Halifax, Canada

Ivan Romadanov

This inventor holds 1 USPTO granted patent. Top assignee: Dalhousie University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ivan Romadanov. Retrieved from https://idiyas.com/inventor/ivan-romadanov

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 = 2.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Ivan Romadanov and Adaptive Dual-Energy X-Ray Imaging

Introduction

Ivan Romadanov is an inventor associated with Dalhousie University in Halifax, Canada. His patent work addresses adaptive dual-energy X-ray imaging, using pre-calibrated weighting factors to improve material cancellation and noise reduction.

Latest Patents

Romadanov is credited with one patent: “Adaptive Dual-Energy X-Ray Imaging Using Pre-Calibrated Weighting Factors.” The method first calibrates a fitting model using high- and low-energy images of a step phantom. It identifies regions of interest containing overlapping materials, measures their average image intensities, and determines material-cancellation and noise-cancellation weighting factors for each material and region.

The calibrated model is then applied to images of a subject. It generates subject-specific weighting-factor maps, which are used with the high- and low-energy images to support adaptive material cancellation and noise reduction.

Career Highlights

Romadanov’s listed patent reflects work on adapting dual-energy imaging to the materials and conditions present in a particular subject. The approach combines phantom-based calibration with subject-specific weighting maps.

Collaborations

Romadanov’s listed coworker is Mike Sattarivand. His patent work is associated with Dalhousie University.

Conclusion

Ivan Romadanov’s patent describes an adaptive approach to dual-energy X-ray imaging that uses calibrated models and subject-specific weighting factors to address material cancellation and noise.

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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