Pacheco, CA, United States of America

Sinyeob Ahn

USPTO Granted Patents = 1 

 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: Sinyeob Ahn: Innovator in Brain Imaging Techniques

Introduction

Sinyeob Ahn is a notable inventor based in Pacheco, CA (US). He has made significant contributions to the field of medical imaging, particularly in techniques related to brain imaging. His innovative work has led to the development of a patent that enhances the understanding of brain regions through advanced imaging methods.

Latest Patents

Sinyeob Ahn holds a patent for "Methods, systems and computer readable storage media storing instructions for imaging and determining information associated with regions of the brain." This patent focuses on imaging techniques that utilize magnetization transfer contrast (MTC) effects while minimizing specific absorption rate (SAR). The methods involve acquiring MR image data from magnetic resonance scans that include a pre-pulse signal and a pulse sequence. The pre-pulse signal is designed to be less than 500°, specifically ranging from about 150° to 425°. The generated information from these methods includes both quantitative and qualitative data about brain regions, such as volume information and contrast to noise ratio.

Career Highlights

Sinyeob Ahn is affiliated with Emory University, where he continues to advance research in medical imaging. His work is pivotal in improving imaging techniques that can lead to better diagnostic capabilities in understanding brain functions and disorders.

Collaborations

Sinyeob Ahn collaborates with esteemed colleagues, including Daniel E Huddleston and Xiaoping P Hu. Their combined expertise contributes to the innovative research and development of advanced imaging technologies.

Conclusion

Sinyeob Ahn's contributions to brain imaging techniques exemplify the impact of innovation in medical research. His patent reflects a significant advancement in the field, promising to enhance the understanding of brain regions and their functions.

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