Presentation + Paper
3 March 2022 Speckle statistics of cortical brain tissue in optical coherence tomography
Author Affiliations +
Abstract
A recent theoretical framework using power-law functions was proposed to model scattering from biological tissues in ultrasound and optical coherence tomography. Multi-scale scattering sites such as the fractal branching vasculature will then contribute to power-law based probability distributions of speckle statistics. These distributions are the Burr type XII distribution, the Lomax distribution, and the generalized logistic distribution for speckle amplitude, intensity, and log amplitude, respectively. Previous experiments with ultrasound and optical coherence tomography demonstrate that these distributions are better fits to image histogram data of various biological tissues when compared with classical models (e.g., Rayleigh, K, and gamma distributions). Of critical importance is that this framework provides novel parameters, most notably the power-law exponent parameter, for characterizing the physics of scattering from soft tissue. The typical range for the exponent parameter in other normal tissues is approximately 3 to 6. The aim is for this parameter to be used as a new biomarker for diagnostic imaging, sensitive to changes in tissue structures. Here, we demonstrate a specific application to mouse brain tissue, in which the exponent parameter is used to characterize mouse cortical brain under various conditions including ex vivo and in vivo using optical coherence tomography.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gary R. Ge, Wei Song, Maiken Nedergaard, Jannick P. Rolland, and Kevin J. Parker "Speckle statistics of cortical brain tissue in optical coherence tomography", Proc. SPIE 11974, Biomedical Applications of Light Scattering XII, 1197403 (3 March 2022); https://doi.org/10.1117/12.2608850
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KEYWORDS
Optical coherence tomography

Speckle

Brain

Tissues

Tissue optics

In vivo imaging

Neuroimaging

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