Ultrasound Speckle Decorrelation-Based Blood Flow Measurements

Park, Dong Chan; Park, Dae Woo

doi:10.1016/j.ultrasmedbio.2023.03.003

Cited by 7 publications

(4 citation statements)

References 51 publications

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“…( 7) numerically using Mathematica 11 and compared the resultant solution to the analytical solution in Eq. (10). A good agreement between the analytic and numerical solution is observed (Fig.…”

Section: Numerical Solutionsupporting

confidence: 67%

“…5 Solid lines show the contrast K S ð3 2 ; 1Þ, K S ð7 2 ; 3Þ, and K S ð15 2 ; Þ calculated using Eqs. ( 6) and (10) for spatial correlation submatrix of 3 × 3, 7 × 7, and 15 × 15 pixels in pink, blue, and red, respectively. Dots show the experimental data for 3 × 3, 7 × 7, and 15 × 15 pixels, in pink, blue, and red, respectively.…”

Section: Experimental Validation Of Proposed Modelmentioning

confidence: 99%

“…(34), we arrive at the following expression for the factors 1∕μ η;ξ , which is Eq. (10) in the main text: E Q -T A R G E T ; t e m p : i n t r a l i n k -; e 0 3 6 ; 1 1 7 ; 3 2 0…”

Section: Disclosuresmentioning

confidence: 99%

“…Implementation of Eqs. ( 6) and (10) as functions in MATLAB and Mathematica are available at the GitHub repository: SpatialSpeckle, https://github.com/SpeckleContrast/SpatialSpeckle…”

Section: Disclosuresmentioning

confidence: 99%

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Improved spatial speckle contrast model for tissue blood flow imaging: effects of spatial correlation among neighboring camera pixels

Juarez-Ramirez,

Coyotl-Ocelotl,

Choi

et al. 2023

J. Biomed. Opt.

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Speckle contrast analysis is the basis of laser speckle imaging (LSI), a simple, inexpensive, noninvasive technique used in various fields of medicine and engineering. A common application of LSI is the measurement of tissue blood flow. Accurate measurement of speckle contrast is essential to correctly measure blood flow. Variables, such as speckle grain size and camera pixel size, affect the speckle pattern and thus the speckle contrast.Aim: We studied the effects of spatial correlation among adjacent camera pixels on the resulting speckle contrast values.Approach: We derived a model that accounts for the potential correlation of intensity values in the common experimental situation where the speckle grain size is larger than the camera pixel size. In vitro phantom experiments were performed to test the model. Results: Our spatial correlation model predicts that speckle contrast first increases, then decreases as the speckle grain size increases relative to the pixel size. This decreasing trend opposes what is observed with a standard speckle contrast model that does not consider spatial correlation. Experimental data are in good agreement with the predictions of our spatial correlation model. Conclusions:We present a spatial correlation model that provides a more accurate measurement of speckle contrast, which should lead to improved accuracy in tissue blood flow measurements. The associated correlation factors only need to be calculated once, and open-source software is provided to assist with the calculation.

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Section: Numerical Solutionsupporting

confidence: 67%

Section: Experimental Validation Of Proposed Modelmentioning

confidence: 99%

“…(34), we arrive at the following expression for the factors 1∕μ η;ξ , which is Eq. (10) in the main text: E Q -T A R G E T ; t e m p : i n t r a l i n k -; e 0 3 6 ; 1 1 7 ; 3 2 0…”

Section: Disclosuresmentioning

confidence: 99%

“…Implementation of Eqs. ( 6) and (10) as functions in MATLAB and Mathematica are available at the GitHub repository: SpatialSpeckle, https://github.com/SpeckleContrast/SpatialSpeckle…”

Section: Disclosuresmentioning

confidence: 99%

See 2 more Smart Citations

Improved spatial speckle contrast model for tissue blood flow imaging: effects of spatial correlation among neighboring camera pixels

Juarez-Ramirez,

Coyotl-Ocelotl,

Choi

et al. 2023

J. Biomed. Opt.

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Effects of Ultrasound for Bio‐Applications

Yuan,

Li,

2024

Advanced Sensor Research

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Ultrasound (US), as a non‐invasive mechanical wave, has served as a visual tool for medical diagnosis and therapy for echolocation effect, cavitation effect, thermal effect, and generation of reactive oxygen species (ROS) with the aid of sonosensitizers. This review summarizes the history, effects, and biomedical applications of US, and US‐assisted cancer therapy is highlighted. The rational combination of US with near‐infrared afterglow nanoparticles, anti‐tumor prodrugs, and stimuli‐responsive nanocarriers, demonstrates the great promise for bioimaging, cancer therapy, and drug delivery, promoting US‐related technology in biomedical diagnosis and therapeutics.

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Adaptive Clutter Filtering for Speckle Decorrelation-Based Blood Flow Measurements

Park,

Park

2024

J. Electr. Eng. Technol.

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Ultrasound Speckle Decorrelation-Based Blood Flow Measurements

Cited by 7 publications

References 51 publications

Improved spatial speckle contrast model for tissue blood flow imaging: effects of spatial correlation among neighboring camera pixels

Improved spatial speckle contrast model for tissue blood flow imaging: effects of spatial correlation among neighboring camera pixels

Effects of Ultrasound for Bio‐Applications

Adaptive Clutter Filtering for Speckle Decorrelation-Based Blood Flow Measurements

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