Madurai, India

Chandrasekar Rajadurai

This inventor holds 1 USPTO granted patent and 1 published patent application and 1 EPO patent. Top assignee: Karlsruhe Institute of Technology. Active years: 2014.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chandrasekar Rajadurai. Retrieved from https://idiyas.com/inventor/chandrasekar-rajadurai

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 1 


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2014

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1 patent (USPTO):Explore Patents

Title: Innovations in Magnetic Resonance Imaging by Chandrasekar Rajadurai

Introduction

Chandrasekar Rajadurai is an accomplished inventor based in Madurai, India. He has made significant contributions to the field of medical imaging, particularly through his innovative patent in magnetic resonance imaging (MRI). His work focuses on enhancing the quality and effectiveness of MRI techniques.

Latest Patents

Rajadurai holds a patent for a method of magnetic resonance imaging of a human or animal body. This method involves providing a spin crossover complex with the general formula [M(L)H]AN, which is applied as a contrast agent in MRI procedures. This innovation aims to improve the clarity and accuracy of imaging results.

Career Highlights

Chandrasekar Rajadurai is associated with the Karlsruhe Institute of Technology, where he continues to advance research in medical imaging technologies. His expertise and dedication to innovation have positioned him as a key figure in his field.

Collaborations

Rajadurai has worked alongside notable colleagues, including Mario Ruben and Danuta Kruk. Their collaborative efforts contribute to the ongoing development of advanced imaging techniques.

Conclusion

Chandrasekar Rajadurai's contributions to magnetic resonance imaging exemplify the impact of innovative thinking in medical technology. His work not only enhances imaging capabilities but also paves the way for future advancements in the field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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