CN113925470A - Method for evaluating microcirculation function of small intestine - Google Patents
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Abstract
The invention belongs to the technical field of data analysis, and provides a method for evaluating the microcirculation function of small intestines. The invention realizes the comprehensive and accurate description of the functional characteristics of the small intestine microcirculation through the capture and analysis of the small intestine microcirculation hemodynamics and the microcirculation oxygen. Meanwhile, the visualization of the small intestine microcirculation function is realized through the universal microcirculation framework, and the scientificity of the small intestine microcirculation function characteristic display is improved.
Description
Technical Field
The invention belongs to the technical field of data analysis, and particularly relates to a method for evaluating the microcirculation function of small intestines.
Background
The small intestine microcirculation is a place where the small intestine absorbs nutrient substances in the intestinal tract and self histiocytes exchange substances with blood, has unique morphological characteristics and physiological functions, and the small intestine microcirculation dysfunction can influence the digestion, absorption, secretion and endocrine functions of the small intestine to cause metabolic disturbance of the organism.
As shown in fig. 1, the prior art mainly includes a morphological study method and a living microcirculation study method. The morphological research method usually adopts an optical microscope and an electronic microscope to observe isolated specimens, small intestine microvascular plastics and resin casting molds, and learns the microstructure and change of normal and pathological intestinal mucosa microcirculation. The living body microcirculation research method mainly includes microcirculation microscope living body observation of small intestine villus microcirculation, radioactive element: (99TC) in vivo labeling erythrocyte to measure small intestine blood flow perfusion.
The existing technology for evaluating the function of the small intestine microcirculation has the following objective defects:
(1) and (4) accuracy. The microcirculation microscope in the living microcirculation research method belongs to qualitative observation and analysis, and the result accuracy is general.
(2) And (4) safety. A radioactive element (a)99TC) in vivo labeled red blood cells are used for determining small intestine blood flow perfusion, which has higher requirements on experimental environment and radiation protection and influences on the health of experimenters;
(3) the morphological research method belongs to the microcirculation structure level, the microcirculation function of the small intestine cannot be reflected, and the scientificity and the accuracy of the evaluation of the microcirculation function of the small intestine are further influenced by the objective defects.
Therefore, how to improve the scientificity and accuracy of the display of the microcirculation function characteristics of the small intestine is a problem to be solved.
Disclosure of Invention
Aiming at the problems in the prior art, the invention aims to provide a method for evaluating the function of the small intestine microcirculation, which realizes the comprehensive and accurate description of the function characteristics of the small intestine microcirculation through the capture and analysis of the small intestine microcirculation hemodynamics and the microcirculation oxygen. In addition, the invention realizes the visualization of the small intestine microcirculation function through the general microcirculation framework, and improves the scientificity of the small intestine microcirculation function characteristic display.
The purpose of the invention is realized by the following technical scheme:
a method for evaluating the microcirculation function of small intestine comprises the following steps:
collecting small intestine microcirculation function data including small intestine microcirculation oxygen parameter and blood flow dynamics parameter by using a small intestine microcirculation function evaluation device, and respectively storing the data into a lossless data format for analysis; the device for evaluating the microcirculation function of the small intestine comprises a microcirculation oxygen partial pressure monitor and a dual-channel laser Doppler monitor, wherein an optical probe of the device is integrated to a micro-stereo positioning instrument when relevant parameters are collected, the micro-stereo positioning instrument is used for guiding the optical probe to a position 1 mm above the small intestine, and two light sources of white light and laser are used for collection;
importing the small intestine microcirculation function data obtained by the determination in the step 1 into a data cleaning module, and processing the outlier small intestine microcirculation function data through a boxplot algorithm;
step 3, visualization of the microcirculation function of the small intestine:
step 3.1, three-dimensional visualization model construction
Importing the small intestine microcirculation function data cleaned in the step 2, carrying out dimensionless treatment on the microcirculation function data through a dispersion standardization method to eliminate dimension of multi-dimensional data, uniformly projecting the small intestine microcirculation function data in a [0, 1] interval, and generating a small intestine microcirculation function three-dimensional visualization module by using Python and ECharts, wherein time, a microcirculation function parameter variable and a microcirculation function parameter variable value are respectively defined as an X axis, a Y axis and a Z axis of the module;
step 3.2, function uniaxial bubble chart of small intestine microcirculation
Introducing the small intestine microcirculation function data cleaned in the step 2, generating a small intestine microcirculation function uniaxial bubble chart by using ECharts, and visualizing the distribution weight association of the small intestine microcirculation function data;
step 3.3, wavelet transform Spectrum analysis
Further analyzing and visually displaying the small intestine microcirculation blood flow signals by using wavelet transformation, importing the small intestine microcirculation blood flow dynamics parameters cleaned in the step 2, dividing the small intestine microcirculation blood flow dynamics parameters into n frequency band source signal amplitudes according to the microcirculation blood flow perfusion signal frequency, and generating a two-dimensional distribution map of small intestine microcirculation blood flow perfusion, blood flow velocity and erythrocyte density signals in a characteristic frequency band through each frequency band source signal amplitude; simultaneously drawing a three-dimensional time-frequency graph of the small intestine microcirculation blood flow perfusion signal through three dimensional indexes of time, frequency and microcirculation characteristic source amplitude; the distribution pattern of the amplitude related to the function of the small intestine microcirculation is shown by radar map.
Further, the micro-circulation oxygen partial pressure monitor in the step 1 comprises a micro-circulation oxygen partial pressure monitor Microx TX3 and Microx 4 Trace of Presens company of Germany; the dual-channel laser Doppler monitor is a dual-channel laser Doppler monitor VMS of the company Moor in UK or an Oxyflo Pro laser Doppler blood flow instrument of the company Oxford Optronix in UK.
Further, the specific method for clustering the functional data of the small intestine microcirculation in step 2 is as follows: definition of Q125% maximum, Q3Is 75% of maximum, Q3And Q1The difference between is the interquartile range (IQR) and is set to (Q)1-1.5 XIQR) and (Q)3+1.5 × IQR) is the microcirculation function parameter boundary value, and the microcirculation function data exceeding the boundary value is regarded as outlier and adjusted to the normal range boundary value.
Furthermore, in step 3.3, the micro-circulation blood flow perfusion signal frequency can be divided into 6 frequency range source signal amplitudes, which are respectively a heart source amplitude of 2-5 Hz, a respiration source amplitude of 0.4-2 Hz, a muscle source amplitude of 0.15-0.4 Hz, a nerve source amplitude of 0.04-0.15 Hz, a nitric oxide dependent endothelial cell source amplitude of 0.0095-0.04 Hz and a nitric oxide independent endothelial cell source amplitude of 0.005-0.0095 Hz.
Compared with the prior art, the invention has the beneficial effects that:
1. in the method for evaluating the function of the microcirculation of the small intestine, the function of the microcirculation of the small intestine comprises two dimensions of the microcirculation hemodynamics (perfusion and speed of the microcirculation blood flow) and the microcirculation oxygen (partial pressure of the microcirculation oxygen); in the prior art, related indexes of the method mainly comprise indirection (microvascular structure) and singularity (only including blood perfusion) through morphology and a living microcirculation research method, and compared with the method disclosed by the invention, the microcirculation function of the small intestine can be more comprehensively and completely evaluated;
2. in the method for evaluating the function of the microcirculation of the small intestine, abnormal value data from instrument firmware and optical components are automatically removed from the microcirculation function data, so that the scientificity of evaluating the function of the microcirculation of the small intestine is improved; in addition, the method is based on tools such as a universal microcirculation framework and the like, the small intestine microcirculation function data are visualized, deep analysis and excavation of the small intestine microcirculation function state are facilitated, and the prior art does not include visualization engineering.
Drawings
The invention is further illustrated by the following examples in conjunction with the accompanying drawings:
FIG. 1 is a prior art schematic;
FIG. 2 is a flow chart of the method for evaluating the microcirculation function of the small intestine according to the present invention;
FIG. 3 is a schematic diagram of the method for evaluating and visually presenting the function of the small intestine microcirculation;
FIG. 4 is a three-dimensional visualization view of the function of the microcirculation of the small intestine according to example 1; in the figure, (a) a three-dimensional visualization histogram of the small intestine microcirculation, (b) a three-dimensional visualization scatter diagram of the small intestine microcirculation; PO (PO)2: microcirculation tissue oxygen partial pressure, BP: microcirculation blood perfusion level, V: perfusion rate of microcirculation blood flow;
FIG. 5 is a graph of uniaxial bubbles generated using test data;
FIG. 6 is a diagram of the function of the microcirculation of the small intestine in uniaxial air bubbles in example 1; in the figure, PO2: microcirculationRing tissue oxygen partial pressure, BP: microcirculation blood perfusion level, V: perfusion rate of microcirculation blood flow;
FIG. 7 is a two-dimensional distribution diagram of the small intestine micro-vessel blood perfusion, blood flow velocity and red blood cell density signals in the characteristic frequency band in example 1; in the figure, the black curve is small intestine microvascular blood perfusion, the green curve is microcirculation blood flow velocity, and the red curve is red blood cell density signal. The microcirculation blood flow signal frequency spectrum distribution diagram represents frequency intervals of amplitude values and characteristic peaks of each frequency band;
FIG. 8 is a three-dimensional time-frequency diagram of the perfusion signal of the microcirculation of the small intestine in accordance with example 1; in the figure, the scale of blue (low) to orange (high) represents the continuous wavelet coefficients;
FIG. 9 is a radar chart of the amplitude associated with the function of the microcirculation of the small intestine according to example 1.
Detailed Description
Example 1
As shown in fig. 2 and 3, this example provides a method for evaluating the function of the small intestine microcirculation, which has the following characteristics compared with other tissues:
1) the small intestine is an important organ of the human body and is mainly responsible for digestion of food and absorption of nutrients. The small intestine microcirculation is an important place for exchanging substances in blood, and the dysfunction of the small intestine can affect the digestion, absorption, secretion and endocrine functions of the small intestine, so that the body metabolism is disordered;
2) belongs to abdominal cavity organs (organs in the abdominal cavity), and the microcirculation function data capture access and the light source path of the organ are different from superficial tissues (such as skin) and thoracic tissues (such as lung);
3) the small intestine has mechanical digestive movement, so the disturbance and disturbance source of the microcirculation function data are different from superficial tissues (such as skin), thoracic cavity tissues (such as lung) and other abdominal cavity organs or tissues (such as pancreas, kidney and the like).
The embodiment realizes the evaluation of the small intestine microcirculation function (microcirculation hemodynamics and microcirculation oxygen) by relying on a computer algorithm, realizes the visualization of the small intestine microcirculation function by relying on a general microcirculation framework, and comprises the following specific steps:
collecting small intestine microcirculation function data including small intestine microcirculation oxygen parameter and blood flow dynamics parameter by using small intestine microcirculation function evaluation device (S1); the device comprises a microcirculation oxygen partial pressure monitor Microx TX3 (German Presens company) and a dual-channel laser Doppler monitor VMS (British Moor company), integrates an optical probe of the equipment into a micrometer stereo positioning instrument, guides the optical probe to a position 1 mm above the small intestine by utilizing the micrometer stereo positioning instrument, and collects the microcirculation function data of the small intestine, including the oxygen partial Pressure (PO) of the microcirculation tissue of the small intestine2) Small intestine microcirculation blood perfusion level (BP) and blood perfusion rate (V). And respectively storing the data into a lossless data format for analysis.
and (3) importing the small intestine microcirculation function data captured in the step (1) into a data cleaning module, and processing the outlier small intestine microcirculation function parameters through a boxplot algorithm. The specific method comprises the following steps: definition of Q125% maximum, Q3Is 75% of maximum, Q3And Q1The difference between is the interquartile range (IQR) and is set to (Q)1-1.5 XIQR) and (Q)3+1.5 × IQR) is the microcirculation function parameter boundary value, and the microcirculation function data exceeding the boundary value is regarded as an outlier and adjusted to the normal range boundary value (S2).
Step 3, visualization of the microcirculation function of the small intestine
Step 3.1, constructing a three-dimensional visual model:
and (3) importing the small intestine microcirculation function data cleaned in the step (2), carrying out non-dimensionalization processing on the microcirculation function data by a dispersion standardization method to eliminate dimension of multi-dimensional data, uniformly projecting the microcirculation function data in a [0, 1] interval, and realizing visualization of small intestine microcirculation function under the same universal coordinate system frame (S3).
The specific method comprises the following steps: the non-dimensionalized small intestine microcirculation function data is imported, and a small intestine microcirculation function three-dimensional visualization module is generated by using Python and ECharts, wherein time, a microcirculation function parameter variable and a microcirculation function parameter variable value are respectively defined as a module X axis, a module Y axis and a module Z axis (S4). And (3) importing the small intestine microcirculation function data cleaned in the step (2) to generate a three-dimensional visualization view of the small intestine microcirculation function as shown in the figure 4.
Step 3.2, function uniaxial bubble chart of small intestine microcirculation
This example uses a uniaxial bubble map to visualize the association of weights for the distribution of functional parameters of the small intestine microcirculation (microcirculation oxygen and microcirculation blood perfusion). Distribution weights of the functional data of the small intestine microcirculation and their associations are shown as the area difference of the "air bubbles".
And (3) introducing the small intestine microcirculation function data subjected to cleaning treatment in the step (2), and generating a small intestine microcirculation function uniaxial bubble chart by using ECharts to realize small intestine microcirculation function parameter distribution and weight correlation analysis. As shown in fig. 5, in the uniaxial bubble chart generated by using part of the test data, the horizontal axis represents the value range of the distribution of the small intestine microcirculation function parameter data, the value range is divided into 6 sections, and the continuous sections are marked by using numbers, namely, the sections 0 to 1, 1 to 2, 2 to 3, 3 to 4, 4 to 5 and 5 to 6 respectively, and the distribution weight correlation of the small intestine microcirculation function data is reflected; the data distribution quantity of the microcirculation function is in direct proportion to the area of the 'air bubble': the larger the circular area, the more the microcirculation function data fall in the corresponding section of the circle. Therefore, in this embodiment, the distribution and weight correlation of the small intestine microcirculation function data in each value range can be visually shown in the uniaxial bubble chart (S5).
In the small intestine microcirculation blood flow perfusion speed (V) distribution weight correlation bubble chart shown in fig. 6, the circular area corresponding to the interval scale 0-20 PU is large, and the circular area corresponding to the interval scale 20-120 PU is small, which indicates that the data of the microcirculation blood flow perfusion speed are more intensively distributed on the interval scale 0-20 PU, and less data are distributed on the interval scale 20-120 PU, that is, the small intestine microcirculation blood flow perfusion speed is mainly at the level of 0-20 PU, and the microcirculation blood flow perfusion speed at the level of 0-20 PU is the dominant weight of the microcirculation function.
Step 3.3, wavelet transform spectrum analysis:
the embodiment uses wavelet transformation to further analyze and visually display the small intestine microcirculation blood flow signals. And (3) introducing the small intestine microcirculation blood flow perfusion data processed in the step (2), and dividing the small intestine microcirculation blood flow perfusion data into six frequency band source signal amplitudes (table 1) according to the microcirculation blood flow perfusion signal frequency, wherein the six frequency band source signal amplitudes comprise a heart source amplitude of 2-5 Hz, a respiratory source amplitude of 0.4-2 Hz, a muscle source amplitude of 0.15-0.4 Hz, a nerve source amplitude of 0.04-0.15 Hz, a nitric oxide dependent endothelial cell source amplitude of 0.0095-0.04 Hz and a nitric oxide independent endothelial cell source amplitude of 0.005-0.0095 Hz (S6).
Through the six frequency band source signal amplitudes, as shown in fig. 7, a two-dimensional distribution diagram of the small intestine micro-blood vessel blood perfusion, blood flow velocity and red blood cell density signals in the characteristic frequency band is generated.
As shown in fig. 8, a three-dimensional time-frequency diagram of the small intestine microcirculation blood perfusion signal is drawn through three-dimensional indexes of time (sec), frequency (Hz) and microcirculation feature source Amplitude (AU), and distribution features and change rules of 6 kinds of amplitude related to small intestine microcirculation function along with time progress are reflected.
As shown in fig. 9, six kinds of distribution patterns of the amplitude related to the function of the microcirculation of the small intestine are shown by radar maps. The 6 amplitudes of the small intestine microcirculation function related features comprise cardiac source amplitude, respiratory source amplitude, muscle source amplitude, nerve source amplitude, nitric oxide dependent endothelial cell source amplitude and nitric oxide independent endothelial cell source amplitude.
Finally, it should be noted that the above only illustrates the technical solution of the present invention, but not limited thereto, and although the present invention has been described in detail with reference to the preferred arrangement, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made thereto without departing from the spirit and scope of the technical solution of the present invention.
Claims (4)
1. A method for assessing the function of the microcirculation of the small intestine, which comprises the following steps:
step 1, measuring the microcirculation oxygen parameter and the microcirculation hemodynamics parameter of the small intestine:
collecting small intestine microcirculation function data including small intestine microcirculation oxygen parameter and blood flow dynamics parameter by using a small intestine microcirculation function evaluation device, and respectively storing the data into a lossless data format for analysis; the device for evaluating the microcirculation function of the small intestine comprises a microcirculation oxygen partial pressure monitor and a dual-channel laser Doppler monitor, wherein an optical probe of the device is integrated to a micro-stereo positioning instrument when relevant parameters are collected, the micro-stereo positioning instrument is used for guiding the optical probe to a position 1 mm above the small intestine, and two light sources of white light and laser are used for collection;
step 2, cleaning the microcirculation function data of the small intestine:
importing the small intestine microcirculation function data obtained by the determination in the step 1 into a data cleaning module, and processing the outlier small intestine microcirculation function data through a boxplot algorithm;
step 3, visualization of the microcirculation function of the small intestine:
step 3.1, three-dimensional visualization model construction
Importing the small intestine microcirculation function data cleaned in the step 2, carrying out dimensionless treatment on the microcirculation function data through a dispersion standardization method to eliminate dimension of multi-dimensional data, uniformly projecting the small intestine microcirculation function data in a [0, 1] interval, and generating a small intestine microcirculation function three-dimensional visualization module by using Python and ECharts, wherein time, a microcirculation function parameter variable and a microcirculation function parameter variable value are respectively defined as an X axis, a Y axis and a Z axis of the module;
step 3.2, function uniaxial bubble chart of small intestine microcirculation
Introducing the small intestine microcirculation function data cleaned in the step 2, generating a small intestine microcirculation function uniaxial bubble chart by using ECharts, and visualizing the distribution weight association of the small intestine microcirculation function data;
step 3.3, wavelet transform Spectrum analysis
Further analyzing and visually displaying the small intestine microcirculation blood flow signals by using wavelet transformation, importing the small intestine microcirculation blood flow dynamics parameters cleaned in the step 2, dividing the small intestine microcirculation blood flow dynamics parameters into n frequency band source signal amplitudes according to the microcirculation blood flow perfusion signal frequency, and generating a two-dimensional distribution map of small intestine microcirculation blood flow perfusion, blood flow velocity and erythrocyte density signals in a characteristic frequency band through each frequency band source signal amplitude; simultaneously drawing a three-dimensional time-frequency graph of the small intestine microcirculation blood flow perfusion signal through three dimensional indexes of time, frequency and microcirculation characteristic source amplitude; the distribution pattern of the amplitude related to the function of the small intestine microcirculation is shown by radar map.
2. The method for assessing the function of the microcirculation of the small intestine according to claim 1, wherein the monitor for the partial pressure of oxygen in the microcirculation in step 1 comprises the monitor for the partial pressure of oxygen in the microcirculation, Microx TX3 and Microx 4 Trace from Presens, Germany; the dual-channel laser Doppler monitor is a dual-channel laser Doppler monitor VMS of the company Moor in UK or an Oxyflo Pro laser Doppler blood flow instrument of the company Oxford Optronix in UK.
3. The method for assessing the microcirculation function of the small intestine according to claim 1, wherein the specific method for clustering the microcirculation function data of the small intestine in step 2 is as follows: definition of Q125% maximum, Q3Is 75% of maximum, Q3And Q1The difference between is the interquartile range (IQR) and is set to (Q)1-1.5 XIQR) and (Q)3+1.5 × IQR) is the microcirculation function parameter boundary value, and the microcirculation function data exceeding the boundary value is regarded as outlier and adjusted to the normal range boundary value.
4. The method for assessing the function of the microcirculation of the small intestine according to claim 1, wherein in step 3.3, the perfusion signal frequency is divided into 6 frequency range source signal amplitudes, which are 2 to 5 Hz cardiac source amplitude, 0.4 to 2 Hz respiratory source amplitude, 0.15 to 0.4 Hz muscle source amplitude, 0.04 to 0.15 Hz nerve source amplitude, 0.0095 to 0.04 Hz nitric oxide-dependent endothelial cell source amplitude and 0.005 to 0.0095 Hz nitric oxide-independent endothelial cell source amplitude, respectively.
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