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High-resolution imaging of microvasculature in human skin in-vivo with optical coherence tomography.

Liu G, Jia W, Sun V, Choi B, Chen Z - Opt Express (2012)

Bottom Line: The effects of beam scanning density, flow rate and the time interval between neighboring A-lines on the performance of this method were investigated.In comparison to laser speckle imaging maps of blood flow, we demonstrated the ability of the method to identify vessels with altered blood flow.These results collectively demonstrated the potential of the method to monitor the microvasculature during disease progression and in response to therapeutic intervention.

View Article: PubMed Central - PubMed

Affiliation: Beckman Laser Institute, University of California, Irvine, Irvine, California 92612, USA. gangjun@gmail.com

ABSTRACT
In this paper, the features of the intensity-based Doppler variance (IBDV) method were analyzed systemically with a flow phantom. The effects of beam scanning density, flow rate and the time interval between neighboring A-lines on the performance of this method were investigated. The IBDV method can be used to quantify the flow rate and its sensitivity can be improved by increasing the time interval between the neighboring A-lines. A higher sensitivity IBDV method that applies the algorithm along the slower scan direction was proposed. In comparison to laser speckle imaging maps of blood flow, we demonstrated the ability of the method to identify vessels with altered blood flow. In clinical measurements, we demonstrated the ability of the method to image vascular networks with exquisite spatial resolution and at depths up to 1.2 mm in human skin. These results collectively demonstrated the potential of the method to monitor the microvasculature during disease progression and in response to therapeutic intervention.

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The effect of sampling density on the performance of IBDV. (a) OCT image of a flow phantom. (b)-(m) IBDV images at different sampling density levels. The Sds in (b)-(m) mean the sampling density level. (n) The relationship between background average IBDV versus the sampling density level. The scale bars in (a) represent 500 µm.
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g003: The effect of sampling density on the performance of IBDV. (a) OCT image of a flow phantom. (b)-(m) IBDV images at different sampling density levels. The Sds in (b)-(m) mean the sampling density level. (n) The relationship between background average IBDV versus the sampling density level. The scale bars in (a) represent 500 µm.

Mentions: The IBDV method is based on the intensity (or amplitude) autocorrelation between adjacent beam scanning locations. Autocorrelation requires certain correlation among the adjacent scanning locations (or A-lines) and the lateral shift between adjacent scanning locations will decrease autocorrelation level and increase the decorrelation noise. The decrease in autocorrelation will degrade the performance of the method. Therefore, the beam scanning density (or sampling density) is important to the performance of the method. In order to investigate the effect of beam scanning density on the performance of the IBDV, we analyzed the average background IBDV values at different beam scanning density levels. Figure 3(a)Fig. 3


High-resolution imaging of microvasculature in human skin in-vivo with optical coherence tomography.

Liu G, Jia W, Sun V, Choi B, Chen Z - Opt Express (2012)

The effect of sampling density on the performance of IBDV. (a) OCT image of a flow phantom. (b)-(m) IBDV images at different sampling density levels. The Sds in (b)-(m) mean the sampling density level. (n) The relationship between background average IBDV versus the sampling density level. The scale bars in (a) represent 500 µm.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3368711&req=5

g003: The effect of sampling density on the performance of IBDV. (a) OCT image of a flow phantom. (b)-(m) IBDV images at different sampling density levels. The Sds in (b)-(m) mean the sampling density level. (n) The relationship between background average IBDV versus the sampling density level. The scale bars in (a) represent 500 µm.
Mentions: The IBDV method is based on the intensity (or amplitude) autocorrelation between adjacent beam scanning locations. Autocorrelation requires certain correlation among the adjacent scanning locations (or A-lines) and the lateral shift between adjacent scanning locations will decrease autocorrelation level and increase the decorrelation noise. The decrease in autocorrelation will degrade the performance of the method. Therefore, the beam scanning density (or sampling density) is important to the performance of the method. In order to investigate the effect of beam scanning density on the performance of the IBDV, we analyzed the average background IBDV values at different beam scanning density levels. Figure 3(a)Fig. 3

Bottom Line: The effects of beam scanning density, flow rate and the time interval between neighboring A-lines on the performance of this method were investigated.In comparison to laser speckle imaging maps of blood flow, we demonstrated the ability of the method to identify vessels with altered blood flow.These results collectively demonstrated the potential of the method to monitor the microvasculature during disease progression and in response to therapeutic intervention.

View Article: PubMed Central - PubMed

Affiliation: Beckman Laser Institute, University of California, Irvine, Irvine, California 92612, USA. gangjun@gmail.com

ABSTRACT
In this paper, the features of the intensity-based Doppler variance (IBDV) method were analyzed systemically with a flow phantom. The effects of beam scanning density, flow rate and the time interval between neighboring A-lines on the performance of this method were investigated. The IBDV method can be used to quantify the flow rate and its sensitivity can be improved by increasing the time interval between the neighboring A-lines. A higher sensitivity IBDV method that applies the algorithm along the slower scan direction was proposed. In comparison to laser speckle imaging maps of blood flow, we demonstrated the ability of the method to identify vessels with altered blood flow. In clinical measurements, we demonstrated the ability of the method to image vascular networks with exquisite spatial resolution and at depths up to 1.2 mm in human skin. These results collectively demonstrated the potential of the method to monitor the microvasculature during disease progression and in response to therapeutic intervention.

Show MeSH
Related in: MedlinePlus