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3D mouse shape reconstruction based on phase-shifting algorithm for fluorescence molecular tomography imaging system.

Yue Zhao, Dianwen Zhu, Reheman Baikejiang

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    Summary
    This summary is machine-generated.

    We developed a rapid 3D surface reconstruction method using fringe projection for fluorescence molecular tomography (FMT). This technique accurately captures mouse geometry, essential for advanced FMT imaging applications.

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    Area of Science:

    • Biomedical Imaging
    • Optical Metrology
    • 3D Reconstruction

    Background:

    • Accurate 3D surface geometry is crucial for fluorescence molecular tomography (FMT) imaging.
    • Existing methods for obtaining mouse surface geometry can be time-consuming or lack robustness.

    Purpose of the Study:

    • To introduce a fast, low-cost, and robust method for acquiring 3D mouse surface geometry.
    • To enable precise finite element mesh generation for FMT imaging.

    Main Methods:

    • Utilized fringe pattern projection and phase shifting with two pico projector/webcam pairs for multi-view data acquisition.
    • Calibrated system parameters and employed a cylindrical bar for coordinate system transformation.
    • Processed fringe patterns to generate 3D point clouds, merged them, and applied Digiwarp for surface reconstruction.

    Main Results:

    • Achieved 3D surface reconstruction in under 30 seconds with 0.5 mm accuracy.
    • Successfully reconstructed an embedded fluorescence target in a mouse-shaped phantom using the generated mesh for FMT.

    Conclusions:

    • The proposed fringe projection method provides sufficient accuracy and speed for generating finite element meshes for FMT.
    • This validated approach enhances the precision and applicability of FMT imaging in preclinical research.