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Performance optimisation of a holographic Fourier domain diffuse correlation spectroscopy instrument
Edward James1, Samuel Powell1,2, Peter Munro1
1Department of Medical Physics & Biomedical Engineering, University College London, London, WC1E 6BT, UK.
Biomedical Optics Express
|August 22, 2022
Summary
This study enhances diffuse correlation spectroscopy (DCS) for better in vivo flow measurements. A novel denoising algorithm significantly improves signal-to-noise ratio, crucial for deeper tissue imaging.
Area of Science:
- Biomedical Optics
- Photonics
- Medical Imaging
Background:
- Diffuse correlation spectroscopy (DCS) is vital for non-invasive blood flow measurement.
- Previous systems faced limitations in signal-to-noise ratio (SNR) and imaging depth.
- Pulsatile flow measurements require high SNR and accurate intensity profile reconstruction.
Purpose of the Study:
- To systematically characterize and improve the SNR performance of an interferometric multispeckle Fourier domain DCS system.
- To address noise sources and enhance the fidelity of flow measurements.
- To achieve significant SNR gain for deeper tissue imaging in DCS.
Main Methods:
- Utilized holographic camera-based detection for multispeckle acquisition.
- Implemented laser mode hopping elimination and modulation transfer function correction.
- Applied singular value decomposition and a novel multispeckle denoising algorithm.
Main Results:
- Achieved a signal-to-noise ratio (SNR) gain equal to the square root of the number of detected speckles.
- Demonstrated parallel detection of up to ~1290 speckles.
- Reported an SNR gain of 36, significantly improving system performance.
Conclusions:
- The developed denoising algorithm substantially enhances SNR in multispeckle DCS.
- This advancement mitigates the SNR-depth trade-off, enabling deeper non-invasive blood flow imaging.
- The system shows promise for improved clinical applications requiring accurate in vivo flow quantification.
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