WO2022062457A1

WO2022062457A1 - Method and apparatus for determining weight values of fetal structure features

Info

Publication number: WO2022062457A1
Application number: PCT/CN2021/096819
Authority: WO
Inventors: 谢红宁; 汪南; 冼建波; 梁喆; 刘树郁
Original assignee: 广州爱孕记信息科技有限公司
Priority date: 2020-09-24
Filing date: 2021-05-28
Publication date: 2022-03-31
Also published as: CN112155603A; CN112155603B

Abstract

A method and apparatus for determining weight values of fetal structure features. Said method comprises: acquiring a weight value influence factor corresponding to at least one structure feature of a standard view of a fetal ultrasound image (101); and according to the weight value influence factor corresponding to each structure feature, determining a weight value corresponding to the structure feature, the weight values corresponding to all the structure features being used for determining the view score of the standard view of the fetal ultrasound image (102). This method can quickly acquire accurate the weight values of structure features in a standard view of a fetal ultrasound image, thereby achieving quick and accurate determination of the view score of the standard view, and then accurately determining an optimal standard view of the fetal ultrasound image; and by acquiring the weight values of a plurality of structure features in the standard view, it is beneficial for improving the acquisition accuracy of the view score of the standard view, thereby further improving the acquisition accuracy of the optimal standard view of the fetal ultrasound image, and accurately and quickly acquiring growth and development conditions of a fetus.

Description

Method and device for determining weight value of fetal structural feature

technical field

The present invention relates to the technical field of information processing, and in particular, to a method and device for determining a weight value of a fetal structural feature.

Background technique

Since the fetal development can be known from the fetal standard section, especially the optimal fetal standard section, the optimal fetal standard section becomes the key point for accurate determination of fetal growth and development. At present, the method for determining the optimal standard fetal section is as follows: by analyzing a single fetal ultrasound picture, a preliminary fetal standard section is obtained. Further, after the preliminary fetal standard section is obtained, an experienced staff member analyzes the preliminary fetal standard section, thereby Complete the final determination of the optimal standard section of the fetus.

However, practice has found that due to the determination of the preliminary fetal standard view directly from a single ultrasound image with a small amount of data and due to the limited experience and/or fatigue of the staff, this can easily lead to an accurate determination of the optimal fetal standard view. Low sex, making it impossible to accurately determine the growth and development of the fetus. Therefore, it is particularly important to obtain an accurate optimal fetal standard section so as to accurately determine the growth and development of the fetus.

SUMMARY OF THE INVENTION

The technical problem to be solved by the present invention is to provide a method and a device for determining the weight value of the fetal structural feature. By acquiring the accurate weight value of the structural feature of the fetal ultrasound image, it is beneficial to improve the slice division of the standard slice of the fetal ultrasound image. Therefore, it is beneficial to obtain an accurate and optimal fetal standard section, thereby realizing the accurate determination of fetal growth and development.

In order to solve the above technical problems, a first aspect of the present invention discloses a method for determining the weight value of fetal structural features, the method comprising:

After acquiring the standard slice of the fetal ultrasound image, acquiring a weight value impact factor corresponding to at least one structural feature of the standard slice of the fetal ultrasound image;

The weight value corresponding to each structural feature is determined according to the weight value influence factor corresponding to the structural feature, and the weight values corresponding to all the structural features are used to determine the slice score of the standard slice of the fetal ultrasound image.

As an optional implementation manner, in the first aspect of the present invention, the number of weight value influence factors corresponding to each of the structural features is greater than or equal to 1, and each of the weight value influence factors has a corresponding sub-weight value ;

And, determining the weight value corresponding to the structural feature according to the weight value influence factor corresponding to each of the structural features includes:

According to each of the weight value influence factors corresponding to each of the structural features, determine the sub-weight value corresponding to each of the weight value influence factors;

The sum of all the sub-weight values corresponding to each of the structural features is calculated as a weight value corresponding to each of the structural features.

As an optional implementation manner, in the first aspect of the present invention, the sub-weight corresponding to each of the weight value influence factors is determined according to each of the weight value influence factors corresponding to each of the structural features values, including:

For any of the structural features, when the weight value influencing factor corresponding to the structural feature includes the geometric parameter corresponding to the structural feature, the geometric parameter corresponding to the structural feature is determined according to the geometric parameter corresponding to the structural feature. The sub-weight value that matches the parameter;

For any of the structural features, when the weight value influencing factor corresponding to the structural feature includes the clarity of the structural feature, input the fetal ultrasound image corresponding to the structural feature into the determined weight value classification model for Analyze, and obtain the analysis result output by the weight value classification model as the sub-weight value corresponding to the clarity of the structural feature;

For any of the structural features, when the weight value influencing factor corresponding to the structural feature includes the integrity of the structural feature, calculate the target geometric parameter corresponding to the structural feature according to the outline of the structural feature, and Determine the sub-weight value corresponding to the integrity of the structural feature according to the target geometric parameter corresponding to the structural feature;

For any of the structural features, when the weight value influencing factor corresponding to the structural feature includes the proportion of the structural feature, it is determined that the proportion of the structural feature matches the proportion of the structural feature. The sub-weight value of , and the proportion of each structural feature is used to represent the display ratio of the structural feature to the display device where it is located.

As an optional implementation manner, in the first aspect of the present invention, determining the sub-weight value matching the geometric parameter corresponding to the structural feature according to the geometric parameter corresponding to the structural feature includes:

When the geometric parameter corresponding to the structural feature includes the geometric parameter corresponding to the contour of the structural feature, the sub-weight value corresponding to the geometric parameter corresponding to the contour of the structural feature is determined according to the geometric parameter corresponding to the contour of the structural feature, The geometric parameters corresponding to the contour of the structural feature include the size and/or area corresponding to the contour;

When the geometric parameters of the contour of the structural feature include the position of the structural feature in the standard section, the relative positional relationship between the midline of the brain corresponding to the structural feature and the area enclosed by the contour of the structural feature is determined to determine the The sub-weight value corresponding to the position of the structural feature in the standard section.

As an optional implementation manner, in the first aspect of the present invention, the structural feature is determined based on the relative positional relationship between the midline of the brain corresponding to the structural feature and the area enclosed by the contour of the structural feature. The sub-weight value corresponding to the position of the standard slice, including:

When there is an intersection between the midline of the brain corresponding to the structural feature and the area enclosed by the contour of the structural feature, determine the situation of the intersection between the outline of the structural feature and the midline of the brain, and based on the situation of the intersection Determine the sub-weight value corresponding to the position of the structural feature in the standard section, and the intersection situation includes the position and/or the number of intersections between the contour of the structural feature and the midline of the brain;

When there is no intersection between the midline of the brain corresponding to the structural feature and the area enclosed by the contour of the structural feature, determine the distance value between the midline of the brain corresponding to the structural feature and the contour of the structural feature, and use The distance value determines the sub-weight value corresponding to the position of the structural feature in the standard section.

As an optional implementation manner, in the first aspect of the present invention, calculating the target geometric parameter corresponding to the structural feature according to the outline of the structural feature includes:

Calculate the length of the outline of the structural feature as the target geometric parameter corresponding to the structural feature; and/or,

Determine the center point corresponding to the contour of the structural feature, and determine the center angle corresponding to the contour of the structural feature based on the center point corresponding to the contour of the structural feature and the contour of the structural feature, as the corresponding center angle of the structural feature. target geometry; and/or,

Fitting the contour of the structural feature based on the determined fitting method to obtain the target contour of the structural feature;

Calculate the length of the contour of the overlapping portion of the contour of the structural feature and the target contour of the structural feature, as the target geometric parameter corresponding to the structural feature, and/or, determine the center point corresponding to the target contour of the structural feature, and Based on the center point corresponding to the target contour of the structural feature and the overlapping portion contour, the center angle corresponding to the overlapping portion contour is determined as the target geometric parameter corresponding to the structural feature.

As a kind of optional embodiment, in the first aspect of the present invention, described according to the geometrical parameter corresponding to the outline of the described structural feature, determine the sub-weight value corresponding to the geometrical parameter corresponding to the outline of the described structural feature, including:

When the geometric parameter corresponding to the contour of the structural feature includes the size corresponding to the contour, determine the direction of the size corresponding to the contour of the structural feature on the standard section, and according to the size corresponding to the contour of the structural feature The direction on the standard slice and the direction of the ultrasonic virtual beam on the standard slice determine the size corresponding to the contour of the structural feature and the angle formed by the ultrasonic virtual beam, and determine the angle corresponding to the angle according to the size of the angle The subweight value of .

As an optional implementation manner, in the first aspect of the present invention, after determining the weight value corresponding to the structural feature according to the weight value influence factor corresponding to each of the structural features, the method includes:

Perform a correction operation on the weight values corresponding to all the structural features;

The weight value corresponding to each of the structural features after performing the correction operation is updated to the weight value corresponding to each of the structural features.

As an optional implementation manner, in the first aspect of the present invention, the method further includes:

obtaining characteristic parameters of each of the structural features of the standard section;

And, after determining the weight value corresponding to the structural feature according to the weight value influence factor corresponding to each of the structural features, the method further includes:

Based on the weight value corresponding to each structural feature of the standard slice and the characteristic parameter of the structural feature, the slice score of the standard slice of the fetal ultrasound image is calculated.

A second aspect of the present invention discloses an apparatus for determining a weight value of a fetal structural feature, the apparatus comprising:

an acquisition module, configured to acquire a weight value influence factor corresponding to at least one structural feature of the standard slice of the fetal ultrasound image after acquiring the standard slice of the fetal ultrasound image;

The determination module is used to determine the corresponding weight value of the structural feature according to the weight value influence factor corresponding to each of the structural features, and the corresponding weight values of all the structural features are used to determine the section score of the standard section of the fetal ultrasound image. value.

As an optional implementation manner, in the second aspect of the present invention, the number of weight value influence factors corresponding to each of the structural features is greater than or equal to 1, and each of the weight value influence factors has a corresponding sub-weight value ;

And, the determining module includes a determining sub-module and a calculating sub-module, wherein:

The determining sub-module is configured to determine the sub-weight value corresponding to each of the weight value influence factors according to each of the weight value influence factors corresponding to each of the structural features;

The calculation sub-module is configured to calculate the sum of all the sub-weight values corresponding to each of the structural features as the weight value corresponding to each of the structural features.

As an optional implementation manner, in the second aspect of the present invention, the determining submodule determines the corresponding weight value influencing factor according to each weight value influencing factor corresponding to each structural feature The way of the sub-weight value of is as follows:

As an optional implementation manner, in the second aspect of the present invention, the determining submodule determines a sub-weight value matching the geometric parameter corresponding to the structural feature according to the geometric parameter corresponding to the structural feature. Specifically:

As an optional implementation manner, in the second aspect of the present invention, the determining submodule determines the The specific method of sub-weight value corresponding to the position of the structural feature in the standard section is as follows:

As an optional implementation manner, in the second aspect of the present invention, the method for calculating the target geometric parameter corresponding to the structural feature by the determining submodule according to the outline of the structural feature is specifically:

As an optional implementation manner, in the second aspect of the present invention, the determining submodule determines the sub-weight value corresponding to the geometric parameter corresponding to the contour of the structural feature according to the geometric parameter corresponding to the contour of the structural feature The method is specifically:

As an optional implementation manner, in the second aspect of the present invention, the device further includes:

a preprocessing module, configured to perform a correction operation on the weight values corresponding to all the structural features after the determining module determines the weight value corresponding to the structural feature according to the weight value influence factor corresponding to each of the structural features;

An update module, configured to update the weight value corresponding to each of the structural features after the correction operation is performed to the weight value corresponding to each of the structural features.

As an optional implementation manner, in the second aspect of the present invention, the acquiring module is further configured to acquire feature parameters of each of the structural features of the standard section;

And, the device also includes:

The calculation module is configured to, after the determination module determines the weight value corresponding to the structural feature according to the weight value influence factor corresponding to each of the structural features, the weight value corresponding to each of the structural features based on the standard section and For the characteristic parameter of the structural feature, the slice score of the standard slice of the fetal ultrasound image is calculated.

A third aspect of the present invention discloses another weight value determination device for fetal structural features, the determination device comprising:

a memory in which executable program code is stored;

a processor coupled to the memory;

The processor invokes the executable program code stored in the memory to execute the method for determining the weight value of the fetal structural feature disclosed in the first aspect of the present invention.

A fourth aspect of the present invention discloses a computer storage medium, the computer storage medium stores computer instructions, and when the computer instructions are invoked, is used to execute the weight value determination method for fetal structural features disclosed in the first aspect of the present invention.

Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

In an embodiment of the present invention, a method and device for determining a weight value of a fetal structural feature are provided. The method includes acquiring a weight corresponding to at least one structural feature of the standard slice of the fetal ultrasound image after acquiring the standard slice of the fetal ultrasound image. Value influence factor; according to the weight value influence factor corresponding to each structural feature, the corresponding weight value of the structural feature is determined, and the corresponding weight values of all structural features are used to determine the slice score of the standard slice of the fetal ultrasound image. It can be seen that the implementation of the present invention can automatically determine the weight value influencing factor corresponding to the structural feature in the standard section of the fetal ultrasound image, and can determine the weight value of the structural feature in the standard section according to the weight value influencing factor, without manual analysis, and can quickly obtain accurate information. The weight value of the structural features in the standard section of the fetal ultrasound image, so as to realize the rapid and accurate determination of the section score of the standard section of the fetal ultrasound image, and then accurately determine the optimal standard section of the fetal ultrasound image; The weight values of multiple structural features in the standard slice are beneficial to further improve the accuracy of the slice score of the standard slice of the fetal ultrasound image, and to further improve the accuracy of the optimal standard slice of the fetal ultrasound image, so as to achieve accurate And quickly obtain fetal growth and development.

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings used in the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained from these drawings without creative effort.

1 is a schematic flowchart of a method for determining a weight value of a fetal structural feature disclosed in an embodiment of the present invention;

2 is a schematic flowchart of another method for determining a weight value of a fetal structural feature disclosed in an embodiment of the present invention;

3 is a schematic structural diagram of an apparatus for determining a weight value of a fetal structural feature disclosed in an embodiment of the present invention;

4 is a schematic structural diagram of another device for determining a weight value of a fetal structural feature disclosed in an embodiment of the present invention;

FIG. 5 is a schematic structural diagram of another device for determining a weight value of a fetal structural feature disclosed in an embodiment of the present invention.

detailed description

In order to make those skilled in the art 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 with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only These are some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

The terms "first", "second" and the like in the description and claims of the present invention and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally also includes For other steps or units inherent to these processes, methods, products or devices.

Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor a separate or alternative embodiment that is mutually exclusive of other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

The invention discloses a method and a device for determining the weight value of a fetal structural feature, which can determine the weight value of the structural feature in a standard slice according to the weight value influence factor, without manual analysis, and can quickly obtain an accurate fetal ultrasound image in the standard slice. The weight value of the feature, so as to realize the rapid and accurate determination of the slice score of the standard slice of the fetal ultrasound image, and then accurately determine the optimal standard slice of the fetal ultrasound image; and by obtaining the standard slice of the fetal ultrasound image. The weight value is beneficial to further improve the accuracy of obtaining the slice score of the standard slice of the fetal ultrasound image, and is beneficial to further improve the accuracy of obtaining the optimal standard slice of the fetal ultrasound image, so as to achieve accurate and rapid acquisition of fetal growth and development. . Each of them will be described in detail below.

Example 1

Please refer to FIG. 1. FIG. 1 is a schematic flowchart of a method for determining a weight value of a fetal structural feature disclosed in an embodiment of the present invention. Wherein, the method for determining the weight value of fetal structural features described in FIG. 1 can be applied to any server (service device or service system) with the function of determining the weight value, wherein the server can include a local server or a cloud server, the present invention The embodiment is not limited. As shown in FIG. 1 , the method for determining the weight value of the fetal structural feature may include the following operations:

101. After acquiring the standard slice of the fetal ultrasound image, acquire a weight value influencing factor corresponding to at least one structural feature of the standard slice of the fetal ultrasound image.

In this embodiment of the present invention, the weight value influencing factor corresponding to each structural feature may include at least one of the geometric parameter corresponding to the structural feature, the clarity of the structural feature, the integrity of the structural feature, and the proportion of the structural feature The geometric parameter corresponding to each structural feature includes the geometric parameter corresponding to the contour of the structural feature and/or the position of the structural feature in the standard section, wherein the geometric parameter corresponding to the contour of each structural feature includes the contour corresponding size and/or area. In this way, the more influence factors of the weight value corresponding to the structural feature, the more favorable it is to improve the accuracy and reliability of the determination of the weight value corresponding to the structural feature.

102. Determine the weight value corresponding to each structural feature according to the weight value influence factor corresponding to the structural feature, and the weight values corresponding to all structural features are used to determine the slice score of the standard slice of the fetal ultrasound image.

In the embodiment of the present invention, optionally, the number of weight value influencing factors corresponding to each structural feature is greater than or equal to 1, and each weight value influencing factor has a corresponding sub-weight value.

As an optional implementation manner, the weight value corresponding to each structural feature is determined according to the weight value influence factor corresponding to the structural feature, including:

According to each weight value influencing factor corresponding to each structural feature, determine the sub-weight value corresponding to each weight value influencing factor;

Calculate the sum of all sub-weight values corresponding to each structural feature as the weight value corresponding to each structural feature.

In this optional embodiment, each structural feature has a corresponding key weight value influencing factor, and it should be noted that the key weight value influencing factors corresponding to different structural features may be the same or different. For example, the key weight value influencing factors of the skull halo structure feature include the size of the head circumference corresponding to the outline of the skull halo structure feature, the integrity of the skull halo structure feature, and the distance between the area enclosed by the skull halo structure feature and the midline of the brain. Relative position; the key weight value influencing factors of the femoral structural feature include the length corresponding to the contour of the femoral structural feature, the area enclosed by the contour of the femoral structural feature, and the relative position of the area enclosed by the contour of the femoral structural feature to the midline of the brain. Among them, the more critical the influence factor of the weight value of the structural feature is, the higher the corresponding weight value is, that is, the more accurate the slice score of the standard slice is obtained. That is, the weight value corresponding to each structural feature can be obtained only by calculating the sub-weight value of the influence factor of the key weight value corresponding to each structural feature, which can ensure that the accurate weight value of the structural feature can be obtained. It can improve the calculation efficiency of the weight value of structural features, thereby improving the calculation accuracy and efficiency of the slice score of the standard slice, thereby improving the accuracy and efficiency of determining the optimal standard slice of the fetal ultrasound image.

It can be seen that in this optional implementation, the weight value influencing factor corresponding to each structural feature is determined in a targeted manner, and the sub-weight value corresponding to all the weight value influencing factors is determined as the weight value corresponding to the structural feature, which can improve the structural feature. The calculation accuracy of the weight value can improve the calculation accuracy of the section score corresponding to the standard section, thereby improving the determination accuracy of the optimal standard section.

In this further optional embodiment, optionally, according to each weight value influence factor corresponding to each structural feature, determining the sub-weight value corresponding to each weight value influence factor may include:

For any structural feature, when the weight value influencing factor corresponding to the structural feature includes the geometric parameter corresponding to the structural feature, determine the sub-weight value matching the geometric parameter corresponding to the structural feature according to the geometric parameter corresponding to the structural feature;

For any structural feature, when the weight value influencing factor corresponding to the structural feature includes the clarity of the structural feature, input the fetal ultrasound image corresponding to the structural feature into the determined weight value classification model for analysis, and obtain the weight value classification model The output analysis result is used as the sub-weight value corresponding to the clarity of the structural feature;

For any structural feature, when the weight value influencing factor corresponding to the structural feature includes the integrity of the structural feature, calculate the target geometric parameters corresponding to the structural feature according to the outline of the structural feature, and determine the target geometric parameters corresponding to the structural feature according to the structural feature. The sub-weight value corresponding to the integrity of the structural feature;

For any structural feature, when the influence factor of the weight value corresponding to the structural feature includes the proportion of the structural feature, the sub-weight value matching the proportion of the structural feature is determined according to the proportion of the structural feature. The ratio is used to represent the display ratio between the structural feature and the display device where it is located.

In this optional implementation manner, optionally, by calculating the area enclosed by the contour of the structural feature and/or the distance value between the two farthest endpoints on the contour of the structural feature, calculate the ratio, which can improve the calculation accuracy and reliability of the ratio of structural features. The area enclosed by the outline of the structural feature is preferentially selected to calculate the proportion of the structural feature. For example, if the area enclosed by the outline of the structural feature of the left atrium accounts for one-seventh of the area of the display screen, then the proportion of the structural feature of the left atrium The corresponding sub-weight value is 0.8.

In this further optional embodiment, optionally, according to the geometric parameter corresponding to the structural feature, determine the sub-weight value that matches the geometric parameter corresponding to the structural feature, including:

When the geometric parameter corresponding to the structural feature includes the geometric parameter corresponding to the contour of the structural feature, the sub-weight value corresponding to the geometric parameter corresponding to the contour of the structural feature is determined according to the geometric parameter corresponding to the contour of the structural feature. The geometric parameters include the size and/or area corresponding to the contour;

When the geometric parameters of the contour of the structural feature include the position of the structural feature in the standard section, based on the relative positional relationship between the midline of the brain corresponding to the structural feature and the area enclosed by the contour of the structural feature, the standard section where the structural feature is located is determined. The sub-weight value corresponding to the position of .

In this further optional embodiment, the size of the contour of the structural feature may include the perimeter of the contour of the structural feature and/or the length corresponding to the contour of the structural feature (eg, the length of the humerus structural feature).

In this further optional embodiment, optionally, after obtaining the geometric parameters of the contour of the structural feature, it is further judged whether the geometric parameters of the contour of the structural feature are within the geometric parameters corresponding to the gestational age of the determined fetal ultrasound image. Within the parameter range, when it is judged that it is not within the corresponding geometric parameter range, multiply the sub-weight value corresponding to the geometric parameter of the outline of the structural feature by the determined weight correction coefficient (for example: 0.8) to obtain the corrected weight. Subweight value. For example: if the gestational age of the current fetus is the 20th week, and the femur length of the fetus corresponding to the 20th week is normally 10cm-15cm, when the determined length of the femoral structural feature is 13cm, the calculated subweight value ( 0.7) remains unchanged. When the length of the femoral structural feature is 8 cm or 20 cm, the calculated sub-weight value (0.7) is multiplied by the weight correction coefficient (0.9) to obtain the corrected sub-weight value (0.63). Among them, the higher the weight value, the more obvious the corresponding structural feature. In this way, by performing a correction operation on the sub-weight values corresponding to the geometric parameters of the structural features that are not within the normal parameter range corresponding to the gestational age, the calculation accuracy of the weight values corresponding to the structural features can be improved, thereby improving the section score of the corresponding standard section. The calculation accuracy of the value.

In this further optional embodiment, optionally, when it is determined to be within the corresponding geometric parameter range, triggering the execution of the above calculation of the sum of all sub-weight values corresponding to each structural feature, as each structural feature The operation of the corresponding weight value, or, when the structural feature has not completed the calculation of the sub-weight value corresponding to the other weight value influencing factors, continue to calculate the sub-weight value corresponding to the other weight value influencing factors of the structural feature, and complete all the sub-weight values. After the required weight value influence factor is calculated, the above operation of calculating the sum of all sub-weight values corresponding to each structural feature is triggered as the weight value corresponding to each structural feature. For example, the calculation of the length corresponding to the contour of the femoral structural feature and the sub-weight value corresponding to the area (area) enclosed by the contour of the femoral structural feature is completed, and the relative relationship between the area surrounded by the contour of the femoral structural feature and the midline of the brain is not completed. The calculation of the sub-weight value corresponding to the position, then continue to perform the calculation of the sub-weight value corresponding to the relative position of the area surrounded by the outline of the femoral structural feature and the midline of the brain, so as to ensure that all the sub-weight values corresponding to the required weight value influence factors are completed. The calculation of the weight value can further improve the calculation accuracy of the weight value corresponding to the structural feature.

In this further optional embodiment, when the geometric parameter corresponding to the contour of the structural feature includes the size corresponding to the contour, the sub-weight corresponding to the geometric parameter corresponding to the contour of the structural feature is determined according to the geometric parameter corresponding to the contour of the structural feature values, including:

Determine the direction of the dimension corresponding to the contour of the structural feature on the standard cut plane, and determine the contour corresponding to the structural feature according to the direction of the dimension corresponding to the contour of the structural feature on the standard cut plane and the direction of the ultrasonic virtual beam on the standard cut plane. The angle formed by the size and the ultrasonic virtual beam, and the sub-weight value corresponding to the angle is determined according to the size of the angle.

In this optional implementation manner, the sub-weight value corresponding to the angle is determined according to the size of the angle. Specifically, the angle range where the size of the angle is located is determined, and the weight value corresponding to the angle range is determined as the sub-weight value corresponding to the angle. value, or, according to the linear relationship between the weight value and the angle, determine the sub-weight value corresponding to the angle.

In this optional implementation manner, the linear relationship between the weight value and the angle is expressed as follows:

y=a*x+k;

In the formula, y represents the sub-weight value corresponding to the angle, x represents the angle, a represents a constant, such as: 0.04, k represents the sub-weight value corresponding to the angle when the dimension corresponding to the contour of the structural feature is parallel to the ultrasonic virtual beam, for example: 0.01.

In this optional embodiment, the dimensions corresponding to the outline of the structural feature include the long side of the humerus structural feature, the long side of the femoral structural feature, the midline of the cranial structural feature (the long axis of the ellipse of the cranial structural feature), the back of the neck One of the long sides of the gap of the transparent layer, etc., the optional implementation manner is not limited. Further optionally, there are corresponding methods for determining the priority angle weight value for different structural features. For example: the long side of the humerus structural feature and the long side of the femur structural feature are preferentially selected by the weight value-angle linear relationship determination method to determine the sub-weight value corresponding to the angle, another example: the brain midline of the skull structural feature is preferentially selected. The angle range determination method Determine the sub-weight value corresponding to the angle. This is beneficial to improve the accuracy and efficiency of obtaining the sub-weight values corresponding to the angles of the structural features, thereby further improving the accuracy, reliability and efficiency of the weight values of the structural features.

For example, when the dimension corresponding to the outline of the structural feature is the long side of the humerus structural feature, the long side of the humerus structural feature (or the femoral structural feature) and the ultrasonic wave are determined according to the long side direction of the humeral structural feature and the ultrasonic virtual beam direction. The angle formed by the virtual beam, and the angle is 80°, at this time, 80° is in the range of 45°~90°, and the weight value corresponding to 45°~90° is 1, then the sub-weight value corresponding to the 80° angle is 1, or, according to the linear relationship between the weight value and the angle, the sub-weight value corresponding to an angle of 80° is determined to be 0.8.

In this optional implementation manner, optionally, the size corresponding to the contour of the structural feature may be determined by combining the angle formed by the ultrasonic virtual beam with the size corresponding to the contour of the structural feature to determine the size corresponding to the contour of the structural feature The subweight value of .

It can be seen that this optional embodiment can realize the determination of the sub-weight value of the angle corresponding to the structural feature through the angle formed by the size corresponding to the contour of the structural feature and the ultrasonic virtual beam, and improve the sub-weight value of the angle corresponding to the structural feature. The accuracy and efficiency are determined, so as to further improve the accuracy, reliability and efficiency of the weight value of the structural feature.

In this further optional embodiment, optionally, based on the relative positional relationship between the midline of the brain corresponding to the structural feature and the area enclosed by the contour of the structural feature, determine the sub-subsection corresponding to the position of the structural feature in the standard section. Weight value, which can include:

When there is an intersection between the midline of the brain corresponding to the structural feature and the area enclosed by the contour of the structural feature, determine the intersection between the contour of the structural feature and the midline of the brain, and determine the position of the structural feature in the standard section according to the intersection. The sub-weight value corresponding to the position, the intersection situation includes the intersection position and/or the number of intersections between the outline of the structural feature and the midline of the brain;

When there is no intersection between the midline of the brain corresponding to the structural feature and the area enclosed by the contour of the structural feature, determine the distance value between the midline of the brain corresponding to the structural feature and the contour of the structural feature, and determine according to the distance value The sub-weight value corresponding to the position of the structural feature in the standard section.

In this further optional embodiment, optionally, the sub-weight value corresponding to the position of the structural feature at the standard tangent plane is determined according to the intersection situation, specifically: when the position of the intersection between the contour of the structural feature and the midline of the brain is determined When the position of the structural feature is within the range of the out-of-range position, the sub-weight value corresponding to the position of the standard section of the structural feature is determined as the first sub-weight value; when the number of intersections between the contour of the structural feature and the midline of the brain is equal to 1, the structural feature is determined. The sub-weight value corresponding to the position of the standard section is the second sub-weight value; when the position of the intersection point between the contour of the structural feature and the midline of the brain is within the determined position range and the number of intersection points is equal to 1 or the contour of the structural feature and the brain When the number of intersections between the midlines is greater than 1, the sub-weight value corresponding to the position of the structural feature in the standard section is determined as the third sub-weight value; when the position of the intersection between the contour of the structural feature and the midline of the brain is the determined position Within the range and the number of intersection points is greater than 1, determine the sub-weight value corresponding to the position of the standard section where the structural feature is located is the fourth sub-weight value, wherein the first sub-weight value, the second sub-weight value, and the third sub-weight value are And the fourth sub-weight value increases sequentially. In this way, by determining different sub-weight values according to the different relative positional relationships between the brain midline corresponding to the structural feature and the area enclosed by the contour of the structural feature, the accuracy of the determination of the sub-weight value can be improved, thereby further improving the corresponding structural feature. The calculation accuracy of the weight value of .

In this further optional embodiment, optionally, the sub-weight value corresponding to the position of the structural feature in the standard section is determined according to the distance value, specifically: when the midline of the brain corresponding to the structural feature and the contour of the structural feature are When the distance value is within the predetermined distance value range, the sub-weight value corresponding to the position of the standard section of the structural feature is determined to be the fifth sub-weight value; when the midline of the brain corresponding to the structural feature and the contour of the structural feature When the distance value between them is greater than the maximum distance value in the predetermined distance value range, it is determined that the sub-weight value corresponding to the position of the standard section of the structural feature is the sixth sub-weight value, and the sixth sub-weight value is greater than the sixth sub-weight value. Five sub weights. For example: when there is an intersection point between the midline and the outline of the midline capsule structure feature, the sub-weight value is 0.8, and when there are two intersection points, the sub-weight value is 1, which means that the midline capsule structure feature does not deviate Brain midline; when there is no intersection between the outline of the midline capsule structure feature and the midline, and the deviation distance is 1mm, the sub-weight value is 0.6; when the deviation distance is 5mm, the sub-weight value is 0.

It should be noted that the fifth sub-weight value, the sixth sub-weight value, the first sub-weight value, the second sub-weight value, the third sub-weight value and the fourth sub-weight value increase in sequence.

In this optional embodiment, when there are multiple weight value influencing factors corresponding to the structural feature, the weight value of the corresponding structural feature is equal to the sum of the sub-weight values corresponding to each weight value influencing factor. For example: the weight value of the femoral structural feature of the femur measurement section. The influencing factors include the length corresponding to the outline of the femoral structural feature, the area enclosed by the outline of the femoral structural feature, and the relative distance between the area enclosed by the outline of the femoral structural feature and the midline of the brain. position, and the sub-weight value of the length corresponding to the contour of the femoral structural feature is 0.7, the sub-weight value corresponding to the area surrounded by the contour of the femoral structural feature is 0.6, and the area surrounded by the contour of the femoral structural feature and the midline of the brain The sub-weight value corresponding to the relative position is 0.8, and the weight value of the femoral structural feature is 0.7+0.6+0.8=2.1.

It can be seen that this optional embodiment can not only realize the acquisition of the sub-weight value corresponding to the weight value influencing factor, but also improve the acquisition efficiency of the sub-weight value by selecting the corresponding sub-weight value determination method according to different weight value influencing factors. and accuracy, thereby improving the calculation accuracy and efficiency of the weight value corresponding to the structural feature, thereby improving the calculation accuracy and efficiency of the section score corresponding to the standard section.

In this further optional embodiment, and further optional, according to the outline of the structural feature, calculate the target geometric parameters corresponding to the structural feature, including:

Calculate the length of the contour of the structural feature as the target geometric parameter corresponding to the structural feature; and/or,

Determine the center point corresponding to the contour of the structural feature, and determine the center angle corresponding to the contour of the structural feature based on the center point corresponding to the contour of the structural feature and the contour of the structural feature, as the target geometric parameter corresponding to the structural feature; and/or,

Calculate the length of the contour of the overlapping portion of the contour of the structural feature and the target contour of the structural feature, as the target geometric parameter corresponding to the structural feature, and/or, determine the center point corresponding to the target contour of the structural feature, and based on the target contour of the structural feature. The corresponding center point and the contour of the overlapping part are determined, and the center angle corresponding to the contour of the structural feature is determined as the target geometric parameter corresponding to the structural feature.

In this optional embodiment, optionally, there are multiple nodes on the contour of each structural feature, and the contour of the structural feature is fitted based on the determined fitting method to obtain the target contour of the structural feature, which may include:

Obtain the arc radius corresponding to the contour of the structural feature;

When the arc radius corresponding to the contour of the structural feature is greater than or equal to the determined arc radius threshold (for example: 5mm), select a preset number (for example: 50, etc.) target nodes from all the nodes corresponding to the structural feature, And connect all the target nodes corresponding to the structural feature in turn according to the way that every two adjacent nodes are connected to obtain the target contour of the structural feature;

When the arc radius corresponding to the contour of the structural feature is not greater than or equal to the determined arc radius threshold, all nodes corresponding to the structural feature are sequentially connected in the manner of connecting each adjacent node to obtain the target contour of the structural feature.

In this optional implementation manner, when the contour of the structural feature has multiple arcs and/or the curvature of the contour is greater than or equal to the determined curvature threshold, the contour of the structural feature is segmented to perform a fitting operation. Specifically: when there are multiple arcs in the contour of the structural feature, a fitting operation will be performed on each of the multiple arcs of the structural feature; when the curvature of the contour of the structural feature is greater than or equal to the curvature threshold, the The contour of the structural feature is divided into multiple segments at equal or unequal intervals, and the fitting operation is performed on each segment of the contour separately. In this way, when the contour of the structural feature has multiple arcs and/or the curvature of the contour is relatively large, by performing the fitting operation on the contour segment of the structural feature, the fitting efficiency and accuracy of the contour of the structural feature can be improved, so that there is a It is beneficial to further improve the measurement accuracy and reliability of the target geometric parameters of the structural features of the fetal ultrasound image.

In this optional embodiment, it is also possible to perform a fitting operation on the contour of each structural feature based on the determined B (B-spline Curves) spline curve fitting method and/or ellipse fitting method, to obtain the target outline.

It can be seen that this optional embodiment can not only realize the fitting of structural features, but also improve the fitting efficiency and accuracy of structural features by selecting different fitting methods according to the size of the arc radius of the structural features of the fetal ultrasound image. , thereby improving the calculation accuracy of the target geometric parameters of the structural feature, thereby further improving the calculation accuracy of the weight value corresponding to the structural feature.

In this further optional embodiment, after calculating the length of the contour of the overlapping portion of the contour of the structural feature and the target contour of the structural feature as the target geometric parameter corresponding to the structural feature, the method further includes:

Calculate the ratio of the length of the overlapping part contour of the target contour of the structural feature to the perimeter of the target contour, and update the target geometric parameter corresponding to the structural feature to the ratio. Among them, different ratios correspond to different sub-weight values. For example, when the ratio is greater than or equal to 0.8, the corresponding sub-weight value is 1; when the ratio is less than 0.8, the corresponding sub-weight value is 0.8. In this way, by updating the target geometric parameter corresponding to the structural feature to the ratio of the length of the overlapping portion of the target contour of the structural feature to the perimeter of the target contour, it is beneficial to improve the accuracy of the determination of the sub-weight value, thereby improving the weight value of the structural feature. calculation accuracy.

In this further optional embodiment, after determining the central angle corresponding to the contour of the structural feature as the geometric parameter corresponding to the structural feature, the method further includes:

Calculate the ratio of the central angle corresponding to the contour of the structural feature to the 360° central angle, and update the geometric parameter corresponding to the structural feature to the ratio of the central angle corresponding to the contour of the structural feature to the 360° central angle.

It can be seen that this optional embodiment can enrich the acquisition methods of the target geometric parameters corresponding to the structural features by providing multiple ways to determine the target geometric parameters corresponding to the structural features, and improve the acquisition possibility of the target geometric parameters corresponding to the structural features; and by One or a combination of the length of the contour of the structural feature, the central angle corresponding to the contour of the structural feature, the length of the contour of the overlapping portion of the contour of the structural feature and the fitted contour, and the central angle corresponding to the contour of the overlapping portion are used as the structural feature. The corresponding target geometric parameters can improve the acquisition accuracy of the target geometric parameters corresponding to the structural features, thereby improving the calculation accuracy of the weight values corresponding to the structural features.

In an optional embodiment, before performing step 101, the method for determining the weight value of the fetal structural feature may further include the following operations:

Input the acquired fetal ultrasound image into the pre-determined feature detection model for analysis;

Obtain the analysis result output by the feature detection model as the feature information of the fetal ultrasound image. The feature information of the fetal ultrasound image includes the part feature information of the fetal ultrasound image and the structural feature information of the fetal ultrasound image. The part feature information of the fetal ultrasound image is at least Including the category of the part feature of the fetal ultrasound image, the structural feature information of the fetal ultrasound image at least includes the category of the structural feature of the fetal ultrasound image, and the structural feature of the fetal ultrasound image at least includes the key structural feature of the fetal ultrasound image;

The standard slice of the fetal ultrasound image is determined according to the category of the part feature of the fetal ultrasound image and the category of the structural feature of the fetal ultrasound image, and the execution of step 101 is triggered.

In this optional embodiment, the fetal ultrasound image may be a single-frame fetal ultrasound image, or may be continuous or non-consecutive multiple-frame fetal ultrasound images. The frame rate is input into the feature detection model, wherein the predetermined frame rate is related to the structural characteristics of the standard section of the fetal ultrasound image to be acquired, that is, the frame is selected according to the structural characteristics of the standard section of the fetal ultrasound image to be acquired. For example, if you need to acquire the structural features of the gastric bubble in the abdominal circumference view, the frame rate can be 30 frames/second; if you need to obtain the structural features of the left atrium in the four-chamber view, the frame rate can be 60 frames. /Second. In this way, the corresponding frame rate is selected according to the structural features of the standard section of the fetal ultrasound image to be acquired, which is beneficial to improve the acquisition efficiency and accuracy of the structural features of the standard section of the desired fetal ultrasound image, thereby improving the weight value corresponding to the structural features. acquisition efficiency and accuracy.

In this optional embodiment, each frame of fetal ultrasound image has a unique corresponding identifier, such as a frame serial number. In this way, by setting a unique identifier for each frame of fetal ultrasound image, the structural features of the standard section of each frame of fetal ultrasound image can be clearly distinguished in the process of acquiring the structural features of the standard section of the fetal ultrasound image, such as: checked structural features, Abnormal structural features, etc., as well as information management of the structural features of fetal ultrasound images and their standard slices, such as: preservation of the weight values of structural features.

In this optional embodiment, the feature detection model may include at least one of a determined target detection model, an instance segmentation model, and a semantic segmentation model, which can obtain part feature information and structural feature information of the fetal ultrasound image.

It can be seen that this optional embodiment determines the standard section of the fetal ultrasound image by acquiring the site features and structural features of the fetal ultrasound image, and combining the site features and structural features of the fetal ultrasound image, and does not need to manually participate in the standard view of the fetal ultrasound image. It can improve the accuracy of determining the standard section of the fetal ultrasound image; and by inputting the fetal ultrasound image into the feature detection model for analysis, it can also improve the efficiency of determining the standard section of the fetal ultrasound image, which is conducive to realizing the weight value of structural features accurate and fast access.

In the embodiment of the present invention, further optionally, the standard slice of the fetal ultrasound image sent by the authorized terminal device can also be received, or the standard slice of the fetal ultrasound image is stored in the memory of the server of this solution, so as to realize the fetal ultrasound image. Obtaining standard slices. In this way, the standard slices of fetal ultrasound images can be obtained through various methods, which can enrich the ways of obtaining standard slices, improve the possibility of obtaining standard slices, and further improve the efficiency of obtaining weight values corresponding to structural features of standard slices.

In another optional embodiment, after performing step 102, the method for determining the weight value of the fetal structural feature may also include the following operations:

Based on the weight value corresponding to each structural feature of the standard slice of the fetal ultrasound image and the acquired characteristic parameters of the structural feature, the slice score of the standard slice of the fetal ultrasound image is calculated.

In this optional embodiment, at least one structural feature in the standard slice of the fetal ultrasound image includes at least a key structural feature (also known as a basic structural feature or a main structural feature) of the standard slice, and further, may also include in addition to key structural features other structural features than features. For example, the standard view of the thalamus includes at least one key structural feature of the septum pellucidum, the thalamus and the lateral ventricle, and further, the standard view of the thalamus may also include at least one other structural feature of the choroid and the sylvian fissure. In this way, the more structural features in the standard section, the more conducive to improving the calculation accuracy and reliability of the section score of the standard section, thereby improving the accuracy and reliability of determining the optimal standard section. Among them, the key structural feature of each standard slice is the structural feature that can represent the standard slice, that is, when the key structural feature of the fetal ultrasound image is obtained, the slice score of the standard slice can be determined by calculating the weight value of the key structural feature . In this way, the slice score of the standard slice of the fetal ultrasound image can be directly determined by the weight value of the key structural feature of the standard slice, which can improve the efficiency of obtaining the score of the standard slice while ensuring the acquisition of the accurate slice score of the standard slice.

It can be seen that in this optional embodiment, after obtaining the weight value of the structural feature of the standard slice of the fetal ultrasound image, it further combines the characteristic parameters of the structural feature of the standard slice to realize the automatic calculation of the slice score of the standard slice, and improve the standard slice. The calculation accuracy and efficiency of the slice score.

In this optional embodiment, optionally, the feature parameters of the structural feature of the standard slice of the fetal ultrasound image may include the structural feature category probability and the position probability, and each structural feature based on the standard slice of the fetal ultrasound image The corresponding weight value and the acquired characteristic parameters of the structural feature, to calculate the slice score of the standard slice of the fetal ultrasound image, may include:

Based on the weight value corresponding to each structural feature of the standard section of the fetal ultrasound image, the category probability of the structural feature, and the position probability of the structural feature, the structural score corresponding to each structural feature of the standard section of the fetal ultrasound image is calculated;

The sum of the structural scores corresponding to all structural features of the standard slice of the fetal ultrasound image is calculated as the slice score of the standard slice of the fetal ultrasound image.

In this optional embodiment, the calculation formula of the slice score of the standard slice of the fetal ultrasound image is as follows:

H _i =P _i ×Q _i ×O _i ;

In the formula, S is the section score of the standard section, H _i is the structural score of the ith structural feature in the standard section, M is the total number of structural features in the standard section, and P _i is the ith structural feature in the standard section. The category probability (also known as confidence) of , Q _i is the position probability of the ith structural feature in the standard section, O _i is the weight value of the ith structural feature in the standard section, N is the weight value of the ith structural feature The total number of influencing factors, O _ij is the sub-weight value corresponding to the j-th weight value influencing factor in the ith structural feature in the standard section.

In this optional embodiment, further, the feature parameter of the structural feature of the standard slice of the fetal ultrasound image further includes the position probability of the structural feature. At this time, the calculation formula of the structural score of the i-th structural feature in the standard slice for:

H _i =P _i ×Q _i ×O _i ×C _i ;

In the formula, C _i is the position probability of the structural feature of the standard section. In this way, the more parameters of the structural feature, the more conducive to improving the calculation accuracy of the structural score of the structural feature, thereby improving the calculation accuracy of the section score of the standard section, which in turn is conducive to improving the accuracy and reliability of the determination of the optimal standard section. sex.

It can be seen that this optional embodiment can realize the calculation of the section score of the standard section by separately calculating the structural score corresponding to each structural feature of the standard section, which is beneficial to improve the accuracy and efficiency of the calculation of the section score of the standard section; And selecting different parameters according to different structural features can improve the calculation accuracy and efficiency of the structural score corresponding to the structural feature, thereby further improving the calculation accuracy and efficiency of the section score of the standard section.

In yet another optional embodiment, the method for determining the weight value of the fetal structural feature may further include the following operations:

Obtain a positive fetal ultrasound image sample and a negative fetal ultrasound image sample, the pixel value of the positive fetal ultrasound image sample is greater than the pixel value of the negative fetal ultrasound image sample, each of the positive fetal ultrasound image and the negative fetal ultrasound image in the positive fetal ultrasound image sample The weight value influencing factor of the structural feature of each negative sample fetal ultrasound image in the sample includes the clarity of the structural feature;

Based on the positive fetal ultrasound image samples and the negative fetal ultrasound image samples, the determined initial weight value classification model is trained, and the trained initial weight value classification model is obtained as the determined weight value classification model.

In this optional embodiment, the initial weight value classification model includes KNN, Bayesian, Neural Network, Ensemble-Stacking, Ensemble-Boosting, and Ensemble-Bagging, etc., which can realize image classification, or a weight value classification model formed by a combination. The selected embodiment is not limited.

In this optional embodiment, the sample fetal ultrasound images included in the positive fetal ultrasound image sample and the negative fetal ultrasound image sample may be selected by the device terminal, or may be selected by relevant personnel based on experience, or determined by both. of.

In this optional embodiment, since the weight value influencing factor includes multiple structural features corresponding to the clarity of the structural feature, the positive fetal ultrasound image sample is composed of a plurality of sub-positive fetal ultrasound image samples, and the negative fetal ultrasound image sample is composed of Consists of multiple sub-negative fetal ultrasound image samples. Wherein, each sub-positive fetal ultrasound image sample corresponds to a sub-negative fetal ultrasound image sample. Further, each sample fetal ultrasound image has a corresponding sample weight value. For example, a positive fetal ultrasound image sample includes a sub-positive fetal ultrasound image sample that includes structural features of the transparent compartment and a sub-positive fetal ultrasound image sample that includes structural features of the ductus arteriosus, and a negative fetal ultrasound image sample includes a sub-negative fetal ultrasound image that includes the structural features of the transparent compartment. Ultrasound image samples and sub-negative fetal ultrasound image samples of ductus arteriosus structural features. At this time, based on the positive fetal ultrasound image sample, the negative fetal ultrasound image sample, and the weight value corresponding to each sample fetal ultrasound image, the determined initial weight value classification model is trained, and the trained initial weight value classification model is obtained as the determination The weights out of the classification model. In this way, the training accuracy of the weight value classification model can be improved, thereby obtaining a weight value classification model with high accuracy.

It can be seen that, in this optional embodiment, by performing a training operation on the initial weight value classification model based on the sample fetal ultrasound image in advance, it is possible to obtain a weight value classification model that meets the requirements and is accurate, thereby improving the clarity of the weight value influencing factors including structural features. The analysis accuracy and reliability of the sub-weight values can improve the calculation accuracy and efficiency of the weight values corresponding to the structural features.

It can be seen that implementing the method for determining the weight value of the fetal structural feature described in FIG. 1 can determine the weight value of the structural feature in the standard section according to the weight value influence factor, without manual analysis, and quickly obtain accurate fetal ultrasound images. The structural features in the standard section. The weight value of the fetal ultrasound image can be determined quickly and accurately, and the optimal standard slice of the fetal ultrasound image can be accurately determined; and the weights of multiple structural features in the standard slice of the fetal ultrasound image can be obtained by obtaining the weights. It is beneficial to improve the accuracy of obtaining the slice score of the standard slice of the fetal ultrasound image, and to further improve the accuracy of the optimal standard slice of the fetal ultrasound image, so as to achieve accurate and rapid acquisition of fetal growth and development.

Embodiment 2

Please refer to FIG. 2 , which is a schematic flowchart of another method for determining a weight value of a fetal structural feature disclosed in an embodiment of the present invention. Wherein, the method for determining the weight value of the fetal structural feature described in FIG. 2 can be applied to any server (service device or service system) with the function of determining the weight value, wherein the server can include a local server or a cloud server, the present invention The embodiment is not limited. As shown in Figure 2, the method for determining the weight value of the fetal structural feature may include the following operations:

201. After acquiring the standard slice of the fetal ultrasound image, acquire a weight value influencing factor corresponding to at least one structural feature of the standard slice of the fetal ultrasound image.

202. Determine the weight value corresponding to each structural feature according to the weight value influence factor corresponding to the structural feature, and the weight values corresponding to all structural features are used to determine the slice score of the standard slice of the fetal ultrasound image.

203. Perform a correction operation on the weight values corresponding to all the structural features.

In this embodiment of the present invention, optionally, performing a correction operation on the weight values corresponding to all structural features may be understood as performing a correction operation on the weight values corresponding to the structural feature, or as performing a correction operation on the sub-weight values of the structural feature , wherein, for the correction operation of the sub-weight value, please refer to the relevant description in Embodiment 1, and details are not repeated here. Now, the correction operation of the weight value corresponding to the structural feature is explained:

For any structural feature, a corresponding correction coefficient is determined according to the type of the structural feature, and the weight value corresponding to the modified structural feature is obtained by multiplying the correction coefficient by the weight value corresponding to the structural feature.

204. Update the weight value corresponding to each structural feature after the correction operation is performed to the weight value corresponding to the structural feature.

It can be seen that, in the embodiment of the present invention, after obtaining the weight value corresponding to the knot feature of the standard slice of the fetal ultrasound image, the correction operation is performed on the weight value corresponding to the knot feature, which can improve the determination accuracy of the weight value corresponding to the knot feature, which is beneficial to Get the slice score for the standard slice for accuracy.

In this embodiment of the present invention, for other descriptions of step 201 and step 202, please refer to the detailed description of step 101 to step 102 in Embodiment 1, which is not repeated in this embodiment of the present invention.

In an optional embodiment, after performing step 202 and before performing step 203, the method for determining the weight value of the fetal structural feature may further include the following operations:

It is determined whether there is a target structural feature with abnormal structure among all the structural features, and when it is determined that there is at least one target structural feature, the execution of step 203 is triggered.

In this optional embodiment, optionally, when it is determined that there is no abnormal structural feature of the target, the execution of the weight value corresponding to each structural feature of the standard slice based on the fetal ultrasound image in Embodiment 1 and the acquisition of the The operation of calculating the slice score of the standard slice of the fetal ultrasound image based on the characteristic parameters of the structural feature, wherein, for the relevant description of this operation, please refer to the relevant description in Embodiment 1, and details are not repeated here.

It can be seen that, in this optional embodiment, before performing the correction operation on the structural feature, it first determines whether there is an abnormal structural feature, and when there is an abnormal structural feature, the correction operation is performed on the weight value corresponding to the abnormal structural feature, which is conducive to further improvement. The determination accuracy and reliability of the weight value corresponding to the structural feature of the standard slice can further improve the determination accuracy and reliability of the slice score of the standard slice, and further improve the reliability of obtaining a more accurate optimal standard slice.

In this optional embodiment, as an optional implementation manner, judging whether there is a target structural feature with structural abnormality among all structural features may include:

Obtain the target information of each structural feature of each standard section, and the target information of each structural feature is used to determine whether the structural feature is an abnormal structural feature;

According to the target information of each structural feature of each standard section, determine whether each structural feature matches the standard section where it is located;

When it is determined that there is a non-matching structural feature that does not match the standard section in all the structural features, it is determined that there is an abnormal structural feature in the standard section, and the target structural feature is a non-matching structural feature.

It can be seen that this optional implementation can realize the determination of abnormal structural features by acquiring the target information of each structural feature of the standard section, and judging whether each structural feature matches the corresponding standard section according to the target information of each structural feature .

In this optional implementation manner, optionally, according to the target information of each structural feature of each standard section, judging whether each structural feature matches the standard section where it is located may include:

According to the target information of each structural feature of each standard section, determine the representation type corresponding to each structural feature, and the representation type includes numerical representation type and/or feature morphological representation type;

When the representation type of the structural feature is a numerical representation type, it is judged whether the geometric parameter value corresponding to the obtained structural feature is within the predetermined normal parameter value range. does not match;

When the representation type of the structural feature is the feature morphological representation type, it is judged whether the structural feature is located in the detection area of the part feature corresponding to the structural feature, and when the judgment result is no, it is determined that the structural feature does not match the standard section where it is located. .

In this optional embodiment, the detection area of each part feature can be selected by a detection frame, such as a polygon frame or an oval frame.

In this optional embodiment, the geometric parameter value corresponding to each structural feature includes the transverse diameter corresponding to the structural feature and/or the perimeter corresponding to the structural feature, so that the more content the geometric parameter value includes, the more conducive to improving the Judgmental accuracy with which structural features match the standard cut plane in which they are located. Wherein, different structural features have corresponding normal parameter value ranges, wherein the normal parameter value ranges corresponding to different structural features may be the same or different. Further, different geometric parameter values of the same structural feature correspond to different normal parameter value ranges. Still further, the geometric parameter values corresponding to each structural feature may include proportional dimensions and/or actual dimensions. Specifically, after judging that the proportional size corresponding to the structural feature is within the predetermined normal parameter value range, the actual size corresponding to the structural feature is further obtained, and it is judged whether the actual size is within the predetermined normal size range. When the judgment result is no, it is determined that the structural feature does not match the standard section where it is located. In this way, by simultaneously comparing the proportional size and actual size of the structural feature with their respective normal values, the accuracy of determining whether the structural feature matches the standard section where it is located can be improved, thereby reducing the error correction of the section score of the abnormal standard section. If the situation occurs, improve the accuracy and reliability of the correction of the section score of the abnormal standard section.

Now, the structural features of the numerical representation type and the characteristic morphological representation type are given by way of example:

(1) Numerical representation type: when the detected structural feature is the characteristic of critical enlargement of the lateral ventricle, the outline information of the characteristic of the critical enlargement of the lateral ventricle is input into the measurement module for measurement, and the transverse dimension of the characteristic of the critical enlargement of the lateral ventricle is obtained. Diameter (proportional size), and determine whether the transverse diameter is greater than or equal to 12 pixels, if the judgment result is yes, then the critical enlargement feature of the lateral ventricle is an abnormal structural feature, that is, the critical enlargement feature of the lateral ventricle is located in the standard section. does not match. Further, after obtaining the transverse diameter of the characteristic of critical enlargement of the lateral ventricle, according to the transverse diameter and the scale of the fetal ultrasound image, calculate the actual size of the characteristic of the critical enlargement of the lateral ventricle, and determine whether the actual size is greater than or equal to 10 mm, If the judgment result is yes, the characteristic of the critical enlargement of the lateral ventricle is an abnormal structural feature, that is, the characteristic of the critical enlargement of the lateral ventricle does not match the standard view. Further, when it is judged that the lateral diameter of the critical enlargement feature of the lateral ventricle is less than 12 pixels and/or the actual size of the critical enlargement feature of the lateral ventricle is less than 10mm, it is determined that the critical enlargement feature of the lateral ventricle is a normal structural feature, The characteristic of critical enlargement of lateral ventricle is modified to the characteristic of normal lateral ventricle, that is, the characteristic of critical enlargement of lateral ventricle matches the standard slice.

(2) Type of feature morphology representation: when the detected structural feature is the structural feature of the choroidal sub-cyst, it is detected whether the structural feature of the choroidal sub-cyst appears in the detection area of the lateral ventricle, and when it appears in the detection area of the lateral ventricle, it is determined Cyst structural features are abnormal structural features, that is, it is determined that the choroid does not match the standard section where the cystic structural features are located. Further, when it is detected that the choroidal secondary cyst structure feature appears in the detection area of the lateral ventricle, it is determined whether there is the choroidal secondary cyst structure feature in all four frames of fetal ultrasound images, and when the judgment result is yes, determine the choroidal secondary cyst structure. The feature does not match the standard slice it is in.

It can be seen that in this optional embodiment, when judging that the fetal ultrasound image has structural features, it can determine whether the structural features match the standard section where the structural features are located by using the obtained geometric parameter values of the structural features, or whether the structural features are located in the corresponding In the detection area of the part feature, to realize the judgment of whether the structural feature matches the standard section where it is located, it can improve the possibility, accuracy and efficiency of determining whether the structural feature is an abnormal structural feature.

It can be seen that implementing the method for determining the weight value of the fetal structural feature described in FIG. 2 can determine the weight value of the structural feature in the standard section according to the weight value influence factor, without manual analysis, and quickly obtain the accurate fetal ultrasound image. The weight value of the fetal ultrasound image can be determined quickly and accurately, and the optimal standard slice of the fetal ultrasound image can be accurately determined; and the weights of multiple structural features in the standard slice of the fetal ultrasound image can be obtained by obtaining the weights. It is beneficial to improve the accuracy of obtaining the slice score of the standard slice of the fetal ultrasound image, and to further improve the accuracy of the optimal standard slice of the fetal ultrasound image, so as to achieve accurate and rapid acquisition of fetal growth and development.

Embodiment 3

Please refer to FIG. 3 , which is a schematic structural diagram of an apparatus for determining a weight value of a fetal structural feature disclosed in an embodiment of the present invention. The apparatus for determining the weight value of the fetal structural feature described in FIG. 3 can be applied to any server (service device or service system) with the function of determining the weight value, wherein the server may include a local server or a cloud server. As shown in FIG. 3 , the apparatus for determining the weight value of the fetal structural feature may include an acquisition module 301 and a determination module 302, wherein:

The acquiring module 301 is configured to acquire, after acquiring the standard slice of the fetal ultrasound image, a weight value influencing factor corresponding to at least one structural feature of the standard slice of the fetal ultrasound image.

The determination module 302 is configured to determine the weight value corresponding to each structural feature according to the weight value influence factor corresponding to the structural feature, and the weight values corresponding to all structural features are used to determine the slice score of the standard slice of the fetal ultrasound image.

It can be seen that the device for determining the weight value of the fetal structural feature described in FIG. 3 can determine the weight value of the structural feature in the standard section according to the weight value influence factor, without manual analysis, and quickly obtain accurate fetal ultrasound images. The structural features in the standard section. The weight value of the fetal ultrasound image can be determined quickly and accurately, and the optimal standard slice of the fetal ultrasound image can be accurately determined; and the weights of multiple structural features in the standard slice of the fetal ultrasound image can be obtained by obtaining the weights. It is beneficial to improve the accuracy of obtaining the slice score of the standard slice of the fetal ultrasound image, and to further improve the accuracy of the optimal standard slice of the fetal ultrasound image, so as to achieve accurate and rapid acquisition of fetal growth and development.

In an optional embodiment, the number of weight value influencing factors corresponding to each structural feature is greater than or equal to 1, and each weight value influencing factor has a corresponding sub-weight value. As shown in FIG. 4 , the determination module 302 includes a determination sub-module 3021 and a calculation sub-module 3022, wherein:

The determination sub-module 3021 is configured to determine the sub-weight value corresponding to each weight value influence factor according to each weight value influence factor corresponding to each structural feature.

The calculation sub-module 3022 is configured to calculate the sum of all sub-weight values corresponding to each structural feature as the weight value corresponding to each structural feature.

It can be seen that implementing the determination device described in FIG. 4 can determine the weight value influencing factor corresponding to each structural feature in a targeted manner, and determine the sub-weight value corresponding to all the weight value influencing factors as the weight value corresponding to the structural feature, which can improve the The calculation accuracy of the weight value of the structural feature improves the calculation accuracy of the section score corresponding to the standard section, thereby improving the determination accuracy of the optimal standard section.

In yet another optional embodiment, as shown in FIG. 4 , the determining sub-module 3021 determines the sub-weight value corresponding to each weight value influencing factor according to each weight value influencing factor corresponding to each structural feature, specifically as follows: :

For any structural feature, when the key weight value influencing factor corresponding to the structural feature includes the integrity of the structural feature, the target geometric parameters corresponding to the structural feature are calculated according to the outline of the structural feature, and according to the target geometric parameters corresponding to the structural feature, Determine the sub-weight value corresponding to the integrity of the structural feature;

In this optional embodiment, optionally, the manner in which the determination sub-module 3021 determines the sub-weight value matching the geometric parameter corresponding to the structural feature according to the geometric parameter corresponding to the structural feature is specifically:

When the geometric parameter corresponding to the structural feature includes the geometric parameter corresponding to the contour of the structural feature, the sub-weight value corresponding to the geometric parameter corresponding to the contour of the structural feature is determined according to the geometric parameter corresponding to the contour of the structural feature. The geometric parameters include the corresponding size and/or area of the contour;

In this optional embodiment, and optionally, the determining sub-module 3021 determines the sub-weight value corresponding to the geometric parameter corresponding to the contour of the structural feature according to the geometric parameter corresponding to the contour of the structural feature, specifically:

When the geometric parameters corresponding to the contour of the structural feature include the size corresponding to the contour, determine the direction of the size corresponding to the contour of the structural feature on the standard cut plane, and according to the direction of the size corresponding to the contour of the structural feature on the standard cut plane and The direction of the ultrasonic virtual beam on the standard section determines the size corresponding to the contour of the structural feature and the angle formed by the ultrasonic virtual beam, and the sub-weight value corresponding to the angle is determined according to the size of the angle.

In this optional embodiment, and optionally, the determining sub-module 3021 determines, based on the relative positional relationship between the midline of the brain corresponding to the structural feature and the area enclosed by the contour of the structural feature, the corresponding position of the structural feature in the standard section. The way of the sub-weight value of is as follows:

When there is no intersection between the midline of the brain corresponding to the structural feature and the area enclosed by the contour of the structural feature, determine the distance value between the midline of the brain corresponding to the structural feature and the contour of the structural feature, and determine the structure according to the distance value. The sub-weight value corresponding to the position of the feature in the standard slice.

It can be seen that implementing the determination device described in FIG. 4 can select the corresponding sub-weight value determination method according to different weight value influencing factors, which can not only realize the acquisition of the sub-weight value corresponding to the weight value influencing factor, but also improve the sub-weight value. Therefore, the calculation accuracy and efficiency of the weight value corresponding to the structural feature are improved, and the calculation accuracy and efficiency of the section score corresponding to the standard section are further improved.

In yet another optional embodiment, as shown in FIG. 4 , the manner in which the determination sub-module 3021 calculates the target geometric parameter corresponding to the structural feature according to the outline of the structural feature is specifically:

Calculate the length of the contour of the overlapping portion of the contour of the structural feature and the target contour of the structural feature, as the target geometric parameter corresponding to the structural feature, and/or, determine the center point corresponding to the target contour of the structural feature, and based on the target contour of the structural feature. The corresponding center point and the contour of the overlapping part are determined, and the center angle corresponding to the contour of the overlapping part is determined as the target geometric parameter corresponding to the structural feature.

It can be seen that, implementing the determination device described in FIG. 4 can select different fitting methods according to the size of the arc radius of the structural features of the fetal ultrasound image, which can not only realize the fitting of the structural features, but also improve the fitting efficiency of the structural features. and accuracy, thereby improving the calculation accuracy of the target geometric parameters of the structural feature, thereby further improving the calculation accuracy of the weight value corresponding to the structural feature.

In yet another optional embodiment, as shown in FIG. 4 , the apparatus may further include a preprocessing module 303 and an updating module 304, wherein:

The preprocessing module 303 is configured to perform a correction operation on the weight values corresponding to all the structural features after the determining module 302 determines the weight value corresponding to each structural feature according to the weight value influence factor corresponding to the structural feature.

The updating module 304 is configured to update the weight value corresponding to each structural feature after performing the correction operation to the weight value corresponding to each structural feature.

It can be seen that, implementing the determination device described in FIG. 4 can improve the determination of the weight value corresponding to the knot feature by performing a correction operation on the weight value corresponding to the knot feature after obtaining the weight value corresponding to the knot feature of the standard slice of the fetal ultrasound image. Accuracy, which is conducive to obtaining the slice score of the accurate standard slice.

Embodiment 4

Please refer to FIG. 5 . FIG. 5 is another device for determining the weight value of fetal structural features disclosed in an embodiment of the present invention. Wherein, the weight value determination device for fetal structural features described in FIG. 5 can be applied to a weight value determination server (service device), wherein the weight value determination server can include a local weight value determination server or a cloud weight value determination server, the present The embodiments of the invention are not limited. As shown in FIG. 5 , the device for determining the weight value of the fetal structural feature may include:

a memory 501 storing executable program code;

a processor 502 coupled to the memory 501;

Further, it can also include an input interface 503 coupled with the processor 502 and an output interface 504;

Wherein, the processor 502 invokes the executable program code stored in the memory 501 to execute some or all of the steps in the method for determining the weight value of the fetal structural feature described in the first embodiment or the second embodiment.

Embodiment 5

An embodiment of the present invention discloses a computer-readable storage medium, which stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute the method for determining the weight value of a fetal structural feature described in the first embodiment or the second embodiment some or all of the steps.

Embodiment 6

An embodiment of the present invention discloses a computer program product. The computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute the description in the first embodiment or the second embodiment. Part or all of the steps in the method for determining the weight value of the fetal structural feature.

The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in One place, or it can be distributed over multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment. Those of ordinary skill in the art can understand and implement it without creative effort.

From the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation manner can be implemented by means of software plus a necessary general hardware platform, and certainly can also be implemented by means of hardware. Based on this understanding, the above-mentioned technical solutions can be embodied in the form of software products in essence or that make contributions to the prior art. The computer software products can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory. (Read-Only Memory, ROM), Random Access Memory (Random Access Memory, RAM), Programmable Read-only Memory (PROM), Erasable Programmable Read Only Memory (EPROM) ), One-time Programmable Read-Only Memory (OTPROM), Electronically Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read -Only Memory, CD-ROM) or other optical disk storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

Finally, it should be noted that: a method for determining a weight value of a fetal structural feature disclosed in the embodiment of the present invention The method and device for determining a weight value of a fetal structural feature disclosed are only preferred embodiments of the present invention, and are only used to illustrate the present invention. The technical solution of the invention is not intended to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that it is still possible to modify the technical solutions recorded in the foregoing embodiments, Or equivalently replace some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

A method for determining a weight value of a fetal structural feature, characterized in that the method comprises:

After acquiring the standard slice of the fetal ultrasound image, acquiring a weight value impact factor corresponding to at least one structural feature of the standard slice of the fetal ultrasound image;

The weight value corresponding to each structural feature is determined according to the weight value influence factor corresponding to the structural feature, and the weight values corresponding to all the structural features are used to determine the slice score of the standard slice of the fetal ultrasound image.
The method for determining the weight value of a fetal structural feature according to claim 1, wherein the number of the weight value influencing factors corresponding to each of the structural features is greater than or equal to 1, and each of the weight value influencing factors has a corresponding subweight value;

And, determining the weight value corresponding to the structural feature according to the weight value influence factor corresponding to each of the structural features includes:

According to each of the weight value influence factors corresponding to each of the structural features, determine the sub-weight value corresponding to each of the weight value influence factors;

The sum of all the sub-weight values corresponding to each of the structural features is calculated as a weight value corresponding to each of the structural features.
The method for determining a weight value of a fetal structural feature according to claim 2, wherein, according to each of the weight value influencing factors corresponding to each of the structural features, the corresponding weight value influencing factor is determined. The sub-weight values of , including:

For any of the structural features, when the weight value influencing factor corresponding to the structural feature includes the geometric parameter corresponding to the structural feature, the geometric parameter corresponding to the structural feature is determined according to the geometric parameter corresponding to the structural feature. The sub-weight value that matches the parameter;

For any of the structural features, when the weight value influencing factor corresponding to the structural feature includes the clarity of the structural feature, input the fetal ultrasound image corresponding to the structural feature into the determined weight value classification model for Analyze, and obtain the analysis result output by the weight value classification model as the sub-weight value corresponding to the clarity of the structural feature;

For any of the structural features, when the weight value influencing factor corresponding to the structural feature includes the integrity of the structural feature, calculate the target geometric parameter corresponding to the structural feature according to the outline of the structural feature, and Determine the sub-weight value corresponding to the integrity of the structural feature according to the target geometric parameter corresponding to the structural feature;

For any of the structural features, when the weight value influencing factor corresponding to the structural feature includes the proportion of the structural feature, it is determined that the proportion of the structural feature matches the proportion of the structural feature. The sub-weight value of , and the proportion of each structural feature is used to represent the display ratio of the structural feature to the display device where it is located.
The method for determining a weight value of a fetal structural feature according to claim 3, wherein the determining, according to the geometric parameter corresponding to the structural feature, the sub-weight value that matches the geometric parameter corresponding to the structural feature, comprising: :

When the geometric parameter corresponding to the structural feature includes the geometric parameter corresponding to the contour of the structural feature, the sub-weight value corresponding to the geometric parameter corresponding to the contour of the structural feature is determined according to the geometric parameter corresponding to the contour of the structural feature, The geometric parameters corresponding to the contour of the structural feature include the size and/or area corresponding to the contour;

When the geometric parameters of the contour of the structural feature include the position of the structural feature in the standard section, the relative positional relationship between the midline of the brain corresponding to the structural feature and the area enclosed by the contour of the structural feature is determined to determine the The sub-weight value corresponding to the position of the structural feature in the standard section.
The method for determining the weight value of a fetal structural feature according to claim 4, wherein the determination of the The sub-weight value corresponding to the position of the structural feature in the standard section, including:

When there is an intersection between the midline of the brain corresponding to the structural feature and the area enclosed by the contour of the structural feature, determine the situation of the intersection between the outline of the structural feature and the midline of the brain, and based on the situation of the intersection Determine the sub-weight value corresponding to the position of the structural feature in the standard section, and the intersection situation includes the position and/or the number of intersections between the contour of the structural feature and the midline of the brain;

When there is no intersection between the midline of the brain corresponding to the structural feature and the area enclosed by the contour of the structural feature, determine the distance value between the midline of the brain corresponding to the structural feature and the contour of the structural feature, and use The distance value determines the sub-weight value corresponding to the position of the structural feature in the standard section.
The method for determining a weight value of a fetal structural feature according to claim 3, wherein calculating the target geometric parameter corresponding to the structural feature according to the contour of the structural feature, comprising:

Calculate the length of the outline of the structural feature as the target geometric parameter corresponding to the structural feature; and/or,

Determine the center point corresponding to the contour of the structural feature, and determine the center angle corresponding to the contour of the structural feature based on the center point corresponding to the contour of the structural feature and the contour of the structural feature, as the corresponding center angle of the structural feature. target geometry; and/or,

Fitting the contour of the structural feature based on the determined fitting method to obtain the target contour of the structural feature;

Calculate the length of the contour of the overlapping portion of the contour of the structural feature and the target contour of the structural feature, as the target geometric parameter corresponding to the structural feature, and/or, determine the center point corresponding to the target contour of the structural feature, and Based on the center point corresponding to the target contour of the structural feature and the overlapping portion contour, the center angle corresponding to the overlapping portion contour is determined as the target geometric parameter corresponding to the structural feature.
The method for determining a weight value of a fetal structural feature according to claim 4, wherein the sub-weight value corresponding to the geometric parameter corresponding to the contour of the structural feature is determined according to the geometric parameter corresponding to the contour of the structural feature ,include:

When the geometric parameter corresponding to the contour of the structural feature includes the size corresponding to the contour, determine the direction of the size corresponding to the contour of the structural feature on the standard tangent plane, and according to the size corresponding to the contour of the structural feature The direction on the standard slice and the direction of the ultrasonic virtual beam on the standard slice determine the size corresponding to the contour of the structural feature and the angle formed by the ultrasonic virtual beam, and determine the angle corresponding to the angle according to the size of the angle the sub-weight value of .
The method for determining a weight value of a fetal structural feature according to any one of claims 1-7, wherein after determining the weight value corresponding to the structural feature according to the weight value influencing factor corresponding to each of the structural features, The method includes:

Perform a correction operation on the weight values corresponding to all the structural features;

The weight value corresponding to each of the structural features after performing the correction operation is updated to the weight value corresponding to the structural feature.
A weight value determination device for fetal structural features, characterized in that the device comprises:

an acquisition module, configured to acquire a weight value influence factor corresponding to at least one structural feature of the standard slice of the fetal ultrasound image after acquiring the standard slice of the fetal ultrasound image;

The determination module is used to determine the corresponding weight value of the structural feature according to the weight value influence factor corresponding to each of the structural features, and the corresponding weight values of all the structural features are used to determine the section score of the standard section of the fetal ultrasound image. value.
A weight value determination device for fetal structural features, characterized in that the device comprises:

memory in which executable program code is stored;

a processor coupled to the memory;

The processor invokes the executable program code stored in the memory to execute the method for determining a weight value of a fetal structural feature according to any one of claims 1-8.