J-PET Framework: Software platform for PET tomography data reconstruction and analysis
This tool addresses the need for accessible and flexible PET data analysis in the medical imaging community, though it appears incremental as it builds on existing packages like ROOT and interfaces with standard simulation tools.
The J-PET Framework is an open-source software platform designed to tackle the challenge of data analysis in Positron Emission Tomography (PET) by providing a common environment for reconstruction, calibration, and filtering procedures, enabling users with minimal programming experience to build processing chains through a simple API.
J-PET Framework is an open-source software platform for data analysis, written in C++ and based on the ROOT package. It provides a common environment for implementation of reconstruction, calibration and filtering procedures, as well as for user-level analyses of Positron Emission Tomography data. The library contains a set of building blocks that can be combined by users with even little programming experience, into chains of processing tasks through a convenient, simple and well-documented API. The generic input-output interface allows processing the data from various sources: low-level data from the tomography acquisition system or from diagnostic setups such as digital oscilloscopes, as well as high-level tomography structures e.g. sinograms or a list of lines-of-response. Moreover, the environment can be interfaced with Monte Carlo simulation packages such as GEANT and GATE, which are commonly used in the medical scientific community.