Ultrasonic parameter measurement methods, devices and computer equipment

Abstract

This application relates to a method, apparatus, and computer device for measuring ultrasound parameters. The method, based on digital image processing and image segmentation technology, can automatically measure various parameters of fetal cardiac ultrasound images, including cardiac axis angle, cardiac transverse diameter, thoracic cavity transverse diameter, cardiothoracic diameter ratio, cardiac area, thoracic cavity area, cardiac circumference, thoracic cavity circumference, cardiothoracic area ratio, and cardiothoracic circumference ratio; left and right ventricular wall thickness; interventricular septum thickness; anteroposterior and lateral diameters of the left and right atria and ventricles; areas of the left and right atria and ventricles; areas of the left and right lungs; descending aorta diameter; and distance from the descending aorta to the left atrium. Compared with manual measurements by doctors, the ultrasound parameter measurement method of this application effectively improves measurement accuracy and precision, meeting the practical needs of doctors.

Description

Technical Field

[0001] This application relates to the field of ultrasonic image processing technology, and in particular to an ultrasonic parameter measurement method, apparatus, computer equipment, storage medium, and computer program product. Background Technology

[0002] Congenital heart disease (CHD) is a serious fetal abnormality and a leading cause of perinatal and neonatal mortality worldwide. Ultrasound is the primary method for prenatal screening of fetal heart defects. In fetal echocardiography, the four-chamber view is crucial.

[0003] Traditional measurements of four-chamber heart parameters require medical staff to manually perform operations such as positioning and connecting lines, which is a cumbersome process and highly dependent on the doctor's professional skills. Summary of the Invention

[0004] Therefore, it is necessary to provide an ultrasonic parameter measurement method, device, computer equipment, computer-readable storage medium, and computer program product that can improve the efficiency and accuracy of examinations, addressing the aforementioned technical problems.

[0005] Firstly, this application provides a method for measuring ultrasonic parameters. The method includes:

[0006] Obtain fetal echocardiography of the first four chambers at the end of systole and the second four chambers at the end of diastole;

[0007] Based on the segmentation results of the interventricular septum, spine, and thoracic cavity in the first four-chamber echocardiogram, the first cardiac axis and the second cardiac axis are obtained, and the cardiac axis angle is obtained based on the angle between the first cardiac axis and the second cardiac axis.

[0008] Based on the segmentation results of the heart and thoracic cavity in the first four-chamber echocardiogram, the first cardiothoracic parameters were measured.

[0009] Based on the segmentation of the heart and thoracic cavity in the second four-chamber echocardiogram, the second cardiothoracic parameters were measured.

[0010] Based on the segmentation results of the left and right ventricular walls in the second four-chamber echocardiogram, the ventricular wall thickness parameters and interventricular septum thickness were measured.

[0011] Based on the segmentation results of the atria and ventricles in the first four-chamber echocardiogram, atrial and ventricular parameters were measured.

[0012] Based on the segmentation results of the left and right lungs in the first or second four-chamber echocardiogram, the areas of the left and right lungs are measured.

[0013] The descending aorta diameter is measured based on the segmentation results of the descending aorta in the first or second four-chamber echocardiogram.

[0014] The distance from the descending aorta to the left atrium is measured based on the segmentation results of the descending aorta and left atrium in the first or second four-chamber echocardiogram.

[0015] In one embodiment,

[0016] The process of obtaining the first cardiac axis and the second cardiac axis based on the segmentation results of the interventricular septum, spine, and thoracic cavity in the first four-chamber echocardiogram, and obtaining the cardiac axis angle based on the angle between the first cardiac axis and the second cardiac axis, includes:

[0017] The ventricular septum is segmented in the first four-chamber echocardiogram.

[0018] The ventricular septum is subjected to skeletalization processing to obtain points on the central axis of the ventricular septum;

[0019] By fitting points on the midline of the interventricular septum, the first cardiac axis is obtained;

[0020] The spine and thoracic cavity of the first four-chamber echocardiogram are divided, and the second cardiac axis is obtained by connecting the centroids of the spine and thoracic cavity. Alternatively, the left and right lungs of the first four-chamber echocardiogram are divided, and the second cardiac axis is obtained by perpendicular line from the midpoint of the line connecting the centers of the largest circular areas of the left and right lungs.

[0021] The cardiac axis angle is obtained based on the angle between the first cardiac axis and the second cardiac axis.

[0022] In one embodiment, the first cardiothoracic parameter includes: transverse diameter of the heart, transverse diameter of the thoracic cavity, and the cardiothoracic diameter ratio;

[0023] The first cardiothoracic parameter is measured based on the segmentation of the heart and thoracic cavity in the first four-chamber echocardiogram, including:

[0024] Based on the segmentation results of the heart and thoracic cavity in the first four-chamber echocardiogram, the heart contour and thoracic cavity contour are obtained.

[0025] In the fitted ellipse corresponding to the heart contour, the largest diameter perpendicular to the first cardiac axis is taken to obtain the transverse diameter of the heart.

[0026] In the fitted ellipse corresponding to the chest cavity contour, the largest diameter perpendicular to the second central axis is taken to obtain the transverse diameter of the chest cavity;

[0027] The cardiothoracic diameter ratio is obtained based on the ratio of the transverse diameter of the heart to the transverse diameter of the thoracic cavity.

[0028] In one embodiment, the second cardiothoracic parameters include: heart area, thoracic cavity area, heart circumference, thoracic cavity circumference, cardiothoracic area ratio, and cardiothoracic circumference ratio;

[0029] The second cardiothoracic parameter is measured based on the segmentation of the heart and thoracic cavity in the second four-chamber echocardiogram, including:

[0030] Based on the segmentation results of the heart and thoracic cavity in the second four-chamber echocardiogram, the heart contour and thoracic cavity contour are obtained.

[0031] The area and perimeter of the heart are obtained by fitting an ellipse corresponding to the heart's outline.

[0032] The area and perimeter of the thoracic cavity are obtained by using the area and perimeter of the fitted ellipse corresponding to the thoracic cavity contour.

[0033] The heart-to-chest area ratio is obtained based on the ratio of the heart area to the chest cavity area.

[0034] The cardiothoracic circumference ratio is obtained based on the ratio of the heart circumference to the thoracic cavity circumference.

[0035] In one embodiment, the ventricular wall thickness parameter includes the left ventricular wall thickness and the right ventricular wall thickness;

[0036] The method of measuring ventricular wall thickness parameters and interventricular septum thickness based on the segmentation results of the left and right ventricular walls in the second four-chamber echocardiogram includes:

[0037] The left ventricular wall, right ventricular wall and interventricular septum of the second four-chamber echocardiogram are segmented to obtain the left ventricular arm contour, right ventricular arm contour and interventricular septum contour;

[0038] The centroid of the interventricular septum is taken based on the interventricular septum profile. A straight line perpendicular to the first heart axis is drawn through the centroid. The two intersection points of the straight line and the left ventricular wall profile are taken. The thickness of the left ventricular wall is obtained by connecting the two intersection points.

[0039] Take the two intersection points of the straight line and the contour of the right ventricular wall, and connect the two intersection points to obtain the thickness of the right ventricular wall;

[0040] Take the centroid of the interventricular septum, draw a straight line perpendicular to the first heart axis through the centroid, take the two intersection points of the straight line and the outline of the interventricular septum, and connect the two intersection points to obtain the interventricular septum thickness.

[0041] In one embodiment, the atrial parameters include: the anteroposterior diameter of the left atrium, the anteroposterior diameter of the right atrium, the transverse diameter of the left atrium, and the transverse diameter of the right atrium.

[0042] The ventricular parameters include: the anteroposterior diameter of the left ventricle, the anteroposterior diameter of the right ventricle, the transverse diameter of the left ventricle, and the transverse diameter of the right ventricle.

[0043] The atrial and ventricular parameters measured based on the segmentation results of the first four-chamber echocardiogram include:

[0044] The atria and ventricles of the first four-chamber echocardiogram are segmented to obtain the outlines of the left atrium, right atrium, left ventricle, and right ventricle.

[0045] Based on the outlines of the left and right atria respectively, the centroids of the left and right atria are taken. A straight line parallel to the first cardiac axis is drawn through the centroid of the left atria to obtain the anteroposterior diameter of the left atria. A straight line parallel to the first cardiac axis is drawn through the centroid of the right atria to obtain the anteroposterior diameter of the right atria.

[0046] Based on the outlines of the left and right ventricles, the centroids of the left and right ventricles are taken respectively. A straight line parallel to the first cardiac axis is drawn through the centroid of the left ventricle to obtain the anteroposterior diameter of the left ventricle. A straight line parallel to the first cardiac axis is drawn through the centroid of the right ventricle to obtain the anteroposterior diameter of the right ventricle.

[0047] The left and right diameters of the left atrium are obtained by drawing a straight line perpendicular to the anteroposterior diameter of the left atrium through the center of mass of the left atrium. The left and right diameters of the right atrium are also obtained by drawing a straight line perpendicular to the anteroposterior diameter of the right atrium through the center of mass of the right atrium. The left and right diameters of the left ventricle are obtained by drawing a straight line perpendicular to the anteroposterior diameter of the left ventricle through the center of mass of the left ventricle. The left and right diameters of the right ventricle are also obtained by drawing a straight line perpendicular to the anteroposterior diameter of the right ventricle through the center of mass of the right ventricle.

[0048] In one embodiment, measuring the distance from the descending aorta to the left atrium based on the segmentation results of the descending aorta and left atrium in the first or second four-chamber echocardiogram includes:

[0049] Based on the segmentation results of the descending aorta and left atrium in the first or second four-chamber echocardiogram, the outlines of the descending aorta and left atrium are obtained.

[0050] The distance between the contours of the descending aorta and the left atrium is calculated point by point, and the minimum value is taken as the distance from the descending aorta to the left atrium.

[0051] In one embodiment, acquiring the fetal first four-chamber echocardiogram view at end-systole and the second four-chamber echocardiogram view at end-diastole includes:

[0052] Segmenting four-chamber ultrasound images from fetal ultrasound images;

[0053] Based on the current four-chamber echocardiogram image and the two four-chamber echocardiogram images before and after it, identify the first four-chamber echocardiogram section at the end of cardiac systole and the second four-chamber echocardiogram section at the end of diastole.

[0054] Secondly, this application also provides an ultrasonic parameter measuring device. The device includes:

[0055] The image acquisition module is used to acquire the first four-chamber echocardiogram view of the fetus at the end of cardiac systole and the second four-chamber echocardiogram view at the end of diastole.

[0056] The axillary axis angle measurement module is used to obtain the first cardiac axis and the second cardiac axis based on the segmentation results of the interventricular septum, spine and thoracic cavity in the first four-chamber echocardiogram, and to obtain the axillary axis angle based on the angle between the first cardiac axis and the second cardiac axis.

[0057] The first cardiothoracic measurement module is used to measure the first cardiothoracic parameters based on the segmentation results of the heart and thoracic cavity in the first four-chamber echocardiogram.

[0058] The second cardiothoracic measurement module is used to measure the second cardiothoracic parameters based on the segmentation results of the heart and thoracic cavity in the second four-chamber echocardiogram.

[0059] The ventricular wall parameter measurement module is used to measure the ventricular wall thickness parameters and interventricular septum thickness based on the segmentation results of the left and right ventricular walls in the second four-chamber echocardiogram.

[0060] Based on the segmentation results of the atria and ventricles in the first four-chamber echocardiogram, atrial and ventricular parameters were measured.

[0061] Based on the segmentation results of the left and right lungs in the first or second four-chamber echocardiogram, the areas of the left and right lungs are measured.

[0062] The descending aorta diameter is measured based on the segmentation results of the descending aorta in the first or second four-chamber echocardiogram.

[0063] The distance from the descending aorta to the left atrium is measured based on the segmentation results of the descending aorta and left atrium in the first or second four-chamber echocardiogram.

[0064] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the ultrasonic parameter measurement methods of the above embodiments.

[0065] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, implements the steps of the ultrasonic parameter measurement methods of the above embodiments.

[0066] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, implements the steps of the ultrasonic parameter measurement methods of the above embodiments.

[0067] The aforementioned ultrasound parameter measurement methods, devices, computer equipment, storage media, and computer program products, based on digital image processing and image segmentation technologies, can automatically measure various parameters of fetal cardiac ultrasound images. Compared with the results of manual measurements by doctors, no manual intervention is required, effectively improving measurement accuracy and precision, and meeting the actual needs of doctors. Attached Figure Description

[0068] Figure 1 This is a diagram illustrating the application environment of an ultrasonic parameter measurement method in one embodiment;

[0069] Figure 2 This is a flowchart illustrating the steps for obtaining the mandrel angle in one embodiment;

[0070] Figure 3 This is a schematic diagram of the first central axis in one embodiment;

[0071] Figure 4 This is a schematic diagram of the first central axis, the second central axis, and the angle of the spindle in another embodiment;

[0072] Figure 5 This is a schematic diagram of the second central axis in another embodiment;

[0073] Figure 6 This is a schematic diagram of a second four-chamber echocardiogram image according to one embodiment;

[0074] Figure 7 A schematic diagram of a cardiac mask and a thoracic mask according to one embodiment;

[0075] Figure 8 This is a schematic diagram of the extracted heart and chest cavity contours as an example.

[0076] Figure 9 This is a schematic diagram of the ventricular wall thickness parameters and interventricular septum thickness measured in one embodiment;

[0077] Figure 10 This is a schematic diagram of the anteroposterior diameter and lateral diameter of the left atrium, right atrium, left ventricle, and right ventricle in one embodiment;

[0078] Figure 11 This is a schematic diagram of a four-chamber echocardiogram in one embodiment;

[0079] Figure 12 This is a schematic diagram of the segmentation mask for the left and right lungs in one embodiment;

[0080] Figure 13 This is a schematic diagram illustrating the distance from the descending aorta to the left atrium in one embodiment;

[0081] Figure 14 This is a structural block diagram of an ultrasonic parameter measuring device in one embodiment;

[0082] Figure 15 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0083] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0084] An ultrasonic parameter measurement method is applied to a terminal connected to an ultrasonic probe. The ultrasonic probe acquires ultrasonic images and sends them to the terminal for measurement and processing. Figure 1 As shown, the method includes:

[0085] Step 102: Obtain the first four-chamber echocardiogram view of the fetus at the end of cardiac systole and the second four-chamber echocardiogram view at the end of diastole.

[0086] A four-chamber echocardiogram (4-chamber view) is a standard four-chamber image, conforming to the image required for clinical measurements of cardiac parameters. The cardiac cycle refers to the mechanical activity cycle of the heart completing one contraction and relaxation. Various cardiac parameters requiring measurement can be obtained using the first four-chamber echocardiogram at the end of systole or the second four-chamber echocardiogram at the end of diastole.

[0087] In the measurement of four-chamber echocardiography parameters, the parameters measured at end-systole and end-diastole differ. End-diastolic measurements primarily reflect the filling status of the ventricles and atria, and can therefore be used to measure parameters such as cardiothoracic area and circumference. In contrast, end-systolic measurements primarily reflect the systolic function of the ventricles and the structure of the ventricular walls, and can be used to measure parameters such as cardiac axis and atrial measurements.

[0088] Step 104: Based on the segmentation results of the interventricular septum, spine and thoracic cavity in the first four-chamber echocardiogram, the first cardiac axis and the second cardiac axis are obtained, and the cardiac axis angle is obtained based on the angle between the first cardiac axis and the second cardiac axis.

[0089] The first and second cardiac axes are used to calculate the cardiac axis angle. In normal fetuses, the cardiac axis angle ranges from 32.9 degrees to 49.3 degrees during testing.

[0090] The measurement of the axial angle is mainly based on the precise division of the interventricular septum in the four-chamber view.

[0091] In one embodiment, such as Figure 2 As shown, based on the segmentation results of the interventricular septum, spine, and thoracic cavity in the first four-chamber echocardiogram, the first cardiac axis and the second cardiac axis are obtained. Furthermore, based on the angle between the first and second cardiac axes, the cardiac axis angle is obtained, including:

[0092] Step 201: Segment the ventricular septum in the first four-chamber echocardiogram.

[0093] Specifically, machine learning methods can be used to learn the image features of the ventricular septum using a model, thereby segmenting the ventricular septum in the first four-chamber echocardiogram.

[0094] Step 202: Perform skeletalization on the interventricular septum to obtain points on the central axis of the interventricular septum.

[0095] Specifically, the septum is skeletonized, and the algorithm can extract a set of points representing the central axis of the septum.

[0096] Step 203: Fit the points on the midline of the interventricular septum to obtain the first cardiac axis.

[0097] Specifically, the least squares method is used to fit a straight line to the points on the midline of the interventricular septum, obtaining the first atrial axis, which is then displayed on the terminal screen, as shown below. Figure 3 As shown.

[0098] Step 204: Segment the spine and thoracic cavity of the first four-chamber echocardiogram and obtain the second cardiac axis based on the line connecting the centroids of the spine and thoracic cavity; or, segment the left and right lungs of the first four-chamber echocardiogram and obtain the second cardiac axis based on the perpendicular line from the midpoint of the line connecting the centers of the largest circular areas of the left and right lungs.

[0099] Specifically, the spine and the entire thoracic cavity are segmented in the first four-chamber echocardiogram to obtain the spinal and thoracic structures. The centroids of the spine and thoracic cavity are determined using OpenCV's `moment` function. Then, the line connecting the two centroids is defined as the second cardiac axis, as shown below. Figure 4 As shown

[0100] For images where the spine is not shown, the largest circular areas of the left and right lungs are determined based on the segmentation results. Then, the midpoint of the line connecting the centers of the two largest circular areas is selected, and a perpendicular line is drawn from this midpoint as the second central axis, as shown below. Figure 5 As shown.

[0101] Step 205: Obtain the cardiac axis angle based on the angle between the first cardiac axis and the second cardiac axis.

[0102] In this embodiment, using image processing methods, the terminal automatically identifies and segments the interventricular septum, spine, and thoracic cavity in the first four-chamber echocardiogram, thereby obtaining the first and second cardiac axes. Based on the angle between the two, the cardiac axis angle is automatically calculated and visualized for medical staff reference. This method eliminates the need for manual positioning and wiring by medical staff, improving the accuracy and efficiency of measurements.

[0103] Furthermore, after step 104, the ultrasonic parameter measurement method further includes:

[0104] Step 106: Based on the segmentation results of the heart and thoracic cavity in the first four-chamber echocardiogram, the first cardiothoracic parameters are measured.

[0105] Specifically, the first cardiothoracic parameters include: cardiac transverse diameter, thoracic cavity transverse diameter, and cardiothoracic diameter ratio. The automatic measurement of the first cardiothoracic parameters is based on the precise segmentation of the heart and thoracic cavity in the first four-chamber echocardiogram.

[0106] Specifically, based on the segmentation results of the heart and thoracic cavity in the first four-chamber echocardiogram, the first cardiothoracic parameters are measured, including: obtaining the heart contour and thoracic cavity contour based on the segmentation results of the heart and thoracic cavity in the first four-chamber echocardiogram; taking the largest diameter perpendicular to the first cardiac axis in the fitted ellipse corresponding to the heart contour to obtain the transverse diameter of the heart; taking the largest diameter perpendicular to the second cardiac axis in the fitted ellipse corresponding to the thoracic cavity contour to obtain the transverse diameter of the thoracic cavity; and obtaining the cardiothoracic transverse diameter ratio based on the ratio of the transverse diameter of the heart to the transverse diameter of the thoracic cavity.

[0107] Specifically, the segmented heart is fitted into an ellipse. Within this ellipse, the largest diameter perpendicular to the first axis of the heart axis measurement is taken as the heart's transverse diameter. The thoracic cavity is also fitted into an ellipse, and within this ellipse, the largest diameter perpendicular to the second axis of the heart is defined as the thoracic cavity's transverse diameter. Finally, the ratio of the heart's transverse diameter to the thoracic cavity's transverse diameter is calculated; this ratio is the cardiothoracic transverse diameter ratio.

[0108] In this embodiment, using image processing methods, the terminal automatically identifies and segments the heart and thoracic cavity contours of the first four-chamber echocardiogram and fits an ellipse. Based on this, the transverse diameter of the heart and the transverse diameter of the thoracic cavity are measured, thus obtaining the cardiothoracic diameter ratio, which is then visualized and displayed to medical staff for reference. This method eliminates the need for medical staff to manually locate points and make connections, improving the accuracy and efficiency of the measurement.

[0109] Step 108: Based on the segmentation results of the heart and thoracic cavity in the second four-chamber echocardiogram, the second cardiothoracic parameters are measured.

[0110] Specifically, the second cardiothoracic parameters include: heart area, thoracic cavity area, heart circumference, thoracic cavity circumference, cardiothoracic area ratio, and cardiothoracic circumference ratio. The measurement of the second cardiothoracic parameters is based on the complete segmentation of the heart and thoracic cavity in the second four-chamber echocardiogram.

[0111] Specifically, based on the segmentation results of the heart and thoracic cavity in the second four-chamber echocardiogram, the second cardiothoracic parameters are measured, including: obtaining the heart contour and thoracic cavity contour based on the segmentation results of the heart and thoracic cavity in the second four-chamber echocardiogram; obtaining the heart area and heart circumference based on the area and perimeter of the fitted ellipse corresponding to the heart contour; obtaining the thoracic cavity area and thoracic cavity circumference based on the area and perimeter of the fitted ellipse corresponding to the thoracic cavity contour; obtaining the cardiothoracic area ratio based on the ratio of the heart area to the thoracic cavity area; and obtaining the cardiothoracic circumference ratio based on the ratio of the heart circumference to the thoracic cavity circumference.

[0112] Specifically, for such Figure 6 The image shown is a second-to-fourth chamber echocardiogram, segmented to separate the heart and pleural cavity, yielding the cardiac mask and pleural mask as shown. Figure 7 As shown, the heart contour and chest cavity contour are obtained by fitting the heart mask and chest cavity mask, as shown in the figure. Figure 8 As shown, the above parameters are calculated based on the heart and chest contours. The calculation formula is as follows:

[0113] E c =F(m) c ), (1)

[0114] E t =F(m) t (2)

[0115]

[0116]

[0117] Where, m c and m t These represent the heart mask and the chest mask, respectively. In these masks, a pixel value of 1 indicates the presence of an object, while a value of 0 indicates the background. F represents the ellipse fitted to the mask, A represents the area of ​​the ellipse, and L represents the perimeter of the ellipse.

[0118] The process of fitting an ellipse includes: extracting contour points to refine the mask image, and then using OpenCV's fitEllipse method to obtain the center coordinates, major and minor axis lengths, and rotation angle of the ellipse. This technique uses the least squares method to minimize the sum of the distances from all contour points to the ellipse, thereby fitting the optimal ellipse.

[0119] In this embodiment, using image processing methods, the terminal automatically identifies and segments the heart and thoracic cavity contours in the second and fourth chamber echocardiogram, and fits an ellipse. Based on this, the heart area, thoracic cavity area, heart circumference, thoracic cavity circumference, cardiothoracic area ratio, and cardiothoracic circumference ratio are measured and visualized for medical staff reference. This method eliminates the need for manual point positioning and wiring operations by medical staff, improving the accuracy and efficiency of the measurement.

[0120] Step 110: Based on the segmentation results of the left and right ventricular walls in the second and fourth chamber echocardiogram, the ventricular wall thickness parameters and interventricular septum thickness are measured.

[0121] Specifically, the measurements of ventricular wall thickness parameters and interventricular septum thickness are primarily based on the precise segmentation results of the left and right ventricular walls in the second and fourth chamber echocardiogram. The ventricular wall thickness parameters include the thickness of the left and right ventricular walls.

[0122] Specifically, based on the segmentation results of the left and right ventricular walls in the second and fourth chamber echocardiogram, the measured ventricular wall thickness parameters and interventricular septal thickness are as follows: Figure 9 As shown. This step includes: segmenting the left ventricular wall, right ventricular wall, and interventricular septum in the second four-chamber echocardiogram to obtain the contours of the left ventricular arm, right ventricular arm, and interventricular septum; taking the centroid of the interventricular septum based on the interventricular septum contour, drawing a straight line perpendicular to the first cardiac axis through the centroid, taking the two intersection points of the straight line with the left ventricular wall contour, and connecting the two intersection points to obtain the left ventricular wall thickness; taking the two intersection points of the straight line with the right ventricular wall contour, and connecting the two intersection points to obtain the right ventricular wall thickness; taking the centroid of the interventricular septum, drawing a straight line perpendicular to the first cardiac axis through the centroid, taking the two intersection points of the straight line with the interventricular septum contour, and connecting the two intersection points to obtain the interventricular septum thickness.

[0123] Specifically, using image processing methods, the terminal automatically identifies and segments the left ventricular wall, right ventricular wall, and interventricular septum in the second and fourth chamber echocardiogram. Based on this, the thickness of the left ventricular wall, right ventricular wall, and interventricular septum are measured and visualized for medical staff reference. This method eliminates the need for manual positioning and wiring by medical staff, improving the accuracy and efficiency of the measurements.

[0124] Step 112: Based on the segmentation results of the atria and ventricles in the first four-chamber echocardiogram, the atrial and ventricular parameters are measured.

[0125] Specifically, atrial parameters include: the anteroposterior diameter of the left atrium, the anteroposterior diameter of the right atrium, the transverse diameter of the left atrium, and the transverse diameter of the right atrium.

[0126] Ventricular parameters include: the anteroposterior diameter of the left ventricle, the anteroposterior diameter of the right ventricle, the transverse diameter of the left ventricle, and the transverse diameter of the right ventricle.

[0127] The measurement of atrial and ventricular parameters is based on the precise segmentation of the atria and ventricles in the first four-chamber echocardiogram.

[0128] Specifically, based on the segmentation results of the atria and ventricles in the first four-chamber echocardiogram, atrial and ventricular parameters are measured, including: segmenting the atria and ventricles in the first four-chamber echocardiogram to obtain the left atrial contour, right atrial contour, left ventricular contour, and right ventricular contour; taking the left atrial centroid and right atrial centroid respectively based on the left atrial and right atrial contours; drawing a straight line parallel to the first cardiac axis through the left atrial centroid to obtain the anteroposterior diameter of the left atrium; drawing a straight line parallel to the first cardiac axis through the right atrial centroid to obtain the anteroposterior diameter of the right atrium; taking the left atrial centroid and right ventricular contour respectively based on the left atrial and right ventricular contours. The anteroposterior diameter of the left ventricle is obtained by drawing a straight line parallel to the first cardiac axis through the center of mass of the left ventricle and the center of mass of the right ventricle. The anteroposterior diameter of the right ventricle is obtained by drawing a straight line parallel to the first cardiac axis through the center of mass of the left atrium. The left-right diameter of the left atrium is obtained by drawing a straight line perpendicular to the anteroposterior diameter of the left atrium through the center of mass of the left atrium. The left-right diameter of the right atrium is obtained by drawing a straight line perpendicular to the anteroposterior diameter of the right atrium through the center of mass of the right atrium. The left-right diameter of the left ventricle is obtained by drawing a straight line perpendicular to the anteroposterior diameter of the left ventricle through the center of mass of the left ventricle and the right-right diameter of the right ventricle through the center of mass of the right ventricle.

[0129] like Figure 10 As shown, using image processing methods, the terminal automatically identifies and segments the left and right atria and ventricles in the first four-chamber echocardiogram. Based on this, the anteroposterior diameter of the left and right atria, the left and right lateral diameters of the left and right atria, and the anteroposterior diameter of the left and right ventricles are measured and visualized for medical staff reference. This method eliminates the need for manual positioning and wiring by medical staff, improving the accuracy and efficiency of the measurements.

[0130] Step 114: Based on the segmentation results of the left and right lungs in the first or second four-chamber echocardiogram, measure the area of ​​the left lung and the area of ​​the right lung.

[0131] Specifically, the measurement of the left and right lung areas can be based on the precise segmentation results of the left and right lungs in the first or second four-chamber echocardiogram. Specifically, based on the segmentation results of the left and right lungs in the first or second four-chamber echocardiogram, a segmentation mask for the left and right lungs is obtained. For example, for... Figure 11 The four-chamber echocardiogram section shown, with the segmentation mask for the left and right lungs obtained by segmenting the left and right lungs as shown... Figure 12As shown in the diagram, a pixel value of 1 within the mask indicates that it belongs to the area of ​​the left and right lungs, while a value of 0 indicates the background. The area of ​​the left and right lungs can be obtained by counting the number of non-zero pixels using the `count_nonzero` function in the NumPy library.

[0132] Step 116: Measure the inner diameter of the descending aorta based on the segmentation results of the descending aorta in the first or second four-chamber echocardiogram.

[0133] Specifically, the method for calculating the inner diameter of the descending aorta is mainly based on the precise segmentation results of the descending aorta using either the first or second four-chamber echocardiogram. After segmenting the contour of the descending aorta, the minimum circumcircle of the descending aorta contour is obtained using the minEnclosingCircle function of OpenCV, and the diameter of the circle is taken as the inner diameter of the descending aorta.

[0134] Step 118: Based on the segmentation results of the descending aorta and left atrium in the first or second four-chamber echocardiogram, measure the distance from the descending aorta to the left atrium.

[0135] Specifically, the method for calculating the distance from the descending aorta to the left atrium is mainly based on the segmentation results of the descending aorta and left atrium in the first or second four-chamber echocardiogram, obtaining the segmentation mask for the descending aorta and the left atrium. Based on the segmentation masks for the descending aorta and the left atrium, the contours of the descending aorta and the left atrium are calculated respectively. The distance between the contours of the descending aorta and the left atrium is calculated point by point, and the minimum value is taken as the distance from the descending aorta to the left atrium. Figure 13 As shown.

[0136] The ultrasound parameter measurement method of this application, based on digital image processing technology and image segmentation technology, can automatically measure various parameters of fetal cardiac ultrasound images. Compared with the results of manual measurement by doctors, it does not require manual intervention, effectively improving the measurement accuracy and precision, and can meet the actual needs of doctors.

[0137] In another embodiment, acquiring a first four-chamber ultrasound view of the fetus at the end of cardiac systole and a second four-chamber ultrasound view at the end of diastole includes: segmenting a four-chamber ultrasound image from an ultrasound image of the fetus; and identifying the first four-chamber ultrasound view at the end of cardiac systole and the second four-chamber ultrasound view at the end of diastole based on the current four-chamber ultrasound image and two frames of four-chamber ultrasound images before and after it.

[0138] In other words, this process consists of two steps. The first step is to segment the four-chamber ultrasound image from the fetal ultrasound image. The second step is cardiac cycle identification, which identifies the first four-chamber ultrasound view at the end of systole and the second four-chamber ultrasound view at the end of diastole.

[0139] For the first step, four-chamber ultrasound images are segmented from fetal ultrasound images. Specifically, the NNunetV2 framework is used for four-chamber ultrasound image segmentation. GPU parallel computing is employed to accelerate the model training and inference process, with the following specific strategy:

[0140] 1. Data Parallelism. Data parallelism is a parallel training technique. Its core idea is to divide the training data into multiple subsets and assign each subset to a different computing node for training. Each computing node independently trains its own subset of data and periodically exchanges model parameters with other nodes to ensure that the models trained by all nodes are consistent. The most intuitive way to implement data parallelism is to evenly divide the training data into multiple subsets, each containing the same number of data samples. Then, each subset is assigned to a computing node, and each node independently trains its own subset of data. During training, each node periodically exchanges its model parameters with other nodes to ensure that the models trained by all nodes are consistent.

[0141] 2. Convolution acceleration algorithm. The im2col+GEMM convolution acceleration algorithm is used to accelerate convolution.

[0142] First, `im2col` converts the input image into matrix form so that convolution operations can be performed using matrix multiplication. This conversion simplifies the convolution process and also facilitates efficient computation using basic linear algebra libraries (such as BLAS). Given an input image, `im2col` converts it into a matrix according to parameters such as kernel size and stride. Each column of the matrix corresponds to a local region obtained after the convolution kernel slides across the input image.

[0143] Next, the GEMM algorithm is used to convert the convolution kernel into a matrix. This matrix can be reused repeatedly in the convolution operation. By performing matrix multiplication between the im2col-transformed matrix and the convolution kernel matrix, an intermediate result matrix is ​​obtained. This intermediate result matrix is ​​then reshaped to the shape of the output feature map.

[0144] The im2col and GEMM algorithms can transform convolution operations into efficient matrix multiplication operations, thereby accelerating the training and inference processes of convolutional neural networks. This method is widely used in the implementation of deep learning frameworks and can significantly improve the computational efficiency of convolutional neural networks.

[0145] For the second step, cardiac cycle identification, the measurement of cardiac parameters needs to be performed under a specific cardiac cycle. Therefore, it is first necessary to identify which cardiac cycle the heart is currently in. YOLOv5 is used for cardiac cycle identification.

[0146] To better identify specific cardiac cycles, the training images need to be preprocessed. Specifically, three images are taken: a frame labeled "end-systole" or "end-diastole" by the doctor in the video, along with one frame before and after it. Each of these three images is converted into a single-channel image, and then superimposed into a single three-channel image. This ensures that the three-channel image contains information from all three images, allowing the deep learning network to learn the changes in heart rate. The processed images are then used as training data for training with YOLOv5.

[0147] At the same time, when using the model to identify targets in the video, the same processing is required. The image to be detected is superimposed with the frames before and after it, and then input into the trained YOLOv5 model to identify the first four-chamber echocardiogram section at the end of cardiac systole and the second four-chamber echocardiogram section at the end of diastole.

[0148] In this embodiment, the method for identifying the cardiac cycle of a fetal echocardiogram based on YOLOv5 can meet the needs of real-time detection, with a processing speed of up to 30 FPS.

[0149] The ultrasound parameter measurement method of this application, based on digital image processing and image segmentation technology, can automatically measure various parameters of fetal cardiac ultrasound images, including cardiac axis angle, cardiac transverse diameter, thoracic cavity transverse diameter, cardiothoracic diameter ratio, cardiac area, thoracic cavity area, cardiac circumference, thoracic cavity circumference, cardiothoracic area ratio, and cardiothoracic circumference ratio; left and right ventricular wall thickness; interventricular septum thickness; anteroposterior and lateral diameters of the left and right atria and ventricles; areas of the left and right atria and ventricles; areas of the left and right lungs; descending aorta diameter; and distance from the descending aorta to the left atrium. Compared with manual measurements by doctors, the ultrasound parameter measurement method of this application effectively improves measurement accuracy and precision, and can meet the actual needs of doctors.

[0150] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0151] Based on the same inventive concept, this application also provides an ultrasonic parameter measuring device for implementing the ultrasonic parameter measuring method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more ultrasonic parameter measuring device embodiments provided below can be found in the limitations of the ultrasonic parameter measuring method described above, and will not be repeated here.

[0152] In one embodiment, such as Figure 14 As shown, an ultrasonic parameter measuring device is provided, comprising:

[0153] The image acquisition module 1401 is used to acquire the first four-chamber echocardiogram view of the fetus at the end of cardiac systole and the second four-chamber echocardiogram view at the end of diastole.

[0154] The atrial axis angle measurement module 1402 is used to obtain the first cardiac axis and the second cardiac axis based on the segmentation results of the interventricular septum, spine and thoracic cavity in the first four-chamber echocardiogram, and to obtain the atrial axis angle based on the angle between the first cardiac axis and the second cardiac axis.

[0155] The first cardiothoracic measurement module 1403 is used to measure the first cardiothoracic parameters based on the segmentation results of the heart and thoracic cavity in the first four-chamber echocardiogram.

[0156] The second cardiothoracic measurement module 1404 is used to measure the second cardiothoracic parameters based on the segmentation results of the heart and thoracic cavity in the second four-chamber echocardiogram.

[0157] The ventricular wall parameter measurement module 1405 is used to measure the ventricular wall thickness parameters and interventricular septum thickness based on the segmentation results of the left and right ventricular walls in the second four-chamber echocardiogram.

[0158] The atrioventricular parameter measurement module 1406 measures atrial and ventricular parameters based on the segmentation results of the atria and ventricles in the first four-chamber echocardiogram.

[0159] The lung area measurement module 1407 is used to measure the area of ​​the left lung and the area of ​​the right lung based on the segmentation results of the left and right lungs in the first four-chamber echocardiogram or the second four-chamber echocardiogram.

[0160] The descending aortic diameter measurement module 1408 is used to measure the descending aortic diameter based on the segmentation results of the descending aorta in the first four-chamber echocardiogram or the second four-chamber echocardiogram.

[0161] The distance measurement module 1409 is used to measure the distance from the descending aorta to the left atrium based on the segmentation results of the descending aorta and left atrium in the first or second four-chamber echocardiogram. Each module in the aforementioned ultrasound parameter measurement device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0162] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 15 As shown, the computer device includes a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements an ultrasonic parameter measurement method. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0163] Those skilled in the art will understand that Figure 15 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0164] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the ultrasonic parameter measurement methods of the above embodiments.

[0165] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the ultrasonic parameter measurement methods of the above embodiments.

[0166] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps of the ultrasonic parameter measurement methods of the above embodiments.

[0167] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0168] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0169] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for measuring ultrasonic parameters, characterized in that, include: Obtain fetal echocardiography of the first four chambers at the end of systole and the second four chambers at the end of diastole; Based on the segmentation results of the interventricular septum, spine, and thoracic cavity in the first four-chamber echocardiogram, the first cardiac axis and the second cardiac axis are obtained, and the cardiac axis angle is obtained based on the angle between the first cardiac axis and the second cardiac axis. Based on the segmentation results of the heart and thoracic cavity in the first four-chamber echocardiogram, the first cardiothoracic parameters were measured. The first cardiothoracic parameters include: transverse diameter of the heart, transverse diameter of the thoracic cavity, and the ratio of cardiothoracic diameter to transverse diameter; Based on the segmentation results of the heart and thoracic cavity in the second four-chamber echocardiogram, the second cardiothoracic parameters are measured; the second cardiothoracic parameters include: heart area, thoracic cavity area, heart circumference, thoracic cavity circumference, cardiothoracic area ratio, and cardiothoracic circumference ratio; Based on the segmentation results of the left and right ventricular walls in the second four-chamber echocardiogram, the ventricular wall thickness parameters and interventricular septum thickness were measured. Based on the segmentation results of the atria and ventricles in the first four-chamber echocardiogram, atrial and ventricular parameters were measured. Based on the segmentation results of the left and right lungs in the first or second four-chamber echocardiogram, the areas of the left and right lungs are measured. The descending aorta diameter is measured based on the segmentation results of the descending aorta in the first or second four-chamber echocardiogram. The distance from the descending aorta to the left atrium is measured based on the segmentation results of the descending aorta and left atrium in the first or second four-chamber echocardiogram.

2. The method according to claim 1, characterized in that, The process of obtaining the first cardiac axis and the second cardiac axis based on the segmentation results of the interventricular septum, spine, and thoracic cavity in the first four-chamber echocardiogram, and obtaining the cardiac axis angle based on the angle between the first cardiac axis and the second cardiac axis, includes: The ventricular septum is segmented in the first four-chamber echocardiogram. The ventricular septum is subjected to skeletalization processing to obtain points on the central axis of the ventricular septum; By fitting points on the midline of the interventricular septum, the first cardiac axis is obtained; The spine and thoracic cavity of the first four-chamber echocardiogram are divided, and the second cardiac axis is obtained by connecting the centroids of the spine and thoracic cavity. Alternatively, the left and right lungs of the first four-chamber echocardiogram are divided, and the second cardiac axis is obtained by perpendicular line from the midpoint of the line connecting the centers of the largest circular areas of the left and right lungs. The cardiac axis angle is obtained based on the angle between the first cardiac axis and the second cardiac axis.

3. The method according to claim 1, characterized in that, The first cardiothoracic parameter is measured based on the segmentation of the heart and thoracic cavity in the first four-chamber echocardiogram, including: Based on the segmentation results of the heart and thoracic cavity in the first four-chamber echocardiogram, the heart contour and thoracic cavity contour are obtained. In the fitted ellipse corresponding to the heart contour, the largest diameter perpendicular to the first heart axis is taken to obtain the transverse diameter of the heart. In the fitted ellipse corresponding to the chest cavity contour, the largest diameter perpendicular to the second heart axis is taken to obtain the transverse diameter of the chest cavity; The cardiothoracic diameter ratio is obtained based on the ratio of the transverse diameter of the heart to the transverse diameter of the thoracic cavity.

4. The method according to claim 1, characterized in that, The second cardiothoracic parameter is measured based on the segmentation of the heart and thoracic cavity in the second four-chamber echocardiogram, including: Based on the segmentation results of the heart and thoracic cavity in the second four-chamber echocardiogram, the heart contour and thoracic cavity contour are obtained. The area and perimeter of the heart are obtained by fitting an ellipse corresponding to the heart's outline. The area and perimeter of the thoracic cavity are obtained by using the area and perimeter of the fitted ellipse corresponding to the thoracic cavity contour. The heart-to-chest area ratio is obtained based on the ratio of the heart area to the chest cavity area. The cardiothoracic circumference ratio is obtained based on the ratio of the heart circumference to the thoracic cavity circumference.

5. The method according to claim 1, characterized in that, The ventricular wall thickness parameters include the left ventricular wall thickness and the right ventricular wall thickness; The method of measuring ventricular wall thickness parameters and interventricular septum thickness based on the segmentation results of the left and right ventricular walls in the second four-chamber echocardiogram includes: The left ventricular wall, right ventricular wall and interventricular septum of the second four-chamber echocardiogram are segmented to obtain the left ventricular arm contour, right ventricular arm contour and interventricular septum contour; The centroid of the interventricular septum is taken based on the interventricular septum profile. A straight line perpendicular to the first heart axis is drawn through the centroid. The two intersection points of the straight line and the left ventricular wall profile are taken. The thickness of the left ventricular wall is obtained by connecting the two intersection points. Take the two intersection points of the straight line and the contour of the right ventricular wall, and connect the two intersection points to obtain the thickness of the right ventricular wall; Take the centroid of the interventricular septum, draw a straight line perpendicular to the first heart axis through the centroid, take the two intersection points of the straight line and the outline of the interventricular septum, and connect the two intersection points to obtain the interventricular septum thickness.

6. The method according to claim 1, characterized in that, The atrial parameters include: the anteroposterior diameter of the left atrium, the anteroposterior diameter of the right atrium, the transverse diameter of the left atrium, and the transverse diameter of the right atrium; The ventricular parameters include: the anteroposterior diameter of the left ventricle, the anteroposterior diameter of the right ventricle, the transverse diameter of the left ventricle, and the transverse diameter of the right ventricle. The atrial and ventricular parameters measured based on the segmentation results of the first four-chamber echocardiogram include: The atria and ventricles of the first four-chamber echocardiogram are segmented to obtain the outlines of the left atrium, right atrium, left ventricle, and right ventricle. Based on the outlines of the left and right atria, the centroids of the left and right atria are taken respectively. A straight line parallel to the first heart axis is drawn through the centroid of the left atria to obtain the anteroposterior diameter of the left atria. A straight line parallel to the first heart axis is drawn through the centroid of the right atria to obtain the anteroposterior diameter of the right atria. Based on the outlines of the left and right ventricles, the centroids of the left and right ventricles are taken respectively. A straight line parallel to the first heart axis is drawn through the centroid of the left ventricle to obtain the anteroposterior diameter of the left ventricle. A straight line parallel to the first heart axis is drawn through the centroid of the right ventricle to obtain the anteroposterior diameter of the right ventricle. The left and right diameters of the left atrium are obtained by drawing a straight line perpendicular to the anteroposterior diameter of the left atrium through the center of mass of the left atrium. The left and right diameters of the right atrium are also obtained by drawing a straight line perpendicular to the anteroposterior diameter of the right atrium through the center of mass of the right atrium. The left and right diameters of the left ventricle are obtained by drawing a straight line perpendicular to the anteroposterior diameter of the left ventricle through the center of mass of the left ventricle. The left and right diameters of the right ventricle are also obtained by drawing a straight line perpendicular to the anteroposterior diameter of the right ventricle through the center of mass of the right ventricle.

7. The method according to claim 1, characterized in that, The measurement of the distance from the descending aorta to the left atrium based on the segmentation results of the descending aorta and left atrium in the first or second four-chamber echocardiogram includes: Based on the segmentation results of the descending aorta and left atrium in the first or second four-chamber echocardiogram, the outlines of the descending aorta and left atrium are obtained. The distance between the contours of the descending aorta and the left atrium is calculated point by point, and the minimum value is taken as the distance from the descending aorta to the left atrium.

8. The method according to any one of claims 1 to 7, characterized in that, The acquisition of the fetal first four-chamber echocardiogram at end-systole and the second four-chamber echocardiogram at end-diastole includes: Segmenting four-chamber ultrasound images from fetal ultrasound images; Based on the current four-chamber echocardiogram image and the two four-chamber echocardiogram images before and after it, identify the first four-chamber echocardiogram section at the end of cardiac systole and the second four-chamber echocardiogram section at the end of diastole.

9. An ultrasonic parameter measuring device, characterized in that, The device includes: The image acquisition module is used to acquire the first four-chamber echocardiogram view of the fetus at the end of cardiac systole and the second four-chamber echocardiogram view at the end of diastole. The axillary axis angle measurement module is used to obtain the first cardiac axis and the second cardiac axis based on the segmentation results of the interventricular septum, spine and thoracic cavity in the first four-chamber echocardiogram, and to obtain the axillary axis angle based on the angle between the first cardiac axis and the second cardiac axis. The first cardiothoracic measurement module is used to measure the first cardiothoracic parameters based on the segmentation results of the heart and thoracic cavity in the first four-chamber echocardiogram. The first cardiothoracic parameters include: transverse diameter of the heart, transverse diameter of the thoracic cavity, and the ratio of transverse diameter of the heart to the thoracic cavity. The second cardiothoracic measurement module is used to measure the second cardiothoracic parameters based on the segmentation results of the heart and thoracic cavity in the second four-chamber echocardiogram. The second cardiothoracic parameters include: heart area, thoracic cavity area, heart circumference, thoracic cavity circumference, cardiothoracic area ratio, and cardiothoracic circumference ratio. The ventricular wall parameter measurement module is used to measure the ventricular wall thickness parameters and interventricular septum thickness based on the segmentation results of the left and right ventricular walls in the second four-chamber echocardiogram. The atrioventricular parameter measurement module measures atrial and ventricular parameters based on the segmentation results of the atria and ventricles in the first four-chamber echocardiogram. The lung area measurement module is used to measure the area of ​​the left lung and the area of ​​the right lung based on the segmentation results of the left and right lungs in the first four-chamber echocardiogram or the second four-chamber echocardiogram. The descending aortic diameter measurement module is used to measure the descending aortic diameter based on the segmentation results of the descending aorta in the first four-chamber echocardiogram or the second four-chamber echocardiogram. The distance measurement module is used to measure the distance from the descending aorta to the left atrium based on the segmentation results of the descending aorta and left atrium in the first four-chamber echocardiogram or the second four-chamber echocardiogram.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 8.

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