematic phase artifacts. The approach is particularly suited to tracking myocardial displacement.
Career Highlights
Abd-Elmoniem’s patent work connects MRI acquisition and post-processing methods to the analysis of moving structures. The described technique offers a way to estimate three-dimensional motion from a single image plane, with potential application to cardiac imaging.
Collaborations
His listed collaborators include Nael Fakhry Osman and Jerry L. Prince. Abd-Elmoniem is associated with Johns Hopkins University.
Conclusion
Khaled Zakarya Abd-Elmoniem’s patented MRI approach combines tagged imaging, motion estimation, and artifact reduction to support three-dimensional tracking, particularly in studies of heart movement.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
