This inventor holds 2 USPTO granted patents. Top assignee: Leland Stanford Junior University. Active years: 2005-2007.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Stanford, CA (US) (2005)
- Woodinville, WA (US) (2007)
Company Filing History:
Years Active: 2005-2007
Title: Neal K. Bangerter: Innovations in SSFP MRI
Introduction
Neal K. Bangerter is an inventor based in Woodinville, Washington, whose work includes techniques for improving steady-state free precession (SSFP) magnetic resonance imaging. His patent contributions address species separation and artifact reduction in MRI.
Latest Patents
Bangerter’s listed patent portfolio includes 2 patents.
“Multiple Acquisition Phase-Sensitive SSFP for Species Separating in MRI” describes separating signals from species such as fat and water by repeatedly applying an SSFP sequence while varying the phase of each radio-frequency excitation pulse. The method reconstructs and combines images from the acquisitions, then distinguishes species signals according to the phase of the resulting image signals. It also provides for reducing slowly varying phase effects unrelated to chemical shift.
“Artifact Reduction in SSFP MRI Using Weighted Sum of Combined Signals” describes reducing artifacts by weighting acquired image data to emphasize stronger signals and combining the weighted data to form an image. One embodiment uses phase cycling, squares the acquired data, combines the squared data, and derives the final image signal from its square root.
Career Highlights
Bangerter’s listed inventions focus on MRI acquisition and image processing. Together, the two patent titles reflect approaches to separating signals from different species and reducing artifacts in SSFP imaging.
Collaborations
Bangerter is associated with Leland Stanford Junior University. His listed coworkers include Brian A. Hargreaves and Dwight G. Nishimura.
Conclusion
Neal K. Bangerter’s patent work addresses practical challenges in SSFP MRI through methods for species separation and artifact reduction.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
