Speckle blood flow imaging method and device based on component analysis
A component analysis and imaging method technology, applied in the field of biological tissue optical blood flow imaging, can solve the problems of being easily affected by image jitter, low image temporal resolution, low image spatial resolution, etc. The effect of high resolution and high imaging accuracy
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2017-12-19
Smart Images

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Abstract
Description
technical field
[0001] The invention relates to the field of optical blood flow imaging of biological tissues, in particular to a speckle blood flow imaging method and device based on component analysis. Background technique
[0002] Laser speckle blood flow imaging belongs to the field of optical imaging technology. It obtains blood flow information by collecting speckle signals of biological tissues. It can obtain the blood flow distribution map of the whole field without injection of contrast agent and mechanical scanning. It has non-destructive and non-contact imaging advantages. At present, laser speckle blood flow imaging technology has been successfully applied to blood flow imaging and monitoring of cerebral cortex, skin, eye retina and other tissues, which is of great significance for the pathological diagnosis and analysis of some blood flow diseases.
[0003] The speckle blood flow imaging method usually continuously collects N frames of speckle images with a siz...
Examples
Embodiment Construction
[0040] refer to figure 1 , a speckle blood flow imaging method based on component analysis of the present invention, comprising the following steps:
[0041] The laser is irradiated to the sample to be tested, and the original blood flow speckle signal is transmitted;
[0042] Collect the original blood flow speckle signals including blood flow light intensity signals and tissue light intensity signals, and arrange them in time series;
[0043] The components of the original blood flow speckle signal are analyzed to obtain the blood flow light intensity signal produced by the moving red blood cells and the tissue light intensity signal produced by the background tissue;
[0044]Calculate the imaging parameters of each pixel of the blood flow profile;
[0045] Using the above steps, the imaging parameters of each row of pixels are sequentially obtained, and used as the gray value of the two-dimensional blood flow distribution map to establish a two-dimensional blood flow dist...