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Traverse angle computations are a critical component of surveying, used to compute the internal angles within a closed traverse. A traverse consists of a series of connected lines forming a closed loop, often used for land boundary delineation or mapping. Calculating the internal angles ensures accuracy in the traverse geometry and is essential for checking survey data integrity.The process begins with known azimuths and bearings of the traverse sides. Internal angles at each vertex are...
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DukeSim: A Realistic, Rapid, and Scanner-Specific Simulation Framework in Computed Tomography.

Ehsan Abadi, Brian Harrawood, Shobhit Sharma

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    Summary

    A new CT simulation platform, DukeSim, accurately models commercial scanners and physics for virtual trials. This tool optimizes CT protocols, enhancing image quality while reducing radiation dose efficiently.

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    Area of Science:

    • Medical Physics
    • Computational Imaging
    • Radiological Sciences

    Background:

    • Accurate simulation of computed tomography (CT) is crucial for protocol optimization and dose reduction.
    • Existing platforms often lack detailed modeling of scanner physics or compatibility with voxel-based phantoms.
    • There is a need for computationally efficient CT simulation tools for virtual clinical trials.

    Purpose of the Study:

    • To develop DukeSim, a CT simulation platform compatible with voxel-based phantoms.
    • To model commercial CT scanner geometry and physics accurately.
    • To enable efficient virtual evaluation and optimization of CT protocols for image quality and radiation dose.

    Main Methods:

    • DukeSim utilizes ray-tracing and Monte Carlo techniques to generate projection images from voxelized phantoms.
    • The platform incorporates detailed models for detector physics, noise, crosstalk, and bowtie filters.
    • GPU computing accelerates the simulation process, achieving efficient runtimes.

    Main Results:

    • DukeSim demonstrated high realism, with relative errors below 3% compared to clinical scans for key image quality metrics.
    • Simulations achieved high accuracy in image contrast, noise magnitude, noise texture, and spatial resolution.
    • The platform achieved a runtime of approximately 2-3 minutes per rotation using 4 GPUs.

    Conclusions:

    • DukeSim provides a validated and computationally efficient tool for realistic CT simulations.
    • The platform facilitates virtual clinical trials for scanner and patient-specific protocol optimization.
    • DukeSim aids in achieving targeted image quality while minimizing radiation exposure in CT imaging.