Ultrasonic image denoising method

Abstract

The invention discloses an ultrasonic image denoising method, which relates to the technical field of ultrasonic acquisition, quantifies various interference factors of ultrasonic equipment in work through multi-dimensional analysis of an equipment coefficient Sbxs and an electromagnetic interference coefficient Dcxs, realizes accurate identification of interference through calculation and analysis, and realizes accurate identification of the interference through sensor data acquisition. Performance parameters, a gain value, a depth value, a focus value, a graph acquisition speed, an electromagnetic parameter, a radio frequency and a radiation value of the ultrasonic equipment are monitored in real time, an interference source can be identified more accurately by analyzing the parameters, and meanwhile the interference source can be identified more accurately by adjusting the parameters. When ultrasonic image monitoring is carried out on the heart, image quality reduction caused by artifacts generated by equipment problems when a heart valve jumps is not easily caused, so that the influence of the artifacts is reduced when subsequent ultrasonic image acquisition is carried out, and a reliable basis is provided for subsequent de-noising processing.

Description

Technical Field

[0001] The present invention relates to the field of ultrasonic image processing, and specifically to an ultrasonic image denoising method. Background Art

[0002] Ultrasonic images are widely used in the medical field. Especially in cardiac ultrasound examinations, the working principle of medical ultrasound examinations is somewhat similar to that of sonar, that is, ultrasonic waves are emitted into the human body. When it encounters an interface in the body, reflection and refraction will occur, and it may be absorbed and attenuated in human tissues. Because the shapes and structures of various human tissues are different, the degrees of reflection, refraction, and absorption of ultrasonic waves are also different. Doctors identify them through the waveform and curve characteristics of the images reflected by the instrument.

[0003] At present, the ultrasonic image denoising methods mainly focus on image processing techniques. There are often various noise points and interferences in ultrasonic images, which affect the quality and accuracy of the images. It is not easy to comprehensively consider the influences of equipment interference, electromagnetic interference, and environmental factors on the generation of noise points. And after noise points appear in the pictures, it is not easy to accurately adjust the comprehensive influencing factors. At the same time, the current ultrasonic image denoising methods are relatively single, and it is not easy to perform secondary processing on the collected ultrasonic images multiple times. Summary of the Invention

[0004] Technical Problems to be Solved In view of the deficiencies of the prior art, the present invention provides an ultrasonic image denoising method, which solves the problems mentioned in the background art.

[0005] Technical Solutions To achieve the above objectives, the present invention is realized through the following technical solutions: An ultrasonic image denoising method includes the following steps: S1. First, the ultrasonic monitoring module sets multiple groups of sensors for the current ultrasonic device, collects each working point of the ultrasonic device, and the acquisition module collects the real-time environmental data and comprehensive interference data of each working point, and establishes an environmental data set and a comprehensive interference data set; S2. Then, the collected real-time environmental data set and comprehensive interference data set are sent to the data processing module, and are analyzed and calculated by the first processing unit in the data processing module to obtain the comprehensive interference coefficient Grxs; The interference coefficient Grxs is obtained through the following formula: Wherein, Sbxs represents the device coefficient, Dcxs represents the electromagnetic interference coefficient, a1 and a2 represent the proportionality coefficients of the device coefficient Sbxs and the electromagnetic interference coefficient Dcxs, and a1 + a2 ≠ 1, 0 < a1 < 1, 0 < a2 < 1, and their specific values are adjusted and set by the user, and A is a correction constant; S3. The interference coefficient Grxs and the environmental coefficient Hjxs obtained by the first processing unit and the second processing unit are correlated by the third correlation processing unit to obtain the comprehensive image acquisition coefficient Zhxs; S4. Then, the first threshold F1 and the second threshold F2 preset by the evaluation module are used for comparative evaluation to obtain the corresponding evaluation result, and the denoising module generates a corresponding denoising processing method for the corresponding evaluation result to perform the first denoising processing before acquisition; S5. When the current comprehensive image acquisition coefficient Zhxs meets the acquisition conditions, the ultrasonic device will start to perform multi-frame acquisition of ultrasonic images of the heart part, and then the image processing module will perform the second denoising processing on the acquired images.

[0006] Preferably, the ultrasonic monitoring module includes a device monitoring unit and an environmental monitoring unit; The device monitoring unit is used to use the first integrated sensor group and the second integrated sensor group to perform real-time monitoring on the acquisition device and electromagnetic interference of the ultrasonic device to obtain comprehensive interference data; The first integrated sensor group includes a Hall effect sensor, a radio frequency sensor, and an electromagnetic induction sensor; The second integrated sensor group includes an ultrasonic probe sensor, a signal quality sensor, and an image sensor; The environmental monitoring unit is used to use the third integrated sensor group to perform real-time monitoring on the environment near the ultrasonic device to obtain real-time environmental data; The third integrated sensor group includes a temperature sensor, a humidity sensor, a photosensitive sensor, and a barometric pressure sensor.

[0007] Preferably, the acquisition module includes an interference acquisition unit and an environmental acquisition unit; The interference acquisition unit is used to summarize and collect the comprehensive interference data monitored by the device monitoring unit and merge them into a comprehensive interference data set. The comprehensive interference data set includes an electromagnetic interference data set and a device data set. The electromagnetic interference data set includes electromagnetic parameters Dcz, radio frequencies Wxz, and radiation values Fsz; the device data set includes gain values Zyz, depth values Sdz, focus values Jdz, and image acquisition speeds Cjs; The environmental data acquisition unit is used to collect the real-time environmental data monitored by the environmental monitoring unit and summarize them to generate an environmental data set, where the environmental data set includes temperature Wd, humidity Sd, light intensity Gz, and atmospheric pressure value Qy.

[0008] Preferably, the data processing module includes a first processing unit, a second processing unit, and a third correlation processing unit; The first processing unit includes a device calculation unit, which is used to perform feature extraction based on the device data set in the comprehensive interference data, and after dimensionless processing, summarize and calculate to obtain a device coefficient Sbxs; The device coefficient Sbxs is obtained through the following formula: In the formula, c1, c2, c3, and c4 represent the proportionality coefficients of the gain value Zyz, depth value Sdz, focus value Jdz, and image acquisition speed Cjs, where 0.02 < c1 < 0.89, 0.05 < c2 < 0.77, 0.14 < c3 < 0.9, 0.12 < c4 < 0.94, and their specific values are adjusted and set by the user. C is a correction constant. The meaning of the formula is that through the comprehensive calculation of the device coefficient Sbxs and by adjusting the parameters in the ultrasonic device, the artifact problem caused by the beating of the heart valve during heart ultrasonic image acquisition is optimized.

[0009] Preferably, the first processing unit includes an electromagnetic interference calculation unit, which is used to perform feature extraction based on the electromagnetic interference data set in the comprehensive interference coefficient, and after dimensionless processing, summarize and calculate to obtain an electromagnetic interference coefficient Dcxs; The electromagnetic interference coefficient Dcxs is obtained through the following formula: In the formula, d1, d2, and d3 are respectively the proportionality coefficients of the electromagnetic parameter Dcz, radio frequency Wxz, and radiation value Fsz, where 0 < d1 < 1, 0 < d2 < 1, 0 < d3 < 1, and their specific values are adjusted and set by the user. D is a correction constant. The meaning of the formula is that by analyzing the interference data near the ultrasonic device, the influence of the current electromagnetic interference coefficient Dcxs on the generation of noise during ultrasonic image acquisition is accurately identified.

[0010] Preferably, the second processing unit is used to perform feature extraction based on the environmental data set in the real-time environmental data, and after dimensionless processing, summarize and calculate to obtain an environmental coefficient Hjxs; The environmental coefficient Hjxs is obtained through the following formula: Wherein, b1, b2, b3, and b4 represent the proportionality coefficients of the temperature Wd, humidity Sd, light intensity Gz, and atmospheric pressure value Qy. , , , , and their specific values are adjusted and set by the user. B is a correction constant. The meaning of the formula is: by monitoring the working environment of the ultrasonic device, the influence of the current environment on the image acquisition of the ultrasonic device is analyzed.

[0011] Preferably, the third correlation processing unit is used to perform correlation calculation and analysis on the environmental coefficient Hjxs and the comprehensive interference coefficient Grxs to obtain the comprehensive noise coefficient Zhxs. The comprehensive noise coefficient Zhxs is obtained through the following formula: Wherein, e1 and e2 represent the proportionality coefficients of the environmental coefficient Hjxs and the comprehensive interference coefficient Grxs. Among them, 0 < e1 < 1, 0 < e2 < 1, and their specific values are adjusted and set by the user. E is a correction constant. The significance of the formula is that by analyzing the internal and external parameters of the ultrasonic device, the environmental coefficient Hjxs and the comprehensive interference coefficient Grxs are summarized for comparison and analysis with the ultrasonic image acquisition conditions.

[0012] Preferably, the comprehensive noise coefficient Zhxs obtained by the third correlation processing unit is compared and evaluated by the first threshold F1 and the second threshold F2 set by the evaluation module to obtain the following evaluation results: If the comprehensive noise coefficient Zhxs > the first threshold F1, it means that the current ultrasonic image acquisition is abnormal, and the first evaluation result is generated. If the second threshold F2 ≤ the comprehensive noise coefficient Zhxs ≤ the first threshold F1, it means that the current ultrasonic image acquisition is normal, and no evaluation result needs to be generated. If the comprehensive noise coefficient Zhxs < the first threshold F2, it means that the current ultrasonic image acquisition is abnormal, and the second evaluation result is generated.

[0013] Preferably, the evaluation module sends the generated evaluation result to the denoising module, and the denoising module performs corresponding processing on the evaluation result it obtains. The specific optimization strategy is as follows: When the denoising module receives the first evaluation result sent by the evaluation module, it means that the values of the environmental coefficient Hjxs and the comprehensive interference coefficient Grxs in the current ultrasonic image acquisition are both greater than 100%. At this time, it is necessary to optimize the environment and comprehensive interference and reduce them to 100%. When receiving the second evaluation result sent by the evaluation module, the denoising module indicates that the values of the environmental coefficient Hjxs and the comprehensive interference coefficient Grxs during the current ultrasonic image acquisition are both less than 100%. During ultrasonic image acquisition, the image is affected by the environment and equipment, resulting in noise generation when the ultrasonic equipment acquires images. At this time, it is necessary to optimize the environment and adjust the comprehensive interference to increase the environment and comprehensive interference to 100%.

[0014] Preferably, the image processing module includes an image preprocessing unit and an image denoising unit, which are used to perform a second denoising process on the acquired ultrasonic image when the second threshold F2 ≤ comprehensive noise coefficient Zhxs ≤ the first threshold F1; The image preprocessing unit is used to preprocess the ultrasonic images acquired by the ultrasonic equipment, and the processing methods include color space conversion, enhancing the contrast of the image, and SIFT feature extraction; After determining the positions of the noise points, the image denoising unit is used to process these positions specifically. The processing methods include image filtering and total variation denoising methods to denoise the ultrasonic images sent by the image preprocessing unit.

[0015] Beneficial effects The present invention provides an ultrasonic image denoising method, which has the following beneficial effects: (1) Through the multi-dimensional analysis of the device coefficient Sbxs and the electromagnetic interference coefficient Dcxs, various interference factors during the operation of the ultrasonic equipment are quantified, realizing the accurate identification of interference. Through sensor data acquisition, the performance parameters of the ultrasonic equipment, such as gain value, depth value, focus value, and image acquisition speed, as well as electromagnetic parameters, radio frequency, and radiation value, are monitored in real time. This quantitative analysis not only enables more accurate identification of interference sources, but also makes it less likely to be affected by the beating of the heart valve and generate artifacts, resulting in a decline in image quality when monitoring ultrasonic images of the heart. It provides a reliable basis for subsequent denoising processing.

[0016] (2) The data processing module adaptively adjusts these parameters according to the environmental coefficient Hjxs, considering factors such as temperature, humidity, light intensity, and atmospheric pressure, to reduce the adverse effects of the environment on ultrasonic image acquisition. This increases real-time adaptability, ensures high-quality images are obtained in various working environments, and through the evaluation module and the denoising module, accurately evaluates the preliminary acquisition of ultrasonic images, generates a denoising method, and realizes the preliminary denoising of the ultrasonic equipment.

[0017] (3)Through the generation of the first evaluation result and the second evaluation result and the optimization strategy of the denoising module, a preliminary noise reduction process is performed on the ultrasonic image. At the same time, the image preprocessing and deep learning methods are combined by the image processing module to perform a secondary noise reduction process on the ultrasonic image, improving the feasibility of ultrasonic image acquisition. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 Schematic diagram of the steps of an ultrasonic image denoising method of the present invention; Figure 2 Block diagram flow schematic diagram of an ultrasonic image denoising method of the present invention.

[0019] In the figure: 1, ultrasonic monitoring module; 2, acquisition module; 3, data processing module; 4, evaluation module; 5, denoising module; 6, image processing module; 11, equipment monitoring unit; 12, environment monitoring unit; 21, interference acquisition unit; 22, environment acquisition unit; 31, first processing unit; 32, second processing unit; 33, third correlation processing unit; 311, equipment calculation unit; 312, electromagnetic interference calculation unit; 61, image preprocessing unit; 62, image denoising unit. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to 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.

[0021] Embodiment 1 The present invention provides an ultrasonic image denoising method. Please refer to Figure 1 and Figure 2 , including the following steps: S1. First, the ultrasonic monitoring module 1 sets multiple groups of sensors for the current ultrasonic device, collects data for each working point of the ultrasonic device, and the acquisition module 2 collects the real-time environmental data and comprehensive interference data of each working point, and establishes an environmental data set and a comprehensive interference data set; S2. Then, the collected real-time environmental data set and comprehensive interference data set are sent to the data processing module 3, and are analyzed and calculated by the first processing unit 31 in the data processing module 3 to obtain a comprehensive interference coefficient Grxs; The interference coefficient Grxs is obtained through the following formula: Wherein, Sbxs represents the device coefficient, Dcxs represents the electromagnetic interference coefficient, a1 and a2 represent the proportionality coefficients of the device coefficient Sbxs and the electromagnetic interference coefficient Dcxs, and a1 + a2 ≠ 1, 0 < a1 < 1, 0 < a2 < 1, and their specific values are adjusted and set by the user, and A is a correction constant; S3. The interference coefficient Grxs and the environmental coefficient Hjxs obtained by the first processing unit 31 and the second processing unit 32 are correlated by the third correlation processing unit 33 to obtain the comprehensive image acquisition coefficient Zhxs; S4. Then, the first threshold F1 and the second threshold F2 preset by the evaluation module 4 are compared and evaluated to obtain the corresponding evaluation result. The corresponding evaluation result is subjected to denoising processing by the denoising module 5, and the first denoising processing is performed before acquisition; S5. When the current comprehensive image acquisition coefficient Zhxs meets the acquisition condition, the ultrasonic device will start to perform multi-frame acquisition of ultrasonic images of the heart part, and then the image processing module 6 will perform the second denoising processing on the acquired images.

[0022] In this embodiment, the method realizes the real-time monitoring of the working point environment of the ultrasonic device and the interference analysis. The correlation between the comprehensive interference coefficient Grxs and the environmental coefficient Hjxs helps to determine the appropriate timing of image acquisition. The introduction of the evaluation module 4 ensures the acquisition quality, and the secondary denoising processing of the image processing module 6 improves the quality of the ultrasonic image, enabling medical professionals to obtain more accurate and clear cardiac ultrasonic images, thereby improving the accuracy and reliability of diagnosis.

[0023] Embodiment 2 This embodiment is an explanatory description based on Embodiment 1. Please refer to Figure 1 and Figure 2 Specifically, the ultrasonic monitoring module 1 includes a device monitoring unit 11 and an environmental monitoring unit 12; The device monitoring unit 11 is used to use the first integrated sensor group and the second integrated sensor group to perform real-time monitoring on the acquisition device and electromagnetic interference of the ultrasonic device, and obtain comprehensive interference data; The first integrated sensor group includes a Hall effect sensor, a radio frequency sensor, and an electromagnetic induction sensor; The second integrated sensor group includes an ultrasonic probe sensor, a signal quality sensor, and an image sensor; The environmental monitoring unit 12 is used to use the third integrated sensor group to perform real-time monitoring on the environment near the ultrasonic device and obtain real-time environmental data; The third integrated sensor group includes a temperature sensor, a humidity sensor, a photosensitive sensor, and a barometric pressure sensor.

[0024] In this embodiment, the device monitoring unit 11 is divided into a first integrated sensor group and a second integrated sensor group. The first integrated sensor group includes a Hall effect sensor, a radio frequency sensor, and an electromagnetic induction sensor. These sensors are responsible for real-time monitoring of the electromagnetic interference and other device states of the ultrasonic device. The second integrated sensor group includes an ultrasonic probe sensor, a signal quality sensor, and an image sensor. These sensors are responsible for monitoring the state of the ultrasonic probe, signal quality, and image acquisition to ensure the normal operation of the ultrasonic device. The environment monitoring unit 12 uses a third integrated sensor group to be responsible for monitoring the real-time situation of the environment around the ultrasonic device. The third integrated sensor group includes a temperature sensor, a humidity sensor, a photosensitive sensor, and a barometric pressure sensor. These sensors real-time monitor the temperature, humidity, light intensity, and barometric pressure of the surrounding environment, and integrate the collected environmental data into real-time environmental data, thereby ensuring the real-time monitoring and interference analysis of the ultrasonic device and its working environment, and improving the quality and accuracy of the collected cardiac ultrasound images.

[0025] Embodiment 3 This embodiment is an explanatory description based on Embodiment 1. Please refer to Figure 1 and Figure 2 , specifically: The acquisition module 2 includes an interference acquisition unit 21 and an environment acquisition unit 22; The interference acquisition unit 21 is used to collect and summarize the comprehensive interference data monitored by the device monitoring unit 11 and merge them into a comprehensive interference data set. The comprehensive interference data set includes an electromagnetic interference data set and a device data set. The electromagnetic interference data set includes electromagnetic parameters Dcz, radio frequency Wxz, and radiation value Fsz; the device data set includes gain value Zyz, depth value Sdz, focus value Jdz, and image acquisition speed Cjs; The environment acquisition unit 22 is used to collect the real-time environmental data monitored by the environment monitoring unit 12 and summarize them to generate an environment data set. The environment data set includes temperature Wd, humidity Sd, light value Gz, and atmospheric pressure value Qy.

[0026] In this embodiment, the device monitoring unit 11 and the environment monitoring unit 12 real-time monitor the data of the ultrasonic device and its surrounding environment through their respective sensor groups. The interference acquisition unit 21 collects and summarizes the comprehensive interference data of the device monitoring unit 11 to form a comprehensive interference data set. The environment acquisition unit 22 collects and summarizes the real-time environmental data of the environment monitoring unit 12 to generate an environment data set. The acquisition module 2 sends the comprehensive interference data set and the environment data set to the data processing module 3 for subsequent interference data calculation and image acquisition decision-making.

[0027] Embodiment 4 This embodiment is an explanatory description based on Embodiment 1. Please refer to Figure 1 and Figure 2, specifically: the data processing module 3 includes a first processing unit 31, a second processing unit 32, and a third correlation processing unit 33; The first processing unit 31 includes a device calculation unit 311. The device calculation unit 311 is used to calculate the device coefficient Sbxs by summarizing and calculating based on the device data set in the comprehensive interference data after dimensionless processing. The device coefficient Sbxs is obtained through the following formula: In the formula, c1, c2, c3, and c4 represent the proportionality coefficients of the gain value Zyz, the depth value Sdz, the focus value Jdz, and the image acquisition speed Cjs. Among them, 0.02 < c1 < 0.89, 0.05 < c2 < 0.77, 0.14 < c3 < 0.9, 0.12 < c4 < 0.94, and their specific values are adjusted and set by the user. C is a correction constant. The meaning of the formula is that through the comprehensive calculation of the device coefficient Sbxs, by adjusting the parameters in the ultrasonic device, the artifact problem caused by the beating of the heart valve during heart ultrasonic image acquisition is optimized.

[0028] In this embodiment, the data collected by the interference acquisition unit 21 and the environment acquisition unit 22 are integrated by the acquisition module 2 and transmitted to the data processing module 3. The device calculation unit 311 in the first processing unit 31 extracts parameters from the comprehensive interference data set, performs feature extraction and dimensionless processing, calculates the device coefficient Sbxs using the formula, and optimizes the parameters of the ultrasonic device through the proportionality coefficient and correction constant set by the user to solve the artifact problem caused by the beating of the heart valve.

[0029] Embodiment 5 This embodiment is an explanatory description based on Embodiment 1. Please refer to Figure 1 and Figure 2 , specifically: the first processing unit 31 includes an electromagnetic interference calculation unit 312. The electromagnetic interference calculation unit 312 is used to calculate the electromagnetic interference coefficient Dcxs by summarizing and calculating based on the electromagnetic interference data set in the comprehensive interference data after feature extraction and dimensionless processing. The electromagnetic interference coefficient Dcxs is obtained through the following formula: In the formula, d1, d2, and d3 are the proportionality coefficients of the electromagnetic parameter Dcz, the radio frequency Wxz, and the radiation value Fsz respectively. Among them, 0 < d1 < 1, 0 < d2 < 1, 0 < d3 < 1, and their specific values are adjusted and set by the user. D is a correction constant. The meaning of the formula is that by analyzing the interference data near the ultrasonic device, the influence of the current electromagnetic interference coefficient Dcxs on the generation of noise during ultrasonic image acquisition is accurately identified.

[0030] In this embodiment, the electromagnetic interference calculation unit 312 in the first processing unit 31 extracts electromagnetic interference data from the comprehensive interference dataset, calculates the electromagnetic interference coefficient Dcxs using a formula, accurately identifies the impact of the current electromagnetic interference on the generation of noise during ultrasonic image acquisition, and improves the recognition and processing capabilities of electromagnetic interference through the accurate calculation of the electromagnetic interference coefficient Dcxs, ensuring that noise is not easily generated during ultrasonic image acquisition.

[0031] Embodiment 6 This embodiment is an explanatory description based on Embodiment 1. Please refer to Figure 1 and Figure 2 Specifically, the second processing unit 32 is used to perform feature extraction based on the environmental dataset in the environmental real-time data, and after dimensionless processing, summarize and calculate to obtain the environmental coefficient Hjxs; The environmental coefficient Hjxs is obtained through the following formula: In the formula, b1, b2, b3, and b4 represent the proportionality coefficients of temperature Wd, humidity Sd, light intensity Gz, and atmospheric pressure value Qy, , , , , and their specific values are adjusted and set by the user. B is a correction constant. The meaning of the formula is to analyze the impact of the current environment on the ultrasonic device when acquiring images by monitoring the working environment of the ultrasonic device.

[0032] In this embodiment, the second processing unit 32 extracts the temperature Wd, humidity Sd, light intensity Gz, and atmospheric pressure value Qy from the environmental dataset of the environmental real-time data, calculates the environmental coefficient Hjxs using a formula, analyzes the impact of the current environment on the ultrasonic device when acquiring images, and improves the recognition ability of the working environment through the analysis of environmental parameters, ensuring that noise is not easily generated during ultrasonic image acquisition.

[0033] Embodiment 7 This embodiment is an explanatory description based on Embodiment 1. Please refer to Figure 1 and Figure 2 Specifically, the third correlation processing unit 33 is used to perform correlation calculation and analysis on the environmental coefficient Hjxs and the comprehensive interference coefficient Grxs to obtain the comprehensive noise coefficient Zhxs; The comprehensive noise coefficient Zhxs is obtained through the following formula: In the formula, e1 and e2 represent the proportionality coefficients of the environmental coefficient Hjxs to the comprehensive interference coefficient Grxs, where 0 < e1 < 1 and 0 < e2 < 1, which specifically means that there is user adjustment and setting. E is a correction constant. The significance of the formula is that by analyzing the internal and external parameters of the ultrasonic device, they are summarized into a comprehensive coefficient for comparative analysis with the ultrasonic image acquisition conditions.

[0034] In this embodiment, the third correlation processing unit 33 performs correlation calculation and analysis on the environmental coefficient Hjxs and the comprehensive interference coefficient Grxs, calculates the comprehensive noise coefficient Zhxs using the formula, and combines the internal parameters and external environmental parameters of the ultrasonic device into a noise coefficient through the proportionality coefficient and correction constant set by the user for comparative analysis with the ultrasonic image acquisition conditions. By combining the internal parameters and external environmental parameters into a comprehensive noise coefficient, a comprehensive analysis of the ultrasonic image acquisition conditions is achieved, ensuring that the quality of the acquired images is not affected by noise caused by internal parameters and external environmental parameters.

[0035] Embodiment 8 This embodiment is an explanatory description based on Embodiment 1. Please refer to Figure 1 and Figure 2 , specifically: The comprehensive noise coefficient Zhxs obtained by the third correlation processing unit 33 is compared and evaluated by the first threshold F1 and the second threshold F2 set by the evaluation module 4 to obtain the following evaluation results; If the comprehensive noise coefficient Zhxs > the first threshold F1, it indicates that the current ultrasonic image acquisition is abnormal, and the first evaluation result is generated; If the second threshold F2 ≤ the comprehensive noise coefficient Zhxs ≤ the first threshold F1, it indicates that the current ultrasonic image acquisition is normal, and no evaluation result needs to be generated; If the comprehensive noise coefficient Zhxs < the first threshold F2, it indicates that the current ultrasonic image acquisition is abnormal, and the second evaluation result is generated.

[0036] In this embodiment, the comprehensive noise coefficient Zhxs is calculated by the third correlation processing unit 33, and then the evaluation module 4 compares Zhxs with the set first threshold F1 and second threshold F2. By setting two thresholds, the quality of ultrasonic image acquisition is flexibly judged, and corresponding evaluation results are generated according to different situations, providing a reference for doctors and ensuring that the quality of the acquired ultrasonic images meets clinical requirements. Users can adjust the thresholds according to actual needs to achieve personalized image quality evaluation. Embodiment 9 This embodiment is an explanatory description based on Embodiment 1. Please refer to Figure 1 and Figure 2, specifically: The evaluation module 4 sends the generated evaluation results to the denoising module 5, and the denoising module 5 performs the first denoising process on the obtained evaluation results. The specific optimization strategies are as follows; When the denoising module 5 receives the first evaluation result sent by the evaluation module 4, it indicates that the values of the environmental coefficient Hjxs and the comprehensive interference coefficient Grxs of the current ultrasonic image acquisition are both greater than 100%. At this time, it is necessary to optimize the environment and comprehensive interference and reduce them to 100%; When the denoising module 5 receives the second evaluation result sent by the evaluation module 4, it indicates that the values of the environmental coefficient Hjxs and the comprehensive interference coefficient Grxs of the current ultrasonic image acquisition are both less than 100%. When acquiring ultrasonic images, the images will be affected by the environment and equipment, resulting in noise in the images acquired by the ultrasonic equipment. At this time, it is necessary to optimize the environment and adjust the comprehensive interference to increase them to 100%.

[0037] In this embodiment, the evaluation module 4 sends the evaluation results to the denoising module 5. According to the received evaluation results, the denoising module 5 adopts corresponding optimization strategies to process the environment and comprehensive interference of the ultrasonic image acquisition. The optimized environmental coefficient and comprehensive interference coefficient reach 100% of the normal value. By flexibly adjusting the environment and comprehensive interference according to the evaluation results, the quality of the ultrasonic image acquisition is ensured, and at the same time, the influence of the external environment and internal equipment is avoided, resulting in noise in the acquired images.

[0038] Embodiment 10 This embodiment is an explanatory description based on Embodiment 1. Please refer to Figure 1 and Figure 2 , specifically: The image processing module 6 includes an image preprocessing unit 61 and an image denoising unit 62, which are used to perform a second denoising process on the acquired ultrasonic images when the second threshold F2 ≤ comprehensive noise coefficient Zhxs ≤ the first threshold F1; The image preprocessing unit 61 is used to preprocess the ultrasonic images collected by the ultrasonic equipment. The processing methods include color space conversion, enhancing the contrast of the images, and SIFT feature extraction; The image denoising unit 62 is used to process these positions specifically after determining the positions of the noise. The processing methods include image filtering and total variation denoising methods to denoise the ultrasonic images sent by the image preprocessing unit 61.

[0039] In this embodiment, the image preprocessing unit 61 performs preprocessing operations such as color space conversion, contrast enhancement, and SIFT feature extraction on the acquired ultrasonic image to extract image features and improve image quality. The preprocessed image is then transmitted to the image denoising unit 62. The image denoising unit 62 determines the positions of the noise points and then performs targeted denoising processing using methods such as image filtering and total variation denoising according to the positions of the noise points. This method combines preprocessing and targeted denoising methods, can effectively remove noise while retaining image features, and improves the clarity and accuracy of ultrasonic images.

[0040] Specific example: A certain ultrasonic image acquisition device, which introduces an ultrasonic image denoising method. The following is an example of the certain ultrasonic image acquisition device.

[0041] Interference coefficient Grxs: ; Proportion coefficients a1 = 0.25, a2 = 0.36, correction constant A: 0.01; Device coefficient Sbxs: ; Gain value Zyz: 18, depth value Sdz: 14, focus value Jdz: 21, image acquisition speed Cjs: 36, proportion coefficients c1 = 0.24, c2 = 0.33, c3 = 0.47, c4 = 0.15, correction constant C: 0.23; Electromagnetic interference coefficient Dcxs: ; Electromagnetic parameter Dcz: 15, radio frequency Wxz: 27, radiation value Fsz: 4, proportion coefficients d1 = 0.14, d2 = 0.21, d3 = 0.17, correction constant D: 0.46; Environmental coefficient Hjxs: ; Temperature Wd: 21, humidity Sd: 17, light intensity Gz: 16, atmospheric pressure value Qy: 4, proportion coefficients b1 = 0.41, b2 = 0.27, b3 = 0.09, b4 = 0.11, correction constant D: 0.9; Comprehensive noise coefficient Zhxs: ; Correction constant E: 0.03; e1 = 0.02, e2 = 0.03; Among them, the calculation results are all rounded to two decimal places; At this time, set the first threshold F1 to 1 and the second threshold F2 to 0. At this time, the second threshold F2 ≤ the comprehensive noise coefficient Zhxs ≤ the first threshold F1. There is no need to generate an evaluation result, and the current printing environment and printing device are suitable, so pictures can be directly collected.

[0042] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for denoising an ultrasonic image, characterized in that: The following steps are involved: S1. First, the ultrasonic monitoring module (1) sets multiple sets of sensors for the current ultrasonic equipment to collect data at each working point of the ultrasonic equipment, and the collection module (2) collects the real-time environmental data and comprehensive interference data of each working point, and establishes an environmental data set and a comprehensive interference data set; S2, then sending the collected real-time environmental data set and comprehensive interference data set to the data processing module (3), and performing analysis and calculation through the first processing unit (31) in the data processing module (3) to obtain the comprehensive interference coefficient Grxs; The interference coefficient Grxs is obtained by the following formula: Wherein, Sbxs represents the equipment coefficient, Dcxs represents the electromagnetic interference coefficient, a1 and a2 represent the proportional coefficients of the equipment coefficient Sbxs and the electromagnetic interference coefficient Dcxs, and a1+a2≠1, 0<a1<1, 0<a2<1, and the specific value is adjusted and set by the user, and A is the correction constant; S3, the interference coefficient Grxs and the environmental coefficient Hjxs obtained by the first processing unit (31) and the second processing unit (32) are correlated by the third correlation processing unit (33) to obtain a comprehensive image acquisition coefficient Zhxs; S4, the evaluation module (4) presets a first threshold value F1 and a second threshold value F2 for comparative evaluation, obtains a corresponding evaluation result, and the denoising module (5) generates a corresponding denoising process for the corresponding evaluation result, and performs a first denoising process before collection; S5. If the current comprehensive image acquisition coefficient Zhxs meets the acquisition conditions, the ultrasound device will start to acquire multiple frames of ultrasound images of the heart, and then the image processing module (6) will perform a second denoising process on the acquired images.

2. The ultrasonic image denoising method according to claim 1, characterized in that: The ultrasonic monitoring module (1) comprises an equipment monitoring unit (11) and an environment monitoring unit (12); The equipment monitoring unit (11) is used to use the first integrated sensor group and the second integrated sensor group to perform real-time monitoring of the acquisition equipment and electromagnetic interference of the ultrasonic equipment to obtain comprehensive interference data; The first integrated sensor group includes a Hall effect sensor, a radio frequency sensor and an electromagnetic induction sensor; The second integrated sensor group includes an ultrasound probe sensor, a signal quality sensor, and an image sensor; The environment monitoring unit (12) is used to use a third integrated sensor group to perform real-time monitoring of the environment near the ultrasonic device to obtain real-time environmental data; The third integrated sensor group includes a temperature sensor, a humidity sensor, a light sensor and an air pressure sensor.

3. The ultrasonic image denoising method according to claim 1, characterized in that: The acquisition module (2) comprises an interference acquisition unit (21) and an environment acquisition unit (22); The interference collection unit (21) is used to collect and summarize the comprehensive interference data monitored by the equipment monitoring unit (11) and merge them into a comprehensive interference data set, wherein the comprehensive interference data set includes an electromagnetic interference data set and an equipment data set, wherein the electromagnetic interference data set includes an electromagnetic parameter Dcz, a radio frequency Wxz and a radiation value Fsz; and the equipment data set includes a gain value Zyz, a depth value Sdz, a focus value Jdz and an image acquisition speed Cjs; The environment collection unit (22) is used to collect the real-time environmental data monitored by the environment monitoring unit (12) and aggregate them to generate an environmental data set, wherein the environmental data set includes temperature Wd, humidity Sd, light value Gz and atmospheric pressure value Qy.

4. The method for denoising an ultrasonic image according to claim 1, characterized in that: The data processing module (3) comprises a first processing unit (31), a second processing unit (32) and a third related processing unit (33); The first processing unit (31) comprises a device calculation unit (311), and the device calculation unit (311) is used to calculate and obtain the device coefficient Sbxs based on the device data set in the comprehensive interference data after dimensionless processing; The equipment coefficient Sbxs is obtained by the following formula: Wherein, c1, c2, c3 and c4 represent the proportional coefficients of the gain value Zyz, the depth value Sdz, the focus value Jdz and the image acquisition speed Cjs, wherein 0.02<c1<0.89, 0.05<c2<0.77, 0.14<c3<0.9, 0.12<c4<0.94, and the specific values ​​are adjusted and set by the user, C is the correction constant, and the meaning of the formula is that through the comprehensive calculation of the equipment coefficient Sbxs and by adjusting the parameters in the ultrasound equipment, the artifact problem caused by the beating of the heart valve during the acquisition of cardiac ultrasound images is optimized.

5. The ultrasonic image denoising method according to claim 4, characterized in that: The first processing unit (31) comprises an electromagnetic interference calculation unit (312), and the electromagnetic interference calculation unit (312) is used to obtain an electromagnetic interference coefficient Dcxs by summarizing and calculating based on the electromagnetic interference data set in the comprehensive interference data and performing dimensionless processing; The electromagnetic interference coefficient Dcxs is obtained by the following formula: Wherein, d1, d2 and d3 are the proportional coefficients of the electromagnetic parameter Dcz, the radio frequency Wxz and the radiation value Fsz, respectively, wherein 0<d1<1, 0<d2<1, 0<d3<1, and the specific values ​​are adjusted and set by the user, and D is the correction constant. The meaning of the formula is that by analyzing the interference data near the ultrasonic equipment, the influence of the current electromagnetic interference coefficient Dcxs on the noise generated during ultrasonic image acquisition can be accurately identified.

6. The method for ultrasonic image denoising according to claim 4, characterized in that: The second processing unit (32) is used to extract features based on the environmental data set in the real-time environmental data, perform dimensionless processing, and then summarize and calculate to obtain the environmental coefficient Hjxs; The environmental coefficient Hjxs is obtained by the following formula: Where b1, b2, b3 and b4 represent the proportional coefficients of temperature Wd, humidity Sd, light intensity Gz and atmospheric pressure Qy. , , , , its specific value is adjusted by the user, B is the correction constant, and the meaning of the formula is: by monitoring the working environment of the ultrasound equipment, the impact of the current environment on the image acquisition of the ultrasound equipment is analyzed.

7. The method for denoising an ultrasonic image according to claim 4, characterized in that: The third correlation processing unit (33) is used to correlate the environmental coefficient Hjxs with the comprehensive interference coefficient Grxs for calculation and analysis to obtain the comprehensive noise coefficient Zhxs; The comprehensive noise coefficient Zhxs is obtained by the following formula: In the formula, e1 and e2 represent the proportional coefficients of the environmental coefficient Hjxs and the comprehensive interference coefficient Grxs, where 0<e1<1, 0<e2<1, which specifically refers to the user adjustment setting, and E is the correction constant. The significance of the formula is that by analyzing the internal and external parameters of the ultrasonic equipment, the environmental coefficient Hjxs and the comprehensive interference coefficient Grxs are summarized for comparative analysis with the ultrasonic image acquisition conditions.

8. The method for ultrasonic image denoising according to claim 7, characterized in that: The comprehensive noise coefficient Zhxs obtained by the third correlation processing unit (33) is compared and evaluated by the first threshold value F1 and the second threshold value F2 set by the evaluation module (4), and the following evaluation result is obtained; If the comprehensive noise coefficient Zhxs> the first threshold F1, it indicates that the current ultrasound image acquisition is abnormal, and a first evaluation result is generated; If the second threshold F2≤comprehensive noise coefficient Zhxs≤the first threshold F1, it means that the current ultrasound image acquisition is normal and there is no need to generate an evaluation result; If the comprehensive noise coefficient Zhxs is less than the first threshold F2, it indicates that the current ultrasound image acquisition is abnormal, and a second evaluation result is generated.

9. The ultrasonic image denoising method according to claim 8, characterized in that: The evaluation module (4) sends the generated evaluation result to the denoising module (5), and the denoising module (5) performs a first denoising process on the acquired evaluation result. The specific optimization strategy is as follows; When the denoising module (5) receives the first evaluation result sent by the evaluation module (4), it indicates that the values ​​of the environmental coefficient Hjxs and the comprehensive interference coefficient Grxs of the current ultrasound image acquisition are both greater than 100%. At this time, it is necessary to optimize the environment and the comprehensive interference to reduce the environment and the comprehensive interference to 100%; When the denoising module (5) receives the second evaluation result sent by the evaluation module (4), it indicates that the values ​​of the environmental coefficient Hjxs and the comprehensive interference coefficient Grxs of the current ultrasound image acquisition are both less than 100%. When the ultrasound image is acquired, the image will be affected by the environment and the equipment, resulting in noise points when the ultrasound equipment acquires the image. At this time, it is necessary to optimize the environment and adjust the comprehensive interference to increase the environment and the comprehensive interference to 100%.

10. The ultrasonic image denoising method according to claim 1, characterized in that: The image processing module (6) comprises an image preprocessing unit (61) and an image denoising unit (62), which is used to perform a second denoising process on the collected ultrasound image when the second threshold F2 ≤ the comprehensive noise coefficient Zhxs ≤ the first threshold F1; The image preprocessing unit (61) is used to preprocess the ultrasound image collected by the ultrasound device, and the processing method includes color space conversion, image contrast enhancement and SIFT feature extraction; The image denoising unit (62) is used to determine the positions of the noise points and then process these positions in a targeted manner, wherein the processing method includes image filtering and total variation denoising, and denoises the ultrasonic image sent by the image preprocessing unit (61).

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