Shenzhen, China

Luis Pedro Ribeiro Lopes

This inventor holds 1 USPTO granted patent. Top assignee: Siemens Healthineers Ag. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Luis Pedro Ribeiro Lopes. Retrieved from https://idiyas.com/inventor/luis-pedro-ribeiro-lopes

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

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Luis Pedro Ribeiro Lopes and MRI Safety Innovation.

Introduction

Luis Pedro Ribeiro Lopes is an inventor associated with Siemens Healthineers AG in Shenzhen, China. His patent work addresses a safety concern in magnetic resonance imaging (MRI): the risk of a closed loop forming through contact between parts of a patient’s body.

Latest Patents

The provided information lists 1 patent for Lopes: “Method and apparatus for detecting a closed loop in MRI, and MRI system.” The method uses three-dimensional coordinates of key points on an examination subject to adapt a standard body model and create a virtual model of that subject. It then identifies surface regions of designated body parts and calculates distances between body-part pairs where skin contact is considered likely. If any distance falls below a preset threshold, the system determines that a closed-loop risk may be present.

Career Highlights

Lopes’s listed invention combines three-dimensional body modeling with distance-based risk assessment to help identify potential closed-loop conditions during MRI examinations. The supplied information identifies Siemens Healthineers AG as his company affiliation.

Collaborations

Xu He and Fang Yong Sun are listed as Lopes’s coworkers. The provided details do not specify their roles in the patent or the extent of their collaboration.

Conclusion

Luis Pedro Ribeiro Lopes’s listed patent focuses on detecting potential closed-loop risks in MRI through virtual body modeling and analysis of distances between body parts.

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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