Performance assessment of high-density diffuse optical topography regarding source-detector array topology

Area of Science:

• Neuroscience
• Biomedical Engineering
• Optical Imaging

Background:

• Optical neuroimaging systems are advancing brain activity understanding.
• High-density diffuse optical topography (HD-DOT) offers spatial resolution comparable to fMRI.
• Source-detector (SD) array topology is crucial for HD-DOT hemodynamic reconstruction quality.

Purpose of the Study:

• To investigate the impact of different source-detector (SD) configurations on cerebral hemodynamic recovery in HD-DOT.
• To determine the optimal SD arrangement for enhancing image quality in optical neuroimaging.

Main Methods:

• Utilized a simulation setup based on an analytical approach to model HD-DOT.
• Analyzed the effect of various SD array topologies on the Jacobian matrix.
• Evaluated hemodynamic reconstruction quality based on SD configuration.

Main Results:

• The arrangement of the SD array directly influences the elements of the Jacobian matrix.
• A greater number of unique elements in the Jacobian matrix correlates with improved retrieval quality.
• The multi-distance multi-directional (MDMD) SD arrangement yielded more unique Jacobian elements.

Conclusions:

• The MDMD SD configuration enhances the accuracy of cerebral hemodynamic recovery in HD-DOT.
• Optimal SD array design is critical for precise brain activity mapping using diffuse optical topography.
• This study provides insights into optimizing HD-DOT systems for improved neuroimaging.