Florence, SC, United States of America

Mark Haig Khachaturian


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2013

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1 patent (USPTO):Explore Patents

Title: Mark Haig Khachaturian: Innovator in Magnetic Resonance Imaging Technology

Introduction

Mark Haig Khachaturian is a notable inventor based in Florence, SC (US). He has made significant contributions to the field of magnetic resonance imaging (MRI) technology. His innovative work focuses on improving the accuracy and efficiency of MRI scans.

Latest Patents

Khachaturian holds a patent for a "System and method for modeling gradient coil operation induced magnetic field drift." This patent describes a system that includes a computer programmed to acquire a pulse sequence to be applied during an MR scan. The system determines a power spectrum of a plurality of gradient pulses of the pulse sequence. It calculates the drift of the magnetic field attributable to the application of these gradient pulses and applies the pulse sequence during the MR scan. The computer also acquires MR data based on the application of the pulse sequence, corrects the acquired MR data based on the calculated drift, and reconstructs an image based on the corrected MR data. This innovation enhances the quality of images produced during MRI scans.

Career Highlights

Khachaturian is associated with General Electric Company, where he applies his expertise in MRI technology. His work at General Electric has allowed him to contribute to advancements in medical imaging, which is crucial for accurate diagnostics.

Collaborations

Some of his notable coworkers include Tesfaye Kebede Kidane and Timothy John Havens. Their collaborative efforts in the field of MRI technology have furthered the development of innovative solutions.

Conclusion

Mark Haig Khachaturian's contributions to MRI technology through his patent and work at General Electric Company highlight his role as an influential inventor in the medical imaging field. His innovations continue to impact the accuracy and effectiveness of MRI scans, benefiting both healthcare professionals and patients.

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