WO2022062457A1 - Procédé et appareil pour déterminer des valeurs de poids de caractéristiques de structure fœtale - Google Patents

Procédé et appareil pour déterminer des valeurs de poids de caractéristiques de structure fœtale Download PDF

Info

Publication number
WO2022062457A1
WO2022062457A1 PCT/CN2021/096819 CN2021096819W WO2022062457A1 WO 2022062457 A1 WO2022062457 A1 WO 2022062457A1 CN 2021096819 W CN2021096819 W CN 2021096819W WO 2022062457 A1 WO2022062457 A1 WO 2022062457A1
Authority
WO
WIPO (PCT)
Prior art keywords
structural feature
weight value
contour
structural
sub
Prior art date
Application number
PCT/CN2021/096819
Other languages
English (en)
Chinese (zh)
Inventor
谢红宁
汪南
冼建波
梁喆
刘树郁
Original Assignee
广州爱孕记信息科技有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 广州爱孕记信息科技有限公司 filed Critical 广州爱孕记信息科技有限公司
Publication of WO2022062457A1 publication Critical patent/WO2022062457A1/fr

Links

Images

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/08—Detecting organic movements or changes, e.g. tumours, cysts, swellings
    • A61B8/0866—Detecting organic movements or changes, e.g. tumours, cysts, swellings involving foetal diagnosis; pre-natal or peri-natal diagnosis of the baby
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/5215—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data
    • A61B8/5223—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data for extracting a diagnostic or physiological parameter from medical diagnostic data
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/5215—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data
    • A61B8/523—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data for generating planar views from image data in a user selectable plane not corresponding to the acquisition plane
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Definitions

  • the present invention relates to the technical field of information processing, and in particular, to a method and device for determining a weight value of a fetal structural feature.
  • the optimal fetal standard section becomes the key point for accurate determination of fetal growth and development.
  • the method for determining the optimal standard fetal section is as follows: by analyzing a single fetal ultrasound picture, a preliminary fetal standard section is obtained. Further, after the preliminary fetal standard section is obtained, an experienced staff member analyzes the preliminary fetal standard section, thereby Complete the final determination of the optimal standard section of the fetus.
  • the technical problem to be solved by the present invention is to provide a method and a device for determining the weight value of the fetal structural feature.
  • a first aspect of the present invention discloses a method for determining the weight value of fetal structural features, the method comprising:
  • the weight value corresponding to each structural feature is determined according to the weight value influence factor corresponding to the structural feature, and the weight values corresponding to all the structural features are used to determine the slice score of the standard slice of the fetal ultrasound image.
  • the number of weight value influence factors corresponding to each of the structural features is greater than or equal to 1, and each of the weight value influence factors has a corresponding sub-weight value ;
  • determining the weight value corresponding to the structural feature according to the weight value influence factor corresponding to each of the structural features includes:
  • each of the weight value influence factors corresponding to each of the structural features determine the sub-weight value corresponding to each of the weight value influence factors
  • the sum of all the sub-weight values corresponding to each of the structural features is calculated as a weight value corresponding to each of the structural features.
  • the sub-weight corresponding to each of the weight value influence factors is determined according to each of the weight value influence factors corresponding to each of the structural features values, including:
  • the weight value influencing factor corresponding to the structural feature includes the geometric parameter corresponding to the structural feature
  • the geometric parameter corresponding to the structural feature is determined according to the geometric parameter corresponding to the structural feature.
  • the weight value influencing factor corresponding to the structural feature includes the clarity of the structural feature
  • the weight value influencing factor corresponding to the structural feature when the weight value influencing factor corresponding to the structural feature includes the integrity of the structural feature, calculate the target geometric parameter corresponding to the structural feature according to the outline of the structural feature, and Determine the sub-weight value corresponding to the integrity of the structural feature according to the target geometric parameter corresponding to the structural feature;
  • the weight value influencing factor corresponding to the structural feature includes the proportion of the structural feature, it is determined that the proportion of the structural feature matches the proportion of the structural feature.
  • the sub-weight value of , and the proportion of each structural feature is used to represent the display ratio of the structural feature to the display device where it is located.
  • determining the sub-weight value matching the geometric parameter corresponding to the structural feature according to the geometric parameter corresponding to the structural feature includes:
  • the geometric parameter corresponding to the structural feature includes the geometric parameter corresponding to the contour of the structural feature
  • the sub-weight value corresponding to the geometric parameter corresponding to the contour of the structural feature is determined according to the geometric parameter corresponding to the contour of the structural feature
  • the geometric parameters corresponding to the contour of the structural feature include the size and/or area corresponding to the contour
  • the geometric parameters of the contour of the structural feature include the position of the structural feature in the standard section
  • the relative positional relationship between the midline of the brain corresponding to the structural feature and the area enclosed by the contour of the structural feature is determined to determine the The sub-weight value corresponding to the position of the structural feature in the standard section.
  • the structural feature is determined based on the relative positional relationship between the midline of the brain corresponding to the structural feature and the area enclosed by the contour of the structural feature.
  • the sub-weight value corresponding to the position of the standard slice including:
  • calculating the target geometric parameter corresponding to the structural feature according to the outline of the structural feature includes:
  • the center angle corresponding to the overlapping portion contour is determined as the target geometric parameter corresponding to the structural feature.
  • the sub-weight value corresponding to the geometrical parameter corresponding to the outline of the described structural feature including:
  • the geometric parameter corresponding to the contour of the structural feature includes the size corresponding to the contour
  • the direction on the standard slice and the direction of the ultrasonic virtual beam on the standard slice determine the size corresponding to the contour of the structural feature and the angle formed by the ultrasonic virtual beam, and determine the angle corresponding to the angle according to the size of the angle
  • the method includes:
  • the weight value corresponding to each of the structural features after performing the correction operation is updated to the weight value corresponding to each of the structural features.
  • the method further includes:
  • the method further includes:
  • the slice score of the standard slice of the fetal ultrasound image is calculated.
  • a second aspect of the present invention discloses an apparatus for determining a weight value of a fetal structural feature, the apparatus comprising:
  • an acquisition module configured to acquire a weight value influence factor corresponding to at least one structural feature of the standard slice of the fetal ultrasound image after acquiring the standard slice of the fetal ultrasound image;
  • the determination module is used to determine the corresponding weight value of the structural feature according to the weight value influence factor corresponding to each of the structural features, and the corresponding weight values of all the structural features are used to determine the section score of the standard section of the fetal ultrasound image. value.
  • the number of weight value influence factors corresponding to each of the structural features is greater than or equal to 1, and each of the weight value influence factors has a corresponding sub-weight value ;
  • the determining module includes a determining sub-module and a calculating sub-module, wherein:
  • the determining sub-module is configured to determine the sub-weight value corresponding to each of the weight value influence factors according to each of the weight value influence factors corresponding to each of the structural features;
  • the calculation sub-module is configured to calculate the sum of all the sub-weight values corresponding to each of the structural features as the weight value corresponding to each of the structural features.
  • the determining submodule determines the corresponding weight value influencing factor according to each weight value influencing factor corresponding to each structural feature
  • the way of the sub-weight value of is as follows:
  • the weight value influencing factor corresponding to the structural feature includes the geometric parameter corresponding to the structural feature
  • the geometric parameter corresponding to the structural feature is determined according to the geometric parameter corresponding to the structural feature.
  • the weight value influencing factor corresponding to the structural feature includes the clarity of the structural feature
  • the weight value influencing factor corresponding to the structural feature when the weight value influencing factor corresponding to the structural feature includes the integrity of the structural feature, calculate the target geometric parameter corresponding to the structural feature according to the outline of the structural feature, and Determine the sub-weight value corresponding to the integrity of the structural feature according to the target geometric parameter corresponding to the structural feature;
  • the weight value influencing factor corresponding to the structural feature includes the proportion of the structural feature, it is determined that the proportion of the structural feature matches the proportion of the structural feature.
  • the sub-weight value of , and the proportion of each structural feature is used to represent the display ratio of the structural feature to the display device where it is located.
  • the determining submodule determines a sub-weight value matching the geometric parameter corresponding to the structural feature according to the geometric parameter corresponding to the structural feature. Specifically:
  • the geometric parameter corresponding to the structural feature includes the geometric parameter corresponding to the contour of the structural feature
  • the sub-weight value corresponding to the geometric parameter corresponding to the contour of the structural feature is determined according to the geometric parameter corresponding to the contour of the structural feature
  • the geometric parameters corresponding to the contour of the structural feature include the size and/or area corresponding to the contour
  • the geometric parameters of the contour of the structural feature include the position of the structural feature in the standard section
  • the relative positional relationship between the midline of the brain corresponding to the structural feature and the area enclosed by the contour of the structural feature is determined to determine the The sub-weight value corresponding to the position of the structural feature in the standard section.
  • the determining submodule determines the The specific method of sub-weight value corresponding to the position of the structural feature in the standard section is as follows:
  • the method for calculating the target geometric parameter corresponding to the structural feature by the determining submodule according to the outline of the structural feature is specifically:
  • the center angle corresponding to the overlapping portion contour is determined as the target geometric parameter corresponding to the structural feature.
  • the determining submodule determines the sub-weight value corresponding to the geometric parameter corresponding to the contour of the structural feature according to the geometric parameter corresponding to the contour of the structural feature
  • the method is specifically:
  • the geometric parameter corresponding to the contour of the structural feature includes the size corresponding to the contour
  • the direction on the standard slice and the direction of the ultrasonic virtual beam on the standard slice determine the size corresponding to the contour of the structural feature and the angle formed by the ultrasonic virtual beam, and determine the angle corresponding to the angle according to the size of the angle
  • the device further includes:
  • a preprocessing module configured to perform a correction operation on the weight values corresponding to all the structural features after the determining module determines the weight value corresponding to the structural feature according to the weight value influence factor corresponding to each of the structural features;
  • An update module configured to update the weight value corresponding to each of the structural features after the correction operation is performed to the weight value corresponding to each of the structural features.
  • the acquiring module is further configured to acquire feature parameters of each of the structural features of the standard section;
  • the device also includes:
  • the calculation module is configured to, after the determination module determines the weight value corresponding to the structural feature according to the weight value influence factor corresponding to each of the structural features, the weight value corresponding to each of the structural features based on the standard section and For the characteristic parameter of the structural feature, the slice score of the standard slice of the fetal ultrasound image is calculated.
  • a third aspect of the present invention discloses another weight value determination device for fetal structural features, the determination device comprising:
  • a processor coupled to the memory
  • the processor invokes the executable program code stored in the memory to execute the method for determining the weight value of the fetal structural feature disclosed in the first aspect of the present invention.
  • a fourth aspect of the present invention discloses a computer storage medium, the computer storage medium stores computer instructions, and when the computer instructions are invoked, is used to execute the weight value determination method for fetal structural features disclosed in the first aspect of the present invention.
  • a method and device for determining a weight value of a fetal structural feature includes acquiring a weight corresponding to at least one structural feature of the standard slice of the fetal ultrasound image after acquiring the standard slice of the fetal ultrasound image.
  • Value influence factor according to the weight value influence factor corresponding to each structural feature, the corresponding weight value of the structural feature is determined, and the corresponding weight values of all structural features are used to determine the slice score of the standard slice of the fetal ultrasound image.
  • the implementation of the present invention can automatically determine the weight value influencing factor corresponding to the structural feature in the standard section of the fetal ultrasound image, and can determine the weight value of the structural feature in the standard section according to the weight value influencing factor, without manual analysis, and can quickly obtain accurate information.
  • the weight value of the structural features in the standard section of the fetal ultrasound image so as to realize the rapid and accurate determination of the section score of the standard section of the fetal ultrasound image, and then accurately determine the optimal standard section of the fetal ultrasound image;
  • the weight values of multiple structural features in the standard slice are beneficial to further improve the accuracy of the slice score of the standard slice of the fetal ultrasound image, and to further improve the accuracy of the optimal standard slice of the fetal ultrasound image, so as to achieve accurate And quickly obtain fetal growth and development.
  • FIG. 1 is a schematic flowchart of a method for determining a weight value of a fetal structural feature disclosed in an embodiment of the present invention
  • FIG. 2 is a schematic flowchart of another method for determining a weight value of a fetal structural feature disclosed in an embodiment of the present invention
  • FIG. 3 is a schematic structural diagram of an apparatus for determining a weight value of a fetal structural feature disclosed in an embodiment of the present invention
  • FIG. 4 is a schematic structural diagram of another device for determining a weight value of a fetal structural feature disclosed in an embodiment of the present invention.
  • FIG. 5 is a schematic structural diagram of another device for determining a weight value of a fetal structural feature disclosed in an embodiment of the present invention.
  • the invention discloses a method and a device for determining the weight value of a fetal structural feature, which can determine the weight value of the structural feature in a standard slice according to the weight value influence factor, without manual analysis, and can quickly obtain an accurate fetal ultrasound image in the standard slice.
  • the weight value of the feature so as to realize the rapid and accurate determination of the slice score of the standard slice of the fetal ultrasound image, and then accurately determine the optimal standard slice of the fetal ultrasound image; and by obtaining the standard slice of the fetal ultrasound image.
  • the weight value is beneficial to further improve the accuracy of obtaining the slice score of the standard slice of the fetal ultrasound image, and is beneficial to further improve the accuracy of obtaining the optimal standard slice of the fetal ultrasound image, so as to achieve accurate and rapid acquisition of fetal growth and development. . Each of them will be described in detail below.
  • FIG. 1 is a schematic flowchart of a method for determining a weight value of a fetal structural feature disclosed in an embodiment of the present invention.
  • the method for determining the weight value of fetal structural features described in FIG. 1 can be applied to any server (service device or service system) with the function of determining the weight value, wherein the server can include a local server or a cloud server, the present invention
  • the server can include a local server or a cloud server
  • the present invention The embodiment is not limited.
  • the method for determining the weight value of the fetal structural feature may include the following operations:
  • the weight value influencing factor corresponding to each structural feature may include at least one of the geometric parameter corresponding to the structural feature, the clarity of the structural feature, the integrity of the structural feature, and the proportion of the structural feature
  • the geometric parameter corresponding to each structural feature includes the geometric parameter corresponding to the contour of the structural feature and/or the position of the structural feature in the standard section, wherein the geometric parameter corresponding to the contour of each structural feature includes the contour corresponding size and/or area.
  • the number of weight value influencing factors corresponding to each structural feature is greater than or equal to 1, and each weight value influencing factor has a corresponding sub-weight value.
  • the weight value corresponding to each structural feature is determined according to the weight value influence factor corresponding to the structural feature, including:
  • each weight value influencing factor corresponding to each structural feature determines the sub-weight value corresponding to each weight value influencing factor
  • each structural feature has a corresponding key weight value influencing factor
  • the key weight value influencing factors corresponding to different structural features may be the same or different.
  • the key weight value influencing factors of the skull halo structure feature include the size of the head circumference corresponding to the outline of the skull halo structure feature, the integrity of the skull halo structure feature, and the distance between the area enclosed by the skull halo structure feature and the midline of the brain.
  • the key weight value influencing factors of the femoral structural feature include the length corresponding to the contour of the femoral structural feature, the area enclosed by the contour of the femoral structural feature, and the relative position of the area enclosed by the contour of the femoral structural feature to the midline of the brain.
  • the more critical the influence factor of the weight value of the structural feature is the higher the corresponding weight value is, that is, the more accurate the slice score of the standard slice is obtained. That is, the weight value corresponding to each structural feature can be obtained only by calculating the sub-weight value of the influence factor of the key weight value corresponding to each structural feature, which can ensure that the accurate weight value of the structural feature can be obtained. It can improve the calculation efficiency of the weight value of structural features, thereby improving the calculation accuracy and efficiency of the slice score of the standard slice, thereby improving the accuracy and efficiency of determining the optimal standard slice of the fetal ultrasound image.
  • the weight value influencing factor corresponding to each structural feature is determined in a targeted manner, and the sub-weight value corresponding to all the weight value influencing factors is determined as the weight value corresponding to the structural feature, which can improve the structural feature.
  • the calculation accuracy of the weight value can improve the calculation accuracy of the section score corresponding to the standard section, thereby improving the determination accuracy of the optimal standard section.
  • determining the sub-weight value corresponding to each weight value influence factor may include:
  • the weight value influencing factor corresponding to the structural feature includes the geometric parameter corresponding to the structural feature, determine the sub-weight value matching the geometric parameter corresponding to the structural feature according to the geometric parameter corresponding to the structural feature;
  • the weight value influencing factor corresponding to the structural feature includes the clarity of the structural feature
  • input the fetal ultrasound image corresponding to the structural feature into the determined weight value classification model for analysis, and obtain the weight value classification model
  • the output analysis result is used as the sub-weight value corresponding to the clarity of the structural feature
  • the weight value influencing factor corresponding to the structural feature includes the integrity of the structural feature, calculate the target geometric parameters corresponding to the structural feature according to the outline of the structural feature, and determine the target geometric parameters corresponding to the structural feature according to the structural feature.
  • the sub-weight value corresponding to the integrity of the structural feature
  • the influence factor of the weight value corresponding to the structural feature includes the proportion of the structural feature
  • the sub-weight value matching the proportion of the structural feature is determined according to the proportion of the structural feature.
  • the ratio is used to represent the display ratio between the structural feature and the display device where it is located.
  • the ratio is calculated by calculating the area enclosed by the contour of the structural feature and/or the distance value between the two farthest endpoints on the contour of the structural feature, calculate the ratio, which can improve the calculation accuracy and reliability of the ratio of structural features.
  • the area enclosed by the outline of the structural feature is preferentially selected to calculate the proportion of the structural feature. For example, if the area enclosed by the outline of the structural feature of the left atrium accounts for one-seventh of the area of the display screen, then the proportion of the structural feature of the left atrium The corresponding sub-weight value is 0.8.
  • the sub-weight value corresponding to the geometric parameter corresponding to the contour of the structural feature is determined according to the geometric parameter corresponding to the contour of the structural feature.
  • the geometric parameters include the size and/or area corresponding to the contour;
  • the geometric parameters of the contour of the structural feature include the position of the structural feature in the standard section, based on the relative positional relationship between the midline of the brain corresponding to the structural feature and the area enclosed by the contour of the structural feature, the standard section where the structural feature is located is determined.
  • the size of the contour of the structural feature may include the perimeter of the contour of the structural feature and/or the length corresponding to the contour of the structural feature (eg, the length of the humerus structural feature).
  • the geometric parameters of the contour of the structural feature after obtaining the geometric parameters of the contour of the structural feature, it is further judged whether the geometric parameters of the contour of the structural feature are within the geometric parameters corresponding to the gestational age of the determined fetal ultrasound image. Within the parameter range, when it is judged that it is not within the corresponding geometric parameter range, multiply the sub-weight value corresponding to the geometric parameter of the outline of the structural feature by the determined weight correction coefficient (for example: 0.8) to obtain the corrected weight. Subweight value.
  • the determined weight correction coefficient for example: 0.8
  • the calculated subweight value ( 0.7) remains unchanged.
  • the calculated sub-weight value (0.7) is multiplied by the weight correction coefficient (0.9) to obtain the corrected sub-weight value (0.63).
  • the higher the weight value the more obvious the corresponding structural feature.
  • the calculation of the length corresponding to the contour of the femoral structural feature and the sub-weight value corresponding to the area (area) enclosed by the contour of the femoral structural feature is completed, and the relative relationship between the area surrounded by the contour of the femoral structural feature and the midline of the brain is not completed.
  • the calculation of the sub-weight value corresponding to the position then continue to perform the calculation of the sub-weight value corresponding to the relative position of the area surrounded by the outline of the femoral structural feature and the midline of the brain, so as to ensure that all the sub-weight values corresponding to the required weight value influence factors are completed.
  • the calculation of the weight value can further improve the calculation accuracy of the weight value corresponding to the structural feature.
  • the sub-weight corresponding to the geometric parameter corresponding to the contour of the structural feature is determined according to the geometric parameter corresponding to the contour of the structural feature values, including:
  • the angle formed by the size and the ultrasonic virtual beam, and the sub-weight value corresponding to the angle is determined according to the size of the angle.
  • the sub-weight value corresponding to the angle is determined according to the size of the angle. Specifically, the angle range where the size of the angle is located is determined, and the weight value corresponding to the angle range is determined as the sub-weight value corresponding to the angle. value, or, according to the linear relationship between the weight value and the angle, determine the sub-weight value corresponding to the angle.
  • y represents the sub-weight value corresponding to the angle
  • x represents the angle
  • a represents a constant, such as: 0.04
  • k represents the sub-weight value corresponding to the angle when the dimension corresponding to the contour of the structural feature is parallel to the ultrasonic virtual beam, for example: 0.01.
  • the dimensions corresponding to the outline of the structural feature include the long side of the humerus structural feature, the long side of the femoral structural feature, the midline of the cranial structural feature (the long axis of the ellipse of the cranial structural feature), the back of the neck One of the long sides of the gap of the transparent layer, etc., the optional implementation manner is not limited. Further optionally, there are corresponding methods for determining the priority angle weight value for different structural features.
  • the long side of the humerus structural feature and the long side of the femur structural feature are preferentially selected by the weight value-angle linear relationship determination method to determine the sub-weight value corresponding to the angle
  • another example: the brain midline of the skull structural feature is preferentially selected.
  • the angle range determination method Determine the sub-weight value corresponding to the angle. This is beneficial to improve the accuracy and efficiency of obtaining the sub-weight values corresponding to the angles of the structural features, thereby further improving the accuracy, reliability and efficiency of the weight values of the structural features.
  • the long side of the humerus structural feature (or the femoral structural feature) and the ultrasonic wave are determined according to the long side direction of the humeral structural feature and the ultrasonic virtual beam direction.
  • the angle formed by the virtual beam, and the angle is 80°, at this time, 80° is in the range of 45° ⁇ 90°, and the weight value corresponding to 45° ⁇ 90° is 1, then the sub-weight value corresponding to the 80° angle is 1, or, according to the linear relationship between the weight value and the angle, the sub-weight value corresponding to an angle of 80° is determined to be 0.8.
  • the size corresponding to the contour of the structural feature may be determined by combining the angle formed by the ultrasonic virtual beam with the size corresponding to the contour of the structural feature to determine the size corresponding to the contour of the structural feature The subweight value of .
  • this optional embodiment can realize the determination of the sub-weight value of the angle corresponding to the structural feature through the angle formed by the size corresponding to the contour of the structural feature and the ultrasonic virtual beam, and improve the sub-weight value of the angle corresponding to the structural feature.
  • the accuracy and efficiency are determined, so as to further improve the accuracy, reliability and efficiency of the weight value of the structural feature.
  • Weight value which can include:
  • the sub-weight value corresponding to the position, the intersection situation includes the intersection position and/or the number of intersections between the outline of the structural feature and the midline of the brain;
  • the sub-weight value corresponding to the position of the structural feature at the standard tangent plane is determined according to the intersection situation, specifically: when the position of the intersection between the contour of the structural feature and the midline of the brain is determined When the position of the structural feature is within the range of the out-of-range position, the sub-weight value corresponding to the position of the standard section of the structural feature is determined as the first sub-weight value; when the number of intersections between the contour of the structural feature and the midline of the brain is equal to 1, the structural feature is determined.
  • the sub-weight value corresponding to the position of the standard section is the second sub-weight value; when the position of the intersection point between the contour of the structural feature and the midline of the brain is within the determined position range and the number of intersection points is equal to 1 or the contour of the structural feature and the brain When the number of intersections between the midlines is greater than 1, the sub-weight value corresponding to the position of the structural feature in the standard section is determined as the third sub-weight value; when the position of the intersection between the contour of the structural feature and the midline of the brain is the determined position Within the range and the number of intersection points is greater than 1, determine the sub-weight value corresponding to the position of the standard section where the structural feature is located is the fourth sub-weight value, wherein the first sub-weight value, the second sub-weight value, and the third sub-weight value are And the fourth sub-weight value increases sequentially.
  • the accuracy of the determination of the sub-weight value can be improved, thereby further improving the corresponding structural feature.
  • the sub-weight value corresponding to the position of the structural feature in the standard section is determined according to the distance value, specifically: when the midline of the brain corresponding to the structural feature and the contour of the structural feature are When the distance value is within the predetermined distance value range, the sub-weight value corresponding to the position of the standard section of the structural feature is determined to be the fifth sub-weight value; when the midline of the brain corresponding to the structural feature and the contour of the structural feature When the distance value between them is greater than the maximum distance value in the predetermined distance value range, it is determined that the sub-weight value corresponding to the position of the standard section of the structural feature is the sixth sub-weight value, and the sixth sub-weight value is greater than the sixth sub-weight value.
  • the sub-weight value when there is an intersection point between the midline and the outline of the midline capsule structure feature, the sub-weight value is 0.8, and when there are two intersection points, the sub-weight value is 1, which means that the midline capsule structure feature does not deviate Brain midline; when there is no intersection between the outline of the midline capsule structure feature and the midline, and the deviation distance is 1mm, the sub-weight value is 0.6; when the deviation distance is 5mm, the sub-weight value is 0.
  • the fifth sub-weight value, the sixth sub-weight value, the first sub-weight value, the second sub-weight value, the third sub-weight value and the fourth sub-weight value increase in sequence.
  • the weight value of the corresponding structural feature is equal to the sum of the sub-weight values corresponding to each weight value influencing factor.
  • the weight value of the femoral structural feature of the femur measurement section include the length corresponding to the outline of the femoral structural feature, the area enclosed by the outline of the femoral structural feature, and the relative distance between the area enclosed by the outline of the femoral structural feature and the midline of the brain.
  • the sub-weight value of the length corresponding to the contour of the femoral structural feature is 0.7
  • the sub-weight value corresponding to the area surrounded by the contour of the femoral structural feature is 0.6
  • the area surrounded by the contour of the femoral structural feature and the midline of the brain The sub-weight value corresponding to the relative position is 0.8
  • this optional embodiment can not only realize the acquisition of the sub-weight value corresponding to the weight value influencing factor, but also improve the acquisition efficiency of the sub-weight value by selecting the corresponding sub-weight value determination method according to different weight value influencing factors. and accuracy, thereby improving the calculation accuracy and efficiency of the weight value corresponding to the structural feature, thereby improving the calculation accuracy and efficiency of the section score corresponding to the standard section.
  • the corresponding center point and the contour of the overlapping part are determined, and the center angle corresponding to the contour of the structural feature is determined as the target geometric parameter corresponding to the structural feature.
  • the contour of each structural feature is fitted based on the determined fitting method to obtain the target contour of the structural feature, which may include:
  • the arc radius corresponding to the contour of the structural feature is greater than or equal to the determined arc radius threshold (for example: 5mm)
  • select a preset number for example: 50, etc.
  • target nodes from all the nodes corresponding to the structural feature, And connect all the target nodes corresponding to the structural feature in turn according to the way that every two adjacent nodes are connected to obtain the target contour of the structural feature;
  • all nodes corresponding to the structural feature are sequentially connected in the manner of connecting each adjacent node to obtain the target contour of the structural feature.
  • the contour of the structural feature when the contour of the structural feature has multiple arcs and/or the curvature of the contour is greater than or equal to the determined curvature threshold, the contour of the structural feature is segmented to perform a fitting operation. Specifically: when there are multiple arcs in the contour of the structural feature, a fitting operation will be performed on each of the multiple arcs of the structural feature; when the curvature of the contour of the structural feature is greater than or equal to the curvature threshold, the The contour of the structural feature is divided into multiple segments at equal or unequal intervals, and the fitting operation is performed on each segment of the contour separately.
  • the contour of the structural feature has multiple arcs and/or the curvature of the contour is relatively large, by performing the fitting operation on the contour segment of the structural feature, the fitting efficiency and accuracy of the contour of the structural feature can be improved, so that there is a It is beneficial to further improve the measurement accuracy and reliability of the target geometric parameters of the structural features of the fetal ultrasound image.
  • this optional embodiment can not only realize the fitting of structural features, but also improve the fitting efficiency and accuracy of structural features by selecting different fitting methods according to the size of the arc radius of the structural features of the fetal ultrasound image. , thereby improving the calculation accuracy of the target geometric parameters of the structural feature, thereby further improving the calculation accuracy of the weight value corresponding to the structural feature.
  • the method further includes:
  • the method further includes:
  • this optional embodiment can enrich the acquisition methods of the target geometric parameters corresponding to the structural features by providing multiple ways to determine the target geometric parameters corresponding to the structural features, and improve the acquisition possibility of the target geometric parameters corresponding to the structural features; and by One or a combination of the length of the contour of the structural feature, the central angle corresponding to the contour of the structural feature, the length of the contour of the overlapping portion of the contour of the structural feature and the fitted contour, and the central angle corresponding to the contour of the overlapping portion are used as the structural feature.
  • the corresponding target geometric parameters can improve the acquisition accuracy of the target geometric parameters corresponding to the structural features, thereby improving the calculation accuracy of the weight values corresponding to the structural features.
  • the method for determining the weight value of the fetal structural feature may further include the following operations:
  • the feature information of the fetal ultrasound image includes the part feature information of the fetal ultrasound image and the structural feature information of the fetal ultrasound image.
  • the part feature information of the fetal ultrasound image is at least Including the category of the part feature of the fetal ultrasound image, the structural feature information of the fetal ultrasound image at least includes the category of the structural feature of the fetal ultrasound image, and the structural feature of the fetal ultrasound image at least includes the key structural feature of the fetal ultrasound image;
  • the standard slice of the fetal ultrasound image is determined according to the category of the part feature of the fetal ultrasound image and the category of the structural feature of the fetal ultrasound image, and the execution of step 101 is triggered.
  • the fetal ultrasound image may be a single-frame fetal ultrasound image, or may be continuous or non-consecutive multiple-frame fetal ultrasound images.
  • the frame rate is input into the feature detection model, wherein the predetermined frame rate is related to the structural characteristics of the standard section of the fetal ultrasound image to be acquired, that is, the frame is selected according to the structural characteristics of the standard section of the fetal ultrasound image to be acquired. For example, if you need to acquire the structural features of the gastric bubble in the abdominal circumference view, the frame rate can be 30 frames/second; if you need to obtain the structural features of the left atrium in the four-chamber view, the frame rate can be 60 frames. /Second.
  • the corresponding frame rate is selected according to the structural features of the standard section of the fetal ultrasound image to be acquired, which is beneficial to improve the acquisition efficiency and accuracy of the structural features of the standard section of the desired fetal ultrasound image, thereby improving the weight value corresponding to the structural features. acquisition efficiency and accuracy.
  • each frame of fetal ultrasound image has a unique corresponding identifier, such as a frame serial number.
  • a unique identifier for each frame of fetal ultrasound image, the structural features of the standard section of each frame of fetal ultrasound image can be clearly distinguished in the process of acquiring the structural features of the standard section of the fetal ultrasound image, such as: checked structural features, Abnormal structural features, etc., as well as information management of the structural features of fetal ultrasound images and their standard slices, such as: preservation of the weight values of structural features.
  • the feature detection model may include at least one of a determined target detection model, an instance segmentation model, and a semantic segmentation model, which can obtain part feature information and structural feature information of the fetal ultrasound image.
  • this optional embodiment determines the standard section of the fetal ultrasound image by acquiring the site features and structural features of the fetal ultrasound image, and combining the site features and structural features of the fetal ultrasound image, and does not need to manually participate in the standard view of the fetal ultrasound image. It can improve the accuracy of determining the standard section of the fetal ultrasound image; and by inputting the fetal ultrasound image into the feature detection model for analysis, it can also improve the efficiency of determining the standard section of the fetal ultrasound image, which is conducive to realizing the weight value of structural features accurate and fast access.
  • the standard slice of the fetal ultrasound image sent by the authorized terminal device can also be received, or the standard slice of the fetal ultrasound image is stored in the memory of the server of this solution, so as to realize the fetal ultrasound image.
  • the standard slices of fetal ultrasound images can be obtained through various methods, which can enrich the ways of obtaining standard slices, improve the possibility of obtaining standard slices, and further improve the efficiency of obtaining weight values corresponding to structural features of standard slices.
  • the method for determining the weight value of the fetal structural feature may also include the following operations:
  • the slice score of the standard slice of the fetal ultrasound image is calculated.
  • At least one structural feature in the standard slice of the fetal ultrasound image includes at least a key structural feature (also known as a basic structural feature or a main structural feature) of the standard slice, and further, may also include in addition to key structural features other structural features than features.
  • the standard view of the thalamus includes at least one key structural feature of the septum pellucidum, the thalamus and the lateral ventricle, and further, the standard view of the thalamus may also include at least one other structural feature of the choroid and the sylvian fissure.
  • the key structural feature of each standard slice is the structural feature that can represent the standard slice, that is, when the key structural feature of the fetal ultrasound image is obtained, the slice score of the standard slice can be determined by calculating the weight value of the key structural feature .
  • the slice score of the standard slice of the fetal ultrasound image can be directly determined by the weight value of the key structural feature of the standard slice, which can improve the efficiency of obtaining the score of the standard slice while ensuring the acquisition of the accurate slice score of the standard slice.
  • the feature parameters of the structural feature of the standard slice of the fetal ultrasound image may include the structural feature category probability and the position probability, and each structural feature based on the standard slice of the fetal ultrasound image
  • the corresponding weight value and the acquired characteristic parameters of the structural feature, to calculate the slice score of the standard slice of the fetal ultrasound image may include:
  • the structural score corresponding to each structural feature of the standard section of the fetal ultrasound image is calculated;
  • the sum of the structural scores corresponding to all structural features of the standard slice of the fetal ultrasound image is calculated as the slice score of the standard slice of the fetal ultrasound image.
  • the calculation formula of the slice score of the standard slice of the fetal ultrasound image is as follows:
  • H i P i ⁇ Q i ⁇ O i ;
  • S is the section score of the standard section
  • H i is the structural score of the ith structural feature in the standard section
  • M is the total number of structural features in the standard section
  • P i is the ith structural feature in the standard section.
  • Q i is the position probability of the ith structural feature in the standard section
  • O i is the weight value of the ith structural feature in the standard section
  • N is the weight value of the ith structural feature
  • O ij is the sub-weight value corresponding to the j-th weight value influencing factor in the ith structural feature in the standard section.
  • the feature parameter of the structural feature of the standard slice of the fetal ultrasound image further includes the position probability of the structural feature.
  • the calculation formula of the structural score of the i-th structural feature in the standard slice for:
  • H i P i ⁇ Q i ⁇ O i ⁇ C i ;
  • C i is the position probability of the structural feature of the standard section.
  • this optional embodiment can realize the calculation of the section score of the standard section by separately calculating the structural score corresponding to each structural feature of the standard section, which is beneficial to improve the accuracy and efficiency of the calculation of the section score of the standard section; And selecting different parameters according to different structural features can improve the calculation accuracy and efficiency of the structural score corresponding to the structural feature, thereby further improving the calculation accuracy and efficiency of the section score of the standard section.
  • the method for determining the weight value of the fetal structural feature may further include the following operations:
  • the pixel value of the positive fetal ultrasound image sample is greater than the pixel value of the negative fetal ultrasound image sample, each of the positive fetal ultrasound image and the negative fetal ultrasound image in the positive fetal ultrasound image sample.
  • the weight value influencing factor of the structural feature of each negative sample fetal ultrasound image in the sample includes the clarity of the structural feature;
  • the determined initial weight value classification model is trained, and the trained initial weight value classification model is obtained as the determined weight value classification model.
  • the initial weight value classification model includes KNN, Bayesian, Neural Network, Ensemble-Stacking, Ensemble-Boosting, and Ensemble-Bagging, etc., which can realize image classification, or a weight value classification model formed by a combination.
  • the selected embodiment is not limited.
  • the sample fetal ultrasound images included in the positive fetal ultrasound image sample and the negative fetal ultrasound image sample may be selected by the device terminal, or may be selected by relevant personnel based on experience, or determined by both. of.
  • the positive fetal ultrasound image sample is composed of a plurality of sub-positive fetal ultrasound image samples
  • the negative fetal ultrasound image sample is composed of Consists of multiple sub-negative fetal ultrasound image samples.
  • each sub-positive fetal ultrasound image sample corresponds to a sub-negative fetal ultrasound image sample.
  • each sample fetal ultrasound image has a corresponding sample weight value.
  • a positive fetal ultrasound image sample includes a sub-positive fetal ultrasound image sample that includes structural features of the transparent compartment and a sub-positive fetal ultrasound image sample that includes structural features of the ductus arteriosus
  • a negative fetal ultrasound image sample includes a sub-negative fetal ultrasound image that includes the structural features of the transparent compartment.
  • implementing the method for determining the weight value of the fetal structural feature described in FIG. 1 can determine the weight value of the structural feature in the standard section according to the weight value influence factor, without manual analysis, and quickly obtain accurate fetal ultrasound images.
  • the weight value of the fetal ultrasound image can be determined quickly and accurately, and the optimal standard slice of the fetal ultrasound image can be accurately determined; and the weights of multiple structural features in the standard slice of the fetal ultrasound image can be obtained by obtaining the weights. It is beneficial to improve the accuracy of obtaining the slice score of the standard slice of the fetal ultrasound image, and to further improve the accuracy of the optimal standard slice of the fetal ultrasound image, so as to achieve accurate and rapid acquisition of fetal growth and development.
  • FIG. 2 is a schematic flowchart of another method for determining a weight value of a fetal structural feature disclosed in an embodiment of the present invention.
  • the method for determining the weight value of the fetal structural feature described in FIG. 2 can be applied to any server (service device or service system) with the function of determining the weight value, wherein the server can include a local server or a cloud server, the present invention
  • the server can include a local server or a cloud server
  • the method for determining the weight value of the fetal structural feature may include the following operations:
  • performing a correction operation on the weight values corresponding to all structural features may be understood as performing a correction operation on the weight values corresponding to the structural feature, or as performing a correction operation on the sub-weight values of the structural feature , wherein, for the correction operation of the sub-weight value, please refer to the relevant description in Embodiment 1, and details are not repeated here. Now, the correction operation of the weight value corresponding to the structural feature is explained:
  • a corresponding correction coefficient is determined according to the type of the structural feature, and the weight value corresponding to the modified structural feature is obtained by multiplying the correction coefficient by the weight value corresponding to the structural feature.
  • the correction operation is performed on the weight value corresponding to the knot feature, which can improve the determination accuracy of the weight value corresponding to the knot feature, which is beneficial to Get the slice score for the standard slice for accuracy.
  • step 201 and step 202 please refer to the detailed description of step 101 to step 102 in Embodiment 1, which is not repeated in this embodiment of the present invention.
  • the method for determining the weight value of the fetal structural feature may further include the following operations:
  • step 203 It is determined whether there is a target structural feature with abnormal structure among all the structural features, and when it is determined that there is at least one target structural feature, the execution of step 203 is triggered.
  • the correction operation before performing the correction operation on the structural feature, it first determines whether there is an abnormal structural feature, and when there is an abnormal structural feature, the correction operation is performed on the weight value corresponding to the abnormal structural feature, which is conducive to further improvement.
  • the determination accuracy and reliability of the weight value corresponding to the structural feature of the standard slice can further improve the determination accuracy and reliability of the slice score of the standard slice, and further improve the reliability of obtaining a more accurate optimal standard slice.
  • judging whether there is a target structural feature with structural abnormality among all structural features may include:
  • each structural feature of each standard section determine whether each structural feature matches the standard section where it is located;
  • this optional implementation can realize the determination of abnormal structural features by acquiring the target information of each structural feature of the standard section, and judging whether each structural feature matches the corresponding standard section according to the target information of each structural feature .
  • judging whether each structural feature matches the standard section where it is located may include:
  • the representation type corresponding to each structural feature includes numerical representation type and/or feature morphological representation type
  • the representation type of the structural feature is a numerical representation type, it is judged whether the geometric parameter value corresponding to the obtained structural feature is within the predetermined normal parameter value range. does not match;
  • the representation type of the structural feature is the feature morphological representation type, it is judged whether the structural feature is located in the detection area of the part feature corresponding to the structural feature, and when the judgment result is no, it is determined that the structural feature does not match the standard section where it is located. .
  • the detection area of each part feature can be selected by a detection frame, such as a polygon frame or an oval frame.
  • the geometric parameter value corresponding to each structural feature includes the transverse diameter corresponding to the structural feature and/or the perimeter corresponding to the structural feature, so that the more content the geometric parameter value includes, the more conducive to improving the Judgmental accuracy with which structural features match the standard cut plane in which they are located.
  • different structural features have corresponding normal parameter value ranges, wherein the normal parameter value ranges corresponding to different structural features may be the same or different.
  • different geometric parameter values of the same structural feature correspond to different normal parameter value ranges.
  • the geometric parameter values corresponding to each structural feature may include proportional dimensions and/or actual dimensions.
  • the actual size corresponding to the structural feature is further obtained, and it is judged whether the actual size is within the predetermined normal size range.
  • the judgment result is no, it is determined that the structural feature does not match the standard section where it is located.
  • the accuracy of determining whether the structural feature matches the standard section where it is located can be improved, thereby reducing the error correction of the section score of the abnormal standard section. If the situation occurs, improve the accuracy and reliability of the correction of the section score of the abnormal standard section.
  • Numerical representation type when the detected structural feature is the characteristic of critical enlargement of the lateral ventricle, the outline information of the characteristic of the critical enlargement of the lateral ventricle is input into the measurement module for measurement, and the transverse dimension of the characteristic of the critical enlargement of the lateral ventricle is obtained. Diameter (proportional size), and determine whether the transverse diameter is greater than or equal to 12 pixels, if the judgment result is yes, then the critical enlargement feature of the lateral ventricle is an abnormal structural feature, that is, the critical enlargement feature of the lateral ventricle is located in the standard section. does not match.
  • the characteristic of the critical enlargement of the lateral ventricle is an abnormal structural feature, that is, the characteristic of the critical enlargement of the lateral ventricle does not match the standard view.
  • the critical enlargement feature of the lateral ventricle is a normal structural feature
  • the characteristic of critical enlargement of lateral ventricle is modified to the characteristic of normal lateral ventricle, that is, the characteristic of critical enlargement of lateral ventricle matches the standard slice.
  • Type of feature morphology representation when the detected structural feature is the structural feature of the choroidal sub-cyst, it is detected whether the structural feature of the choroidal sub-cyst appears in the detection area of the lateral ventricle, and when it appears in the detection area of the lateral ventricle, it is determined Cyst structural features are abnormal structural features, that is, it is determined that the choroid does not match the standard section where the cystic structural features are located. Further, when it is detected that the choroidal secondary cyst structure feature appears in the detection area of the lateral ventricle, it is determined whether there is the choroidal secondary cyst structure feature in all four frames of fetal ultrasound images, and when the judgment result is yes, determine the choroidal secondary cyst structure. The feature does not match the standard slice it is in.
  • the fetal ultrasound image when judging that the fetal ultrasound image has structural features, it can determine whether the structural features match the standard section where the structural features are located by using the obtained geometric parameter values of the structural features, or whether the structural features are located in the corresponding In the detection area of the part feature, to realize the judgment of whether the structural feature matches the standard section where it is located, it can improve the possibility, accuracy and efficiency of determining whether the structural feature is an abnormal structural feature.
  • implementing the method for determining the weight value of the fetal structural feature described in FIG. 2 can determine the weight value of the structural feature in the standard section according to the weight value influence factor, without manual analysis, and quickly obtain the accurate fetal ultrasound image.
  • the weight value of the fetal ultrasound image can be determined quickly and accurately, and the optimal standard slice of the fetal ultrasound image can be accurately determined; and the weights of multiple structural features in the standard slice of the fetal ultrasound image can be obtained by obtaining the weights. It is beneficial to improve the accuracy of obtaining the slice score of the standard slice of the fetal ultrasound image, and to further improve the accuracy of the optimal standard slice of the fetal ultrasound image, so as to achieve accurate and rapid acquisition of fetal growth and development.
  • FIG. 3 is a schematic structural diagram of an apparatus for determining a weight value of a fetal structural feature disclosed in an embodiment of the present invention.
  • the apparatus for determining the weight value of the fetal structural feature described in FIG. 3 can be applied to any server (service device or service system) with the function of determining the weight value, wherein the server may include a local server or a cloud server.
  • the apparatus for determining the weight value of the fetal structural feature may include an acquisition module 301 and a determination module 302, wherein:
  • the acquiring module 301 is configured to acquire, after acquiring the standard slice of the fetal ultrasound image, a weight value influencing factor corresponding to at least one structural feature of the standard slice of the fetal ultrasound image.
  • the determination module 302 is configured to determine the weight value corresponding to each structural feature according to the weight value influence factor corresponding to the structural feature, and the weight values corresponding to all structural features are used to determine the slice score of the standard slice of the fetal ultrasound image.
  • the device for determining the weight value of the fetal structural feature described in FIG. 3 can determine the weight value of the structural feature in the standard section according to the weight value influence factor, without manual analysis, and quickly obtain accurate fetal ultrasound images.
  • the weight value of the fetal ultrasound image can be determined quickly and accurately, and the optimal standard slice of the fetal ultrasound image can be accurately determined; and the weights of multiple structural features in the standard slice of the fetal ultrasound image can be obtained by obtaining the weights. It is beneficial to improve the accuracy of obtaining the slice score of the standard slice of the fetal ultrasound image, and to further improve the accuracy of the optimal standard slice of the fetal ultrasound image, so as to achieve accurate and rapid acquisition of fetal growth and development.
  • the determination module 302 includes a determination sub-module 3021 and a calculation sub-module 3022, wherein:
  • the determination sub-module 3021 is configured to determine the sub-weight value corresponding to each weight value influence factor according to each weight value influence factor corresponding to each structural feature.
  • the calculation sub-module 3022 is configured to calculate the sum of all sub-weight values corresponding to each structural feature as the weight value corresponding to each structural feature.
  • implementing the determination device described in FIG. 4 can determine the weight value influencing factor corresponding to each structural feature in a targeted manner, and determine the sub-weight value corresponding to all the weight value influencing factors as the weight value corresponding to the structural feature, which can improve the The calculation accuracy of the weight value of the structural feature improves the calculation accuracy of the section score corresponding to the standard section, thereby improving the determination accuracy of the optimal standard section.
  • the determining sub-module 3021 determines the sub-weight value corresponding to each weight value influencing factor according to each weight value influencing factor corresponding to each structural feature, specifically as follows: :
  • the weight value influencing factor corresponding to the structural feature includes the geometric parameter corresponding to the structural feature, determine the sub-weight value matching the geometric parameter corresponding to the structural feature according to the geometric parameter corresponding to the structural feature;
  • the weight value influencing factor corresponding to the structural feature includes the clarity of the structural feature
  • input the fetal ultrasound image corresponding to the structural feature into the determined weight value classification model for analysis, and obtain the weight value classification model
  • the output analysis result is used as the sub-weight value corresponding to the clarity of the structural feature
  • the target geometric parameters corresponding to the structural feature are calculated according to the outline of the structural feature, and according to the target geometric parameters corresponding to the structural feature, Determine the sub-weight value corresponding to the integrity of the structural feature;
  • the influence factor of the weight value corresponding to the structural feature includes the proportion of the structural feature
  • the sub-weight value matching the proportion of the structural feature is determined according to the proportion of the structural feature.
  • the ratio is used to represent the display ratio between the structural feature and the display device where it is located.
  • the manner in which the determination sub-module 3021 determines the sub-weight value matching the geometric parameter corresponding to the structural feature according to the geometric parameter corresponding to the structural feature is specifically:
  • the sub-weight value corresponding to the geometric parameter corresponding to the contour of the structural feature is determined according to the geometric parameter corresponding to the contour of the structural feature.
  • the geometric parameters include the corresponding size and/or area of the contour;
  • the geometric parameters of the contour of the structural feature include the position of the structural feature in the standard section, based on the relative positional relationship between the midline of the brain corresponding to the structural feature and the area enclosed by the contour of the structural feature, the standard section where the structural feature is located is determined.
  • the determining sub-module 3021 determines the sub-weight value corresponding to the geometric parameter corresponding to the contour of the structural feature according to the geometric parameter corresponding to the contour of the structural feature, specifically:
  • the geometric parameters corresponding to the contour of the structural feature include the size corresponding to the contour, determine the direction of the size corresponding to the contour of the structural feature on the standard cut plane, and according to the direction of the size corresponding to the contour of the structural feature on the standard cut plane and The direction of the ultrasonic virtual beam on the standard section determines the size corresponding to the contour of the structural feature and the angle formed by the ultrasonic virtual beam, and the sub-weight value corresponding to the angle is determined according to the size of the angle.
  • the determining sub-module 3021 determines, based on the relative positional relationship between the midline of the brain corresponding to the structural feature and the area enclosed by the contour of the structural feature, the corresponding position of the structural feature in the standard section.
  • the way of the sub-weight value of is as follows:
  • the sub-weight value corresponding to the position, the intersection situation includes the intersection position and/or the number of intersections between the outline of the structural feature and the midline of the brain;
  • the manner in which the determination sub-module 3021 calculates the target geometric parameter corresponding to the structural feature according to the outline of the structural feature is specifically:
  • the corresponding center point and the contour of the overlapping part are determined, and the center angle corresponding to the contour of the overlapping part is determined as the target geometric parameter corresponding to the structural feature.
  • implementing the determination device described in FIG. 4 can select different fitting methods according to the size of the arc radius of the structural features of the fetal ultrasound image, which can not only realize the fitting of the structural features, but also improve the fitting efficiency of the structural features. and accuracy, thereby improving the calculation accuracy of the target geometric parameters of the structural feature, thereby further improving the calculation accuracy of the weight value corresponding to the structural feature.
  • the apparatus may further include a preprocessing module 303 and an updating module 304, wherein:
  • the preprocessing module 303 is configured to perform a correction operation on the weight values corresponding to all the structural features after the determining module 302 determines the weight value corresponding to each structural feature according to the weight value influence factor corresponding to the structural feature.
  • the updating module 304 is configured to update the weight value corresponding to each structural feature after performing the correction operation to the weight value corresponding to each structural feature.
  • implementing the determination device described in FIG. 4 can improve the determination of the weight value corresponding to the knot feature by performing a correction operation on the weight value corresponding to the knot feature after obtaining the weight value corresponding to the knot feature of the standard slice of the fetal ultrasound image. Accuracy, which is conducive to obtaining the slice score of the accurate standard slice.
  • FIG. 5 is another device for determining the weight value of fetal structural features disclosed in an embodiment of the present invention.
  • the weight value determination device for fetal structural features described in FIG. 5 can be applied to a weight value determination server (service device), wherein the weight value determination server can include a local weight value determination server or a cloud weight value determination server, the present
  • the device for determining the weight value of the fetal structural feature may include:
  • a memory 501 storing executable program code
  • processor 502 coupled to the memory 501;
  • an input interface 503 coupled with the processor 502 and an output interface 504;
  • the processor 502 invokes the executable program code stored in the memory 501 to execute some or all of the steps in the method for determining the weight value of the fetal structural feature described in the first embodiment or the second embodiment.
  • An embodiment of the present invention discloses a computer-readable storage medium, which stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute the method for determining the weight value of a fetal structural feature described in the first embodiment or the second embodiment some or all of the steps.
  • An embodiment of the present invention discloses a computer program product.
  • the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute the description in the first embodiment or the second embodiment. Part or all of the steps in the method for determining the weight value of the fetal structural feature.
  • modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in One place, or it can be distributed over multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment. Those of ordinary skill in the art can understand and implement it without creative effort.
  • Read-Only Memory ROM
  • Random Access Memory Random Access Memory
  • PROM Programmable Read-only Memory
  • EPROM Erasable Programmable Read Only Memory
  • OTPROM One-time Programmable Read-Only Memory
  • EEPROM Electronically Erasable Programmable Read-Only Memory
  • CD-ROM Compact Disc Read -Only Memory
  • a method for determining a weight value of a fetal structural feature disclosed in the embodiment of the present invention The method and device for determining a weight value of a fetal structural feature disclosed are only preferred embodiments of the present invention, and are only used to illustrate the present invention.
  • the technical solution of the invention is not intended to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that it is still possible to modify the technical solutions recorded in the foregoing embodiments, Or equivalently replace some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Pathology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Biomedical Technology (AREA)
  • Veterinary Medicine (AREA)
  • Medical Informatics (AREA)
  • Physics & Mathematics (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physiology (AREA)
  • Gynecology & Obstetrics (AREA)
  • Pregnancy & Childbirth (AREA)
  • Ultra Sonic Daignosis Equipment (AREA)

Abstract

L'invention concerne un procédé et un appareil pour déterminer des valeurs de poids de caractéristiques de structure fœtale. Ledit procédé comprend les étapes consistant à : acquérir un facteur d'influence de valeur de poids correspondant à au moins une caractéristique de structure d'une vue standard d'une image ultrasonore fœtale (101) ; et selon le facteur d'influence de valeur de poids correspondant à chaque caractéristique de structure, déterminer une valeur de poids correspondant à la caractéristique de structure, les valeurs de poids correspondant à toutes les caractéristiques de structure étant utilisées pour déterminer le score de visualisation de la vue standard de l'image ultrasonore fœtale (102). Le procédé selon l'invention peut acquérir rapidement des valeurs de poids précises de caractéristiques de structure dans une vue standard d'une image ultrasonore fœtale, ce qui permet d'obtenir une détermination rapide et précise du score de visualisation de la vue standard, puis de déterminer avec précision une vue standard optimale de l'image ultrasonore fœtale ; et en acquérant les valeurs de poids d'une pluralité de caractéristiques de structure dans la vue standard, il est avantageux d'améliorer la précision d'acquisition du score de visualisation de la vue standard, ce qui permet d'améliorer davantage la précision d'acquisition de la vue standard optimale de l'image ultrasonore fœtale, et d'acquérir précisément et rapidement les conditions de croissance et de développement d'un fœtus.
PCT/CN2021/096819 2020-09-24 2021-05-28 Procédé et appareil pour déterminer des valeurs de poids de caractéristiques de structure fœtale WO2022062457A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202011015680.6 2020-09-24
CN202011015680.6A CN112155603B (zh) 2020-09-24 2020-09-24 胎儿结构特征的权重值确定方法及装置

Publications (1)

Publication Number Publication Date
WO2022062457A1 true WO2022062457A1 (fr) 2022-03-31

Family

ID=73863818

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2021/096819 WO2022062457A1 (fr) 2020-09-24 2021-05-28 Procédé et appareil pour déterminer des valeurs de poids de caractéristiques de structure fœtale

Country Status (2)

Country Link
CN (1) CN112155603B (fr)
WO (1) WO2022062457A1 (fr)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112155603B (zh) * 2020-09-24 2023-06-09 广州爱孕记信息科技有限公司 胎儿结构特征的权重值确定方法及装置

Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080240532A1 (en) * 2007-03-30 2008-10-02 Siemens Corporation System and Method for Detection of Fetal Anatomies From Ultrasound Images Using a Constrained Probabilistic Boosting Tree
US20120177294A1 (en) * 2011-01-10 2012-07-12 Microsoft Corporation Image retrieval using discriminative visual features
KR20140066573A (ko) * 2012-11-23 2014-06-02 삼성메디슨 주식회사 태아의 바이오메트리 정보를 제공하는 초음파 시스템 및 방법
US20160000401A1 (en) * 2014-07-07 2016-01-07 General Electric Company Method and systems for adjusting an imaging protocol
CN110009640A (zh) * 2018-11-20 2019-07-12 腾讯科技（深圳）有限公司 处理心脏视频的方法、设备和可读介质
CN110338844A (zh) * 2015-02-16 2019-10-18 深圳迈瑞生物医疗电子股份有限公司 三维成像数据的显示处理方法和三维超声成像方法及系统
CN110464380A (zh) * 2019-09-12 2019-11-19 李肯立 一种对中晚孕期胎儿的超声切面图像进行质量控制的方法
CN110604592A (zh) * 2019-03-04 2019-12-24 北京大学第三医院 一种髋关节的成像方法以及髋关节成像系统
CN110742654A (zh) * 2019-11-05 2020-02-04 深圳度影医疗科技有限公司 一种基于三维超声图像的标准切面的定位和测量方法
CN111402244A (zh) * 2020-03-20 2020-07-10 华侨大学 一种胎儿心脏标准切面自动分类法
CN112155601A (zh) * 2020-09-24 2021-01-01 广州爱孕记信息科技有限公司 一种胎儿超声图像的成像质量控制的确定方法及装置
CN112155603A (zh) * 2020-09-24 2021-01-01 广州爱孕记信息科技有限公司 胎儿结构特征的权重值确定方法及装置
CN112155602A (zh) * 2020-09-24 2021-01-01 广州爱孕记信息科技有限公司 一种胎儿最优标准切面的确定方法及装置
CN112184656A (zh) * 2020-09-24 2021-01-05 广州爱孕记信息科技有限公司 基于超声动态图像的胎儿切面的确定方法及装置
CN112215806A (zh) * 2020-09-24 2021-01-12 广州爱孕记信息科技有限公司 胎儿超声影像的检测结果的输出控制方法、装置及系统

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101791231A (zh) * 2010-01-28 2010-08-04 深圳市妇幼保健院 一种从超声图像上自动判断胎儿脑积水的图像处理方法
IN2014DN07243A (fr) * 2012-03-26 2015-04-24 Maui Imaging Inc
CN103927559B (zh) * 2014-04-17 2017-06-16 深圳大学 超声图像胎儿颜面部标准切面自动识别方法及系统
US10368833B2 (en) * 2014-09-12 2019-08-06 General Electric Company Method and system for fetal visualization by computing and displaying an ultrasound measurement and graphical model
CN106725593B (zh) * 2016-11-22 2020-08-11 深圳开立生物医疗科技股份有限公司 超声三维胎儿面部轮廓图像处理方法系统
CN111127305B (zh) * 2019-10-14 2021-01-26 李胜利 基于早孕期胎儿颅面部三维容积自动获取标准切面的方法

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080240532A1 (en) * 2007-03-30 2008-10-02 Siemens Corporation System and Method for Detection of Fetal Anatomies From Ultrasound Images Using a Constrained Probabilistic Boosting Tree
US20120177294A1 (en) * 2011-01-10 2012-07-12 Microsoft Corporation Image retrieval using discriminative visual features
KR20140066573A (ko) * 2012-11-23 2014-06-02 삼성메디슨 주식회사 태아의 바이오메트리 정보를 제공하는 초음파 시스템 및 방법
US20160000401A1 (en) * 2014-07-07 2016-01-07 General Electric Company Method and systems for adjusting an imaging protocol
CN110338844A (zh) * 2015-02-16 2019-10-18 深圳迈瑞生物医疗电子股份有限公司 三维成像数据的显示处理方法和三维超声成像方法及系统
CN110009640A (zh) * 2018-11-20 2019-07-12 腾讯科技（深圳）有限公司 处理心脏视频的方法、设备和可读介质
CN110604592A (zh) * 2019-03-04 2019-12-24 北京大学第三医院 一种髋关节的成像方法以及髋关节成像系统
CN110464380A (zh) * 2019-09-12 2019-11-19 李肯立 一种对中晚孕期胎儿的超声切面图像进行质量控制的方法
CN110742654A (zh) * 2019-11-05 2020-02-04 深圳度影医疗科技有限公司 一种基于三维超声图像的标准切面的定位和测量方法
CN111402244A (zh) * 2020-03-20 2020-07-10 华侨大学 一种胎儿心脏标准切面自动分类法
CN112155601A (zh) * 2020-09-24 2021-01-01 广州爱孕记信息科技有限公司 一种胎儿超声图像的成像质量控制的确定方法及装置
CN112155603A (zh) * 2020-09-24 2021-01-01 广州爱孕记信息科技有限公司 胎儿结构特征的权重值确定方法及装置
CN112155602A (zh) * 2020-09-24 2021-01-01 广州爱孕记信息科技有限公司 一种胎儿最优标准切面的确定方法及装置
CN112184656A (zh) * 2020-09-24 2021-01-05 广州爱孕记信息科技有限公司 基于超声动态图像的胎儿切面的确定方法及装置
CN112215806A (zh) * 2020-09-24 2021-01-12 广州爱孕记信息科技有限公司 胎儿超声影像的检测结果的输出控制方法、装置及系统

Also Published As

Publication number Publication date
CN112155603B (zh) 2023-06-09
CN112155603A (zh) 2021-01-01

Similar Documents

Publication Publication Date Title
WO2022062458A1 (fr) Procédé et appareil pour déterminer une vue fœtale standard optimale
WO2022062461A1 (fr) Procédé et dispositif de détermination de section fœtale sur la base d'une image dynamique ultrasonore
US20240062369A1 (en) Detection model training method and apparatus, computer device and storage medium
US11487995B2 (en) Method and apparatus for determining image quality
US20210166383A1 (en) Method and device for detecting and locating lesion in medical image, equipment and storage medium
US11449702B2 (en) Systems and methods for searching images
WO2022062460A1 (fr) Procédé et dispositif pour déterminer la commande de qualité d'imagerie d'une image ultrasonore fœtale
WO2019119505A1 (fr) Procédé et dispositif de reconnaissance faciale, dispositif informatique et support d'enregistrement
US20200035351A1 (en) Method for predicting anatomical landmarks and device for predicting anatomical landmarks using the same
WO2022062456A1 (fr) Procédé et appareil pour commander la sortie d'un résultat de détection d'une image ultrasonore fœtale, et système
WO2022062459A1 (fr) Procédé et dispositif de mesure automatique pour caractéristique structurelle fœtale
WO2021115356A1 (fr) Procédé d'ajustement adaptatif de largeur de fenêtre et de position de centre de fenêtre, appareil, système informatique et support de stockage
WO2022062457A1 (fr) Procédé et appareil pour déterminer des valeurs de poids de caractéristiques de structure fœtale
CN105405119B (zh) 基于深度置信网络和三维模型的胎儿正中矢状面自动检测方法
CN110522449B (zh) 一种斑块分型方法、装置、电子设备及可读存储介质
WO2021190656A1 (fr) Procédé et appareil de localisation du centre de la macula dans une image de fond d'oeil, serveur et support de stockage
CN113421192B (zh) 对象统计模型的训练方法、目标对象的统计方法和装置
CN112348780A (zh) 一种胎儿心脏的测量方法及装置
CN112614573A (zh) 基于病理图像标注工具的深度学习模型训练方法及装置
CN111652862A (zh) 脊柱顺列分类方法、计算机设备和存储介质
CN110969617B (zh) 视杯视盘图像识别方法、装置、设备及存储介质
CN111383353B (zh) 基于高斯混合模型和轮廓描述子的断骨模型配准方法
CN112991289B (zh) 图像标准切面的处理方法及装置
CN110378910A (zh) 基于图谱融合的腹腔多器官分割方法及装置
CN115063395A (zh) 一种超声图像处理方法、装置、设备及介质

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21870844

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 21870844

Country of ref document: EP

Kind code of ref document: A1