Nikolay Markov

Title: Innovations of Nikolay Markov in Energy Calibration

Introduction

Nikolay Markov is an accomplished inventor based in Vernon Hills, Illinois. He has made significant contributions to the field of energy calibration, particularly through his innovative patent that utilizes neural networks for calibration processes.

Latest Patents

Markov holds a patent for a groundbreaking invention titled "PCCT energy calibration from X-ray tube spectra using a neural network." This apparatus is designed for calibrating a detector by acquiring an energy spectrum from an X-ray tube scan. The invention estimates calibration parameters, such as gain and offset, for multiple channels of the detector. By applying the acquired energy spectrum to a trained neural network, the system outputs the necessary calibration parameters. The neural network is specifically trained to produce target output calibration parameters using various measurements, including isotope peak positions and K-edge absorption features.

Career Highlights

Nikolay Markov is currently employed at Canon Medical Systems Corporation, where he continues to advance his research and development efforts. His work focuses on enhancing the accuracy and efficiency of energy calibration in medical imaging technologies.

Collaborations

Markov collaborates with notable colleagues, including Kent C Burr and Yi Qiang, who contribute to the innovative projects at Canon Medical Systems Corporation.

Conclusion

Nikolay Markov's contributions to energy calibration through his patented technology exemplify the intersection of innovation and practical application in medical imaging. His work continues to influence advancements in the field, showcasing the importance of integrating neural networks into calibration processes.