A method, system and device for evaluating impaired lung function based on EIT

Abstract

The present application relates to the field of intelligent medical treatment, and specifically to a method, system and device for evaluating impaired lung function based on EIT. It includes S1 acquiring EIT data of a subject; S2 converting the EIT data into an EIT functional image; S3 calculating regional FEV1 and FVC of pixels of the EIT functional image to obtain calculated data; S4 reconstructing a reconstructed EIT image based on the calculated data and the EIT functional image; S5 calculating a global inhomogeneity index based on the reconstructed EIT image; S6 evaluating based on the global inhomogeneity index to obtain an evaluation result. This method can effectively identify whether a subject has impaired lung function based on the retention ratio, realize non-invasive and convenient detection, and has great clinical value.

Description

Technical Field

[0001] The present application relates to the field of intelligent medical treatment, and in particular to a method, system, device and computer-readable storage medium for evaluating impaired lung function based on EIT retention ratio. Background Art

[0002] Preserved Ratio Impaired Spirometry (PRISm) refers to non-obstructive pulmonary function abnormality with a normal ratio of forced expiratory volume in one second (FEV1) to forced vital capacity (FVC) but reduced FEV1. Previous studies have referred to it as Global Initiative for Chronic Obstructive Lung Disease-Unclassified (GOLD-unclassified) or nonspecific ventilatory function abnormality. There are some differences between the definition of PRISm and restrictive ventilatory dysfunction. Restrictive ventilatory dysfunction requires a decrease in total lung capacity and a normal rate of ventilating in one second. PRISm is mostly used when total lung capacity cannot be measured, such as in community pulmonary function testing or population-based studies. PRISm is widely present in the middle-aged and elderly population, with an estimated incidence of 4.7% to 25.2%. Although PRISm does not meet the criteria for pulmonary function diagnosis of COPD, it has a significantly increased risk of chronic respiratory symptoms, cardiovascular disease, diabetes and other concomitant diseases. At the same time, the study found that the risk of COPD, cardiovascular-related death, and all-cause death in the PRISm population were significantly increased compared to those with normal lung function. Therefore, it is believed that the PRISm population may be one of the early COPD populations. Understanding the epidemiology, clinical characteristics, high-risk factors, and prognosis of PRISm will help to increase attention to this population and early diagnosis, and will also help with early prevention and treatment of COPD. Currently, PRISm testing is based on traditional spirometry, but subjects with respiratory symptoms or decreased quality of life may have normal lung function values ​​in the early stages and are not diagnosed as PRISm, which will cause these subjects to be ignored and unable to receive early intervention treatment. . Summary of the invention

[0003] Electrical impedance tomography (EIT) is a non-invasive imaging method for evaluating spatial and temporal ventilation distribution. Based on the non-invasive, regional imaging and objective quantification characteristics of EIT, the present invention proposes a method for evaluating impaired lung function based on EIT. This method better matches symptoms and quality of life than traditional spirometry, specifically including:

[0004] S1 obtains the EIT data of the subject;

[0005] S2 converts the EIT data into an EIT functional image;

[0006] S3: calculating regional FEV1 and FVC for the pixels of the EIT functional image to obtain calculation data;

[0007] S4 reconstructs the EIT image based on the calculated data and the EIT functional image;

[0008] S5 calculating a global inhomogeneity index based on the reconstructed EIT image;

[0009] S6: performing evaluation based on the global non-uniformity index to obtain an evaluation result.

[0010] Further, the global inhomogeneity index is obtained by first calculating the median value of each pixel in the lung region in the reconstructed EIT image, then calculating the sum of the absolute difference between each pixel value in the lung region and the median value, and then performing normalization processing;

[0011] Optionally, the calculation formula of the global non-uniformity index is:

[0012]

[0013] in, Represents the image pixel value, and Median represents the median.

[0014] S5 is replaced by S51, a regional blocking ratio is calculated based on the reconstructed EIT image, and an evaluation is performed based on the regional blocking ratio to obtain an evaluation result;

[0015] Optionally, the regional obstruction ratio is obtained by calculating the ratio of the lung obstruction area to the lung area;

[0016] Optionally, the calculation formula of the regional blocking ratio is:

[0017] rOR=∑ n P n / ∑ l A l ×100%

[0018] Where rOR represents the regional blocking ratio, P n represents any lung obstruction pixel, A l Represents any lung region pixel;

[0019] Optionally, the lung obstruction area is obtained by comparing the value of each pixel in the EIT reconstructed image with a preset threshold;

[0020] Optionally, the lung obstruction area is calculated as follows:

[0021]

[0022] Among them, P n represents the lung obstruction area in the EIT reconstructed image, represents the pixel value in the EIT reconstructed image, and N is the preset threshold;

[0023] Optionally, the preset threshold is 0.7;

[0024] Optionally, the lung region is obtained by determining whether each pixel in the EIT reconstructed image is a lung region;

[0025] Optionally, the lung area is calculated as follows:

[0026]

[0027] Among them, A l Represents the lung region in the EIT reconstructed image;

[0028] Optionally, S5 is replaced by S52, the coefficient of variation of FEV1 / FVC is calculated based on the reconstructed EIT image, and an evaluation is performed based on the coefficient of variation to obtain an evaluation result;

[0029] Optionally, S5 is replaced by S53, the standard deviation of FEV1 / FVC is calculated based on the reconstructed EIT image, and an evaluation result is obtained by evaluation based on the standard deviation.

[0030] S5 is replaced by S54, a regional blocking ratio and a global inhomogeneity index are calculated based on the reconstructed EIT image, and an evaluation result is obtained by evaluating based on the regional blocking ratio and the global inhomogeneity index;

[0031] Optionally, S5 is replaced by S55, a regional blockage ratio and a coefficient of variation are calculated based on the reconstructed EIT image, and an evaluation result is obtained by performing an evaluation based on the regional blockage ratio and the coefficient of variation;

[0032] Optionally, S5 is replaced by S56, a regional blockage ratio and a standard deviation are calculated based on the reconstructed EIT image, and an evaluation result is obtained by performing an evaluation based on the regional blockage ratio and the standard deviation;

[0033] Optionally, S5 is replaced by S57, a regional blockage ratio, a coefficient of variation and a standard deviation are calculated based on the reconstructed EIT image, and an evaluation result is obtained by performing an evaluation based on the regional blockage ratio, the coefficient of variation and the standard deviation;

[0034] Optionally, S5 is replaced by S58, a regional blocking ratio, a global inhomogeneity index and a standard deviation are calculated based on the reconstructed EIT image, and an evaluation result is obtained by performing an evaluation based on the regional blocking ratio, the global inhomogeneity index and the standard deviation;

[0035] Optionally, S5 is replaced by S59, a regional blocking ratio, a global inhomogeneity index and a coefficient of variation are calculated based on the reconstructed EIT image, and an evaluation result is obtained by performing an evaluation based on the regional blocking ratio, the global inhomogeneity index and the coefficient of variation;

[0036] Optionally, S5 is replaced by S50, and a regional blockage ratio, a global inhomogeneity index, a standard deviation and a coefficient of variation are calculated based on the reconstructed EIT image, and an evaluation result is obtained by performing an evaluation based on the regional blockage ratio, the global inhomogeneity index, the standard deviation and the coefficient of variation.

[0037] The calculated data is obtained by calculating the ratio of FEV1 to FVC, and each pixel in the EIT functional image is reconstructed based on the ratio of FEV1 to FVC to obtain an EIT reconstructed image.

[0038] S6 is replaced by S61, and the quality of life of the subject is evaluated based on the global heterogeneity index to obtain a quality of life evaluation result;

[0039] Optionally, the quality of life assessment result includes: no impact on life, slight impact on life, moderate impact on life, severe impact on life, and extreme impact on life;

[0040] Optionally, S61 is replaced by S62, and the quality of life of the subject is evaluated based on the regional obstruction ratio to obtain a quality of life evaluation result;

[0041] Optionally, S61 is replaced by S63, and the quality of life of the subject is evaluated based on the coefficient of variation to obtain a quality of life evaluation result;

[0042] Optionally, S61 is replaced by S64, and the quality of life of the subject is evaluated based on the standard deviation to obtain a quality of life evaluation result.

[0043] Optionally, S61 is replaced by S65, and the quality of life of the subject is evaluated based on the global inhomogeneity index and the regional blockage ratio to obtain a quality of life evaluation result.

[0044] The object of the present invention is to provide a system for evaluating impaired lung function based on EIT, comprising:

[0045] Acquisition module: obtain the EIT data of the subject;

[0046] Conversion module: converting the EIT data into an EIT functional image;

[0047] Calculation module: performing regional FEV1 and FVC calculations on the pixels of the EIT functional image to obtain calculation data;

[0048] Reconstruction module: reconstructing the EIT image based on the calculation data and the EIT functional image;

[0049] Index module: calculating a global inhomogeneity index based on the reconstructed EIT image;

[0050] Evaluation module: performs evaluation based on the global inhomogeneity index to obtain an evaluation result.

[0051] The object of the present invention is to provide a computer program product, comprising a computer program / instructions, comprising:

[0052] When the computer program / instructions are executed by a processor, the above method for assessing impaired lung function based on EIT is implemented.

[0053] The object of the present invention is to provide a computer device, comprising a memory, a processor and a computer program stored in the memory, wherein the processor executes the computer program to implement the above-mentioned method for evaluating the retention ratio lung function impairment based on EIT.

[0054] The object of the present invention is to provide a computer-readable storage medium having a computer program / instruction stored thereon, wherein the computer program / instruction is executed by a processor to implement the above-mentioned method for evaluating the retention ratio-based lung function impairment.

[0055] Advantages of the present invention:

[0056] 1. The FEV1 and FVC of each pixel in the EIT functional image are calculated by calculating the FEV1 and FVC of the area. Then, the EIT functional image is calculated pixel by pixel based on FEV1 / FVC to obtain a reconstructed EIT image. The image contains the information of FEV1 / FVC, which can effectively and objectively represent the lung ventilation status of the subject to be tested and help identify the subjects with retained ratio lung function.

[0057] 2. Calculate the global inhomogeneity index GI based on the reconstructed EIT image. The GI can intuitively compare the difference in ventilation volume in the lung area between normal people and subjects, and can more sensitively detect ventilation abnormalities in the lung area;

[0058] 3. Based on the reconstructed EIT image, the regional obstruction ratio is proposed to identify and evaluate the subject. The regional obstruction ratio can intuitively and efficiently detect the lung status of the subject. Compared with the traditional spirometry method, the regional obstruction ratio is more sensitive in detecting physiological abnormalities;

[0059] 4. The present invention has excellent compensatory ability and can show excellent detection ability for early lung damage. Through higher spatial resolution, the subject can see the blockage or restriction of his or her own lung area. At the same time, the method of the present invention can objectively evaluate the quality and way of life of the subject, which is helpful for personalized treatment and rehabilitation strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0061] Figure 1 A schematic flow chart of a method for evaluating impaired lung function based on retention ratio based on EIT provided in an embodiment of the present invention;

[0062] Figure 2 A schematic diagram of a system for evaluating impaired lung function based on EIT for retention ratio provided by an embodiment of the present invention;

[0063] Figure 3 A schematic diagram of a device for evaluating impaired lung function based on EIT retention ratio provided by an embodiment of the present invention;

[0064] Figure 4 The correlation between the lung measurement parameters and SGRQ and the regional FEV1 / FVC ratio provided in the embodiment of the present invention are visualized in the functional EIT image, A is the correlation between FEV1 and SGRQ, B is the correlation between FVC and SGRQ, C is the correlation between FEV1 / FVC and SGRQ, D is the correlation between GI and SGRQ, E is the correlation between rOR and SGRQ, F is the correlation between rOR and FEV1 / FVC, G and H are the visualization images of the lungs of two different subjects;

[0065] Figure 5 The correlation between the combination of the global non-uniformity index and the regional blocking ratio and the SGRQ provided by the embodiment of the present invention. DETAILED DESCRIPTION

[0066] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0067] In some of the processes described in the specification and claims of the present invention and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or executed in parallel. The sequence numbers of the operations, such as S101, S102, etc., are only used to distinguish between different operations, and the sequence numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., do not represent the order of precedence, and do not limit the "first" and "second" to be different types.

[0068] Figure 1 A schematic diagram of a method for evaluating lung function impairment based on retention ratio based on EIT provided in an embodiment of the present invention specifically includes:

[0069] S1: Obtain the EIT data of the subjects;

[0070] In one embodiment, electrical impedance tomography (EIT) is a non-invasive technology that reconstructs tissue images in vivo with the resistivity distribution inside the human body as the target. The human body is a biological conductor, and each tissue and organ has a specific impedance characteristic. When a local organ or tissue of the human body is diseased, the impedance of the local area must be different from that of other parts. Therefore, the pathological changes of human organs can be diagnosed by measuring impedance.

[0071] Specifically, a known voltage is injected into a specific part of the human body to measure the current induced on the body surface, or a known current is injected to measure the voltage induced on the body surface. The impedance distribution of each tissue and organ inside the human body under the action of the electric field is calculated according to a certain reconstruction algorithm using the measured current and voltage values, and a tomographic image is generated using a computer. After positioning the surface electrodes around the body part of interest through adhesive electrodes, electrode belts or conductive electrode vests, an alternating current of usually several milliamperes and a frequency of 10-100kHz will be applied to two or more driving electrodes. The remaining electrodes will be used to measure the generated voltage. The process will then be repeated for the "stimulation pattern", such as consecutive adjacent electrode pairs, until the entire circle is completed, and the image reconstruction can be performed and displayed by a digital workstation that combines complex mathematical algorithms and prior data. Algorithms include linear back projection (LBP), singular value decomposition, Newton-Raphsom algorithm, Tikhonov iteration algorithm and neural network deep learning.

[0072] In a specific embodiment, from May 15, 2024 to June 30, 2024, a total of 170 subjects who presented with respiratory symptoms and visited our hospital were screened. 114 subjects with FEV1 / FVC>0.7 after reversibility testing were included. Among them, 88 subjects had normal spirometry and 26 subjects met the PRISm definition. EIT measurements were performed simultaneously during the FVC operation. In addition, the St. George's Respiratory Questionnaire (SGRQ) was assessed before the spirometry test.

[0073] S2: converting the EIT data into an EIT functional image;

[0074] In a specific embodiment, the EIT data is analyzed offline using customized software to obtain an EIT functional image, and then the regional FEV1 and FVC of each pixel in the lung region are calculated. Subsequently, the functional EIT image is constructed pixel by pixel by FEV1 / FVC to obtain a reconstructed EIT image.

[0075] Furthermore, we define the blocked pixel P n Then, a new parameter, regional obstruction ratio (rOR), is calculated based on the size of the obstruction area relative to the entire lung area, where A l is the lung area determination equation;

[0076]

[0077] rOR=∑ n P n / ∑ l A l ×100%.

[0078] In a specific embodiment, the GI of the functional FEV1 / FVC image is calculated (the GI is calculated for the reconstructed EIT image) using the following formula:

[0079]

[0080] S3: Calculating regional FEV1 and FVC for the pixels of the EIT functional image to obtain calculation data;

[0081] In one embodiment, the calculated data is obtained by calculating the ratio of FEV1 to FVC, and each pixel in the EIT functional image is reconstructed based on the ratio of FEV1 to FVC to obtain an EIT reconstructed image.

[0082] S4: Reconstructing the EIT functional image based on the calculated data to obtain a reconstructed EIT image;

[0083] S5: Calculating a global inhomogeneity index based on the reconstructed EIT image;

[0084] In one embodiment, the global inhomogeneity index is obtained by first calculating the median value of each pixel in the lung region in the reconstructed EIT image, then calculating the sum of the absolute difference between each pixel value in the lung region and the median value, and then performing normalization processing;

[0085] Optionally, the calculation formula of the global non-uniformity index is:

[0086]

[0087] in, Represents the image pixel value, and Median represents the median;

[0088] Among them, FEV1 represents the 1-second rate, which is the forced vital capacity test. FEV1 / FVC represents the ratio of the volume of air exhaled in the first second to the total exhaled volume. The information of each pixel is expressed as the ratio of the volume of air exhaled in the lung area of ​​the subject in 1 second to the total exhaled volume.

[0089] In one embodiment, S5 is replaced by S51, a regional blocking ratio is calculated based on the reconstructed EIT image, and an evaluation is performed based on the regional blocking ratio to obtain an evaluation result;

[0090] Optionally, the regional obstruction ratio is obtained by calculating the ratio of the lung obstruction area to the lung area;

[0091] Optionally, the calculation formula of the regional blocking ratio is:

[0092] rOR=∑ n P n / ∑ l A l ×100%

[0093] Where rOR represents the regional blocking ratio, P n represents any lung obstruction pixel, A l Represents any lung region pixel.

[0094] In one embodiment, the lung obstruction area is obtained by comparing the value of each pixel in the EIT reconstructed image with a preset threshold;

[0095] Optionally, the lung obstruction area is calculated as follows:

[0096]

[0097] Among them, P n represents the lung obstruction area in the EIT reconstructed image, represents the pixel value in the EIT reconstructed image, and N is a preset threshold. Optionally, the preset threshold is 0.7.

[0098] In one embodiment, the lung region is obtained by determining whether each pixel in the EIT reconstructed image is a lung region;

[0099] Optionally, the lung area is calculated as follows:

[0100]

[0101] Among them, A l Represents the lung region in the EIT reconstructed image.

[0102] In one embodiment, S5 is replaced by S52, the coefficient of variation of FEV1 / FVC is calculated based on the reconstructed EIT image, and an evaluation result is obtained by performing an evaluation based on the coefficient of variation.

[0103] In one embodiment, S5 is replaced by S53, the standard deviation of FEV1 / FVC is calculated based on the reconstructed EIT image, and an evaluation result is obtained by performing an evaluation based on the standard deviation.

[0104] In one embodiment, S5 is replaced by S54, a regional blocking ratio and a global inhomogeneity index are calculated based on the reconstructed EIT image, and an evaluation result is obtained by performing an evaluation based on the regional blocking ratio and the global inhomogeneity index;

[0105] In one embodiment, S5 is replaced by S55, a regional blocking ratio and a coefficient of variation are calculated based on the reconstructed EIT image, and an evaluation result is obtained by performing an evaluation based on the regional blocking ratio and the coefficient of variation;

[0106] In one embodiment, S5 is replaced by S56, a regional blocking ratio and a standard deviation are calculated based on the reconstructed EIT image, and an evaluation result is obtained by performing an evaluation based on the regional blocking ratio and the standard deviation;

[0107] In one embodiment, S5 is replaced by S57, a regional blocking ratio, a coefficient of variation and a standard deviation are calculated based on the reconstructed EIT image, and an evaluation result is obtained by performing an evaluation based on the regional blocking ratio, the coefficient of variation and the standard deviation;

[0108] In one embodiment, S5 is replaced by S58, a regional blocking ratio, a global inhomogeneity index and a standard deviation are calculated based on the reconstructed EIT image, and an evaluation result is obtained by performing an evaluation based on the regional blocking ratio, the global inhomogeneity index and the standard deviation;

[0109] In one embodiment, S5 is replaced by S59, a regional blocking ratio, a global inhomogeneity index and a coefficient of variation are calculated based on the reconstructed EIT image, and an evaluation result is obtained by performing an evaluation based on the regional blocking ratio, the global inhomogeneity index and the coefficient of variation;

[0110] In one embodiment, S5 is replaced by S50, and the regional blocking ratio, global inhomogeneity index, standard deviation and coefficient of variation are calculated based on the reconstructed EIT image, and an evaluation result is obtained by evaluation based on the regional blocking ratio, global inhomogeneity index, standard deviation and coefficient of variation.

[0111] In one embodiment, S5 is replaced by S511, a standard deviation and a coefficient of variation are calculated based on the reconstructed EIT image, and an evaluation result is obtained by performing an evaluation based on the standard deviation and the coefficient of variation.

[0112] In one embodiment, S5 is replaced by S512, a standard deviation and a global inhomogeneity index are calculated based on the reconstructed EIT image, and an evaluation result is obtained by performing an evaluation based on the standard deviation and the global inhomogeneity index.

[0113] In one embodiment, S5 is replaced by S513, a coefficient of variation and a global inhomogeneity index are calculated based on the reconstructed EIT image, and an evaluation result is obtained by performing an evaluation based on the coefficient of variation and the global inhomogeneity index.

[0114] S6: Performing an evaluation based on the global non-uniformity index to obtain an evaluation result.

[0115] In one embodiment, S6 is replaced by S61, and the quality of life of the subject is evaluated based on the global heterogeneity index to obtain a quality of life evaluation result;

[0116] In one embodiment, the quality of life assessment results include: no impact on life, slight impact on life, moderate impact on life, severe impact on life, and extreme impact on life;

[0117] In one embodiment, S61 is replaced by S62, and the quality of life of the subject is evaluated based on the regional obstruction ratio to obtain a quality of life evaluation result;

[0118] In one embodiment, S61 is replaced by S63, and the quality of life of the subject is evaluated based on the coefficient of variation to obtain a quality of life evaluation result;

[0119] In one embodiment, S61 is replaced by S64, and the quality of life of the subject is evaluated based on the standard deviation to obtain a quality of life evaluation result.

[0120] In one embodiment, S61 is replaced by S65, and the quality of life of the subject is evaluated based on the global inhomogeneity index and the regional blockage ratio to obtain a quality of life evaluation result.

[0121] In a specific embodiment, the demographic data of the subjects are as follows: age 55.8±14.5 years; height 166.1±8.7 cm; weight 67.2±12.2 kg. There were no significant differences in demographic characteristics, smoking history, frequency of bronchodilator use, or comorbidities (except hypertension) between individuals in the normal group and the PRISm group. Hypertension was more common in the PRISm group (28.6% vs. 51.5%, normal group vs. PRISm; p<0.001). FEV1 improved slightly after bronchodilation in both groups (Δ in %pred: normal 2.2±4.0, PRISm 4.0±5.9), but FVC did not improve. After the use of bronchodilators, FEV1 and FVC were significantly higher in the normal group (FEV1%pred.: 97.72±10.10 vs. 72.63±9.48; FVC%pred.: 98.54±11.39 vs. 75.01±11.13; p<0.001). The FEV1 / FVC ratio was higher in the normal group, but not statistically significant (0.82±0.06 vs. 0.79±0.07). The ratio of SGRQ score rOR in the lung was higher in the PRISm group (SGRQ: 20.6±10.5 vs. 25.7±15.3, p=0.02; rOR: 15.0±14.0 vs. 24.4±15.8, p<0.01), %pred means % predicted value.

[0122] In a specific embodiment, the correlation between the lung function parameters based on the spirometer and SGRQ, such as Figure 4 As shown in AE, the commonly used lung function parameters (FEV1, FVC, FEV1 / FVC) were not correlated with SGRQ, while the EIT-based parameters (GI, rOR) were correlated with SGRQ, such as Figure 4 As shown in D and E.

[0123] On the other hand, rOR was also associated with overall FEV1 / FVC, such as Figure 4 The regional FEV1 / FVC ratio is visualized in the functional EIT image as shown in F. Figure 4 In G and H, damaged lung areas are highlighted in yellow and red.

[0124] In a specific embodiment, the present invention combines the GI and rOR calculated in the reconstructed EIT image to determine the correlation between the combined parameter and SGRQ. Through experimental analysis, the correlation r of GI*rOR is 0.43, and the p value is <0.00001, which shows a higher correlation than that of a single GI or rOR, indicating that GI*rOR can effectively evaluate the quality of life of the subject.

[0125] In a specific embodiment, the invention provides the ability of EIT-based regional lung function parameters to assess the lung status of outpatients with respiratory symptoms (including pre-COPD and PRISm). EIT-based parameters are derived from FVC maneuvers and correlated with traditional spirometry parameters (e.g. Figure 4 In addition, compared with traditional spirometry, GI FEV1 / FVC and rOR are more sensitive in detecting physiological abnormalities. Due to the excellent compensatory capacity of the respiratory system of the present invention, global parameters measured by conventional spirometry are insensitive to manifestations of early functional impairment.

[0126] In many cases, study subjects presented to the hospital with a variety of respiratory symptoms, which were primarily captured by patient-reported outcome measures, such as the SGRQ. However, correlations between the SGRQ and spirometry parameters were negligible ( Figure 4 AC). However, due to the higher spatial resolution of the parameters of the present invention, EIT-based lung function is more sensitive in detecting lung function impairment. Through the functional images generated by EIT, both clinical users and patients can see regional impairments or restrictions, which can help personalize treatment or rehabilitation strategies.

[0127] Subjects with pre-COPD or PRISm are at risk for developing airflow obstruction over time. Correctly identifying subjects at risk early on may help prevent disease progression.

[0128] Figure 2 A schematic diagram of a system for evaluating lung function impairment based on EIT for retention ratio provided by an embodiment of the present invention specifically includes:

[0129] Acquisition module: obtain the EIT data of the subject;

[0130] Conversion module: converting the EIT data into an EIT functional image;

[0131] Calculation module: performing regional FEV1 and FVC calculations on the pixels of the EIT functional image to obtain calculation data;

[0132] Reconstruction module: reconstructing the EIT image based on the calculation data and the EIT functional image;

[0133] Index module: calculating a global inhomogeneity index based on the reconstructed EIT image;

[0134] Evaluation module: performs evaluation based on the global non-uniformity index to obtain an evaluation result.

[0135] Figure 3A schematic diagram of a device for evaluating impaired lung function based on EIT retention ratio provided by an embodiment of the present invention specifically includes:

[0136] A memory and a processor; the memory is used to store program instructions; the processor is used to call the program instructions, and when the program instructions are executed, any one of the above-mentioned methods for evaluating lung function impairment based on EIT retention ratio is performed.

[0137] A computer program product comprising a computer program / instructions comprising:

[0138] When the computer program / instructions are executed by a processor, the above method for assessing impaired lung function based on EIT is implemented.

[0139] A computer-readable storage medium storing a computer program, wherein the computer program is executed by a processor to perform any one of the above-mentioned methods for assessing lung function impairment based on EIT.

[0140] The verification results of this verification embodiment show that assigning inherent weights to indications can improve the performance of the method relative to the default setting. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms. The unit described as a separate component may or may not be physically separated, and the component displayed as a unit may or may not be a physical unit, that is, it may be located in one place, or it may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units. A person of ordinary skill in the art may understand that all or part of the steps in the various methods of the above-mentioned embodiments may be completed by instructing the relevant hardware through a program, and the program may be stored in a computer-readable storage medium, and the storage medium may include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc.

[0141] A person skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be implemented by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. The above-mentioned medium storage can be a read-only memory, a disk or an optical disk, etc.

[0142] The above is a detailed introduction to a computer device provided by the present invention. For a person skilled in the art, according to the concept of the embodiments of the present invention, there may be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A method for evaluating impaired lung function based on EIT, characterized in that: include: S1 obtains the EIT data of the subject; S2 converts the EIT data into an EIT functional image; S3: calculating regional FEV1 and FVC for the pixels of the EIT functional image to obtain calculation data; the calculation data is obtained by calculating the ratio of FEV1 to FVC; S4 reconstructs the EIT functional image based on the calculated data to obtain a reconstructed EIT image; reconstructs each pixel in the EIT functional image based on the ratio of FEV1 to FVC to obtain an EIT reconstructed image; S5 calculating a global inhomogeneity index and a regional blocking ratio based on the reconstructed EIT image; S6: performing an evaluation based on the global inhomogeneity index and the regional blocking ratio to obtain an evaluation result; The global inhomogeneity index is obtained by first calculating the median of the lung region pixels in the reconstructed EIT image, then calculating the sum of the absolute differences between the lung region pixel values ​​and the median, and then performing normalization processing; The calculation formula of the global inhomogeneity index is: in, Represents the image pixel value, and Median represents the median; The regional obstruction ratio is obtained by calculating the ratio of the lung obstruction area to the lung area; the lung obstruction area is obtained by comparing the value of each pixel in the EIT reconstructed image with a preset threshold; the lung obstruction area is calculated as follows: in, represents the lung obstruction area in the EIT reconstructed image, Represents the pixel value in the EIT reconstructed image, and N is the preset threshold.

2. The method for evaluating impaired lung function based on EIT according to claim 1, characterized in that: The calculation formula of the regional blocking ratio is: in, represents the regional blocking ratio, represents any lung obstruction pixel, Represents any lung region pixel.

3. The method for evaluating impaired lung function based on retention ratio based on EIT according to claim 1, characterized in that: The preset threshold is 0.

7.

4. The method for evaluating impaired lung function based on EIT according to claim 2, characterized in that: The lung region is obtained by determining whether each pixel in the EIT reconstructed image is a lung region.

5. The method for evaluating impaired lung function based on EIT according to claim 4, characterized in that: The lung area is calculated as: in, Represents the lung region in the EIT reconstructed image.

6. The method for evaluating impaired lung function based on retention ratio based on EIT according to claim 1, characterized in that: S5 is replaced by S51, and the regional blockage ratio is calculated based on the reconstructed EIT image. S6 is replaced by: performing evaluation based on the regional blockage ratio to obtain an evaluation result.

7. The method for evaluating impaired lung function based on retention ratio based on EIT according to claim 1, characterized in that: S5 is replaced by S54, and a global inhomogeneity index is calculated based on the reconstructed EIT image. S6 is replaced by: performing an evaluation based on the global inhomogeneity index to obtain an evaluation result.

8. The method for evaluating impaired lung function based on retention ratio based on EIT according to claim 1, characterized in that: S5 is replaced by S55, and the regional blockage ratio and the coefficient of variation of FEV1 / FVC are calculated based on the reconstructed EIT image. S6 is replaced by: an evaluation is performed based on the regional blockage ratio and the coefficient of variation of FEV1 / FVC to obtain an evaluation result.

9. The method for evaluating impaired lung function based on retention ratio based on EIT according to claim 1, characterized in that: S5 is replaced by S56, and the standard deviation of the regional blockage ratio and FEV1 / FVC is calculated based on the reconstructed EIT image. S6 is replaced by: an evaluation result is obtained by evaluating based on the standard deviation of the regional blockage ratio and FEV1 / FVC.

10. The method for evaluating impaired lung function based on retention ratio based on EIT according to claim 1, characterized in that: S5 is replaced by S57, and the regional blockage ratio, the coefficient of variation of FEV1 / FVC and the standard deviation of FEV1 / FVC are calculated based on the reconstructed EIT image; S6 is replaced by: an evaluation result is obtained by evaluating based on the regional blockage ratio, the coefficient of variation of FEV1 / FVC and the standard deviation of FEV1 / FVC.

11. The method for evaluating impaired lung function based on retention ratio based on EIT according to claim 1, characterized in that: S5 is replaced by S58, and the regional blockage ratio, global inhomogeneity index and standard deviation of FEV1 / FVC are calculated based on the reconstructed EIT image. S6 is replaced by: an evaluation result is obtained by evaluating based on the regional blockage ratio, global inhomogeneity index and standard deviation of FEV1 / FVC.

12. The method for evaluating impaired lung function based on retention ratio based on EIT according to claim 1, characterized in that: S5 is replaced by S59, and the regional blockage ratio, global inhomogeneity index and coefficient of variation of FEV1 / FVC are calculated based on the reconstructed EIT image. S6 is replaced by: an evaluation is performed based on the regional blockage ratio, global inhomogeneity index and coefficient of variation of FEV1 / FVC to obtain an evaluation result.

13. The method for evaluating impaired lung function based on retention ratio based on EIT according to claim 1, characterized in that: S5 is replaced by S50, and the regional blockage ratio, global inhomogeneity index, standard deviation of FEV1 / FVC and coefficient of variation of FEV1 / FVC are calculated based on the reconstructed EIT image; S6 is replaced by: an evaluation is performed based on the regional blockage ratio, global inhomogeneity index, standard deviation of FEV1 / FVC and coefficient of variation of FEV1 / FVC to obtain an evaluation result.

14. The method for evaluating impaired lung function based on retention ratio based on EIT according to claim 1, characterized in that: include: S6 is replaced by S61, and the quality of life of the subject is evaluated based on the global inhomogeneity index and the regional blockage ratio to obtain a quality of life evaluation result.

15. The method for evaluating impaired lung function based on retention ratio based on EIT according to claim 14, characterized in that: The quality of life assessment results include: no impact on life, slight impact on life, moderate impact on life, severe impact on life, and extreme impact on life.

16. The method for evaluating impaired lung function based on retention ratio based on EIT according to claim 6, characterized in that: S6 was replaced by S62, and the quality of life of the subjects was evaluated based on the regional blockage ratio to obtain the quality of life assessment results.

17. The method for evaluating impaired lung function based on retention ratio based on EIT according to claim 7, characterized in that: S6 was replaced by S65, and the quality of life of the subjects was evaluated based on the global heterogeneity index to obtain the quality of life assessment results.

18. A system for evaluating impaired lung function based on EIT, characterized in that: include: Acquisition module: obtain the EIT data of the subject; Conversion module: converting the EIT data into an EIT functional image; Calculation module: performing regional FEV1 and FVC calculations on the pixels of the EIT functional image to obtain calculation data; the calculation data is obtained by calculating the ratio of FEV1 to FVC; Reconstruction module: reconstructing the EIT functional image based on the calculated data to obtain a reconstructed EIT image; reconstructing each pixel in the EIT functional image based on the ratio of FEV1 to FVC to obtain an EIT reconstructed image; Index module: A global inhomogeneity index and a regional blocking ratio are calculated based on the reconstructed EIT image; the global inhomogeneity index is obtained by first calculating the median of the lung area pixels in the reconstructed EIT image, then calculating the sum of the absolute differences between the lung area pixel values ​​and the median, and then performing normalization processing; the calculation formula of the global inhomogeneity index is: in, Represents the image pixel value, and Median represents the median; The regional obstruction ratio is obtained by calculating the ratio of the lung obstruction area to the lung area; the lung obstruction area is obtained by comparing the value of each pixel in the EIT reconstructed image with a preset threshold; the lung obstruction area is calculated as follows: in, represents the lung obstruction area in the EIT reconstructed image, represents the pixel value in the EIT reconstructed image, and N is the preset threshold; Evaluation module: performs evaluation based on the global inhomogeneity index and the regional blocking ratio to obtain an evaluation result.

19. A computer program product comprising a computer program / instructions, characterized in that include: When the computer program / instructions are executed by a processor, the method for assessing impaired pulmonary function based on retention ratio based on EIT according to any one of claims 1 to 17 is implemented.

20. A computer device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the method for assessing impaired lung function based on retention ratio based on EIT according to any one of claims 1 to 17.

21. A computer-readable storage medium having a computer program / instruction stored thereon, characterized in that: The computer program / instructions are executed by a processor to implement the method for assessing impaired retention ratio lung function based on EIT as described in any one of claims 1 to 17.

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