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    This study introduces self-collimation using multi-layer detectors for single photon emission computed tomography (SPECT) systems. This novel approach overcomes the resolution-sensitivity trade-off, achieving superior imaging performance for various SPECT applications.

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    Area of Science:

    • Medical Imaging
    • Nuclear Medicine
    • Detector Physics

    Background:

    • Conventional single photon emission computed tomography (SPECT) systems face limitations due to the interdependent nature of resolution and sensitivity, often requiring a compromise.
    • Mechanical collimation in traditional SPECT restricts simultaneous optimization of both imaging properties.

    Purpose of the Study:

    • To introduce and evaluate a novel "self-collimation" approach using multi-layer, in-terspaced mosaic detectors (MATRICES) for SPECT.
    • To demonstrate the potential for simultaneously achieving high resolution and sensitivity in SPECT imaging.

    Main Methods:

    • Development and evaluation of three self-collimating SPECT systems: simulated human brain SPECT, simulated mouse SPECT, and a SPECT prototype.
    • Assessment of imaging performance including sensitivity, resolution of hot-rod patterns, and separation of point sources.

    Main Results:

    • Simulated human brain SPECT achieved 3.88% sensitivity and resolved 0.5-mm/1.0-mm hot-rod patterns.
    • Simulated mouse SPECT achieved 1.25% sensitivity and resolved 50-µm/100-µm hot-rod patterns.
    • A SPECT prototype demonstrated 0.14% sensitivity and resolved 0.3-mm diameter point sources with 0.3-mm center-to-center separation.

    Conclusions:

    • The self-collimation approach significantly outperforms conventional mechanical collimation in SPECT.
    • This technology represents a potential paradigm shift, offering unprecedented system performance for SPECT development.