Taichung, Taiwan

Yu-Fen Chen

USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.4

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2013-2025

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2 patents (USPTO):Explore Patents

Title: Innovations of Yu-Fen Chen

Introduction

Yu-Fen Chen is a notable inventor based in Taichung, Taiwan. He has made significant contributions to the field of medical imaging, particularly in computerized tomography and magnetic resonance imaging. With a total of 2 patents, his work focuses on enhancing the accuracy and efficiency of imaging techniques.

Latest Patents

One of his latest patents is a phantom-free calibration method for a computerized tomography scan. This method involves scanning a plurality of homogeneous human tissues to obtain scan information and calculating spectral characteristic parameters to improve the accuracy of tissue parameter measurements. The calibration process is designed to be easier and more convenient, ultimately leading to better diagnostic outcomes.

Another significant invention by Yu-Fen Chen is a method and apparatus for brain perfusion magnetic resonance imaging (MRI). This technique removes cerebrospinal fluid (CSF) pixels from images, allowing for a clearer identification of brain tissue with delayed perfusion. By utilizing a segmentation technique, the accuracy of tissue volume and perfusion parameter measurements is greatly enhanced.

Career Highlights

Yu-Fen Chen has worked with prestigious institutions such as National Yang Ming Chiao Tung University and China Medical University. His research and innovations have contributed to advancements in medical imaging technologies.

Collaborations

Some of his notable coworkers include Yi-Hsuan Kao and Mu-Huo Teng, who have collaborated with him on various projects in the field of medical imaging.

Conclusion

Yu-Fen Chen's contributions to medical imaging through his innovative patents demonstrate his commitment to improving diagnostic techniques. His work continues to influence the field and enhance the accuracy of medical imaging practices.

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