Spatiotemporal laser speckle contrast analysis for blood flow imaging with maximized speckle contrast

Qiu, Jianjun; Li, Pengcheng; Luo, Wang; Wang, Jia; Zhang, Hongyan; Luo, Qi

doi:10.1117/1.3290804

Cited by 87 publications

(52 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…LSCI suffers from a trade-off between K-accuracy and spatial resolution, as K must be determined over a sufficient number of pixels. A practical approach [26][27][28] is to determine K in a small spatial region from subsequently acquired images, assuming ergodicity -ensemble statistics equal temporal statistics. Even if ergodicity is violated (e.g.…”

Section: Practical Considerationsmentioning

confidence: 99%

“…The estimated K-value is reduced with respect to its true value for a small region-size to speckle-size ratio and the uncertainty in K is larger [27,28,32]. Large spatial regions result in a reduced spatial resolution.…”

Section: Validation Of Speckle Contrast Measurementmentioning

confidence: 99%

“…Spatiotemporal sampling can alleviate this resolution loss by (also) averaging over temporal pixels. In microcirculation imaging both spatial and temporal resolution are important, therefore we define a spatiotemporal local region [27,28].…”

Section: Validation Of Speckle Contrast Measurementmentioning

confidence: 99%

See 2 more Smart Citations

Quantitative laser speckle flowmetry of the in vivo microcirculation using sidestream dark field microscopy

Nadort

Woolthuis

Leeuwen

et al. 2013

Biomed. Opt. Express

View full text Add to dashboard Cite

Abstract:We present integrated Laser Speckle Contrast Imaging (LSCI) and Sidestream Dark Field (SDF) flowmetry to provide real-time, noninvasive and quantitative measurements of speckle decorrelation times related to microcirculatory flow. Using a multi exposure acquisition scheme, precise speckle decorrelation times were obtained. Applying SDF-LSCI in vitro and in vivo allows direct comparison between speckle contrast decorrelation and flow velocities, while imaging the phantom and microcirculation architecture. This resulted in a novel analysis approach that distinguishes decorrelation due to flow from other additive decorrelation sources.

show abstract

Section: Practical Considerationsmentioning

confidence: 99%

Section: Validation Of Speckle Contrast Measurementmentioning

confidence: 99%

See 1 more Smart Citation

Quantitative laser speckle flowmetry of the in vivo microcirculation using sidestream dark field microscopy

Nadort

Woolthuis

Leeuwen

et al. 2013

Biomed. Opt. Express

View full text Add to dashboard Cite

show abstract

“…The main schemes of computing the speckle images from the raw data are considered as temporal, spatial, or a combination of these two techniques. A more detailed description can be found in the literature [13]. In the present work, we have calculated the speckle contrast for each image with a spatial window size of 7 × 7 camera pixels.…”

mentioning

confidence: 99%

Laser-speckle-based detection of fluid pulsation in the presence of motion artifacts: in vitro and in vivo study

et al. 2013

View full text Add to dashboard Cite

We have performed an in vitro and in vivo study, based on laser speckle contrast analysis, to detect fluid pulsation in the presence of artifacts caused by the relative motion between the sample and the illumination source. We observe that the pulsation signal is clearly detectable for a range of motion amplitudes and oscillation frequencies; however, for higher amplitudes and oscillation frequencies of motion, the signal, due to pulsation, becomes increasingly difficult to detect.

show abstract

“…Meanwhile, the PA images are obtained using a reflection-mode PA microscope (PM) to scan the rat skull. The lateral resolution of the rat brain is 30 µm [16] . Before the registration process, the LS images are interpolated to match their image resolutions.…”

mentioning

confidence: 99%

Co-registration method for photoacoustic imaging and laser speckle imaging

Gao¹,

Deng²,

Tong³

et al. 2012

中国光学快报

View full text Add to dashboard Cite

Combining photoacoustic (PA) imaging with laser speckle (LS) imaging (LSI) can simultaneously determine total hemoglobin concentration (HbT), hemoglobin oxygen saturation (SO2), and blood flow rates. Thus, the co-registration of PA and LS images is important in physiological studies and pathological diagnosis. This letter presents a co-registration algorithm combining mutual information with the maximum betweenclass variance segmentation method (Otsu method). The mutual information and Otsu method are used to provide the registration measure criterion and image feature recognition, respectively. The evaluation results show that the registration function possesses a single maximum peak and high smoothness across the global co-registration district, indicating a robust behavior. Moreover, this method has good registration accuracy, and the fusion result simultaneously visualizes the separate functional information of two kinds of images.OCIS codes: 110.6150, 110.5120, 100.2000codes: 110.6150, 110.5120, 100. , 170.2655 Photoacoustic (PA) imaging (PAI) is a rapidly emerging, noninvasive imaging method. It visualizes the structural and functional characteristics of biological tissues by ultrasonically detecting their optical absorption contrast of these tissues in vivo, breaking highly optical scattering limitations and achieving super-depth high-resolution optical imaging [1−3] . Thus, the method has been widely applied in monitoring angiogenesis, melanoma, hemoglobin oxygen saturation (SO2) [4] , and total hemoglobin concentration (HbT) [1,2] . Laser speckle (LS) imaging (LSI), a no-scanning, noninvasive imaging tool, could achieve highly spatial (tens of microns) and temporal (millisecond) resolutions for imaging biological tissues in vivo [5,6] . The temporal and spatial statistics of speckle pattern intensity fluctuations contain the movement information of the object observed. Local velocity distributions should be measured properly by analyzing local speckle contrast variations [6] . Thus, LSI is always used for monitoring capillary blood flow rates in the skin and cerebral blood flow rates [6−8] . Combining PA and LS images could simultaneously provide HbT, SO2, and capillary blood flow information. The multimodality image coregistration technology is the foundation of fusion, which is significant for understanding the normal and pathophysiological conditions of neurovascular, metabolic, and hemodynamic interactions [9,10] . These multimodality coregistration methods can be classified as either extrinsic, intrinsic (including landmarks, segmentation-and mutual-information-based registration), or non-imagebased registration methods [11,12] . The mutual information method does not need assumptions and limiting constraints for the image content. Thus, it is a very general and powerful criterion for multimodality image coregistration. However, mutual information is only sensitive to gray-level distribution and does not include spatial information. Therefore, it fails in some multimodality co-registration method...

show abstract

Spatiotemporal laser speckle contrast analysis for blood flow imaging with maximized speckle contrast

Cited by 87 publications

References 18 publications

Quantitative laser speckle flowmetry of the in vivo microcirculation using sidestream dark field microscopy

Quantitative laser speckle flowmetry of the in vivo microcirculation using sidestream dark field microscopy

Laser-speckle-based detection of fluid pulsation in the presence of motion artifacts: in vitro and in vivo study

Co-registration method for photoacoustic imaging and laser speckle imaging

Contact Info

Product

Resources

About