Shanghai, China

Mu Lin


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Mu Lin in Magnetic Resonance Imaging

Introduction

Mu Lin is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of medical imaging, particularly through his innovative work in magnetic resonance diffusion tensor imaging. His expertise and dedication to advancing technology have led to the development of a unique patent that enhances imaging techniques.

Latest Patents

Mu Lin holds a patent for a "Magnetic resonance diffusion tensor imaging method and device, and fiber tracking method and device." This invention includes a comprehensive method for acquiring omnidirectionally sampled diffusion weighted images from multiple training samples. The process involves diffusion tensor model fitting and undersampling to create an omnidirectionally sampled diffusion tensor image and an undersampled diffusion weighted image. Furthermore, he has developed a deep learning network that utilizes these images to predict diffusion tensor images of target objects, showcasing his innovative approach to medical imaging.

Career Highlights

Mu Lin is currently employed at Siemens Healthcare GmbH, where he continues to push the boundaries of medical technology. His work at Siemens has allowed him to collaborate with leading experts in the field, further enhancing the impact of his inventions.

Collaborations

Some of Mu Lin's notable coworkers include Jianhui Zhong and Yi Sun. Their collaborative efforts contribute to the advancement of medical imaging technologies and the successful implementation of innovative solutions in healthcare.

Conclusion

Mu Lin's contributions to magnetic resonance imaging exemplify the power of innovation in healthcare technology. His patent and ongoing work at Siemens Healthcare GmbH highlight his commitment to improving medical imaging techniques, ultimately benefiting patients and healthcare providers alike.

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