Leeds, United Kingdom

Sven Plein

This inventor holds 1 USPTO granted patent. Top assignee: Koninklijke Philips Corporation N.v.. Active years: 2014.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sven Plein. Retrieved from https://idiyas.com/inventor/sven-plein

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


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2014

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1 patent (USPTO):Explore Patents

Title: Sven Plein and Transmural Perfusion Gradient Image Analysis.

Introduction

Sven Plein is an inventor associated with Leeds, Great Britain, and Koninklijke Philips Corporation N.V. His patent work includes a system for analyzing medical images to identify transmural perfusion gradients.

Latest Patents

Plein is credited with 1 patent: “Transmural Perfusion Gradient Image Analysis.” The invention analyzes sequential image datasets by establishing rays across an image region between its first and second borders. It calculates data-value gradients along those rays, which represent substantially corresponding positions in the object being imaged. The system is designed to help locate perfusion deficits in the myocardium by identifying transmural gradients.

Career Highlights

Plein’s listed invention applies image analysis to cardiac perfusion assessment. His work is associated with Koninklijke Philips Corporation N.V., a company active in medical technology.

Collaborations

The listed coworkers associated with Plein include Gilion Leopold Theodorus Frederik Hautvast and Amedeo Chiribiri.

Conclusion

Sven Plein’s patent describes an image-analysis approach for detecting myocardial perfusion deficits, reflecting the application of computational methods to medical imaging.

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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