CN111543972B - Database establishment method for laser speckle blood perfusion imaging system - Google Patents
Database establishment method for laser speckle blood perfusion imaging system Download PDFInfo
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- CN111543972B CN111543972B CN202010380329.0A CN202010380329A CN111543972B CN 111543972 B CN111543972 B CN 111543972B CN 202010380329 A CN202010380329 A CN 202010380329A CN 111543972 B CN111543972 B CN 111543972B
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- 238000003384 imaging method Methods 0.000 title claims abstract description 20
- 238000000034 method Methods 0.000 title claims abstract description 14
- 230000008081 blood perfusion Effects 0.000 title claims abstract description 10
- 230000004089 microcirculation Effects 0.000 claims abstract description 48
- 230000035939 shock Effects 0.000 claims abstract description 41
- 238000005259 measurement Methods 0.000 claims abstract description 5
- 238000007405 data analysis Methods 0.000 claims abstract description 4
- 230000017531 blood circulation Effects 0.000 claims description 10
- 230000036772 blood pressure Effects 0.000 claims description 7
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 229940079593 drug Drugs 0.000 claims description 3
- 239000003814 drug Substances 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 description 4
- 238000004393 prognosis Methods 0.000 description 2
- 206010020772 Hypertension Diseases 0.000 description 1
- 208000001953 Hypotension Diseases 0.000 description 1
- 208000008589 Obesity Diseases 0.000 description 1
- 206010033307 Overweight Diseases 0.000 description 1
- 208000037273 Pathologic Processes Diseases 0.000 description 1
- 208000001871 Tachycardia Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000036471 bradycardia Effects 0.000 description 1
- 208000006218 bradycardia Diseases 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000002635 electroconvulsive therapy Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000036543 hypotension Effects 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 235000020824 obesity Nutrition 0.000 description 1
- 230000009054 pathological process Effects 0.000 description 1
- 230000001991 pathophysiological effect Effects 0.000 description 1
- 230000010412 perfusion Effects 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
- 230000009257 reactivity Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 230000009885 systemic effect Effects 0.000 description 1
- 230000006794 tachycardia Effects 0.000 description 1
- 230000002792 vascular Effects 0.000 description 1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/026—Measuring blood flow
- A61B5/0261—Measuring blood flow using optical means, e.g. infrared light
Abstract
The invention relates to a database establishing method for a laser speckle blood perfusion imaging system, which quantifies the microcirculation condition of a measured object by using a laser speckle blood perfusion imaging device and establishes a database. Establishing a database for the measurement data, wherein the establishing method of the database comprises the steps of acquiring basic information; contrast chart acquisition; carrying out data analysis on the contrast map; establishing a normal microcirculation database and a shock microcirculation database; a shock assessment database is established. The database is reasonable in classification, large in information amount and convenient to call, achieves standardized storage of data, and can achieve shock assessment through database calling.
Description
Technical Field
The invention relates to a database establishing technology, in particular to a database establishing method for a laser speckle blood perfusion imaging system.
Background
Shock is a systemic pathological process mainly involving tissue-organ microcirculation disturbance, which is critical to shock physiopathology and closely related to patient prognosis. With the progress of the pathophysiological studies on shock, it was found that microcirculatory disturbance appears to occur earlier than shock. Therefore, the understanding of shock microcirculation and vascular reactivity changes is of great significance to shock treatment guidance and prognosis evaluation. The laser speckle blood flow imaging technology is a non-contact, non-invasive, high space-time resolution and large-area blood flow velocity detection technology, can quantify the microcirculation condition of a measured object, and can more accurately monitor the microcirculation.
However, when the laser speckle blood flow imaging technology is used for detecting microcirculation and the laser speckle blood flow imaging device is used for measuring, the data is not stored in a standardized standard, so that the difficulty of data comparison is increased, and the efficiency of data searching is also reduced. In addition, shock is all sudden, and microcirculation data of a shock patient before shock cannot be obtained, so that whether the microcirculation condition of the patient is recovered to the normal state of the patient cannot be judged by a self-control mode. Since various factors such as age and sex also affect microcirculation, it is impossible to set a standard value to judge the recovery of the microcirculation condition of a patient.
Disclosure of Invention
The invention provides a database establishing method for a laser speckle blood perfusion imaging system, which aims at the problem of irregular preservation of microcirculation data. The database collects the finger tip microcirculation data of non-shocking patients and shocking patients, and is characterized by reasonable classification, large information amount and convenient calling, thereby laying a good foundation for further shock assessment.
The technical scheme of the invention is as follows: a database establishment method for a laser speckle blood perfusion imaging system specifically comprises the following steps:
1) Basic information acquisition: collecting the name, sex, age and medical history of the tested object for healthy people; collecting the hospitalization number, name, sex, age, medication condition and measurement date of the tested object for the shock patient;
2) Contrast chart acquisition: the laser speckle blood flow imaging device is used for shooting the left hand back and the right hand back of a measured object, and the specific steps of shooting and obtaining a contrast map are as follows:
2.1 Adjusting the distance between the shooting device and the detected hand back to enable the camera to shoot the whole hand back;
2.2 Setting the exposure time of the camera to be 100ms, measuring the time to be 50s, and obtaining a contrast chart every 5 s; 2.3 Adjusting the focal length of the camera to make the image clear, and adjusting the aperture until the gray value difference between the back area and the background area is less than 10;
2.4 And collecting contrast maps to finally obtain 10 contrast maps.
3) And (3) carrying out data analysis on the contrast map: for a contrast map, selecting the finger tips of index finger, middle finger and ring finger in the map, and respectively calculating the average contrast ratio in the selected regionsAverage lining ratioConversion to average relative velocity value Is converted intoThe formula of (1) is:
wherein i =1,2,3, respectively representing a fingertip area, a middle fingertip area, and a ring fingertip area; t is the exposure time of the camera, τ c The self-correlation attenuation time of the speckle pattern is lambda, and the lambda is the laser output laser wavelength of a laser in the laser speckle blood flow imaging device;
4) Establishing a normal microcirculation database: inputting the basic information of the healthy person and the corresponding fingertip microcirculation data of the healthy person obtained in the step 3) into a normal microcirculation database, and classifying the data during the inputting, wherein the classification bases are age, gender, blood pressure, heart rate, body quality index, left hand, right hand and different fingers;
5) Establishing a shock microcirculation database: inputting basic information of the shock patient and corresponding shock patient microcirculation data obtained in the step 3) into a shock microcirculation database, wherein the classification method of the data is the same as that in the step 4);
6) Establishing a shock assessment database: merging the normal microcirculation database and the shock microcirculation database to construct a shock assessment database, setting the minimum value of data in each group in the normal microcirculation database as a threshold value a, and setting the maximum value of data in each group in the shock microcirculation database as a threshold value b; when the average relative velocity valueThen, the database prompts "microcirculation is normal"; when the temperature is higher than the set temperatureIn time, the database suggests "poor microcirculation, shock risk"; when in useBy time, the database suggests that "microcirculation is very poor, has shocked".
The invention has the beneficial effects that: the database establishing method for the laser speckle blood perfusion imaging system is reasonable in classification, large in information amount and convenient to call, achieves standardized storage of data, and can achieve shock assessment through database calling.
Drawings
FIG. 1 is a flow chart of database establishment for a laser speckle perfusion imaging system according to the present invention;
FIG. 2 is a diagram of a database classification architecture according to the present invention.
Detailed Description
Fig. 1 shows a flow chart for establishing a database of a laser speckle blood perfusion imaging system, which specifically includes the following steps:
1. basic information acquisition: for healthy people, the name, sex, age and medical history of the tested object are collected. The hospitalization number, name, sex, age, medication condition and measurement date of the subject are collected for the shock patient.
2. Contrast chart acquisition: the method comprises the following steps of shooting the left and right backs of a measured object by using a laser speckle blood flow imaging device (comprising a laser, a beam expander, a CCD camera and a PC end), and shooting to obtain a contrast chart:
2.1, adjusting the distance between the shooting device and the detected back of the hand to enable the camera to shoot the whole back of the hand;
2.2, setting the exposure time of the camera to be 100ms and the measurement time to be 50s. Obtaining a contrast map every 5 s;
2.3, adjusting the focal length of the camera to enable the image to be clear, and adjusting the aperture until the gray value difference between the back area and the background area is less than 10;
and 2.4, collecting contrast maps, and finally obtaining 10 contrast maps.
3. And (3) carrying out data analysis on the contrast map: for a contrast map, selecting the finger tips of index finger, middle finger and ring finger in the map, and respectively calculating the average contrast ratio in the selected regionsAverage lining ratioConversion to average relative velocity value Is converted intoThe formula of (1) is:
where T is the exposure time of the camera, τ c And lambda is the laser output laser wavelength of the laser in the laser speckle blood flow imaging device.
4. Establishing a normal microcirculation database: and (4) inputting the basic information of the healthy person and the corresponding fingertip microcirculation data of the healthy person obtained in the step (3) into a normal microcirculation database, and classifying the data during the inputting according to the age, the sex, the blood pressure, the heart rate, the Body Mass Index (BMI), the left hand, the right hand and different fingers. The sex-based male and female types are divided into male and female types, the age-based male and female types are divided into teenagers (0-17 years old), young adults (18-40 years old), middle-aged adults (41-65 years old) and old people (65 years old or older), the blood pressure type is divided into hypotension (blood pressure is lower than 90/60 mmHg), normal blood pressure and hypertension (blood pressure is higher than 140/90 mmHg), the heart rate type is divided into tachycardia (heart rate is higher than 100 bpm), normal heart rate and bradycardia (heart rate is lower than 60 bpm), the BMI index type is divided into normal weight (18.5-23.9), overweight (24-27.9) and obesity (28 or higher), different hands are divided into left hand and right hand, and different fingers are divided into index finger, middle finger and ring finger. When the data are recorded, the measured data are recorded into the corresponding group by the classification method. The database classification architecture is shown in fig. 2.
5. Establishing a shock microcirculation database: and (4) inputting basic information of the shock patient and the corresponding shock patient microcirculation data obtained in the step 3 into a shock microcirculation database, wherein the data classification method is the same as that in the step 4.
6. Establishing a shock assessment database: the normal microcirculation database and the shock microcirculation database are combined to construct a shock assessment database. The minimum value of the data in each group in the normal microcirculation database is set as a threshold value a, and the maximum value of the data in each group in the shock microcirculation database is set as a threshold value b. When the average relative velocity valueThe database then prompts "microcirculation is normal". When in useThe database then suggests that "microcirculation is poor, there is a risk of shock". When in useBy time, the database suggests that "microcirculation is very poor, has shocked".
Claims (1)
1. A database establishment method for a laser speckle blood perfusion imaging system is characterized by comprising the following steps:
1) Basic information acquisition: collecting the name, sex, age and medical history of the tested object for the healthy people; collecting the hospitalization number, name, sex, age, medication condition and measurement date of the tested object for the shock patient;
2) Contrast chart acquisition: the laser speckle blood flow imaging device is used for shooting the left hand back and the right hand back of a measured object, and the specific steps of shooting and obtaining a contrast map are as follows:
2.1 Adjusting the distance between the shooting device and the detected back of the hand to enable the camera to shoot the whole back of the hand;
2.2 Setting the exposure time of the camera to be 100ms, measuring the time to be 50s, and obtaining a contrast chart every 5 s;
2.3 Adjusting the focal length of the camera to make the image clear, and adjusting the aperture until the gray value difference between the back area and the background area is less than 10;
2.4 Collecting contrast maps to finally obtain 10 contrast maps;
3) Data analysis was performed on the contrast map: for a contrast map, selecting the regions of the fingertips of the index finger, the middle finger and the ring finger in the map respectively, and solving the average contrast ratio in the selected regions respectivelyAverage lining ratioConversion to average relative velocity valueIs converted intoThe formula of (1) is as follows:
wherein i =1,2,3, respectively representing a fingertip region and a middle fingertip regionDomain, anonymous fingertip area; t is the exposure time of the camera, τ c The self-correlation attenuation time of the speckle pattern is lambda, and the lambda is the laser output laser wavelength of a laser in the laser speckle blood flow imaging device;
4) Establishing a normal microcirculation database: inputting the basic information of the healthy person and the corresponding fingertip microcirculation data of the healthy person obtained in the step 3) into a normal microcirculation database, and classifying the data during the inputting, wherein the classification bases are age, gender, blood pressure, heart rate, body quality index, left hand, right hand and different fingers;
5) Establishing a shock microcirculation database: inputting basic information of the shock patient and corresponding shock patient microcirculation data obtained in the step 3) into a shock microcirculation database, wherein the classification method of the data is the same as that in the step 4);
6) Establishing a shock assessment database: the normal microcirculation database and the shock microcirculation database are combined to construct a shock assessment database.
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
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CN103300841A (en) * | 2013-06-13 | 2013-09-18 | 上海理工大学 | Fast laser speckle blood imaging system and method |
CN108478192A (en) * | 2018-04-11 | 2018-09-04 | 西安交通大学 | A kind of measuring system for estimating skin histology capilary depth |
CN110301908A (en) * | 2019-05-20 | 2019-10-08 | 南京航空航天大学 | A kind of blood flow velocity monitoring method for contrasting algorithm based on micro- blood flow imaging |
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CN103300841A (en) * | 2013-06-13 | 2013-09-18 | 上海理工大学 | Fast laser speckle blood imaging system and method |
CN108478192A (en) * | 2018-04-11 | 2018-09-04 | 西安交通大学 | A kind of measuring system for estimating skin histology capilary depth |
CN110301908A (en) * | 2019-05-20 | 2019-10-08 | 南京航空航天大学 | A kind of blood flow velocity monitoring method for contrasting algorithm based on micro- blood flow imaging |
Non-Patent Citations (1)
Title |
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激光散斑血流成像技术研究新进展;孔平等;《光学技术》;20140115;第40卷(第1期);全文 * |
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