Deep tissue flowmetry using diffuse speckle contrast analysis

一种血流、组织的技术，应用在血流测量、应用、医药科学等方向，能够解决多信道测量困难、低采样率、低信道数等问题

Active Publication Date: 2015-12-23
PEDRA TECH PTE LTD
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Problems solved by technology

[0005] Although successful in monitoring mean microcirculation in deep tissue, DCS has several disadvantages, including complex hardware requirements (e.g. lasers with long coherence lengths, photon-counting avalanche photodiodes, fast counters, etc.), non-trivial data analysis (e.g. fast autocorrelation calculation, model fitting by optimization, etc.), low sampling rate and low number of channels make multi-channel measurement difficult
These limitations pose a challenge to the application of DCS as a robust real-time clinical monitoring device

Method used

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  • Deep tissue flowmetry using diffuse speckle contrast analysis

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Embodiment Construction

[0025] Over the past decade or so, DCS technology has been developed, validated, and used to noninvasively detect blood flow in deep tissue vessels such as the brain, muscle, and breast. Unlike some other blood flow measurement techniques, such as positron emission tomography (PET), single photon emission computed tomography (SPECT), and xenon-enhanced computed tomography (XeCT), DCS uses non-ionizing radiation and does not require contrast agents. It does not interfere with common medical devices such as pacemakers and metal implants. It thus has potential for cancer therapy monitoring and bedside monitoring in clinical settings.

[0026] However, traditional DCS analysis is limited by long observation time, high cost, and low number of channels measured simultaneously. One factor addressing these limitations relies on very sensitive photodetectors and subsequent autocorrelation calculations. An improved blood flow meter system provides cost-effective real-time measurements...

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Abstract

Blood flow rates can be calculated using diffuse speckle contrast analysis in spatial and time domains. In the spatial domain analysis, a multi-pixel image sensor can be used to detect a spatial distribution of speckles in a sample caused by diffusion of light from a coherent light source that is blurred due to the movement of scatterers within the sample (e.g., red blood cells moving within a tissue sample). Statistical analysis of the spatial distribution can be used to calculate blood flow. In the time domain analysis, a slow counter can be used to obtain time-series fluctuations in light intensity in a sample caused by diffusion of light in the sample that is smoothened due to the movement of scatterers. Statistical analysis of the time-series data can be used to calculate blood flow.

Description

[0001] Cross References to Related Applications [0002] This application claims priority to US Provisional Application No. 61 / 755700 and US Provisional Application No. 61 / 830256, filed January 23, 2013. The entire content of each of these applications is incorporated by reference. technical field [0003] The present disclosure relates to systems and methods for measuring deep tissue blood flow, particularly by non-invasive optical methods. Background technique [0004] Diffusion correlation spectroscopy (DCS) is a noninvasive optical method for probing blood flow in deep tissues. The principle of DCS is based on the fact that the intensity of transmitted light measured in a sufficiently small area will fluctuate mainly due to the motion of scatterers (such as red blood cells) during the propagation of diffuse light. Therefore, when the autocorrelation function is calculated from the fluctuating transmitted light intensity, the decay rate of the autocorrelation increases ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/026
CPCA61B5/7246A61B5/0261
Inventor 李基准毕人哲董婧
Owner PEDRA TECH PTE LTD
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