Houston, TX, United States of America

Matthew K Hogan


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations of Matthew K Hogan in Magnetic Resonance Imaging

Introduction

Matthew K Hogan is an accomplished inventor based in Houston, TX (US). He has made significant contributions to the field of magnetic resonance imaging (MRI), particularly in the area of myelin quality assessment in living brains. His innovative approach has the potential to enhance our understanding of neurological conditions.

Latest Patents

Matthew K Hogan holds a patent for a groundbreaking invention titled "Signal isolation magnetic resonance image (SIMRI) and methods thereof." This patent facilitates an objective, non-invasive measurement of myelin quality and integrity by isolating myelin-specific magnetic relaxation constants in k-space. The system utilizes magnetic resonance signals to select signatures associated with myelin and encodes these signatures into images or models. This allows for the co-registration of quantitative myelin health information with 2D and 3D visualizations, as well as tractography of the isolated MR information. Furthermore, the system sets a model for digital hierarchical learning of biomedical signals in MR, based on experimental data.

Career Highlights

Matthew K Hogan is currently employed at The Methodist Hospital, where he continues to advance his research and innovations in MRI technology. His work is pivotal in bridging the gap between advanced imaging techniques and practical applications in medical diagnostics.

Collaborations

Matthew collaborates with talented professionals in his field, including Tatiana Wolfe and Caio C Quini. Their combined expertise contributes to the development of innovative solutions in medical imaging.

Conclusion

Matthew K Hogan's contributions to the field of magnetic resonance imaging exemplify the intersection of technology and healthcare. His innovative patent has the potential to revolutionize the way we assess myelin health in living brains, paving the way for future advancements in medical diagnostics.

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