Location History:
- San Francisco, CA (US) (2007)
- Fullerton, CA (US) (2008 - 2009)
Company Filing History:
Years Active: 2007-2009
Title: Innovations of Angel R Pineda
Introduction
Angel R Pineda is a notable inventor based in Fullerton, CA (US). He has made significant contributions to the field of magnetic resonance imaging (MRI) with a total of 4 patents to his name. His work focuses on advanced methods for signal separation and image generation in MRI technology.
Latest Patents
One of his latest patents is titled "Maximum likelihood estimator in the presence of non-identically distributed noise for decomposition of chemical species in MRI." This invention provides a method for separating signals from at least two species in a body using echo-coherent time magnetic resonance imaging. The method involves acquiring a plurality of echo signals at optimized acquisition times based on the noise properties of images with different variance. The echo signals are then combined iteratively using a maximum likelihood decomposition algorithm for non-identically distributed noise.
Another significant patent is "Regularized species separation," which describes a method for generating magnetic resonance images. In this process, a magnetic resonance imaging excitation is applied, and a plurality of magnetic resonance image signals is acquired. These signals are combined iteratively using a regularized decomposition algorithm, resulting in an image that is displayed after the iterative combination.
Career Highlights
Angel R Pineda is affiliated with Leland Stanford Junior University, where he continues to advance research in MRI technology. His innovative approaches have garnered attention in the scientific community, contributing to the evolution of imaging techniques.
Collaborations
He has collaborated with notable colleagues, including Scott Brian Reeder and Huanzhou Yu, who have also contributed to advancements in the field of MRI.
Conclusion
Angel R Pineda's work exemplifies the intersection of innovation and technology in medical imaging. His patents reflect a commitment to enhancing the capabilities of MRI, ultimately benefiting the medical field and improving diagnostic processes.