Chia-Yen Lee

Title: Innovations by Chia-Yen Lee in Medical Imaging

Introduction

Chia-Yen Lee is a prominent inventor based in Taipei, Taiwan. He has made significant contributions to the field of medical imaging, particularly in the development of algorithms for monitoring chemotherapy response and early detection of breast cancers. With a total of 3 patents, his work is paving the way for advancements in cancer treatment assessment.

Latest Patents

One of his latest patents is the "Longitudinal image registration algorithm for infrared images for chemotherapy response monitoring and early detection of breast cancers." This innovative algorithm provides a marker-free approach to establishing pixel correspondence among infrared images taken at different times. It quantitatively characterizes the variation of heat energy and patterns pixel-wise on a breast surface. The algorithm utilizes corner points of heat patterns and branch points of skeletons on the body surface as initial fiducial points for longitudinal infrared image registration. The Thin-Plate Spline technique models the nonlinear deformation between two infrared images taken at different times. Mutual information between the TPS-transformed image and the target image serves as a metric for quantifying the quality of the registration. To optimize this process, the Nelder-Mead simplex method is employed to locally modify the pairings of fiducial points in the source and target infrared images, maximizing mutual information.

Another significant patent is the "Dual-spectrum heat pattern separation algorithm for assessing chemotherapy treatment response and early detection." This algorithm quantifies energy from high-temperature tissue areas, referred to as qmap, and decomposes the body surface into high and normal temperature areas based on middle-wave and long-wave infrared images. With longitudinal registration, it can detect cancerous tissues and assess chemotherapy treatment response on a pixel-by-pixel basis according to changes in qmap derived from the algorithm. Preliminary results indicate that the area and q-values in high-temperature areas decrease as patients undergo more chemotherapy, suggesting the algorithm's potential for chemotherapy assessment and early detection.

Career Highlights

Chia-Yen Lee is affiliated with National Taiwan University, where he continues to innovate in the field of medical imaging. His work has garnered attention for its potential impact on cancer treatment and monitoring.

Collaborations

Chia-Yen Lee collaborates with notable colleagues, including Che-Wei Chang and Yu-Chun Chien, who contribute to his research endeavors.

Conclusion

Chia-Yen Lee's