CN112155603A - Weighted value determination method and device for fetal structural features - Google Patents
Weighted value determination method and device for fetal structural features Download PDFInfo
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Abstract
The invention discloses a method and a device for determining a weight value of a structural characteristic of a fetus, wherein the method comprises the steps of obtaining a weight value influence factor corresponding to at least one structural characteristic of a standard section of a fetus ultrasonic image; and determining the weight value corresponding to each structural feature according to the weight value influence factor corresponding to each structural feature, wherein the weight values corresponding to all the structural features are used for determining the section score of the standard section of the fetal ultrasound image. Therefore, the method can quickly acquire the weight value of the structural characteristics in the standard section of the accurate fetal ultrasound image, so that the section value of the standard section can be quickly and accurately determined, and the optimal standard section of the fetal ultrasound image can be accurately determined; by obtaining the weighted values of the structural features in the standard section, the accuracy of obtaining the section score of the standard section is improved, the accuracy of obtaining the optimal standard section of the ultrasonic image of the fetus is further improved, and the growth and development conditions of the fetus are accurately and quickly obtained.
Description
Technical Field
The invention relates to the technical field of information processing, in particular to a weighted value determining method and device for fetal structural characteristics.
Background
Because the development condition of the fetus can be known from the standard fetus section, especially the optimal fetus section, the optimal fetus section becomes a key point for accurately determining the growth and development condition of the fetus. The current method for determining the optimal standard section of the fetus comprises the following steps: and further, after the primary fetus standard tangent plane is obtained, the primary fetus standard tangent plane is analyzed by experienced workers, so that the final determination of the optimal fetus standard tangent plane is completed.
However, practice finds that, because the preliminary standard section of the fetus is determined directly from a single ultrasound image with a small data volume and because of limited experience and/or fatigue of workers, the accuracy of the determined optimal standard section of the fetus is low, and therefore, the growth and development conditions of the fetus cannot be accurately determined. Therefore, how to obtain an accurate and optimal standard fetus section is very important, so that the growth and development conditions of the fetus are accurately determined.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method and an apparatus for determining a weighted value of a fetal structural feature, which are beneficial to improve a section score of a standard section of a fetal ultrasound image by obtaining an accurate weighted value of a structural feature of a fetal ultrasound image, so as to be beneficial to obtaining an accurate optimal fetal standard section, and further to accurately determine a growth and development condition of a fetus.
In order to solve the technical problem, a first aspect of the present invention discloses a method for determining a weight value of a fetal structural feature, including:
after a standard section of the fetal ultrasonic image is obtained, obtaining a weight value influence factor corresponding to at least one structural feature of the standard section of the fetal ultrasonic image;
and determining a weight value corresponding to each structural feature according to the weight value influence factor corresponding to each structural feature, wherein the weight values corresponding to all the structural features are used for determining the section score of the standard section of the fetal ultrasound image.
As an optional implementation manner, in the first aspect of the present invention, the number of the weight value influence factors corresponding to each structural feature is greater than or equal to 1, and each weight value influence factor has a corresponding sub-weight value;
and determining the weight value corresponding to each structural feature according to the weight value influence factor corresponding to the structural feature, including:
determining a sub-weight value corresponding to each weight value influence factor according to each weight value influence factor corresponding to each structural feature;
and calculating the sum of all the sub-weight values corresponding to each structural feature as the weight value corresponding to each structural feature.
As an optional implementation manner, in the first aspect of the present invention, the determining, according to each of the weight value influence factors corresponding to each of the structural features, a sub-weight value corresponding to each of the weight value influence factors includes:
for any structural feature, when the weight value influence factor corresponding to the structural feature includes a geometric parameter corresponding to the structural feature, determining a sub-weight value matched with 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 influence factor corresponding to the structural feature includes the definition of the structural feature, inputting the fetal ultrasound image corresponding to the structural feature into the determined weight value classification model for analysis, and acquiring an analysis result output by the weight value classification model as a sub-weight value corresponding to the definition of the structural feature;
for any structural feature, when the weight value influence factor corresponding to the structural feature includes the integrity of the structural feature, calculating a target geometric parameter corresponding to the structural feature according to the contour of the structural feature, and determining a sub-weight value corresponding to the integrity of the structural feature according to the target geometric parameter corresponding to the structural feature;
for any one of the structural features, when the weight value influence factor corresponding to the structural feature includes the proportion of the structural feature, determining a sub-weight value matched with the proportion of the structural feature according to the proportion of the structural feature, wherein the proportion of each structural feature is used for representing the display proportion of the structural feature and the display device where the structural feature is located.
As an optional implementation manner, in the first aspect of the present invention, the determining, according to the geometric parameter corresponding to the structural feature, a sub-weight value matching the geometric parameter corresponding to the structural feature includes:
when the geometric parameters corresponding to the structural feature comprise the geometric parameters corresponding to the contour of the structural feature, determining a sub-weight value corresponding to the geometric parameters corresponding to the contour of the structural feature according to the geometric parameters corresponding to the contour of the structural feature, wherein the geometric parameters corresponding to the contour of the structural feature comprise the size and/or area corresponding to the contour;
and when the geometric parameters of the contour of the structural feature comprise the position of the structural feature in the standard tangent plane, determining the sub-weight value corresponding to the position of the structural feature in the standard tangent plane based on the relative position relationship between the brain midline corresponding to the structural feature and the region surrounded by the contour of the structural feature.
As an optional implementation manner, in the first aspect of the present invention, the determining, based on a relative positional relationship between a brain midline corresponding to the structural feature and an area surrounded by a contour of the structural feature, a sub-weight value corresponding to a position of the structural feature in the standard tangent plane includes:
when an intersection point exists between the brain midline corresponding to the structural feature and an area surrounded by the outline of the structural feature, determining the intersection point condition between the outline of the structural feature and the brain midline, and determining a sub-weight value corresponding to the position of the structural feature in the standard tangent plane according to the intersection point condition, wherein the intersection point condition comprises the intersection point position and/or the intersection point number between the outline of the structural feature and the brain midline;
when no intersection point exists between the brain midline corresponding to the structural feature and the region surrounded by the outline of the structural feature, determining a distance value between the brain midline corresponding to the structural feature and the outline of the structural feature, and determining a sub-weight value corresponding to the position of the structural feature in the standard tangent plane according to the distance value.
As an optional implementation manner, in the first aspect of the present invention, the calculating, according to the profile of the structural feature, a target geometric parameter corresponding to the structural feature includes:
calculating the length of the contour of the structural feature as a target geometric parameter corresponding to the structural feature; and/or the presence of a gas in the gas,
determining a central point corresponding to the contour of the structural feature, and determining a central angle corresponding to the contour of the structural feature as a target geometric parameter corresponding to the structural feature based on the central point corresponding to the contour of the structural feature and the contour of the structural feature; and/or the presence of a gas in the gas,
fitting the contour of the structural feature based on the determined fitting method to obtain a target contour of the structural feature;
calculating the length of the outline of the structural feature and the outline of the overlapped part of the target outline of the structural feature to be used as a target geometric parameter corresponding to the structural feature, and/or determining the central point corresponding to the target outline of the structural feature, and determining the central angle corresponding to the overlapped part outline based on the central point corresponding to the target outline of the structural feature and the overlapped part outline to be used as the target geometric parameter corresponding to the structural feature.
As an optional implementation manner, in the first aspect of the present invention, the determining, according to the geometric parameter corresponding to the contour of the structural feature, a sub-weight value corresponding to the geometric parameter corresponding to the contour of the structural feature includes:
when the geometric parameters corresponding to the contour of the structural feature comprise the dimension corresponding to the contour, determining the direction of the dimension corresponding to the contour of the structural feature on the standard tangent plane, determining the angle formed by the dimension corresponding to the contour of the structural feature and the ultrasonic virtual beam according to the direction of the dimension corresponding to the contour of the structural feature on the standard tangent plane and the direction of the ultrasonic virtual beam on the standard tangent plane, and determining the sub-weight value corresponding to the angle according to the size of the angle.
As an optional implementation manner, in the first aspect of the present invention, after determining the weight value corresponding to each structural feature according to the weight value influence factor corresponding to the structural feature, the method includes:
performing correction operation on the weight values corresponding to all the structural features;
and updating the weight value corresponding to each structural feature after the correction operation is performed to the weight value corresponding to each structural feature.
As an alternative implementation, in the first aspect of the present invention, the method further includes:
acquiring characteristic parameters of each structural feature of the standard tangent plane;
and after determining the weight value corresponding to each structural feature according to the weight value influence factor corresponding to the structural feature, the method further includes:
and calculating the section score of the standard section of the fetal ultrasonic image based on the weight value corresponding to each structural feature of the standard section and the characteristic parameter of the structural feature.
The second aspect of the invention discloses a weight value determination device for fetal structural characteristics, which comprises:
the acquisition module is used for acquiring a weight value influence factor corresponding to at least one structural feature of a standard section of the fetal ultrasound image after the standard section of the fetal ultrasound image is acquired;
and the determining module is used for determining 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 the structural features are used for determining the section score of the standard section of the fetal ultrasound image.
As an optional implementation manner, in the second aspect of the present invention, the number of the weight value influence factors corresponding to each structural feature is greater than or equal to 1, and each weight value influence factor has a corresponding sub-weight value;
and the determining module comprises a determining submodule and a calculating submodule, wherein:
the determining submodule is configured to determine, according to each weight value influence factor corresponding to each structural feature, a sub-weight value corresponding to each weight value influence factor;
the calculating submodule is configured to calculate a sum of all the sub weight values corresponding to each of the structural features, and the sum is used as a weight value corresponding to each of the structural features.
As an optional implementation manner, in the second aspect of the present invention, the determining sub-module, according to each of the weight value influence factors corresponding to each of the structural features, specifically determines a sub-weight value corresponding to each of the weight value influence factors by:
for any structural feature, when the weight value influence factor corresponding to the structural feature includes a geometric parameter corresponding to the structural feature, determining a sub-weight value matched with 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 influence factor corresponding to the structural feature includes the definition of the structural feature, inputting the fetal ultrasound image corresponding to the structural feature into the determined weight value classification model for analysis, and acquiring an analysis result output by the weight value classification model as a sub-weight value corresponding to the definition of the structural feature;
for any structural feature, when the weight value influence factor corresponding to the structural feature includes the integrity of the structural feature, calculating a target geometric parameter corresponding to the structural feature according to the contour of the structural feature, and determining a sub-weight value corresponding to the integrity of the structural feature according to the target geometric parameter corresponding to the structural feature;
for any one of the structural features, when the weight value influence factor corresponding to the structural feature includes the proportion of the structural feature, determining a sub-weight value matched with the proportion of the structural feature according to the proportion of the structural feature, wherein the proportion of each structural feature is used for representing the display proportion of the structural feature and the display device where the structural feature is located.
As an optional implementation manner, in the second aspect of the present invention, the determining sub-module determines, according to the geometric parameter corresponding to the structural feature, a sub-weight value matched with the geometric parameter corresponding to the structural feature in a specific manner:
when the geometric parameters corresponding to the structural feature comprise the geometric parameters corresponding to the contour of the structural feature, determining a sub-weight value corresponding to the geometric parameters corresponding to the contour of the structural feature according to the geometric parameters corresponding to the contour of the structural feature, wherein the geometric parameters corresponding to the contour of the structural feature comprise the size and/or area corresponding to the contour;
and when the geometric parameters of the contour of the structural feature comprise the position of the structural feature in the standard tangent plane, determining the sub-weight value corresponding to the position of the structural feature in the standard tangent plane based on the relative position relationship between the brain midline corresponding to the structural feature and the region surrounded by the contour of the structural feature.
As an optional implementation manner, in the second aspect of the present invention, the determining sub-module determines, based on a relative position relationship between a brain midline corresponding to the structural feature and an area surrounded by a contour of the structural feature, a sub-weight value corresponding to a position of the structural feature in the standard tangent plane specifically:
when an intersection point exists between the brain midline corresponding to the structural feature and an area surrounded by the outline of the structural feature, determining the intersection point condition between the outline of the structural feature and the brain midline, and determining a sub-weight value corresponding to the position of the structural feature in the standard tangent plane according to the intersection point condition, wherein the intersection point condition comprises the intersection point position and/or the intersection point number between the outline of the structural feature and the brain midline;
when no intersection point exists between the brain midline corresponding to the structural feature and the region surrounded by the outline of the structural feature, determining a distance value between the brain midline corresponding to the structural feature and the outline of the structural feature, and determining a sub-weight value corresponding to the position of the structural feature in the standard tangent plane according to the distance value.
As an optional implementation manner, in the second aspect of the present invention, the manner of calculating, by the determination submodule, the target geometric parameter corresponding to the structural feature according to the contour of the structural feature is specifically:
calculating the length of the contour of the structural feature as a target geometric parameter corresponding to the structural feature; and/or the presence of a gas in the gas,
determining a central point corresponding to the contour of the structural feature, and determining a central angle corresponding to the contour of the structural feature as a target geometric parameter corresponding to the structural feature based on the central point corresponding to the contour of the structural feature and the contour of the structural feature; and/or the presence of a gas in the gas,
fitting the contour of the structural feature based on the determined fitting method to obtain a target contour of the structural feature;
calculating the length of the outline of the structural feature and the outline of the overlapped part of the target outline of the structural feature to be used as a target geometric parameter corresponding to the structural feature, and/or determining the central point corresponding to the target outline of the structural feature, and determining the central angle corresponding to the overlapped part outline based on the central point corresponding to the target outline of the structural feature and the overlapped part outline to be used as the target geometric parameter corresponding to the structural feature.
As an optional implementation manner, in the second aspect of the present invention, the determining, by the determining submodule, according to the geometric parameter corresponding to the contour of the structural feature, a manner of determining the sub-weight value corresponding to the geometric parameter corresponding to the contour of the structural feature is specifically:
when the geometric parameters corresponding to the contour of the structural feature comprise the dimension corresponding to the contour, determining the direction of the dimension corresponding to the contour of the structural feature on the standard tangent plane, determining the angle formed by the dimension corresponding to the contour of the structural feature and the ultrasonic virtual beam according to the direction of the dimension corresponding to the contour of the structural feature on the standard tangent plane and the direction of the ultrasonic virtual beam on the standard tangent plane, and determining the sub-weight value corresponding to the angle according to the size of the angle.
As an alternative embodiment, in the second aspect of the present invention, the apparatus further comprises:
the preprocessing module is used for executing 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 structural feature;
and the updating module is used for updating the weight value corresponding to each structural feature after the correction operation is executed to the weight value corresponding to each structural feature.
As an optional implementation manner, in the second aspect of the present invention, the obtaining module is further configured to obtain a feature parameter of each structural feature of the standard tangent plane;
and, the apparatus further comprises:
and the calculating module is used for calculating the section score of the standard section of the fetal ultrasonic image based on the weight value corresponding to each structural feature of the standard section and the characteristic parameter of the structural feature after the determining module determines the weight value corresponding to the structural feature according to the weight value influence factor corresponding to each structural feature.
The third aspect of the present invention discloses another apparatus for determining weight value of structural feature of fetus, said apparatus comprising:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls 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.
In a fourth aspect, the present invention discloses a computer storage medium, which stores computer instructions for executing the method for determining a weight value of a fetal structural feature disclosed in the first aspect of the present invention when the computer instructions are called.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a method and a device for determining a weight value of a fetal structural feature, wherein the method comprises the steps of obtaining a weight value influence factor corresponding to at least one structural feature of a standard section of a fetal ultrasonic image after obtaining the standard section of the fetal ultrasonic image; and determining the weight value corresponding to each structural feature according to the weight value influence factor corresponding to each structural feature, wherein the weight values corresponding to all the structural features are used for determining the section score of the standard section of the fetal ultrasound image. Therefore, by automatically determining the weight value influence factor corresponding to the structural feature in the standard section of the fetal ultrasound image, the invention can determine the weight value of the structural feature in the standard section according to the weight value influence factor, does not need manual analysis, and can quickly acquire the accurate weight value of the structural feature in the standard section of the fetal ultrasound image, thereby realizing the quick and accurate determination of the section score of the standard section of the fetal ultrasound image and further accurately determining the optimal standard section of the fetal ultrasound image; and by acquiring the weight values of the structural features in the standard section of the fetal ultrasound image, the acquisition accuracy of the section score of the standard section of the fetal ultrasound image is favorably improved, and the acquisition accuracy of the optimal standard section of the fetal ultrasound image is favorably improved, so that the growth and development conditions of the fetus are accurately and quickly acquired.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart of a method for determining a weight value of a fetal structural feature according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of another method for determining a weight value of a fetal structural feature according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a weight value determining apparatus for fetal structural characteristics according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of another apparatus for determining weight value of structural feature of fetus according to the embodiment of the present invention;
fig. 5 is a schematic structural diagram of a weight value determining apparatus for fetal structural characteristics according to another embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, 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 in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product, or apparatus that comprises a list of steps or elements is not limited to those listed but may alternatively include other steps or elements not listed or inherent to such process, method, product, or apparatus.
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 invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The invention discloses a method and a device for determining a weighted value of a structural feature of a fetus, which can determine the weighted value of the structural feature in a standard section according to a weighted value influence factor, and quickly obtain the weighted value of the structural feature in the standard section of an accurate fetus ultrasonic image without manual analysis, thereby realizing quick and accurate determination of a section score of the standard section of the fetus ultrasonic image and further accurately determining an optimal standard section of the fetus ultrasonic image; and by acquiring the weight values of the structural features in the standard section of the fetal ultrasound image, the acquisition accuracy of the section score of the standard section of the fetal ultrasound image is favorably improved, and the acquisition accuracy of the optimal standard section of the fetal ultrasound image is favorably improved, so that the growth and development conditions of the fetus are accurately and quickly acquired. The following are detailed below.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a method for determining a weight value of a fetal structural feature according to an embodiment of the present invention. The method for determining a weight value of a fetal structural feature described in fig. 1 may be applied to any server (service device or service system) having a function of determining a weight value, where the server may include a local server or a cloud server, and the embodiment of the present invention is not limited thereto. As shown in fig. 1, the method for determining the weight value of the fetal structural feature may include the following operations:
101. after the standard section of the fetal ultrasonic image is obtained, a weight value influence factor corresponding to at least one structural feature of the standard section of the fetal ultrasonic image is obtained.
In an embodiment of the present invention, the weight value influence factor corresponding to each structural feature may include at least one of a geometric parameter corresponding to the structural feature, a definition of the structural feature, a completeness of the structural feature, and a proportion of the structural feature, where the geometric parameter corresponding to each structural feature includes a geometric parameter corresponding to a contour of the structural feature and/or a position of the structural feature in a standard tangent plane, where the geometric parameter corresponding to the contour of each structural feature includes a size and/or an area corresponding to the contour. Therefore, the more weight value influence factors corresponding to the structural features are, the more the accuracy and the reliability of determining the weight values corresponding to the structural features are improved.
102. And determining the weight value corresponding to each structural feature according to the weight value influence factor corresponding to each structural feature, wherein the weight values corresponding to all the structural features are used for determining the section score of the standard section of the fetal ultrasound image.
In the embodiment of the present invention, optionally, the number of the weight value influence factors corresponding to each structural feature is greater than or equal to 1, and each weight value influence factor has a corresponding sub-weight value.
As an optional implementation manner, determining a weight value corresponding to each structural feature according to a weight value influence factor corresponding to the structural feature includes:
determining a sub-weight value corresponding to each weight value influence factor according to each weight value influence factor corresponding to each structural feature;
and calculating the sum of all the 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 influence factor, and it should be noted that the key weight value influence factors corresponding to different structural features may be the same or different. For example: the key weight value influence factors of the skull halo structure characteristics comprise head circumference size corresponding to the contour of the skull halo structure characteristics, the integrity of the contour of the skull halo structure characteristics and the relative position of an area surrounded by the contour of the skull halo structure characteristics and a brain midline; the key weight value influence factors of the femur structural feature comprise the length corresponding to the contour of the femur structural feature, the area enclosed by the contour of the femur structural feature and the relative position of the area enclosed by the contour of the femur structural feature and the brain midline. The more critical the weight value influence factor of the structural characteristic is, the higher the weight value corresponding to the weight value influence factor is, and the more accurate the section score of the standard section is obtained. The weighted value corresponding to each structural feature can be obtained only by calculating the sub-weighted value of the key weighted value influence factor corresponding to each structural feature, so that the calculation amount is reduced and the calculation efficiency of the weighted value of the structural feature is improved while the accurate weighted value of the structural feature is ensured to be obtained, thereby improving the calculation accuracy and efficiency of the section score of the standard section and further improving the determination accuracy and efficiency of the optimal standard section of the fetal ultrasound image.
Therefore, in the optional embodiment, the weight value influence factor corresponding to each structural feature is determined in a targeted manner, and the sub-weight values corresponding to all the weight value influence factors are determined as the weight values corresponding to the structural feature, so that the calculation accuracy of the weight values of the structural features can be improved, the calculation accuracy of the section scores of the corresponding standard sections is improved, and the determination accuracy of the optimal standard section is improved.
In this further optional embodiment, optionally, determining, according to each weight value influence factor corresponding to each structural feature, a sub-weight value corresponding to each weight value influence factor may include:
for any structural feature, when the weight value influence factor corresponding to the structural feature comprises the geometric parameter corresponding to the structural feature, determining a sub-weight value matched with 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 influence factor corresponding to the structural feature comprises the definition of the structural feature, inputting the fetal ultrasound image corresponding to the structural feature into the determined weight value classification model for analysis, and obtaining an analysis result output by the weight value classification model as a sub-weight value corresponding to the definition of the structural feature;
for any structural feature, when the weight value influence factor corresponding to the structural feature comprises the integrity of the structural feature, calculating a target geometric parameter corresponding to the structural feature according to the outline of the structural feature, and determining a sub-weight value corresponding to the integrity of the structural feature according to the target geometric parameter corresponding to the structural feature;
for any structural feature, when the weight value influence factor corresponding to the structural feature comprises the proportion of the structural feature, determining a sub-weight value matched with the proportion of the structural feature according to the proportion of the structural feature, wherein the proportion of each structural feature is used for representing the display proportion of the structural feature and the display device.
In this optional embodiment, optionally, the proportion of the structural feature may be calculated by calculating an area surrounded by the outline of the structural feature and/or a distance value between two end points on the outline of the structural feature that are farthest from each other, so that the calculation accuracy and reliability of the proportion of the structural feature may be improved. The area surrounded by the outline of the structural feature is preferentially selected to calculate the proportion of the structural feature, for example: the area enclosed by the outline of the left atrial structural feature accounts for one seventh of the area of the display screen, and the sub-weight value corresponding to the proportion of the left atrial structural feature is 0.8.
In this further optional embodiment, optionally, determining, according to the geometric parameter corresponding to the structural feature, the sub-weight value matched with the geometric parameter corresponding to the structural feature includes:
when the geometric parameters corresponding to the structural feature comprise the geometric parameters corresponding to the outline of the structural feature, determining the sub-weight values corresponding to the geometric parameters corresponding to the outline of the structural feature according to the geometric parameters corresponding to the outline of the structural feature, wherein the geometric parameters corresponding to the outline of the structural feature comprise the size and/or area corresponding to the outline;
when the geometric parameters of the contour of the structural feature comprise the position of the structural feature in the standard tangent plane, determining the sub-weight value corresponding to the position of the structural feature in the standard tangent plane based on the relative position relationship between the brain midline corresponding to the structural feature and the region surrounded by the contour of the structural feature.
In this further alternative embodiment, the dimensions of the contour of the structural feature may include the circumference of the contour of the structural feature and/or the corresponding length of the contour of the structural feature (e.g., the length of the humeral structural feature).
In this further optional embodiment, optionally, after the geometric parameters of the contour of the structural feature are acquired, it is further determined whether the geometric parameters of the contour of the structural feature are within a geometric parameter range corresponding to the gestational week of the determined fetal ultrasound image, and when it is determined that the geometric parameters of the contour of the structural feature are not within the corresponding geometric parameter range, the sub-weight value corresponding to the geometric parameters of the contour of the structural feature is multiplied by the determined weight correction coefficient (for example, 0.8) to obtain a corrected sub-weight value. For example: if the current gestational week of the fetus is 20 weeks and the length of the femur of the fetus corresponding to the 20 week is normally 10cm-15cm, when the determined length of the femur structural feature is 13cm, keeping the calculated sub-weight value (0.7) unchanged, and when the length of the femur structural feature is 8cm or 20cm, multiplying the calculated sub-weight value (0.7) by a weight correction coefficient (0.9) to obtain a corrected sub-weight value (0.63). Wherein, the higher the weight value is, the more obvious the corresponding structural feature is expressed. Therefore, the correction operation is executed on the sub-weight values corresponding to the geometric parameters of the structural features which are not in the normal parameter range corresponding to the gestational weeks, so that the calculation accuracy of the weight values corresponding to the structural features can be improved, and the calculation accuracy of the section scores of the corresponding standard sections is improved.
In this further optional embodiment, optionally, when it is determined that the calculated value is within the corresponding geometric parameter range, the operation of calculating the sum of all sub-weight values corresponding to each structural feature is triggered to be performed, as the weight value corresponding to each structural feature, or when the structural feature does not complete the calculation of the sub-weight values corresponding to other weight value influence factors, the sub-weight values corresponding to other weight value influence factors of the structural feature are continuously calculated, and after the calculation of all required weight value influence factors is completed, the operation of calculating the sum of all sub-weight values corresponding to each structural feature is triggered to be performed, as the weight value corresponding to each structural feature. For example: and calculating the sub-weight values corresponding to the length corresponding to the contour of the femur structural feature and the area (area) surrounded by the contour of the femur structural feature, and calculating the sub-weight values corresponding to the relative position of the area surrounded by the contour of the femur structural feature and the brain midline, and then continuing to perform the calculation operation of the sub-weight values corresponding to the relative position of the area surrounded by the contour of the femur structural feature and the brain midline, so as to ensure that the calculation of the sub-weight values corresponding to all required weight value influence factors is completed, and further improve the calculation accuracy of the weight values corresponding to the structural features.
In this further optional embodiment, when the geometric parameter corresponding to the contour of the structural feature includes a size corresponding to the contour, determining, according to the geometric parameter corresponding to the contour of the structural feature, a sub-weight value corresponding to the geometric parameter corresponding to the contour of the structural feature includes:
determining the direction of the dimension corresponding to the contour of the structural feature on the standard tangent plane, determining the angle formed by the dimension corresponding to the contour of the structural feature and the ultrasonic virtual beam according to the direction of the dimension corresponding to the contour of the structural feature on the standard tangent plane and the direction of the ultrasonic virtual beam on the standard tangent plane, and determining the sub-weight value corresponding to the angle according to the size of the angle.
In this optional embodiment, the sub-weight value corresponding to the angle is determined according to the size of the angle, specifically: determining an angle range in which the angle is positioned, and determining a weight value corresponding to the angle range as a sub-weight value corresponding to the angle, or determining the sub-weight value corresponding to the angle according to a linear relation between the weight value and the angle.
In this alternative embodiment, the linear relationship between weight value and angle is expressed as follows:
y＝a*x+k；
where y represents the sub-weight value corresponding to the angle, x represents the angle, and a represents a constant, such as: 0.04, k represents the sub-weight values corresponding to the angles when the corresponding dimension of the profile of the structural feature is parallel to the virtual beam of ultrasound, for example: 0.01.
in this alternative embodiment, the dimension corresponding to the contour of the structural feature includes one of a long side of the humerus structural feature, a long side of the femur structural feature, a brain midline of the craniocerebral structural feature (long ellipse axis of the craniocerebral structural feature), a long gap side of the retrocervical stratum lucidum, and the like, and this alternative embodiment is not limited. Further optionally, different structural features have corresponding priority angle weight value determination manners. For example: the long side of the humerus structure characteristic and the long side of the femur structure characteristic preferentially select a linear relation determination mode of the weight value-angle to determine the sub-weight value corresponding to the angle, for example: and preferentially selecting an angle range determination mode from the cerebral midline of the craniocerebral structural characteristics to determine the sub-weight values corresponding to the angles. Therefore, the accuracy and the efficiency of obtaining the sub-weight values corresponding to the angles of the structural features are improved, and the accuracy, the reliability and the efficiency of the weight values of the structural features are further improved.
For example, when the dimension corresponding to the contour of the structural feature is the long side of the humerus structural feature, an angle formed by the long side of the humerus structural feature (or the femur structural feature) and the ultrasonic virtual beam is determined according to the long side direction of the humerus structural feature and the ultrasonic virtual beam direction, and the angle is 80 °, at this time, 80 ° is in a range of 45 ° to 90 °, and the weight value corresponding to 45 ° to 90 ° is 1, then the sub-weight value corresponding to the 80 ° angle is 1, or it is determined that the sub-weight value corresponding to the 80 ° angle is 0.8 according to a linear relationship between the weight value and the angle.
In this optional embodiment, optionally, the sub-weight value corresponding to the size corresponding to the profile of the structural feature may be determined by using the size corresponding to the profile of the structural feature and the size of the angle formed by the virtual ultrasound beam and the size corresponding to the profile of the structural feature.
Therefore, in the optional embodiment, the determination of the sub-weight value of the angle corresponding to the structural feature can be realized through the angle formed by the size corresponding to the outline of the structural feature and the ultrasonic virtual beam, so that the accuracy and the efficiency of determining the sub-weight value of the angle corresponding to the structural feature are improved, and the accuracy, the reliability and the efficiency of the weight value of the structural feature are further improved.
In this further optional embodiment, optionally, determining, based on a relative positional relationship between a brain midline corresponding to the structural feature and an area surrounded by the contour of the structural feature, a sub-weight value corresponding to a position of the structural feature in the standard tangent plane may include:
when an intersection point exists between the brain midline corresponding to the structural feature and an area surrounded by the outline of the structural feature, determining the intersection point condition between the outline of the structural feature and the brain midline, and determining the sub-weight value corresponding to the position of the standard tangent plane where the structural feature is located according to the intersection point condition, wherein the intersection point condition comprises the intersection point position and/or the intersection point number between the outline of the structural feature and the brain midline;
when no intersection point exists between the brain midline corresponding to the structural feature and the region surrounded by the outline of the structural feature, determining a distance value between the brain midline corresponding to the structural feature and the outline of the structural feature, and determining a sub-weight value corresponding to the position of the structural feature in the standard tangent plane according to the distance value.
In this further optional embodiment, optionally, the sub-weight value corresponding to the position of the structural feature in the standard tangent plane is determined according to the intersection point condition, specifically: when the intersection point position between the outline of the structural feature and the brain midline is in the determined position range, determining that the sub-weight value corresponding to the position of the structural feature in the standard tangent plane is a first sub-weight value; when the number of intersection points between the outline of the structural feature and the brain midline is equal to 1, determining that the sub-weight value corresponding to the position of the structural feature in the standard tangent plane is a second sub-weight value; when the intersection point position between the outline of the structural feature and the brain midline is in the determined position range and the number of the intersection points is equal to 1 or the number of the intersection points between the outline of the structural feature and the brain midline is more than 1, determining that the sub-weight value corresponding to the position of the structural feature in the standard tangent plane is a third sub-weight value; when the intersection point position between the outline of the structural feature and the brain midline is in the determined position range and the intersection point number is more than 1, determining that the sub-weight value corresponding to the position of the structural feature in the standard tangent plane is a fourth sub-weight value, wherein the first sub-weight value, the second sub-weight value, the third sub-weight value and the fourth sub-weight value are sequentially increased. Therefore, different sub-weight values are determined according to different relative position relations of the area surrounded by the brain midline corresponding to the structural feature and the outline of the structural feature, the accuracy of determining the sub-weight values can be improved, and the accuracy of calculating the weight values corresponding to the structural feature is further improved.
In this further optional embodiment, it is further optional to determine, according to the distance value, a sub-weight value corresponding to the position of the structural feature in the standard tangent plane, specifically: when the distance value between the brain midline corresponding to the structural feature and the outline of the structural feature is in a predetermined distance value range, determining that the sub-weight value corresponding to the position of the structural feature in the standard tangent plane is a fifth sub-weight value; when the distance value between the brain midline corresponding to the structural feature and the outline of the structural feature is larger than the maximum distance value in the range of the predetermined distance value, determining that the sub-weight value corresponding to the position of the structural feature on the standard tangent plane is a sixth sub-weight value, and the sixth sub-weight value is larger than the fifth sub-weight value. For example: when an intersection point exists between the brain midline and the outline of the brain midline saccule structural feature, the subweight value is 0.8, and when two intersection points exist, the subweight value is 1, which indicates that the brain midline saccule structural feature does not deviate from the brain midline; when no intersection point exists between the outline of the structural feature of the cerebral midline saccule and the cerebral midline and the deviation distance is 1mm, the subweight value is 0.6; when the offset 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 sequentially increase.
In this optional embodiment, when there are a plurality of weight value influence 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 influence factor. For example: the weight value influence factor of the femur structure characteristic of the femur measurement tangent plane comprises the length corresponding to the contour of the femur structure characteristic, the area surrounded by the contour of the femur structure characteristic and the relative position of the area surrounded by the contour of the femur structure characteristic and the midline, the sub-weight value of the length corresponding to the contour of the femur structure characteristic is 0.7, the sub-weight value corresponding to the area surrounded by the contour of the femur structure characteristic is 0.6, the sub-weight value corresponding to the relative position of the area surrounded by the contour of the femur structure characteristic and the midline is 0.8, and the weight value of the femur structure characteristic is 0.7+0.6+0.8 which is 2.1.
Therefore, according to the optional implementation mode, the corresponding sub-weight value determining mode is selected according to different weight value influence factors, so that the sub-weight value corresponding to the weight value influence factor can be obtained, and the obtaining efficiency and accuracy of the sub-weight value can be improved, the calculation accuracy and efficiency of the weight value corresponding to the structural characteristics are improved, and the calculation accuracy and efficiency of the section score corresponding to the standard section are improved.
In this further optional embodiment, yet further optional, calculating a target geometric parameter corresponding to the structural feature according to the profile of the structural feature includes:
calculating the length of the outline of the structural feature as a target geometric parameter corresponding to the structural feature; and/or the presence of a gas in the gas,
determining a central point corresponding to the contour of the structural feature, and determining a central angle corresponding to the contour of the structural feature as a target geometric parameter corresponding to the structural feature based on the central point corresponding to the contour of the structural feature and the contour of the structural feature; and/or the presence of a gas in the gas,
fitting the contour of the structural feature based on the determined fitting method to obtain a target contour of the structural feature;
and/or determining a central point corresponding to the target contour of the structural feature, and determining a central angle corresponding to the contour of the structural feature based on the central point corresponding to the target contour of the structural feature and the contour of the overlapping part as the target geometric parameter corresponding to the structural feature.
In this optional embodiment, optionally, a plurality of nodes exist on each contour of the structural feature, and fitting the contour of the structural feature based on the determined fitting method to obtain the target contour of the structural feature may include:
acquiring the arc radius corresponding to the outline of the structural feature;
when the arc radius corresponding to the outline of the structural feature is larger than or equal to the determined arc radius threshold (for example, 5mm), selecting a preset number (for example, 50) of target nodes from all nodes corresponding to the structural feature, and sequentially connecting all target nodes corresponding to the structural feature according to a mode that every two adjacent nodes are connected to obtain a target outline of the structural feature;
and when the arc radius corresponding to the outline of the structural feature is not more than or equal to the determined arc radius threshold value, sequentially connecting all nodes corresponding to the structural feature according to the connection mode of each adjacent node to obtain the target outline of the structural feature.
In this alternative embodiment, when the contour of the structural feature has a plurality of circular arcs and/or the curvature of the contour is greater than or equal to the determined curvature threshold, the fitting operation is performed on the contour of the structural feature in a segmented manner. Specifically, the method comprises the following steps: when the contour of the structural feature has a plurality of circular arcs, respectively performing fitting operation on each circular arc in the plurality of circular arcs of the structural feature; when the curvature of the contour of the structural feature is larger than or equal to the curvature threshold value, the contour of the structural feature is divided into multiple sections at equal intervals or unequal intervals, and the fitting operation is performed on each section of contour respectively. Therefore, when the contour of the structural feature has a plurality of circular arcs and/or the curvature of the contour is large, the fitting efficiency and accuracy of the contour of the structural feature can be improved by performing the fitting operation on the contour of the structural feature in a segmented manner, so that the measurement accuracy and reliability of the target geometric parameters of the structural feature of the fetal ultrasonic image can be further improved.
In this optional embodiment, a fitting operation may be performed on the contour of each structural feature based on the determined B (B-spline Curves) spline curve fitting manner and/or ellipse fitting manner, so as to obtain a target contour of the structural feature.
Therefore, according to the optional implementation mode, different fitting modes are selected according to the size of the arc radius of the structural feature of the fetal ultrasound image, so that not only can the fitting of the structural feature be realized, but also the fitting efficiency and accuracy of the structural feature can be improved, the calculation accuracy of the target geometric parameters of the structural feature is improved, and the calculation accuracy of the weight value corresponding to the structural feature is further improved.
In this further alternative 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:
and calculating the ratio of the length of the contour of the overlapped part of the target contour of the structural feature to the perimeter of the target contour, and updating the target geometric parameter corresponding to the structural feature into the ratio. Wherein, 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 smaller than 0.8, the corresponding sub-weight value is 0.8. Therefore, the target geometric parameters corresponding to the structural features are updated to be the ratio of the length of the outline of the overlapped part of the target outline of the structural features to the perimeter of the target outline, so that the accuracy of determining the sub-weight values is improved, and the accuracy of calculating the weight values of the structural features is improved.
In this further alternative 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:
and calculating the ratio of the central angle corresponding to the outline of the structural feature to the 360-degree central angle, and updating the geometric parameters corresponding to the structural feature into the ratio of the central angle corresponding to the outline of the structural feature to the 360-degree central angle.
Therefore, in the optional embodiment, the target geometric parameters corresponding to the structural features are determined in multiple ways, so that the acquisition ways of the target geometric parameters corresponding to the structural features can be enriched, and the acquisition possibility of the target geometric parameters corresponding to the structural features is improved; and 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 structural feature, the contour of the fitted contour at the overlapping part and the central angle corresponding to the contour at the overlapping part is used as the target geometric parameter corresponding to the structural feature, so that the acquisition accuracy of the target geometric parameter corresponding to the structural feature can be improved, and the calculation accuracy of the weight value corresponding to the structural feature can be improved.
In an optional embodiment, before performing step 101, the method for determining a weight value of a structural feature of a fetus may further include the following operations:
inputting the obtained fetal ultrasound image into a predetermined characteristic detection model for analysis;
obtaining an analysis result output by the feature detection model as feature information of the fetal ultrasonic image, wherein the feature information of the fetal ultrasonic image comprises part feature information of the fetal ultrasonic image and structural feature information of the fetal ultrasonic image, the part feature information of the fetal ultrasonic image at least comprises the category of the part feature of the fetal ultrasonic image, the structural feature information of the fetal ultrasonic image at least comprises the category of the structural feature of the fetal ultrasonic image, and the structural feature of the fetal ultrasonic image at least comprises a key structural feature of the fetal ultrasonic image;
and determining a standard section of the fetal ultrasound image according to the category of the position characteristics of the fetal ultrasound image and the category of the structural characteristics of the fetal ultrasound image, and triggering to execute the step 101.
In this alternative embodiment, the fetal ultrasound image may be a single frame fetal ultrasound image, or may also be a continuous or discontinuous plurality of frames fetal ultrasound images, where, when the fetal ultrasound images are a plurality of frames fetal ultrasound images, the fetal ultrasound images may be input into the feature detection model according to a predetermined frame rate, where the predetermined frame rate is related to the structural features of the standard section of the fetal ultrasound image to be acquired, that is, the frame rate is selected according to the structural features of the standard section of the fetal ultrasound image to be acquired, for example: if the structural characteristics of the gastric bleb of the abdominal circumference section need to be acquired, the frame rate can be 30 frames/second; if a four-chamber cardiac slice left atrial structural feature is to be acquired, the frame rate may be 60 frames/second. Therefore, the corresponding frame rate is selected according to the structural characteristics of the standard section of the fetal ultrasonic image to be acquired, the acquisition efficiency and accuracy of the structural characteristics of the standard section of the fetal ultrasonic image to be acquired are improved, and the acquisition efficiency and accuracy of the weight value corresponding to the structural characteristics are improved.
In this alternative embodiment, each fetal ultrasound image has a unique corresponding identifier, for example: the frame number. Therefore, by setting a unique identifier for each frame of fetal ultrasound image, the structural characteristics of the standard section of each frame of fetal ultrasound image can be clearly distinguished in the process of acquiring the structural characteristics of the standard section of the fetal ultrasound image, for example: examined structural features, abnormal structural features, etc., and facilitates management of structural feature information of the fetal ultrasound image and its standard section, such as: and (4) saving the weight value of the structural characteristic.
In this optional embodiment, the feature detection model may include at least one of the determined target detection model, the determined example segmentation model, the determined semantic segmentation model, and the like, which can acquire the position feature information and the structural feature information of the ultrasound image of the fetus.
Therefore, in the optional embodiment, the standard section of the fetal ultrasound image is determined by acquiring the position characteristics and the structural characteristics of the fetal ultrasound image and combining the position characteristics and the structural characteristics of the fetal ultrasound image, so that the determination of the standard section of the fetal ultrasound image is not required to be manually participated in, and the determination accuracy of the standard section of the fetal ultrasound image can be improved; and the fetal ultrasonic image is input into the characteristic detection model for analysis, so that the determination efficiency of the standard tangent plane of the fetal ultrasonic image can be improved, and the weighted value of the structural characteristic can be accurately and quickly acquired.
In the embodiment of the present invention, further optionally, the obtaining of the standard section of the fetal ultrasound image may also be implemented by receiving the standard section of the fetal ultrasound image sent by the authorized terminal device, or storing the standard section of the fetal ultrasound image in a memory of the server in the present embodiment. Therefore, the standard section of the ultrasonic image of the fetus can be obtained through multiple ways, the obtaining mode of the standard section can be enriched, the obtaining possibility of the standard section is improved, and the obtaining efficiency of the weighted value corresponding to the structural characteristic of the standard section is improved.
In another optional embodiment, after the step 102 is performed, the method for determining the weight value of the fetal structural feature may further include the following operations:
and calculating the section score of the standard section of the fetal ultrasonic image based on the weight value corresponding to each structural feature of the standard section of the fetal ultrasonic image and the acquired feature parameters of the structural feature.
In this alternative embodiment, the at least one structural feature in the standard section of the fetal ultrasound image includes at least a key structural feature (also called an infrastructure feature or a main structural feature) of the standard section, and further, may include other structural features besides the key structural feature. For example: the thalamic standard section includes at least one critical structural feature of the hyaline compartment, thalamus and lateral ventricles, and further, the thalamic standard section may include at least one other structural feature of the choroid plexus and lateral cerebrum. Therefore, the more the structural features in the standard tangent plane are, the better the calculation accuracy and reliability of the tangent plane score of the standard tangent plane are improved, and the determination accuracy and reliability of the optimal standard tangent plane are improved. The key structural features of each standard tangent plane are structural features capable of representing the standard tangent plane, namely when the key structural features of the fetal ultrasound image are obtained, the tangent plane score of the standard tangent plane can be determined by calculating the weight value of the key structural features. Therefore, the section score of the standard section of the fetal ultrasound image is directly determined through the weight value of the key structural characteristics of the standard section, and the acquisition efficiency of the score of the standard section can be improved while the accurate section score of the standard section is ensured to be acquired.
Therefore, in the optional embodiment, after the weight value of the structural feature of the standard tangent plane of the fetal ultrasound image is obtained, the feature parameters of the structural feature of the standard tangent plane are further combined, so that the automatic calculation of the tangent plane score of the standard tangent plane is realized, and the calculation accuracy and efficiency of the tangent plane score of the standard tangent plane are improved.
In this optional embodiment, optionally, the feature parameters of the structural feature of the standard section of the fetal ultrasound image may include a category probability and a position probability of the structural feature, and calculating the section score of the standard section of the fetal ultrasound image based on the weight value corresponding to each structural feature of the standard section of the fetal ultrasound image and the acquired feature parameters of the structural feature may include:
calculating a structural score corresponding to each structural feature of the standard section of the fetal ultrasound image 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;
and calculating the sum of the structural scores corresponding to all the structural features of the standard section of the fetal ultrasonic image to serve as the section score of the standard section of the fetal ultrasonic image.
In this alternative embodiment, the section score of the standard section of the fetal ultrasound image is calculated as follows:
Hi＝Pi×Qi×Oi；
wherein S is the section score of the standard section, HiThe structure score of the ith structural feature in the standard section, M is the total number of structural features in the standard section, PiThe class probability (also called confidence) of the ith structural feature in the standard tangent plane,Qiis the position probability of the ith structural feature in the standard tangent plane, OiThe weight value of the ith structural feature in the standard tangent plane, N is the total number of weight value influence factors of the ith structural feature, and OijAnd the weight value is a sub-weight value corresponding to the jth weight value influence factor in the ith structural feature in the standard tangent plane.
In this optional embodiment, further, the feature parameter of the structural feature of the standard section of the fetal ultrasound image further includes a location probability of the structural feature, and at this time, the calculation formula of the structural score of the ith structural feature in the standard section is:
Hi＝Pi×Qi×Oi×Ci；
in the formula, CiThe site probability of the structural feature of the standard tangent plane. Therefore, the more the parameters of the structural characteristics are, the more the calculation accuracy of the structural scores of the structural characteristics is favorably improved, so that the calculation accuracy of the score of the tangent plane of the standard tangent plane is improved, and the determination accuracy and the determination reliability of the optimal standard tangent plane are favorably improved.
Therefore, in the optional implementation mode, the calculation of the section score of the standard section can be realized by respectively calculating the structure score corresponding to each structure feature of the standard section, and the calculation accuracy and efficiency of the section score of the standard section are favorably improved; and different parameters are selected according to different structural characteristics, so that the calculation accuracy and efficiency of the structural scores corresponding to the structural characteristics can be improved, and the calculation accuracy and efficiency of the section scores of the standard sections are further improved.
In yet another optional embodiment, the method for determining the weight value of the fetal structural feature may further include the following operations:
acquiring a positive fetal ultrasound image sample and a negative fetal ultrasound image sample, wherein the pixel value of the positive fetal ultrasound image sample is greater than the pixel value of the negative fetal ultrasound image sample, and the weight value influence factor of the structural feature of each positive sample fetal ultrasound image in the positive fetal ultrasound image sample and each negative sample fetal ultrasound image in the negative fetal ultrasound image sample comprises the definition of the structural feature;
training the determined initial weight value classification model based on the positive fetus ultrasonic image sample and the negative fetus ultrasonic image sample, and acquiring the trained initial weight value classification model as the determined weight value classification model.
In this alternative embodiment, the initial weight value classification model includes a weight value classification model formed by one or a combination of KNN, Bayesian, Neural Network, Ensemble-Stacking, Ensemble-Boosting, Ensemble-Bagging, and the like, which can implement image classification, and this alternative embodiment is not limited thereto.
In this alternative embodiment, the sample fetal ultrasound images included in the positive fetal ultrasound image sample and the negative fetal ultrasound image sample may be screened by the device terminal, may be selected by the relevant person according to experience, or may be determined by both the positive fetal ultrasound image sample and the negative fetal ultrasound image sample.
In this alternative embodiment, since the weight value influence factor includes a plurality of structural features corresponding to the definition 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 a plurality of sub negative fetal ultrasound image samples. Wherein each sub-positive fetal ultrasound image sample corresponds to one sub-negative fetal ultrasound image sample. Further, each sample fetal ultrasound image has a corresponding sample weight value. For example: the positive fetal ultrasound image sample comprises a sub-positive fetal ultrasound image sample containing the structural feature of the transparent compartment and a sub-positive fetal ultrasound image sample containing the structural feature of the arterial duct, and the negative fetal ultrasound image sample comprises a sub-negative fetal ultrasound image sample containing the structural feature of the transparent compartment and a sub-negative fetal ultrasound image sample containing the structural feature of the arterial duct. At this time, the determined initial weight value classification model is trained 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, and the trained initial weight value classification model is obtained and used as the determined weight value classification model. Therefore, the training accuracy of the weighted value classification model can be improved, and the weighted value classification model with high accuracy is obtained.
Therefore, in the optional embodiment, the training operation is performed on the initial weight value classification model based on the sample fetal ultrasonic image in advance, and the accurate weight value classification model meeting the requirement can be obtained, so that the analysis accuracy and reliability of the sub-weight values of the definition of the weight value influence factors including the structural features are improved, and the calculation accuracy and efficiency of the weight values corresponding to the structural features are improved.
Therefore, by implementing the weight value determining method for the fetal structural features described in fig. 1, the weight value of the structural feature in the standard section can be determined according to the weight value influence factor, and the accurate weight value of the structural feature in the standard section of the fetal ultrasound image can be quickly obtained without manual analysis, so that the section score of the standard section of the fetal ultrasound image can be quickly and accurately determined, and the optimal standard section of the fetal ultrasound image can be accurately determined; and by acquiring the weight values of the structural features in the standard section of the fetal ultrasound image, the acquisition accuracy of the section score of the standard section of the fetal ultrasound image is improved, and the acquisition accuracy of the optimal standard section of the fetal ultrasound image is further improved, so that the growth and development conditions of the fetus can be accurately and quickly acquired.
Example two
Referring to fig. 2, fig. 2 is a flowchart illustrating another method for determining a weight value of a fetal structural feature according to an embodiment of the present invention. The method for determining a weight value of a fetal structural feature depicted in fig. 2 may be applied to any server (service device or service system) having a function of determining a weight value, where the server may include a local server or a cloud server, and the embodiment of the present invention is not limited thereto. As shown in fig. 2, the method for determining the weight value of the fetal structural feature may include the following operations:
201. after the standard section of the fetal ultrasonic image is obtained, a weight value influence factor corresponding to at least one structural feature of the standard section of the fetal ultrasonic image is obtained.
202. And determining the weight value corresponding to each structural feature according to the weight value influence factor corresponding to each structural feature, wherein the weight values corresponding to all the structural features are used for determining the section score of the standard section of the fetal ultrasound image.
203. And performing correction operation on the weight values corresponding to all the structural features.
In the embodiment of the present invention, optionally, the correction operation is performed on the weight values corresponding to all the structural features, which may be understood as performing the correction operation on the weight values corresponding to the structural features, or may be understood as performing the correction operation on the sub-weight values of the structural features, where for the correction operation of the sub-weight values, please refer to the related description in the first embodiment, which is not described herein again. Now, the operation of executing the correction on the weight value corresponding to the structural feature is described:
and for any structural feature, determining a corresponding correction coefficient according to the type of the structural feature, and multiplying the weight value corresponding to the structural feature by the correction coefficient to obtain the weight value corresponding to the modified structural feature.
204. And updating the weight value corresponding to each structural feature after the correction operation is performed to the weight value corresponding to the structural feature.
Therefore, after the weight value corresponding to the knot characteristic of the standard section of the fetal ultrasound image is obtained, the method and the device for determining the weight value corresponding to the knot characteristic perform correction operation, can improve the accuracy of determining the weight value corresponding to the knot characteristic, and are beneficial to obtaining the accurate section score of the standard section.
In the embodiment of the present invention, please refer to the detailed description of steps 101 to 102 in the first embodiment for the other descriptions of step 201 and step 202, which is not repeated herein.
In an optional embodiment, after the step 202 is performed and before the step 203 is performed, the method for determining the weight value of the fetal structural feature may further include the following operations:
and judging whether the target structural features with structural abnormality exist in all the structural features, and triggering to execute the step 203 when judging that at least one target structural feature exists.
In this optional embodiment, optionally, when it is determined that the target abnormal structural feature does not exist, the operation of calculating the tangent plane score of the standard tangent plane of the fetal ultrasound image based on the weight value corresponding to each structural feature of the standard tangent plane of the fetal ultrasound image and the acquired feature parameter of the structural feature in the first embodiment may be triggered and executed, where for the relevant description of the operation, please refer to the relevant description in the first embodiment, and details are not repeated here.
Therefore, in the optional embodiment, before the correction operation is performed on the structural features, whether abnormal structural features exist is judged, and when the abnormal structural features exist, the correction operation is performed on the weight values corresponding to the abnormal structural features, so that the accuracy and the reliability of determining the weight values corresponding to the structural features of the standard tangent plane are further improved, the accuracy and the reliability of determining the tangent plane score of the standard tangent plane are further improved, and the reliability of obtaining the more accurate optimal standard tangent plane is further improved.
In this optional embodiment, as an optional implementation manner, the determining whether there is a target structural feature with a structural abnormality in all structural features may include:
acquiring target information of each structural feature of each standard tangent plane, wherein the target information of each structural feature is used for determining whether the structural feature is an abnormal structural feature;
judging whether each structural feature is matched with the standard tangent plane according to the target information of each structural feature of each standard tangent plane;
and when judging that the non-matching structural features which are not matched with the standard section exist in all the structural features, determining that abnormal structural features exist in the standard section, and the target structural features are the non-matching structural features.
Therefore, in the optional embodiment, the determination of the abnormal structural feature can be realized by acquiring the target information of each structural feature of the standard tangent plane and judging whether each structural feature is matched with the corresponding standard tangent plane according to the target information of each structural feature.
In this optional embodiment, optionally, judging whether each structural feature matches with the standard tangent plane according to the target information of each structural feature of each standard tangent plane, may include:
determining a representation type corresponding to each structural feature according to the target information of each structural feature of each standard tangent plane, wherein the representation types comprise numerical representation types and/or feature morphology representation types;
when the expression type of the structural feature is a numerical expression type, judging whether the geometric parameter value corresponding to the acquired structural feature is in a predetermined normal parameter value range, and when the judgment result is negative, determining that the structural feature is not matched with the standard tangent plane in which the structural feature is located;
and when the representation type of the structural feature is a feature form representation type, judging whether the structural feature is located in a detection area of the part feature corresponding to the structural feature, and when the judgment result is negative, determining that the structural feature is not matched with the standard tangent plane in which the structural feature is located.
In this alternative embodiment, the detection area of each part feature may be represented by a detection frame, for example: and selecting a polygonal frame or an elliptical frame.
In this optional embodiment, the geometric parameter value corresponding to each structural feature includes a cross diameter corresponding to the structural feature and/or a circumference corresponding to the structural feature, so that the more the geometric parameter value includes, the more the judgment accuracy of matching the structural feature with the standard tangent plane where the structural feature is located is facilitated to be improved. The different structural characteristics all have corresponding normal parameter value ranges, wherein the normal parameter value ranges corresponding to the different structural characteristics may be the same or different. Furthermore, 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 a proportional dimension and/or an actual dimension. Specifically, after the proportional size corresponding to the structural feature is judged to be within the range of the predetermined normal parameter value, the actual size corresponding to the structural feature is further obtained, whether the actual size is within the range of the predetermined normal size is judged, and when the judgment result is negative, the structural feature is determined not to be matched with the standard tangent plane in which the structural feature is located. Therefore, by comparing the proportional size and the actual size of the structural feature with respective normal values, the accuracy of determining whether the structural feature is matched with the standard tangent plane can be improved, the condition of error correction of the tangent plane score of the abnormal standard tangent plane is reduced, and the accuracy and the reliability of correction of the tangent plane score of the abnormal standard tangent plane are improved.
The structural features of the numerical representation type and the feature morphology representation type are now illustrated, respectively:
the (one) numerical value represents the type: when the detected structural feature is a critical widening feature of a lateral ventricle, inputting profile information of the critical widening feature of the lateral ventricle into a measuring module for measurement to obtain a transverse diameter (proportional size) of the critical widening feature of the lateral ventricle, judging whether the transverse diameter is greater than or equal to 12 pixels, and if so, judging that the critical widening feature of the lateral ventricle is an abnormal structural feature, namely that the critical widening feature of the lateral ventricle is not matched with a standard tangent plane where the critical widening feature of the lateral ventricle is located. Further, after the transverse diameter of the critical widening feature of the lateral ventricle is obtained, the actual size of the critical widening feature of the lateral ventricle is calculated according to the transverse diameter and the scale of the fetal ultrasound image, whether the actual size is larger than or equal to 10mm or not is judged, if the judgment result is yes, the critical widening feature of the lateral ventricle is an abnormal structural feature, namely the critical widening feature of the lateral ventricle is not matched with the standard tangent plane where the critical widening feature of the lateral ventricle is located. Still further, when the cross diameter of the critical widening feature of the lateral ventricle is judged to be smaller than 12 pixels and/or the actual size of the critical widening feature of the lateral ventricle is judged to be smaller than 10mm, the critical widening feature of the lateral ventricle is determined to be a normal structural feature, and the critical widening feature of the lateral ventricle is modified into a normal lateral ventricle feature, namely the critical widening feature of the lateral ventricle is matched with the standard tangent plane of the critical widening feature of the lateral ventricle.
(II) characteristic morphology representation type: and when the detected structural feature is the structural feature of the choroid from the cyst, determining whether the structural feature of the choroid from the cyst is present in the detection area of the lateral ventricle, and when the structural feature of the choroid from the cyst is present in the detection area of the lateral ventricle, determining that the structural feature of the choroid from the cyst is an abnormal structural feature, namely determining that the structural feature of the choroid from the cyst is not matched with the standard section in which the structural feature of the choroid from the cyst is present. Further, when detecting that the structural feature of the choroid secondary cyst appears in the detection area of the lateral ventricle, judging whether the structural feature of the choroid secondary cyst exists in 4 frames of fetal ultrasonic images, and when the judgment result is yes, determining that the structural feature of the choroid secondary cyst does not match the standard tangent plane in which the structural feature of the choroid secondary cyst exists.
Therefore, when the structural feature of the ultrasonic image of the fetus is judged, the optional embodiment judges whether the structural feature is matched with the standard section where the structural feature is located or not through the acquired geometric parameter value of the structural feature, or judges whether the structural feature is located in the detection area of the corresponding part feature, so that the judgment on whether the structural feature is matched with the standard section where the structural feature is located or not is realized, and the determination possibility, the accuracy and the efficiency of whether the structural feature is an abnormal structural feature can be improved.
Therefore, by implementing the weight value determining method for the fetal structural features described in fig. 2, the weight value of the structural feature in the standard section can be determined according to the weight value influence factor, and the accurate weight value of the structural feature in the standard section of the fetal ultrasound image can be quickly obtained without manual analysis, so that the section score of the standard section of the fetal ultrasound image can be quickly and accurately determined, and the optimal standard section of the fetal ultrasound image can be accurately determined; and by acquiring the weight values of the structural features in the standard section of the fetal ultrasound image, the acquisition accuracy of the section score of the standard section of the fetal ultrasound image is improved, and the acquisition accuracy of the optimal standard section of the fetal ultrasound image is further improved, so that the growth and development conditions of the fetus can be accurately and quickly acquired.
EXAMPLE III
Referring to fig. 3, fig. 3 is a schematic structural diagram of a weight value determining device for fetal structural characteristics according to an embodiment of the present invention. The weight value determination apparatus for fetal structural characteristics depicted in fig. 3 may be applied to any server (service device or service system) having a function of determining a weight value, where the server may include a local server or a cloud server. As shown in fig. 3, the apparatus for determining a weight value of a fetal structural feature may include an obtaining module 301 and a determining module 302, wherein:
the obtaining module 301 is configured to, after obtaining the standard section of the fetal ultrasound image, obtain a weight value influence factor corresponding to at least one structural feature of the standard section of the fetal ultrasound image.
The determining module 302 is configured to determine a weight value corresponding to each structural feature according to the weight value influence factor corresponding to each structural feature, where the weight values corresponding to all the structural features are used to determine a section score of a standard section of the fetal ultrasound image.
It can be seen that, by implementing the weight value determining device for the fetal structural characteristics described in fig. 3, the weight value of the structural characteristics in the standard section can be determined according to the weight value influence factors, and the accurate weight value of the structural characteristics in the standard section of the fetal ultrasound image can be quickly obtained without manual analysis, so that the section score of the standard section of the fetal ultrasound image can be quickly and accurately determined, and the optimal standard section of the fetal ultrasound image can be accurately determined; and by acquiring the weight values of the structural features in the standard section of the fetal ultrasound image, the acquisition accuracy of the section score of the standard section of the fetal ultrasound image is improved, and the acquisition accuracy of the optimal standard section of the fetal ultrasound image is further improved, so that the growth and development conditions of the fetus can be accurately and quickly acquired.
In an optional embodiment, the number of the weight value influence factors corresponding to each structural feature is greater than or equal to 1, and each weight value influence factor has a corresponding sub-weight value. As shown in fig. 4, the determining module 302 includes a determining sub-module 3021 and a calculating sub-module 3022, wherein:
the determining submodule 3021 is configured to determine, according to each weight value influence factor corresponding to each structural feature, a sub-weight value corresponding to each weight value influence factor.
The calculating submodule 3022 is configured to calculate a sum of all sub weight values corresponding to each structural feature, as a weight value corresponding to each structural feature.
It can be seen that, by implementing the determining device described in fig. 4, the weight value influence factor corresponding to each structural feature can be determined in a targeted manner, and the sub-weight values corresponding to all the weight value influence factors are determined as the weight values corresponding to the structural feature, so that the calculation accuracy of the weight values of the structural features can be improved, the calculation accuracy of the section score corresponding to the standard section can be improved, and the determination accuracy of the optimal standard section can be improved.
In yet another optional embodiment, as shown in fig. 4, the determining sub-module 3021 determines, according to each weight value influence factor corresponding to each structural feature, a sub-weight value corresponding to each weight value influence factor specifically by:
for any structural feature, when the weight value influence factor corresponding to the structural feature comprises the geometric parameter corresponding to the structural feature, determining a sub-weight value matched with 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 influence factor corresponding to the structural feature comprises the definition of the structural feature, inputting the fetal ultrasound image corresponding to the structural feature into the determined weight value classification model for analysis, and obtaining an analysis result output by the weight value classification model as a sub-weight value corresponding to the definition of the structural feature;
for any structural feature, when the key weight value influence factor corresponding to the structural feature comprises the integrity of the structural feature, calculating a target geometric parameter corresponding to the structural feature according to the outline of the structural feature, and determining a sub-weight value corresponding to the integrity of the structural feature according to the target geometric parameter corresponding to the structural feature;
for any structural feature, when the weight value influence factor corresponding to the structural feature comprises the proportion of the structural feature, determining a sub-weight value matched with the proportion of the structural feature according to the proportion of the structural feature, wherein the proportion of each structural feature is used for representing the display proportion of the structural feature and the display device.
In this optional embodiment, optionally, the determining submodule 3021 determines, according to the geometric parameter corresponding to the structural feature, a sub-weight value matched with the geometric parameter corresponding to the structural feature in a specific manner:
when the geometric parameters corresponding to the structural feature comprise the geometric parameters corresponding to the outline of the structural feature, determining the sub-weight values corresponding to the geometric parameters corresponding to the outline of the structural feature according to the geometric parameters corresponding to the outline of the structural feature, wherein the geometric parameters corresponding to the outline of the structural feature comprise the size and/or area corresponding to the outline;
when the geometric parameters of the contour of the structural feature comprise the position of the structural feature in the standard tangent plane, determining the sub-weight value corresponding to the position of the structural feature in the standard tangent plane based on the relative position relationship between the brain midline corresponding to the structural feature and the region surrounded by the contour of the structural feature.
In this optional embodiment, optionally, the determining submodule 3021 determines, according to the geometric parameter corresponding to the contour of the structural feature, a sub-weight value corresponding to the geometric parameter corresponding to the contour of the structural feature in a specific manner:
when the geometric parameters corresponding to the outline of the structural feature comprise the dimension corresponding to the outline, determining the direction of the dimension corresponding to the outline of the structural feature on the standard tangent plane, determining the angle formed by the dimension corresponding to the outline of the structural feature and the ultrasonic virtual beam according to the direction of the dimension corresponding to the outline of the structural feature on the standard tangent plane and the direction of the ultrasonic virtual beam on the standard tangent plane, and determining the sub-weight value corresponding to the angle according to the size of the angle.
In this optional embodiment, optionally, the determining submodule 3021 determines, based on the relative position relationship between the brain midline corresponding to the structural feature and the region surrounded by the contour of the structural feature, a sub-weight value corresponding to the position of the structural feature in the standard tangent plane in a specific manner:
when an intersection point exists between the brain midline corresponding to the structural feature and an area surrounded by the outline of the structural feature, determining the intersection point condition between the outline of the structural feature and the brain midline, and determining the sub-weight value corresponding to the position of the standard tangent plane where the structural feature is located according to the intersection point condition, wherein the intersection point condition comprises the intersection point position and/or the intersection point number between the outline of the structural feature and the brain midline;
when no intersection point exists between the brain midline corresponding to the structural feature and the region surrounded by the outline of the structural feature, determining a distance value between the brain midline corresponding to the structural feature and the outline of the structural feature, and determining a sub-weight value corresponding to the position of the structural feature in the standard tangent plane according to the distance value.
It can be seen that, by implementing the determining apparatus described in fig. 4, the corresponding sub-weight value determining manner can be selected according to different weight value influence factors, so that not only can the sub-weight value corresponding to the weight value influence factor be obtained, but also the obtaining efficiency and accuracy of the sub-weight value can be improved, thereby improving the calculation accuracy and efficiency of the weight value corresponding to the structural feature, and further improving the calculation accuracy and efficiency of the tangent plane score corresponding to the standard tangent plane.
In yet another alternative embodiment, as shown in fig. 4, the determining submodule 3021 calculates the target geometric parameter corresponding to the structural feature according to the contour of the structural feature in a specific manner:
calculating the length of the outline of the structural feature as a target geometric parameter corresponding to the structural feature; and/or the presence of a gas in the gas,
determining a central point corresponding to the contour of the structural feature, and determining a central angle corresponding to the contour of the structural feature as a target geometric parameter corresponding to the structural feature based on the central point corresponding to the contour of the structural feature and the contour of the structural feature; and/or the presence of a gas in the gas,
fitting the contour of the structural feature based on the determined fitting method to obtain a target contour of the structural feature;
and/or determining a central point corresponding to the target contour of the structural feature, and determining a central angle corresponding to the overlapped part contour as the target geometric parameter corresponding to the structural feature based on the central point corresponding to the target contour of the structural feature and the overlapped part contour.
It can be seen that, by implementing the determination apparatus described in fig. 4, different fitting modes can be selected according to the size of the circular arc radius of the structural feature of the fetal ultrasound image, so that not only can the fitting of the structural feature be realized, but also the fitting efficiency and accuracy of the structural feature can be improved, and thus the calculation accuracy of the target geometric parameter of the structural feature is improved, and further the calculation accuracy of the weight value corresponding to the structural feature is improved.
In yet another alternative 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, 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, perform a correction operation on the weight values corresponding to all the structural features.
An updating module 304, configured to update the weight value corresponding to each structural feature after the correction operation is performed to the weight value corresponding to each structural feature.
Therefore, by implementing the determining device described in fig. 4, after obtaining the weight value corresponding to the knot feature of the standard section of the fetal ultrasound image, the correction operation is performed on the weight value corresponding to the knot feature, so that the accuracy of determining the weight value corresponding to the knot feature can be improved, and the acquisition of the accurate section score of the standard section is facilitated.
Example four
Referring to fig. 5, fig. 5 is a diagram illustrating a weight value determining apparatus for fetal structural characteristics according to another embodiment of the present invention. The weight value determining apparatus for fetal structure characteristics depicted in fig. 5 may be applied to a weight value determining server (service device), where the weight value determining server may include a local weight value determining server or a cloud weight value determining server, and the embodiment of the present invention is not limited thereto. As shown in fig. 5, the weight value determining device for fetal structural characteristics may include:
a memory 501 in which executable program code is stored;
a processor 502 coupled to a memory 501;
further, an input interface 503 and an output interface 504 coupled to the processor 502 may be included;
the processor 502 calls the executable program code stored in the memory 501 for executing part or all of the steps of the method for determining the weight value of the fetal structural feature described in the first embodiment or the second embodiment.
EXAMPLE five
The embodiment of the 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 part or all of the steps of the weight value determination method of the fetal structure characteristics described in the first embodiment or the second embodiment.
EXAMPLE six
An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform some or all of the steps of the method for determining a weight value of a fetal structural feature described in the first embodiment or the second embodiment.
The above-described embodiments of the apparatus are merely illustrative, and the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above detailed description of the embodiments, those skilled in the art will clearly understand that the embodiments may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. Based on such understanding, the above technical solutions may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, where the storage medium includes a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc-Read-Only Memory (CD-ROM), or other disk memories, CD-ROMs, or other magnetic disks, A tape memory, or any other medium readable by a computer that can be used to carry or store data.
Finally, it should be noted that: the method and the device for determining a weight value of a fetal structural feature disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, and are only used for illustrating the technical solution of the present invention, not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for determining a weight value of a structural feature of a fetus is characterized by comprising the following steps:
after a standard section of the fetal ultrasonic image is obtained, obtaining a weight value influence factor corresponding to at least one structural feature of the standard section of the fetal ultrasonic image;
and determining a weight value corresponding to each structural feature according to the weight value influence factor corresponding to each structural feature, wherein the weight values corresponding to all the structural features are used for determining the section score of the standard section of the fetal ultrasound image.
2. The method for determining the weight value of the fetal structural feature of claim 1, wherein the number of the 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;
and determining the weight value corresponding to each structural feature according to the weight value influence factor corresponding to the structural feature, including:
determining a sub-weight value corresponding to each weight value influence factor according to each weight value influence factor corresponding to each structural feature;
and calculating the sum of all the sub-weight values corresponding to each structural feature as the weight value corresponding to each structural feature.
3. The method for determining a weight value of a fetal structural feature according to claim 2, wherein the determining a sub-weight value corresponding to each weight value influence factor according to each weight value influence factor corresponding to each structural feature comprises:
for any structural feature, when the weight value influence factor corresponding to the structural feature includes a geometric parameter corresponding to the structural feature, determining a sub-weight value matched with 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 influence factor corresponding to the structural feature includes the definition of the structural feature, inputting the fetal ultrasound image corresponding to the structural feature into the determined weight value classification model for analysis, and acquiring an analysis result output by the weight value classification model as a sub-weight value corresponding to the definition of the structural feature;
for any structural feature, when the weight value influence factor corresponding to the structural feature includes the integrity of the structural feature, calculating a target geometric parameter corresponding to the structural feature according to the contour of the structural feature, and determining a sub-weight value corresponding to the integrity of the structural feature according to the target geometric parameter corresponding to the structural feature;
for any one of the structural features, when the weight value influence factor corresponding to the structural feature includes the proportion of the structural feature, determining a sub-weight value matched with the proportion of the structural feature according to the proportion of the structural feature, wherein the proportion of each structural feature is used for representing the display proportion of the structural feature and the display device where the structural feature is located.
4. The method for determining the weight value of the structural feature of the fetus according to claim 3, wherein the determining the sub-weight value matched with the geometric parameter corresponding to the structural feature according to the geometric parameter corresponding to the structural feature comprises:
when the geometric parameters corresponding to the structural feature comprise the geometric parameters corresponding to the contour of the structural feature, determining a sub-weight value corresponding to the geometric parameters corresponding to the contour of the structural feature according to the geometric parameters corresponding to the contour of the structural feature, wherein the geometric parameters corresponding to the contour of the structural feature comprise the size and/or area corresponding to the contour;
and when the geometric parameters of the contour of the structural feature comprise the position of the structural feature in the standard tangent plane, determining the sub-weight value corresponding to the position of the structural feature in the standard tangent plane based on the relative position relationship between the brain midline corresponding to the structural feature and the region surrounded by the contour of the structural feature.
5. The method for determining the weighted value of the fetal structural feature of claim 4, wherein the determining the sub-weighted value corresponding to the structural feature in the position of the standard tangent plane based on the relative position relationship between the brain midline corresponding to the structural feature and the region surrounded by the contour of the structural feature comprises:
when an intersection point exists between the brain midline corresponding to the structural feature and an area surrounded by the outline of the structural feature, determining the intersection point condition between the outline of the structural feature and the brain midline, and determining a sub-weight value corresponding to the position of the structural feature in the standard tangent plane according to the intersection point condition, wherein the intersection point condition comprises the intersection point position and/or the intersection point number between the outline of the structural feature and the brain midline;
when no intersection point exists between the brain midline corresponding to the structural feature and the region surrounded by the outline of the structural feature, determining a distance value between the brain midline corresponding to the structural feature and the outline of the structural feature, and determining a sub-weight value corresponding to the position of the structural feature in the standard tangent plane according to the distance value.
6. The method for determining the weight value of the fetal structural feature according to claim 3, wherein the calculating the target geometric parameter corresponding to the structural feature according to the contour of the structural feature comprises:
calculating the length of the contour of the structural feature as a target geometric parameter corresponding to the structural feature; and/or the presence of a gas in the gas,
determining a central point corresponding to the contour of the structural feature, and determining a central angle corresponding to the contour of the structural feature as a target geometric parameter corresponding to the structural feature based on the central point corresponding to the contour of the structural feature and the contour of the structural feature; and/or the presence of a gas in the gas,
fitting the contour of the structural feature based on the determined fitting method to obtain a target contour of the structural feature;
calculating the length of the outline of the structural feature and the outline of the overlapped part of the target outline of the structural feature to be used as a target geometric parameter corresponding to the structural feature, and/or determining the central point corresponding to the target outline of the structural feature, and determining the central angle corresponding to the overlapped part outline based on the central point corresponding to the target outline of the structural feature and the overlapped part outline to be used as the target geometric parameter corresponding to the structural feature.
7. The method for determining the weighted value of the structural feature of the fetus according to claim 4, wherein the determining the sub-weighted 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 comprises:
when the geometric parameters corresponding to the contour of the structural feature comprise the dimension corresponding to the contour, determining the direction of the dimension corresponding to the contour of the structural feature on the standard tangent plane, determining the angle formed by the dimension corresponding to the contour of the structural feature and the ultrasonic virtual beam according to the direction of the dimension corresponding to the contour of the structural feature on the standard tangent plane and the direction of the ultrasonic virtual beam on the standard tangent plane, and determining the sub-weight value corresponding to the angle according to the size of the angle.
8. The method for determining the weight value of the structural feature of the fetus according to any one of claims 1 to 7, wherein after determining the weight value corresponding to each structural feature according to the weight value influence factor corresponding to the structural feature, the method comprises:
performing correction operation on the weight values corresponding to all the structural features;
and updating the weight value corresponding to each structural feature after the correction operation is executed to the weight value corresponding to the structural feature.
9. An apparatus for determining a weight value of a structural feature of a fetus, the apparatus comprising:
the acquisition module is used for acquiring a weight value influence factor corresponding to at least one structural feature of a standard section of the fetal ultrasound image after the standard section of the fetal ultrasound image is acquired;
and the determining module is used for determining 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 the structural features are used for determining the section score of the standard section of the fetal ultrasound image.
10. An apparatus for determining a weight value of a structural feature of a fetus, the apparatus comprising:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the method for determining the weight value of a fetal structural feature of any one of claims 1-8.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101791231A (en) * | 2010-01-28 | 2010-08-04 | 深圳市妇幼保健院 | Image processing method for automatically judging fetal hydrocephalus from ultrasonic images |
| CN103927559A (en) * | 2014-04-17 | 2014-07-16 | 深圳大学 | Automatic recognition method and system of standard section of fetus face of ultrasound image |
| CN104203110A (en) * | 2012-03-26 | 2014-12-10 | 毛伊图像公司 | Systems and methods for improving ultrasound image quality by applying weighting factors |
| US20160074006A1 (en) * | 2014-09-12 | 2016-03-17 | General Electric Company | Method and system for fetal visualization by computing and displaying an ultrasound measurment and graphical model |
| WO2018095058A1 (en) * | 2016-11-22 | 2018-05-31 | 深圳开立生物医疗科技股份有限公司 | Three-dimensional ultrasonic fetal face profile image processing method and system |
| CN110464380A (en) * | 2019-09-12 | 2019-11-19 | 李肯立 | A kind of method that the ultrasound cross-section image of the late pregnancy period fetus of centering carries out quality control |
| CN110604592A (en) * | 2019-03-04 | 2019-12-24 | 北京大学第三医院 | Hip joint imaging method and hip joint imaging system |
| CN111127305A (en) * | 2019-10-14 | 2020-05-08 | 李胜利 | Method for automatically obtaining standard tangent plane based on three-dimensional volume of fetal craniofacial part in early pregnancy |
| CN111402244A (en) * | 2020-03-20 | 2020-07-10 | 华侨大学 | Automatic classification method for standard fetal heart tangent planes |
Family Cites Families (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7995820B2 (en) * | 2007-03-30 | 2011-08-09 | Siemens Medical Solutions Usa, Inc. | System and method for detection of fetal anatomies from ultrasound images using a constrained probabilistic boosting tree |
| US9229956B2 (en) * | 2011-01-10 | 2016-01-05 | Microsoft Technology Licensing, Llc | Image retrieval using discriminative visual features |
| KR20140066573A (en) * | 2012-11-23 | 2014-06-02 | 삼성메디슨 주식회사 | Ultrasound system and method for providing biometry information of fetus |
| US20160000401A1 (en) * | 2014-07-07 | 2016-01-07 | General Electric Company | Method and systems for adjusting an imaging protocol |
| WO2016131185A1 (en) * | 2015-02-16 | 2016-08-25 | 深圳迈瑞生物医疗电子股份有限公司 | 3d imaging data display processing method and 3d ultrasonic imaging method and system |
| CN110009640B (en) * | 2018-11-20 | 2023-09-26 | 腾讯科技（深圳）有限公司 | Method, apparatus and readable medium for processing cardiac video |
| CN110742654B (en) * | 2019-11-05 | 2020-11-17 | 深圳度影医疗科技有限公司 | Method for positioning and measuring standard tangent plane based on three-dimensional ultrasonic image |
| CN112155602B (en) * | 2020-09-24 | 2023-05-05 | 广州爱孕记信息科技有限公司 | Method and device for determining optimal standard section of fetus |
| CN112184656B (en) * | 2020-09-24 | 2024-04-16 | 广州爱孕记信息科技有限公司 | Method and device for determining fetal section based on ultrasonic dynamic image |
| CN112155601B (en) * | 2020-09-24 | 2022-12-30 | 广州爱孕记信息科技有限公司 | Method and device for determining imaging quality control of fetal ultrasound image |
| CN112215806A (en) * | 2020-09-24 | 2021-01-12 | 广州爱孕记信息科技有限公司 | Output control method, device and system for detection result of fetus ultrasonic image |
| CN112155603B (en) * | 2020-09-24 | 2023-06-09 | 广州爱孕记信息科技有限公司 | Weight value determining method and device for fetal structural characteristics |
-
2020
- 2020-09-24 CN CN202011015680.6A patent/CN112155603B/en active Active
-
2021
- 2021-05-28 WO PCT/CN2021/096819 patent/WO2022062457A1/en active Application Filing
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101791231A (en) * | 2010-01-28 | 2010-08-04 | 深圳市妇幼保健院 | Image processing method for automatically judging fetal hydrocephalus from ultrasonic images |
| CN104203110A (en) * | 2012-03-26 | 2014-12-10 | 毛伊图像公司 | Systems and methods for improving ultrasound image quality by applying weighting factors |
| CN103927559A (en) * | 2014-04-17 | 2014-07-16 | 深圳大学 | Automatic recognition method and system of standard section of fetus face of ultrasound image |
| US20160074006A1 (en) * | 2014-09-12 | 2016-03-17 | General Electric Company | Method and system for fetal visualization by computing and displaying an ultrasound measurment and graphical model |
| WO2018095058A1 (en) * | 2016-11-22 | 2018-05-31 | 深圳开立生物医疗科技股份有限公司 | Three-dimensional ultrasonic fetal face profile image processing method and system |
| CN110604592A (en) * | 2019-03-04 | 2019-12-24 | 北京大学第三医院 | Hip joint imaging method and hip joint imaging system |
| CN110464380A (en) * | 2019-09-12 | 2019-11-19 | 李肯立 | A kind of method that the ultrasound cross-section image of the late pregnancy period fetus of centering carries out quality control |
| CN111127305A (en) * | 2019-10-14 | 2020-05-08 | 李胜利 | Method for automatically obtaining standard tangent plane based on three-dimensional volume of fetal craniofacial part in early pregnancy |
| CN111402244A (en) * | 2020-03-20 | 2020-07-10 | 华侨大学 | Automatic classification method for standard fetal heart tangent planes |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022062457A1 (en) * | 2020-09-24 | 2022-03-31 | 广州爱孕记信息科技有限公司 | Method and apparatus for determining weight values of fetal structure features |
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