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Design of a source-detector array for dual-slope diffuse optical imaging.

Giles Blaney1, Angelo Sassaroli1, Sergio Fantini1

  • 1Department of Biomedical Engineering, Tufts University, Medford, Massachusetts 02155, USA.

The Review of Scientific Instruments
|October 2, 2020
PubMed
Summary
This summary is machine-generated.

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We developed methods to design and build optical imaging arrays using a dual-slope technique for scattering media. This approach optimizes array performance for accurate imaging and localization of absorption perturbations.

Area of Science:

  • Biomedical Optics
  • Optical Imaging
  • Scattering Media

Background:

  • Diffuse optical spectroscopy and imaging rely on specialized light source and detector configurations.
  • A dual-slope technique was previously proposed for enhanced imaging of scattering media.

Purpose of the Study:

  • To present methods for designing, optimizing, and constructing optical imaging arrays.
  • To enable imaging of n voxels using m dual-slope sets.
  • To establish performance metrics for dual-slope imaging.

Main Methods:

  • Formulating the inverse imaging problem using the Moore-Penrose pseudoinverse of the sensitivity matrix (S).
  • Defining performance measures including reconstruction accuracy, crosstalk, resolution, and localization.
  • Utilizing singular value decomposition to analyze the reconstructed map generation.

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  • Describing a physical array construction using a layered mesh embedded in PDMS.

    • Main Results:

    • Developed a framework to quantify imaging performance metrics.
    • Designed and selected an optimized array with 16 illumination fibers, 10 detection fibers, and 27 dual-slope sets.
    • Demonstrated array optimization for field of view and localization accuracy.

    Conclusions:

    • The presented methods provide a systematic approach to designing dual-slope optical imaging arrays.
    • The developed techniques are applicable to various imaging devices and scenarios, including functional near-infrared spectroscopy for brain imaging.