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Architecture and Implementation of OpenPET Firmware and Embedded Software
Faisal T Abu-Nimeh1, Jennifer Ito1, William W Moses1
1Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA.
Summary
OpenPET is a versatile, open-source platform for multi-channel data acquisition and analysis. Its flexible design enables applications in medical imaging and homeland security, processing up to 16,384 channels.
Area of Science:
- Instrumentation
- Data Acquisition Systems
- Radiation Detection
Background:
- Radiation detector signals share common characteristics: energy-proportional pulses and timing information from leading edges.
- Existing systems may lack flexibility for diverse detector modules and applications.
- A need exists for a high-performance, modular platform for multi-channel data acquisition.
Purpose of the Study:
- To introduce OpenPET, an open-source, high-performance platform for multi-channel data acquisition and analysis.
- To demonstrate the platform's adaptability for various detector modules and applications, including medical imaging and homeland security.
- To detail the generic design methodology applied to OpenPET's hardware, firmware, and software.
Main Methods:
- Developed a modular and extendible hardware, firmware, and software architecture.
- Implemented a generic design approach for analog signal processing.
- Utilized Detector Boards for independent channel processing and Support Boards for data aggregation and correlation.
Main Results:
- The OpenPET platform supports multi-channel data acquisition and analysis with a flexible architecture.
- The system can interface with diverse detector modules for medical imaging and homeland security.
- Configurable system sizes accommodate up to 1,024 channels (Standard) or 16,384 channels (Large).
Conclusions:
- OpenPET provides a high-performance, adaptable solution for multi-channel radiation detection data.
- The platform's modularity and generic design facilitate integration with various detector types and applications.
- OpenPET is suitable for both medical imaging and homeland security applications requiring extensive channel processing.
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