Neck radiation protection evaluation system for medical radiation environment

Abstract

The invention relates to the technical field of radiation protection evaluation, and provides a neck radiation protection evaluation system for a medical radiation environment, which comprises a protection performance detection module, a protection parameter extraction module, a protection parameter analysis module and a protection evaluation module, the protection performance detection module is used for detecting the lead scarf; the protection parameter extraction module is used for extracting related parameters of shielding effectiveness, attenuation characteristics, physical performance and structural performance; the protection parameter analysis module comprises a shielding effectiveness evaluation unit, an attenuation characteristic evaluation unit, a physical performance evaluation unit and a structural performance evaluation unit which are respectively used for analyzing the shielding effectiveness, the attenuation characteristic, the physical performance and the structural performance of the lead scarf; and the protection evaluation module constructs a neck protection evaluation model according to each evaluation value output by the protection parameter analysis module, and obtains a final neck protection evaluation value in combination with a linear regression model.

Description

Technical Field

[0001] The present invention relates to the technical field of radiation protection assessment, and more specifically, the present invention relates to a neck radiation protection assessment system for a medical radiation environment. Background Art

[0002] In a medical radiation environment, technologies such as X-rays, CT scans, and radiotherapy are widely used in clinical diagnosis and treatment processes. However, while these technologies bring great medical value, they are also accompanied by the risk of radiation exposure. Among them, the neck is a relatively vulnerable and exposed part of the human body, and radiation protection is particularly important. The neck contains multiple important organs and structures, such as the thyroid gland, larynx, carotid artery, and trachea, etc.; the thyroid gland is extremely sensitive to radiation, and even a low dose of radiation may cause thyroid diseases, including hypothyroidism, thyroid nodules, and thyroid cancer; especially for young people and children, the thyroid gland is more sensitive to radiation, so more rigorous protection is required. In addition, medical staff who are exposed to a radiation environment for a long time, such as radiologists and radiographers, if they lack effective protection measures, the low-dose radiation accumulated over a long time may lead to chronic health problems and increase the risk of cancer.

[0003] In such a background, the lead neck collar is particularly important as an effective protective device. The lead neck collar can shield the radiation in the neck area to a certain extent and reduce the impact of radiation on the thyroid gland and other important organs. However, in the prior art, there are many defects in the protection assessment of the lead neck collar. Most traditional assessment methods rely on single parameters or simple experimental means, which cannot comprehensively and systematically reflect the actual protection effect of the protective equipment, and at the same time lack a comprehensive analysis of the protection effect, resulting in inaccurate and incomplete assessment results.

[0004] To solve the above problems, a technical solution is provided now. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, the present invention provides a neck radiation protection assessment system for a medical radiation environment, which is provided with a protection performance detection module, a protection parameter extraction module, a protection parameter analysis module, and a protection assessment module. By constructing an assessment model, performing parameter analysis, and combining a linear regression model to evaluate the protection effect of the lead neck collar, the problems of single assessment method and incomplete analysis in the prior art are solved.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A neck radiation protection evaluation system for a medical radiation environment, comprising a protection performance detection module, a protection parameter extraction module, a protection parameter analysis module and a protection evaluation module. The protection performance detection module is connected to the protection parameter acquisition module, the protection parameter acquisition module is connected to the protection parameter analysis module, and the protection parameter analysis module is connected to the protection evaluation module. Among them, the protection parameter analysis module includes a shielding effectiveness evaluation unit, an attenuation characteristic evaluation unit, a physical property evaluation unit and a structural property evaluation unit, which are used to analyze the shielding effectiveness, attenuation characteristics, physical properties and structural properties of the lead neck gaiter according to the parameters obtained by the protection performance detection module and the protection parameter extraction module, and obtain the corresponding evaluation values of the lead neck gaiter.

[0008] The protection evaluation module constructs a neck protection evaluation model according to the shielding effectiveness evaluation value, attenuation characteristic evaluation value, physical property evaluation value and structural property evaluation value output by the protection parameter analysis module, and evaluates the radiation protection effect of the lead neck gaiter on the neck. Among them, the formula of the neck protection evaluation model is:

[0009]

[0010] In the formula, CEI is the neck protection evaluation value, SUI is the shielding effectiveness uniformity evaluation value, ECI is the attenuation characteristic evaluation value, PPI is the physical property evaluation value, SPI is the structural property evaluation value, and k is the adjustment coefficient.

[0011] As a further solution of the present invention, the protection performance detection module uses an X-ray source and a detector array to scan the surface of the lead neck gaiter point by point, measures the radiation shielding effectiveness of each point, generates a shielding effectiveness distribution map, and transmits it to the protection parameter extraction module. The protection parameter extraction module obtains the average gray value, the standard deviation of the gray value, the maximum gray value and the minimum gray value of the shielding effectiveness distribution map through image processing technology, and transmits the above data to the shielding effectiveness evaluation unit. The shielding effectiveness evaluation unit uses the constructed shielding effectiveness uniformity evaluation model to evaluate the uniformity of the shielding effectiveness of the lead neck gaiter. Among them, the formula of the shielding effectiveness uniformity evaluation model is:

[0012]

[0013] In the formula, SUI is the shielding effectiveness uniformity evaluation value, u avg is the average gray value of the shielding effectiveness distribution map, σ is the standard deviation of the gray value, μ max is the maximum gray value, μ min is the minimum gray value.

[0014] As a further solution of the present invention, the protection performance detection module emits X-rays at different energy levels through an X-ray source with adjustable energy. The scintillation detector array receives the radiation signal after passing through the lead neck gaiter and converts it into an electrical signal, which is transmitted to the protection parameter extraction module; the protection parameter extraction module obtains the intensity of the X-rays after penetration at each detection point at each energy level through signal processing technology and transmits it to the attenuation characteristic evaluation unit; the attenuation characteristic evaluation unit evaluates the attenuation characteristic of the lead neck gaiter by using the constructed attenuation characteristic evaluation model. The formula of the attenuation characteristic evaluation model is:

[0015]

[0016] In the formula, ECI is the attenuation characteristic evaluation value, N is the total number of X-rays at different energy levels emitted by the X-ray source, I i,j is the intensity of the X-rays after penetration at the i-th detection point at the j-th energy level, I 0,j is the initial X-ray intensity at the j-th energy level, x i is the abscissa of the i-th detection point, y i is the ordinate of the i-th detection point, T i is the average thickness of the lead neck gaiter, d i is the distance from the i-th detection point to the X-ray source.

[0017] As a further solution of the present invention, the protection performance detection module performs internal fluoroscopy on the lead neck gaiter through an X-ray imaging device to obtain a fluoroscopy image of the lead neck gaiter; takes a surface image of the lead neck gaiter through a camera; transmits the above images to the protection parameter extraction module; the protection parameter extraction module identifies the crease and damage areas on the surface of the lead neck gaiter and the entanglement and fracture areas inside the lead neck gaiter through image processing technology, obtains the entanglement length and number, the total area of the fracture area, the total area of the damage area, and the crease length and number, and transmits the above data to the physical property evaluation unit; the physical property evaluation unit evaluates the physical properties of the lead neck gaiter by using the constructed physical property evaluation model. The formula of the physical property evaluation model is:

[0018]

[0019] In the formula, PPI is the physical property evaluation value, L c is the entanglement length, N c is the number of entanglements, A b is the total area of the fracture area, A d is the total area of the damage area, L f is the crease length, N f is the number of creases.

[0020] As a further solution of the present invention, the protection performance detection module measures at multiple points of the lead neck gaiter through an ultrasonic thickness gauge to obtain the thickness values of each measurement point, and transmits them to the protection parameter extraction module; the protection parameter extraction module performs feature analysis on the thickness values of each measurement point to obtain the thickness gradient, thickness fluctuation frequency, local thickness variation coefficient, and overall thickness variation coefficient of the lead neck gaiter; the structural performance evaluation unit receives the parameters provided by the protection parameter extraction module and evaluates the structural performance of the lead neck gaiter by using the constructed structural performance evaluation model. Among them, the formula of the structural performance evaluation model is:

[0021]

[0022] In the formula, SPI is the structural performance evaluation value, G T is the thickness gradient, F T is the thickness fluctuation frequency, LTV m is the local thickness variation coefficient of the m-th measurement point, u is the total number of detection points, and GTV is the overall thickness variation coefficient.

[0023] As a further solution of the present invention, the protection evaluation module is used to input the standardized shielding effectiveness evaluation value, attenuation characteristic evaluation value, physical performance evaluation value, and structural performance evaluation value, as well as the neck protection evaluation value obtained from the neck protection evaluation model, into the constructed linear regression model to obtain the final neck protection evaluation value.

[0024] As a further solution of the present invention, constructing the linear regression model includes the following steps:

[0025] Step S1, receiving the shielding effectiveness evaluation value, attenuation characteristic evaluation value, physical performance evaluation value, and structural performance evaluation value output by the protection parameter analysis module to form a data set;

[0026] Step S2, performing standardization processing on each evaluation value in the data set;

[0027] Step S3, calculating the neck protection evaluation value of the lead neck gaiter according to the constructed neck protection evaluation model;

[0028] Step S4, using the neck protection evaluation value as one of the input features, and at the same time retaining the standardized shielding effectiveness evaluation value, attenuation characteristic evaluation value, physical performance evaluation value, and structural performance evaluation value to form a new data set;

[0029] Step S5, dividing 80% of the new data set as the training set and 20% as the test set;

[0030] Step S6: Train the linear regression model using the training set. The input features of the model include the standardized shielding effectiveness evaluation value, attenuation characteristic evaluation value, physical property evaluation value, structural property evaluation value, and the initial neck protection evaluation value, and the target variable is the final neck protection evaluation value. Use the test set to test the model.

[0031] Compared with the prior art, the beneficial effects of a neck radiation protection evaluation system for a medical radiation environment of the present invention are as follows:

[0032] The present invention adopts multi-module collaborative work. Through the comprehensive application of four modules, namely, protection performance detection, parameter extraction, parameter analysis, and protection evaluation, the protection performance of the lead neckband is comprehensively evaluated. Through multi-dimensional parameter analysis, including shielding effectiveness, attenuation characteristics, physical properties, and structural properties, the defects of single and incomplete analysis of traditional evaluation methods are overcome, and combined with the linear regression model, the accuracy and reliability of protection evaluation are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a schematic structural diagram of a neck radiation protection evaluation system for a medical radiation environment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0034] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0035] Embodiment 1

[0036] A neck radiation protection evaluation system for a medical radiation environment includes a protection performance detection module, a protection parameter extraction module, a protection parameter analysis module, and a protection evaluation module.

[0037] In the embodiment of the present invention, the protection performance detection module is connected to the protection parameter acquisition module, the protection parameter acquisition module is connected to the protection parameter analysis module, and the protection parameter analysis module is connected to the protection evaluation module.

[0038] The protection performance detection module is used to scan the surface of the lead neck guard point by point using an X-ray source and a detector array, measure the radiation shielding effectiveness of each point, and generate a shielding effectiveness distribution map; emit X-rays at different energy levels through an X-ray source with adjustable energy, and the scintillation detector array receives the radiation signal passing through the lead neck guard and converts it into an electrical signal; perform internal fluoroscopy on the lead neck guard through an X-ray imaging device to obtain a fluoroscopic image of the lead neck guard; take a surface image of the lead neck guard through a camera; measure at multiple points on the lead neck guard using an ultrasonic thickness gauge to obtain the thickness values of each measurement point; and transmit the above data to the protection parameter extraction module.

[0039] The protection parameter extraction module obtains the average gray value, standard deviation of the gray value, maximum gray value, and minimum gray value of the shielding effectiveness distribution map through image processing technology; obtains the intensity of the X-ray after penetration at each detection point in each energy level in the electrical signal through signal processing technology and transmits it to the attenuation characteristic evaluation unit; identifies the creases and damaged areas on the surface of the lead neck guard, as well as the tangles and fracture areas inside the lead neck guard through image processing technology, and obtains the tangle length and number, total fracture area, total damaged area, and crease length and number; obtains the thickness gradient, thickness fluctuation frequency, local thickness variation coefficient, and overall thickness variation coefficient of the lead neck guard through characteristic analysis of the thickness values of each measurement point; and transmits the above parameters to the protection parameter analysis module.

[0040] The protection parameter analysis module includes a shielding effectiveness evaluation unit, an attenuation characteristic evaluation unit, a physical property evaluation unit, and a structural property evaluation unit, which are used to analyze the shielding effectiveness, attenuation characteristics, physical properties, and structural properties of the lead neck guard according to the parameters obtained by the protection performance detection module and the protection parameter extraction module, and obtain the corresponding evaluation values of the lead neck guard.

[0041] In the embodiment of the present invention, the shielding effectiveness evaluation unit uses the constructed shielding effectiveness uniformity evaluation model to evaluate the uniformity of the shielding effectiveness of the lead neck guard. Among them, the formula of the shielding effectiveness uniformity evaluation model is:

[0042]

[0043] In the formula, SUI is the shielding effectiveness uniformity evaluation value, u avg is the average gray value of the shielding effectiveness distribution map, σ is the standard deviation of the gray value, μ max is the maximum gray value, μ min is the minimum gray value.

[0044] In the embodiment of the present invention, the attenuation characteristic evaluation unit uses the constructed attenuation characteristic evaluation model to evaluate the attenuation characteristics of the lead neck guard. Among them, the formula of the attenuation characteristic evaluation model is:

[0045]

[0046] In the formula, ECI is the attenuation characteristic evaluation value, N is the total number of X-rays with different energy levels emitted by the X-ray source, and I i,j is the intensity of the X-ray after penetration at the i-th detection point at the j-th energy level, and I 0,j is the initial X-ray intensity at the j-th energy level, x i is the abscissa of the i-th detection point, and y i is the ordinate of the i-th detection point, T i is the average thickness of the lead necklet, and d i is the distance from the i-th detection point to the X-ray source.

[0047] In the embodiment of the present invention, the physical property evaluation unit evaluates the physical properties of the lead necklet by using the constructed physical property evaluation model. Among them, the formula of the physical property evaluation model is:

[0048]

[0049] In the formula, PPI is the physical property evaluation value, and L c is the entanglement length, and N c is the number of entanglement strips, and A b is the total area of the fracture region, and A d is the total area of the damaged region, and L f is the crease length, and N f is the number of creases.

[0050] In the embodiment of the present invention, the structural property evaluation unit receives the parameters provided by the protection parameter extraction module and evaluates the structural properties of the lead necklet by using the constructed structural property evaluation model. Among them, the formula of the structural property evaluation model is:

[0051]

[0052] In the formula, SPI is the structural property evaluation value, and G T is the thickness gradient, and F T is the thickness fluctuation frequency, and LTV m is the local thickness variation coefficient of the m-th measurement point, U is the total number of detection points, and GTV is the overall thickness variation coefficient.

[0053] The protection evaluation module constructs a neck protection evaluation model according to the shielding effectiveness evaluation value, attenuation characteristic evaluation value, physical property evaluation value, and structural property evaluation value output by the protection parameter analysis module, and evaluates the radiation protection effect of the lead necklet on the neck.

[0054] The protection evaluation module in the embodiments of the present invention is used to input the standardized shielding effectiveness evaluation value, attenuation characteristic evaluation value, physical property evaluation value, structural property evaluation value, and the neck protection evaluation value obtained from the neck protection evaluation model into the constructed linear regression model to obtain the final neck protection evaluation value.

[0055] The construction of the linear regression model in the embodiments of the present invention includes the following steps:

[0056] Step S1: Receive the shielding effectiveness evaluation value, attenuation characteristic evaluation value, physical property evaluation value, and structural property evaluation value output by the protection parameter analysis module to form a data set;

[0057] Step S2: Perform standardization processing on each evaluation value in the data set;

[0058] Step S3: Calculate the neck protection evaluation value of the lead neck gaiter according to the constructed neck protection evaluation model, where the formula of the neck protection evaluation model is:

[0059]

[0060] In the formula, CEI is the neck protection evaluation value, SUI is the shielding effectiveness uniformity evaluation value, ECI is the attenuation characteristic evaluation value, PPI is the physical property evaluation value, SPI is the structural property evaluation value, and k is the adjustment coefficient;

[0061] Step S4: Use the neck protection evaluation value as one of the input features, and at the same time retain the standardized shielding effectiveness evaluation value, attenuation characteristic evaluation value, physical property evaluation value, and structural property evaluation value to form a new data set;

[0062] Step S5: Divide the new data set, with 80% as the training set and 20% as the test set;

[0063] Step S6: Use the training set to train the linear regression model. The input features of the model include the standardized shielding effectiveness evaluation value, attenuation characteristic evaluation value, physical property evaluation value, structural property evaluation value, and the initial neck protection evaluation value, and the target variable is the final neck protection evaluation value; use the test set to test the model.

[0064] The following is a Python code example for obtaining the final protection evaluation value using a linear regression model. Please note that this example is only a starting point and may need to be adjusted according to the actual situation and device interfaces in actual applications;

[0065] import numpy as np

[0066] import pandas as pd

[0067] from sklearn.model_selection import train_test_spl it

[0068] from sklearn.linear_model import LinearRegression

[0069] from sklearn.preprocessing import StandardScaler

[0070] data = {

[0071] 'SUI': [value1, value2, value3,...], # Shielding effectiveness uniformity evaluation value

[0072] 'ECI': [value1, value2, value3,...], # Attenuation characteristic evaluation value

[0073] 'PPI': [value1, value2, value3,...], # Physical property evaluation value

[0074] 'SPI': [value1, value2, value3,...] # Structural property evaluation value

[0075] }

[0076] df = pd.DataFrame(data)

[0077] scaler = StandardScaler()

[0078] standardized_data = scaler.fit_transform(df)

[0079] df_standardized = pd.DataFrame(standardized_data, columns = df.columns)

[0080] k = 1 # Adjustment coefficient

[0081] df_standardized['CEI'] = df_standardized.apply(lambda row: row['SUI'] * (row['PPI'] + np.log(1 + row['SPI'])) / (1 +

[0082] row['ECI'])+k, axis = 1)

[0083] new_data = df_standardized.copy()

[0084] new_data['Initial_CEI'] = df_standardized['CEI']

[0085] X = new_data[['SUI', 'ECI', 'PPI', 'SPI', 'Initial_CEI']]

[0086] y = new_data['CEI']

[0087] X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 42)

[0088] model = LinearRegression()

[0089] model.fit(X_train, y_train)

[0090] y_pred = model.predict(X_test)

[0091] print("Model coefficients:", model.coef_)

[0092] print("Model intercept:", model.intercept_)

[0093] print("Predicted values for test set:", y_pred)

[0094] print("True values for test set:", y_test.values)

[0095] This code is only for example, and appropriate modifications and adjustments need to be made according to specific situations in actual applications.

[0096] The above are only specific implementation manners of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed in the present application can easily think of changes or substitutions, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0097] Finally, the above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A neck radiation protection evaluation system for a medical radiation environment, comprising a protection performance detection module, a protection parameter extraction module, a protection parameter analysis module and a protection evaluation module, characterized in that, The protection performance detection module is connected to the protection parameter acquisition module, the protection parameter acquisition module is connected to the protection parameter analysis module, and the protection parameter analysis module is connected to the protection evaluation module; among them, the protection parameter analysis module includes a shielding effectiveness evaluation unit, an attenuation characteristic evaluation unit, a physical property evaluation unit, and a structural property evaluation unit, which are used to construct a shielding effectiveness evaluation model, an attenuation characteristic evaluation model, a physical property evaluation model, and a structural property evaluation model based on the parameters obtained by the protection performance detection module and the protection parameter extraction module, and obtain the corresponding shielding effectiveness, attenuation characteristics, physical properties, and structural property evaluation values of the lead neck gaiter; The protection evaluation module constructs a neck protection evaluation model based on the shielding effectiveness evaluation value, attenuation characteristic evaluation value, physical property evaluation value, and structural property evaluation value output by the protection parameter analysis module, and evaluates the radiation protection effect of the lead neck gaiter on the neck. Among them, the formula of the neck protection evaluation model is: In the formula, CEI is the neck protection evaluation value, SUI is the shielding effectiveness uniformity evaluation value, ECI is the attenuation characteristic evaluation value, PPI is the physical property evaluation value, SPI is the structural property evaluation value, and k is the adjustment coefficient.

2. The neck radiation protection assessment system for a medical radiation environment according to claim 1, wherein, The protection performance detection module uses an X-ray source and a detector array to scan the surface of the lead neck gaiter point by point, measure the radiation shielding effectiveness of each point, generate a shielding effectiveness distribution map, and transmit it to the protection parameter extraction module; the protection parameter extraction module obtains the average gray value, standard deviation of the gray value, maximum gray value, and minimum gray value of the shielding effectiveness distribution map through image processing technology, and transmits the above data to the shielding effectiveness evaluation unit. The shielding effectiveness evaluation unit uses the constructed shielding effectiveness uniformity evaluation model to evaluate the uniformity of the shielding effectiveness of the lead neck gaiter. Among them, the formula of the shielding effectiveness uniformity evaluation model is: Wherein, SUI is the evaluation value of shielding effectiveness uniformity, and u avg is the average gray value of the shielding effectiveness distribution map, σ is the standard deviation of the gray value, and μ max is the maximum gray value, and μ min is the minimum gray value.

3. The neck radiation protection evaluation system for a medical radiation environment according to claim 1, characterized in that, The protection performance detection module emits X-rays at different energy levels through an X-ray source with adjustable energy. The scintillation detector array receives the radiation signal after passing through the lead neck gaiter and converts it into an electrical signal, which is transmitted to the protection parameter extraction module; the protection parameter extraction module obtains the intensity of the X-rays after penetration at each detection point at each energy level through signal processing technology and transmits it to the attenuation characteristic evaluation unit; the attenuation characteristic evaluation unit uses the constructed attenuation characteristic evaluation model to evaluate the attenuation characteristics of the lead neck gaiter. Among them, the formula of the attenuation characteristic evaluation model is: Wherein, ECI is the attenuation characteristic evaluation value, N is the total number of X-rays with different energy levels emitted by the X-ray source, and I i,j is the X-ray intensity after penetration at the i-th detection point at the j-th energy level, and I 0,j is the initial X-ray intensity at the j-th energy level, x i is the abscissa of the i-th detection point, y i is the ordinate of the i-th detection point, T i is the average thickness of the lead neck gaiter, d i is the distance from the i-th detection point to the X-ray source.

4. The neck radiation protection evaluation system for medical radiation environment according to claim 1, wherein The protection performance detection module performs internal fluoroscopy on the lead neck gaiter through an X-ray imaging device to obtain a fluoroscopy image of the lead neck gaiter; takes a surface image of the lead neck gaiter through a camera; transmits the above images to the protection parameter extraction module; the protection parameter extraction module identifies the creases and damaged areas on the surface of the lead neck gaiter, as well as the entangled and fractured areas inside the lead neck gaiter through image processing technology, obtains the entangled length and number, total area of the fractured area, total area of the damaged area, and crease length and number, and transmits the above data to the physical property evaluation unit; the physical property evaluation unit uses the constructed physical property evaluation model to evaluate the physical properties of the lead neck gaiter. Among them, the formula of the physical property evaluation model is: Wherein, PPI is the physical property evaluation value, L c is the entanglement length, N c is the number of entanglement strands, A b is the total area of the fracture region, A d is the total area of the damaged region, L f is the crease length, N f is the number of creases.

5. The neck radiation protection evaluation system for medical radiation environment according to claim 1, characterized in that, The protection performance detection module measures at multiple points on the lead neck gaiter through an ultrasonic thickness gauge, obtains the thickness values of each measurement point, and transmits them to the protection parameter extraction module; the protection parameter extraction module performs feature analysis on the thickness values of each measurement point to obtain the thickness gradient, thickness fluctuation frequency, local thickness variation coefficient, and overall thickness variation coefficient of the lead neck gaiter; the structural performance evaluation unit receives the parameters provided by the protection parameter extraction module and evaluates the structural performance of the lead neck gaiter using the constructed structural performance evaluation model. Among them, the formula of the structural performance evaluation model is: In the formula, SPI is the structural performance evaluation value, G T is the thickness gradient, F T is the thickness fluctuation frequency, LTV m is the local thickness variation coefficient of the m-th measurement point, U is the total number of detection points, and GTV is the overall thickness variation coefficient.

6. The neck radiation protection evaluation system for medical radiation environment according to claim 1, wherein The protection evaluation module is used to input the standardized shielding effectiveness evaluation value, attenuation characteristic evaluation value, physical property evaluation value, and structural performance evaluation value, as well as the neck protection evaluation value obtained from the neck protection evaluation model, into the constructed linear regression model to obtain the final neck protection evaluation value.

7. The neck radiation protection evaluation system for a medical radiation environment according to claim 6, wherein Constructing the linear regression model includes the following steps: Step S1: Receive the shielding effectiveness evaluation value, attenuation characteristic evaluation value, physical property evaluation value, and structural performance evaluation value output by the protection parameter analysis module to form a data set; Step S2: Standardize each evaluation value in the data set; Step S3: Calculate the neck protection evaluation value of the lead neck gaiter according to the constructed neck protection evaluation model; Step S4: Use the neck protection evaluation value as one of the input features, and at the same time retain the standardized shielding effectiveness evaluation value, attenuation characteristic evaluation value, physical property evaluation value, and structural performance evaluation value to form a new data set; Step S5: Divide the new data set, with 80% as the training set and 20% as the test set; Step S6: Use the training set to train the linear regression model. The input features of the model include the standardized shielding effectiveness evaluation value, attenuation characteristic evaluation value, physical property evaluation value, and structural performance evaluation value, as well as the initial neck protection evaluation value, and the target variable is the final neck protection evaluation value; use the test set to test the model.

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