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Simulating imaging-based tomographic systems using optical design software for resolving 3D structures of translucent

Madison Rilling, Louis Archambault, Simon Thibault

    Applied Optics
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    Summary
    This summary is machine-generated.

    This study introduces a novel optical design software method for simulating imaging tomography systems. This approach optimizes imaging system development for applications like radiation therapy and combustion diagnostics.

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    Area of Science:

    • Optics
    • Medical Physics
    • Computational Imaging

    Background:

    • Imaging-based tomography is crucial for 3D structure resolution in translucent media, particularly for external beam radiation therapy and combustion diagnostics.
    • Designing and optimizing tomography prototypes is currently time-consuming, costly, and lacks certainty regarding optical performance.

    Purpose of the Study:

    • To present an optical-design-software-based method for end-to-end simulation of imaging-based tomography systems.
    • To validate this method using 3D scintillation dosimetry and compare the performance of different camera types.

    Main Methods:

    • Developed a simulation workflow using Zemax OpticStudio's real ray tracing capabilities.
    • Applied the method to simulate multiple imaging systems for a 3D scintillation dosimetry experiment.
    • Assessed tomographic performance for reconstructing radiation dose distributions using standard and focused plenoptic cameras.

    Main Results:

    • The simulation method was successfully validated in the context of 3D scintillation dosimetry.
    • The workflow allowed for the assessment and comparison of tomographic performance between standard and focused plenoptic cameras.
    • Demonstrated the capability to reconstruct a clinical radiation dose distribution.

    Conclusions:

    • The proposed optical design software method facilitates end-to-end simulation of imaging tomography systems.
    • This versatile approach can significantly ease the development and optimization of imaging systems for volumetric emission computed tomography.
    • The findings support the use of simulation for improving imaging system design in radiation therapy and diagnostics.