Multi-modal Free-moving Data Fusion (MFDF) v1.0

Software · Mon Nov 02 00:00:00 EST 2020

DOI:https://doi.org/10.11578/dc.20210701.4· OSTI ID:code-60338 · Code ID:60338

Joshi, Tenzing ^[1]; Quiter, Brian ^[1]; Curtis, Joey ^[1]; Bandstra, Mark ^[1]; Cooper, Reynold ^[1]; Hellfeld, Daniel ^[1]; Salathe, Marco ^[1]; Moran, Alex ^[1]; Vavrek, Jayson ^[1]

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1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Multi-modal Free-moving Data Fusion (MFDF) is a python package that implements low and high-level functionality for performing qualitative and quantitative gamma-ray imaging analyses. Such analyses enable the use of gamma-ray spectrometers and/or imagers to estimate the distribution and quantity of radiological materials in an environment. Free-moving 3D imaging requires additional information about the 3D trajectory and orientation of the system, however all of these methods can be applied to 2D static gamma-ray imaging as well. The package includes methods (MLEM and MAP) for distributed source reconstruction, methods (PSL) for point source reconstruction, the ability to ingest and utilize quantitative detector response functions (for absolute analyses), and the ability to perform 3D estimation of dose-rates from quantitative reconstructions.

• Short Name / Acronym: Multi-modal Free-moving Data Fusion
• Project Type: Closed Source
• Site Accession Number: 2021-015
• Software Type: Scientific
• License(s): Other (Commercial or Open-Source)
• Research Organization: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
• Sponsoring Organization: Department of Homeland Security; DOD DEFENSE THREAT REDUCTION AGENCY; USDOE

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  Primary Award/Contract Number:

  AWD2740
• DOE Contract Number: AWD2740
• Code ID: 60338
• OSTI ID: code-60338
• Country of Origin: United States