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Multispectral Optoacoustic Tomography for Functional Imaging in Vascular Research
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Software-defined optoacoustic tomography.

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    This study introduces software-defined optoelectronics (SDO) for bidimensional optoacoustic tomography (OAT). The novel system enhances phase recovery and image reconstruction for adaptive instrumentation.

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    Area of Science:

    • Optoelectronics
    • Biomedical Imaging
    • Signal Processing

    Background:

    • Optoacoustic tomography (OAT) is a hybrid imaging modality.
    • Traditional OAT systems often lack flexibility and adaptability.
    • Software-defined hardware offers potential for advanced instrumentation.

    Purpose of the Study:

    • To present the first application of software-defined optoelectronics (SDO) for bidimensional optoacoustic tomography (OAT).
    • To develop an adaptive OAT system leveraging software-defined radio (SDR) capabilities.
    • To evaluate the performance and image reconstruction quality of the SDO-OAT system.

    Main Methods:

    • Implementation of an OAT system using a Mach-Zehnder heterodyne interferometer.
    • Integration of a commercial software-defined radio (SDR) platform as a function generator and oscilloscope.
    • Utilizing SDR for precise carrier synchronization in a coherent baseband modulator scheme.

    Main Results:

    • Demonstrated the feasibility of SDO for bidimensional OAT.
    • Achieved significantly improved phase recovery due to carrier synchronization.
    • Successfully reconstructed images from bidimensional phantoms with the SDO-OAT system.

    Conclusions:

    • Software-defined optoelectronics provides a flexible and adaptive platform for OAT.
    • The developed SDO-OAT system shows promise for advanced biomedical imaging applications.
    • Further research can explore enhanced adaptive capabilities and performance optimization.