Guang Lin

Title: Innovations by Guang Lin in Cardiac Ultrasound Data Processing

Introduction

Guang Lin is an accomplished inventor based in West Lafayette, IN (US). He has made significant contributions to the field of medical imaging, particularly in the area of cardiac ultrasound data processing. His innovative work focuses on utilizing machine learning techniques to enhance the accuracy and efficiency of cardiac imaging.

Latest Patents

Guang Lin holds a patent for a system and methods for machine learning driven contouring of cardiac ultrasound data. This patent, which is his sole patent, describes a system that receives cardiac imaging data generated by an ultrasound device directed at the left ventricle of the heart. The imaging data includes a time dimension and multiple spatial dimensions. The system aligns the image data with an axis that passes through the apex and base of the left ventricle. It predicts, based on a machine learning model and the imaging data, the locations of a plurality of anchor points over a cardiac cycle. The system then outputs the predicted locations of these anchor points.

Career Highlights

Guang Lin is associated with the Purdue Research Foundation, where he continues to develop innovative solutions in medical imaging. His work is instrumental in advancing the capabilities of ultrasound technology, particularly in cardiac applications.

Collaborations

Guang Lin collaborates with Craig Jonathan Goergen, contributing to the development of cutting-edge technologies in the field of cardiac imaging.

Conclusion

Guang Lin's contributions to the field of cardiac ultrasound data processing through his innovative patent demonstrate his commitment to improving medical imaging technologies. His work has the potential to significantly enhance the accuracy of cardiac assessments and patient outcomes.