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  1. Home
  3. Accelerated Spad-based Diffuse Optical Tomography With Data-driven View Optimization.
  1. Home
  3. Accelerated Spad-based Diffuse Optical Tomography With Data-driven View Optimization.

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Accelerated SPAD-Based Diffuse Optical Tomography With Data-Driven View Optimization.

Linlin Li1, Kaiqi Kuang1, Yang Lin2

  • 1School of Information Science and Technology, ShanghaiTech University, Shanghai, China.

Journal of Biophotonics
|May 28, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

This study introduces a faster time-domain diffuse optical tomography (TD-DOT) method using fewer views. The new approach accelerates imaging for applications like brain function monitoring without losing image quality.

Keywords:
diffuse optical tomographyfunctional brain imagingimage reconstructionsingle‐photon avalanche diodesparse view

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Area of Science:

  • Biomedical Optics
  • Medical Imaging

Background:

  • Time-domain diffuse optical tomography (TD-DOT) is a non-invasive imaging technique using near-infrared light.
  • Advanced SPAD arrays improve TD-DOT data quality but increase acquisition times.

Purpose of the Study:

  • To develop a data-driven strategy to reduce the number of views in TD-DOT acquisition.
  • To accelerate TD-DOT imaging without compromising image quality for biological monitoring.

Main Methods:

  • Developed a noncontact TD-DOT system with a pulsed laser, SPAD array, and rotational stage.
  • Implemented a data-driven view-optimization strategy leveraging time-resolved measurements.
  • Validated the method using simulations and phantom experiments.

Main Results:

  • The proposed method significantly reduces the number of required views in TD-DOT.
  • Image reconstruction quality remained robust and comparable to full-view acquisition.
  • The accelerated TD-DOT demonstrated potential for monitoring dynamic biological processes.

Conclusions:

  • A novel view-optimization strategy accelerates TD-DOT imaging.
  • This technique maintains high-fidelity reconstruction, enabling efficient monitoring of biological dynamics like cerebral hemodynamics.