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Multifrequency synthesis and extraction using square wave projection patterns for quantitative tissue imaging.

Kyle P Nadeau¹, Tyler B Rice², Anthony J Durkin¹

¹Beckman Laser Institute, Laser Microbeam and Medical Program, 1002 Health Sciences Road, Irvine, California 92612 United States.

Journal of Biomedical Optics

|November 3, 2015

Summary

This summary is machine-generated.

We developed a faster method for spatial frequency domain data acquisition using binary square wave patterns. This technique improves data acquisition speed and accurately determines optical properties and depth information.

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Area of Science:

Biomedical Optics
Optical Imaging
Photonics

Background:

Spatial Frequency Domain Imaging (SFDI) is a powerful technique for non-invasively measuring subsurface optical properties.
Conventional SFDI typically uses sinusoidal patterns, which can limit data acquisition speed due to longer camera exposure times.
There is a need for faster and more efficient methods in SFDI for various biomedical and material science applications.

Purpose of the Study:

To introduce a novel multifrequency synthesis and extraction (MSE) method for spatial frequency domain data acquisition.
To demonstrate the utility of binary square wave projection patterns for enhanced imaging speed and accuracy.
To compare the performance of the new method with conventional sinusoidal SFDI.

Main Methods:

Illuminating samples with binary square wave patterns to simultaneously attenuate and extract multiple spatial frequency components.
Utilizing multifrequency synthesis and extraction (MSE) for data processing.
Comparing results from square wave patterns (fundamental and harmonic components) with sinusoidal patterns on in vivo human forearm and phantom.

Main Results:

Achieved data acquisition speeds an order of magnitude greater than conventional SFDI.
Demonstrated accurate determination of optical properties (absorption and reduced scattering coefficients) with agreement within 1% of conventional SFDI.
Obtained depth penetration reflectance values also within 1% agreement with conventional SFDI.

Conclusions:

Binary square wave projection patterns combined with MSE offer a significantly faster alternative to conventional SFDI.
The method accurately quantifies optical properties and depth information, suitable for both superficial and deeper layer analysis.
This advancement has the potential to broaden the applicability of SFDI in clinical and research settings.