Bamberg, Germany

Vincent Kelber

This inventor holds 1 USPTO granted patent and 5 published patent applications. Top assignee: Siemens Medical Solutions USA, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vincent Kelber. Retrieved from https://idiyas.com/inventor/vincent-kelber

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

Calculating rank
USPTO Granted Patents = 1 

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: Vincent Kelber and His Patent in Medical Imaging.

Introduction

Vincent Kelber is an inventor associated with Bamberg, Germany. His patent work includes a method for aligning attenuation maps with computed tomography data to support positron emission tomography image reconstruction.

Latest Patents

Kelber is credited with 1 patent: “Mu-map Alignment Using CAD Data.” The invention describes acquiring computed tomography images of adjacent portions of a patient support and determining transformation matrices that align each image with a corresponding portion of a predetermined linear attenuation coefficient map. The transformed images are used to generate individual attenuation maps, which are combined into a single map for reconstructing a positron emission tomography image from PET data.

Career Highlights

The patent lists Siemens Medical Solutions USA, Inc. as the company associated with Kelber’s work. The invention addresses image alignment and attenuation-map generation in medical imaging.

Collaborations

Johann Sukkau and Noah Birge are identified as Kelber’s coworkers.

Conclusion

Vincent Kelber’s patent focuses on using CAD data and computed tomography images to create an aligned attenuation map for positron emission tomography reconstruction.

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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