Musiré: multimodal simulation and reconstruction framework for the radiological imaging sciences

Area of Science:

• Biomedical Imaging
• Medical Physics
• Computational Imaging

Background:

• Managing simulation and image reconstruction for diverse biomedical imaging modalities (SPECT, PET, CBCT, MRI, BLI, FMI) is complex.
• Single and multimodal applications require integrated workflows for efficient data processing.

Purpose of the Study:

• To propose a unified software-based workflow for managing simulation and image reconstruction.
• To simplify the setup and execution of complex imaging tasks across different modalities.

Main Methods:

• Developed a Bash script-based workflow interfacing with simulation (GATE, SpinScenario, Lipros) and reconstruction (CASToR, RTK) programs.
• Utilized MetaImage (mhd) for phantom/image data and Meshlab project (mlp) for anatomical structures.
• Implemented automatic distribution across Linux workstations and CPU cores.

Main Results:

• Successfully managed simulation and reconstruction for SPECT, PET, CBCT, and MRI.
• Demonstrated workflow with clinical (Mida head phantom) and preclinical (Digimouse phantom) systems.
• Validated data transformation and adaptive parameter assignment capabilities.

Conclusions:

• The proposed workflow unifies and simplifies multimodal simulation and reconstruction management.
• This approach is valuable for synergistic image research in biomedical imaging.
• The software facilitates efficient data handling and processing for advanced imaging applications.