Linear 3D reconstruction of time-domain diffuse optical imaging differential data: improved depth localization and...

Area of Science:

• Biomedical Optics
• Medical Imaging
• Photonics

Background:

• Diffuse optical imaging (DOI) is a non-invasive technique for visualizing tissue.
• Time-domain (TD) DOI offers depth resolution, but reconstruction can be challenging.
• Continuous-wave (CW) DOI lacks depth information.

Purpose of the Study:

• To present a novel 3D linear reconstruction method for TD diffuse optical imaging.
• To evaluate the performance and parameter influence of the proposed method.
• To compare TD DOI reconstruction with CW imaging.

Main Methods:

• Computed sensitivity matrices within the diffusion approximation for a semi-infinite medium.
• Employed spatially varying regularization for matrix inversion.
• Validated the method using simulated data and phantom experiments.

Main Results:

• Achieved 3D reconstructions from TD diffuse optical imaging differential data.
• Demonstrated improved lateral resolution and localization compared to CW imaging.
• Successfully reconstructed an absorbing inclusion at various depths in phantom studies.

Conclusions:

• The proposed 3D linear reconstruction method enhances spatial resolution in TD diffuse optical imaging.
• This approach offers superior localization capabilities for detecting absorbers within scattering tissues.
• The method shows promise for advanced biomedical imaging applications.