Teaching system of 4D ultrasound angiography of uterus and fallopian tube based on 3D printing technology

Abstract

The present invention belongs to the field of medical technology. The present invention provides a 4-dimensional ultrasound angiography teaching system for the uterus and fallopian tube based on 3D printing technology, including: multiple teachers give corresponding diagnostic data according to monitoring videos, calculate the teacher's overall diagnostic error characterization value according to the comparison result of the diagnostic data given by the teacher and the actual diagnostic data, and judge the teacher's overall diagnostic error degree according to the teacher's overall diagnostic error characterization value. In the case that the teacher's overall diagnostic error degree is high, analyze the cause of the diagnostic error. If the cause of the diagnostic error is the deviation of the 3D printed model, the uterus and fallopian tube model is reprinted. If the cause of the diagnostic error is the teacher's diagnostic error, train the teacher who made the diagnostic error among all the teachers, and use the remaining teachers for teaching. The present invention analyzes the cause of the diagnostic error through the deviation of the printed model, and provides corresponding solutions according to the cause of the diagnostic error, thereby improving the teaching quality.

Description

Technical Field

[0001] The present invention belongs to the field of medical technology, and in particular to a 4-dimensional ultrasound angiography teaching system for uterus and fallopian tube based on 3D printing technology. Background Art

[0002] With the continuous development of medical technology, the diagnosis, treatment and teaching of uterine and fallopian tube diseases have become important topics in the medical field. Traditional uterine and fallopian tube teaching tools have problems such as low fidelity, complex operation, and poor data processing capabilities, which cannot meet the needs of modern medical teaching. Therefore, a 4D ultrasound angiography teaching system for uterine and fallopian tubes based on 3D printing technology is needed to solve these problems.

[0003] A Chinese patent application with publication number CN114203000A discloses a 4-dimensional ultrasound angiography teaching device for the uterus and fallopian tube based on 3D printing technology. Under the action of a driving motor and a first gear, the two second gears are engaged and driven to rotate, which drives the threaded rod to rotate. Under the action of a second slide groove and a slide plate, the threaded sleeve is adjusted to rise, so as to achieve movable adjustment of the height of four developing plates, thereby increasing the viewing comfort during teaching. Under the action of the first slide groove and the slide rod, the storage basket is driven to move, which is convenient for storing printed teaching products and is easy to take out and use.

[0004] In the above-mentioned prior art, the storage basket is moved only by the action of the first slide groove and the slide rod, so as to facilitate the storage of printed teaching products and facilitate their retrieval and use. However, in the above-mentioned prior art and the current prior art, the teaching quality is not improved by analyzing the 3D modeling and the degree of teacher diagnosis errors.

[0005] To this end, the present invention provides a 4-dimensional ultrasound angiography teaching system for uterus and fallopian tube based on 3D printing technology. Summary of the invention

[0006] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0007] The technical solution adopted by the present invention to solve the technical problem is: a 4-dimensional ultrasound angiography teaching system for uterus and fallopian tube based on 3D printing technology, comprising:

[0008] A diagnosis module, wherein the diagnosis module is used for multiple teachers to provide corresponding diagnosis data based on the monitoring video;

[0009] An analysis module, the analysis module is used to determine the overall diagnostic error degree of the teacher based on the comparison result of the diagnostic data given by the teacher and the actual diagnostic data;

[0010] If the corresponding diagnostic data given by the teacher is not completely consistent with or completely inconsistent with the sub-data in the actual diagnostic data, the teacher will be marked as a teacher with incorrect diagnosis;

[0011] Mark the sub-data in the diagnosis data of the teacher who diagnosed the error, which are inconsistent with the sub-data in the actual diagnosis data, as incorrect sub-data;

[0012] Count the number of all teachers who made diagnostic errors, and perform ratio processing on the number of all teachers who made diagnostic errors and the number of all teachers to obtain the data on the number of teachers who made diagnostic errors;

[0013] The number of erroneous sub-data in the diagnosis data of all teachers who made diagnosis errors is summed up to obtain the number of all erroneous sub-data, and the number of all erroneous sub-data is ratioed to the number of all sub-data to obtain the number of diagnosis errors;

[0014] The overall diagnostic error representation value of teachers is calculated based on the data of the number of people with diagnostic errors and the number of diagnostic errors, and the overall diagnostic error degree of teachers is judged according to the overall diagnostic error representation of teachers;

[0015] The error type analysis module is used to analyze the causes of diagnostic errors when the teacher's overall diagnostic error level is high.

[0016] As a further technical solution of the present invention, the system further comprises:

[0017] A 3D printing module, wherein the 3D printing module is used to print a uterine and fallopian tube model;

[0018] A contrast agent simulation module is used to inject contrast agent into the uterine tube model under the monitoring of a 4D ultrasound device;

[0019] A printing adjustment module, which is used to reprint the uterus and fallopian tube model in case of abnormal signals;

[0020] A teacher selection module is used to select a teacher when a normal signal is generated.

[0021] As a further technical solution of the present invention, the overall diagnostic error characterization value of teachers is calculated based on the data of the number of people with diagnostic errors and the data of the number of diagnostic errors. The specific calculation process is as follows:

[0022] S1, obtain the ratio of the number of teachers with diagnostic errors to the number of all teachers, marking it as gi;

[0023] S2, obtain the ratio of the number of all erroneous sub-data to the number of all sub-data, and mark it as fi;

[0024] S3, by formula: Get the overall diagnostic error characterization value tB, where S 1 and S2 All are preset proportional coefficients, and ln(gi+fi) is the logarithmic function of the base e.

[0025] As a further technical solution of the present invention, the overall diagnostic error degree of the teacher is determined according to the teacher's overall diagnostic error representation, and the specific process is as follows:

[0026] If the overall diagnostic error representation value ≥ the preset threshold, it means that the teacher’s overall diagnostic error level is high;

[0027] If the overall diagnostic error representation value is less than the preset threshold, it means that the teacher's overall diagnostic error level is low.

[0028] As a further technical solution of the present invention, when the teacher's overall diagnostic error level is high, analyzing the cause of the diagnostic error, including: detecting the deviation data of the uterine fallopian tube model, calculating the deviation parameters of the uterine fallopian tube model based on the deviation data of the uterine fallopian tube, comparing the deviation parameters of the uterine fallopian tube model with the deviation parameter threshold of the uterine fallopian tube model, judging the degree of deviation of the uterine fallopian tube model according to the comparison result, and generating a signal, the signal including an abnormal signal and a normal signal.

[0029] As a further technical solution of the present invention, the deviation data of the uterine and fallopian tube model is detected, wherein the deviation data of the uterine and fallopian tube model includes the contour deviation data of the uterine and fallopian tube model and the flatness deviation data of the fallopian tube in the uterine and fallopian tube model.

[0030] As a further technical solution of the present invention, the deviation parameters of the uterus and fallopian tube model are calculated based on the contour deviation data of the uterus and fallopian tube model and the flatness deviation data of the fallopian tube in the uterus and fallopian tube model. The specific calculation process is as follows:

[0031] Obtain the contour deviation data of the uterine fallopian tube model and mark it as xi;

[0032] Obtain the flatness deviation data of the fallopian tube in the uterus and fallopian tube model and mark it as FJ;

[0033] By formula: The deviation parameter JK of the uterus and fallopian tube model is obtained, wherein α and β are both preset proportional coefficients.

[0034] As a further technical solution of the present invention, the deviation parameter of the uterine fallopian tube model is compared with the deviation parameter threshold of the uterine fallopian tube model. The specific comparison process is as follows:

[0035] If the deviation parameter of the uterine fallopian tube model is ≥ the deviation parameter threshold of the uterine fallopian tube model, it means that the deviation of the uterine fallopian tube model is large, and the cause of the diagnostic error is the deviation of the 3D printed model, and an abnormal signal is generated;

[0036] If the deviation parameter of the uterine and fallopian tube model is less than the deviation parameter threshold of the uterine and fallopian tube model, it means that the deviation degree of the uterine and fallopian tube model is small, and the cause of the misdiagnosis is the teacher's own misdiagnosis, and a normal signal is generated.

[0037] As a further technical solution of the present invention, the process of obtaining the contour deviation data of the uterine fallopian tube model is:

[0038] The volume of the uterus and the diameter of the fallopian tube are obtained based on the model printing data;

[0039] The volume of the uterus and the diameter of the fallopian tube in the model obtained from the printed uterus and fallopian tube model are processed with corresponding ratios, and the ratio of the volume of the uterus to the volume of the uterus in the model, and the ratio of the diameter of the fallopian tube to the diameter of the fallopian tube in the model are obtained. The ratio of the volume of the uterus to the volume of the uterus in the model, and the ratio of the diameter of the fallopian tube to the diameter of the fallopian tube in the model are processed with the numerical values, respectively, and the obtained differences are summed to obtain the contour deviation data of the uterus and fallopian tube model.

[0040] As a further technical solution of the present invention, the process of obtaining the flatness deviation data of the fallopian tube in the uterine fallopian tube model is as follows:

[0041] Based on the printed uterine fallopian tube model, the number of concave regions and the total area of ​​the concave regions of the fallopian tube in the model are detected, and the total area of ​​the concave regions is the sum of the areas of all the concave regions;

[0042] Based on the magnetic resonance image corresponding to the uterine fallopian tube model print data in the teaching software, the number of concave regions and the total area of ​​the concave regions of the fallopian tube in the image are detected;

[0043] It should be noted that the teaching software stores the MRI images corresponding to the uterine and fallopian tube model print data, and each MRI image can reflect the specific situation of a uterine and fallopian tube;

[0044] The number of concave areas of the fallopian tube in the model and the total area of ​​the concave areas are multiplied to obtain a flatness representation value of the fallopian tube in the model, which is marked as GH;

[0045] The number of concave regions of the fallopian tube in the image and the total area of ​​the concave regions are multiplied to obtain a flatness representation value of the fallopian tube in the image, and the value is marked as GF;

[0046] The flatness characterization value of the fallopian tube in the model and the flatness characterization value of the fallopian tube in the image are ratio processed, and the difference between the ratio and the value is calculated to obtain the flatness deviation data of the fallopian tube in the uterine fallopian tube model, and it is marked as FJ, where:

[0047] The beneficial effects of the present invention are as follows:

[0048] 1. The hysterosalpingography teaching system based on 3D printing technology described in the present invention prints a hysterosalpingography model, and under the monitoring of a 4D ultrasound device, injects a contrast agent into the hysterosalpingography model. Multiple teachers give corresponding diagnostic data based on the monitoring video, and the overall diagnostic error degree of the teachers is judged based on the comparison results between the diagnostic data given by the teachers and the actual diagnostic data. When the overall diagnostic error degree of the teachers is high, the causes of the diagnostic errors are analyzed, and corresponding solutions are provided according to the causes of the diagnostic errors, thereby improving the teaching quality.

[0049] 2. The hysterosalpingography teaching system based on 3D printing technology described in the present invention analyzes the causes of diagnostic errors when the overall diagnostic error rate of teachers is high. The causes of diagnostic errors include deviations in the 3D printing model and teachers' own diagnostic errors. By analyzing the causes of diagnostic errors, not only the professional ability of teachers is improved, but also the teaching methods and 3D printing model technology are continuously optimized. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The present invention will be further described below in conjunction with the accompanying drawings.

[0051] Figure 1 It is a system module diagram of the uterine fallopian tube 4-dimensional ultrasound angiography teaching system based on 3D printing technology of the present invention;

[0052] Figure 2 It is a flow chart of the steps for obtaining the data of the number of misdiagnoses and the number of misdiagnoses in the 4-dimensional ultrasound angiography teaching system for the uterus and fallopian tube based on the 3D printing technology of the present invention;

[0053] Figure 3 This is a flow chart for analyzing causes of diagnostic errors in the uterine fallopian tube 4-dimensional ultrasound angiography teaching system based on 3D printing technology of the present invention. DETAILED DESCRIPTION

[0054] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0055] like Figure 1 As shown, the 4-dimensional ultrasound angiography teaching system for uterus and fallopian tube based on 3D printing technology according to an embodiment of the present invention comprises:

[0056] The 3D printing module is used to print the uterine fallopian tube model using a 3D printer according to the model printing data provided by the teaching software;

[0057] The model printing data includes the volume of the uterus and the diameter of the fallopian tube;

[0058] It should be noted that the model is printed from plastic, resin or metal materials;

[0059] The contrast simulation module is used to inject contrast agent into the printed uterine and fallopian tube model under the monitoring of a 4D ultrasound device;

[0060] The diagnosis module is used for multiple teachers to give corresponding diagnosis data based on the monitoring video of the 4D ultrasound equipment. The diagnosis data includes the average blood flow rate, blood distribution area, blood patency and the type of disease in the uterus and fallopian tubes, among which the average blood flow rate, blood distribution area, blood patency and the type of disease belong to the sub-data in the diagnosis data;

[0061] The analysis module is used to compare the actual diagnosis data of the uterus and fallopian tubes recorded in the teaching software with the diagnosis data of multiple teachers, obtain the diagnosis error data, and calculate the overall diagnosis error characterization value of the teacher based on the comparison data, compare the overall diagnosis error characterization value with the preset threshold value, and judge the overall diagnosis error degree of the teacher;

[0062] Among them, the diagnostic error data includes the number of people with diagnostic errors and the number of diagnostic errors;

[0063] Data on the number of diagnostic errors are expressed as the ratio of the number of all teachers who made diagnostic errors to the number of all teachers;

[0064] The data on the number of diagnostic errors are expressed as the ratio of the number of all error sub-data to the number of all sub-data;

[0065] like Figure 2 As shown, the specific process of obtaining the data on the number of misdiagnosed persons and the number of misdiagnosed persons is as follows:

[0066] If the corresponding diagnostic data given by the teacher is not completely consistent with or completely inconsistent with the sub-data in the actual diagnostic data, the teacher will be marked as a teacher with incorrect diagnosis;

[0067] Mark the sub-data in the diagnosis data of the teacher who diagnosed the error, which are inconsistent with the sub-data in the actual diagnosis data, as incorrect sub-data;

[0068] Count the number of all teachers who made diagnostic errors, and perform ratio processing on the number of all teachers who made diagnostic errors and the number of all teachers to obtain the ratio of the number of all teachers who made diagnostic errors to the number of all teachers;

[0069] The number of erroneous sub-data in the diagnostic data of all teachers who diagnosed errors is summed up to obtain the number of all erroneous sub-data, and the number of all erroneous sub-data is ratio-processed to the number of all sub-data to obtain the ratio of the number of all erroneous sub-data to the number of all sub-data;

[0070] The specific calculation process is as follows:

[0071] S1, obtain the ratio of the number of teachers with diagnostic errors to the number of all teachers, marking it as gi;

[0072] S2, obtain the ratio of the number of all erroneous sub-data to the number of all sub-data, and mark it as fi;

[0073] S3, by formula: Get the overall diagnostic error characterization value tB, where S 1 and S 2 All are preset proportional coefficients, ln(gi+fi) is the logarithmic function of the base e;

[0074] The overall diagnostic error characterization value is compared with the preset threshold. The specific comparison process is as follows:

[0075] If the overall diagnostic error representation value ≥ the preset threshold, it means that the teacher’s overall diagnostic error level is high;

[0076] If the overall diagnostic error representation value is less than the preset threshold, it means that the teacher’s overall diagnostic error level is low;

[0077] The error type analysis module is used to analyze the causes of diagnostic errors when the overall diagnostic error level of teachers is high;

[0078] like Figure 3 The specific analysis process is as follows:

[0079] Detecting deviation data of the uterine fallopian tube model, calculating deviation parameters of the uterine fallopian tube model based on the deviation data of the uterine fallopian tube, comparing the deviation parameters of the uterine fallopian tube model with a deviation parameter threshold of the uterine fallopian tube model, judging the degree of deviation of the uterine fallopian tube model according to the comparison result, and generating signals, wherein the signals include abnormal signals and normal signals;

[0080] Specifically, the deviation data of the uterus and fallopian tube model includes the contour deviation data of the uterus and fallopian tube model and the flatness deviation data of the fallopian tube in the uterus and fallopian tube model;

[0081] The process of obtaining the contour deviation data of the uterine fallopian tube model is as follows:

[0082] The volume of the uterus and the diameter of the fallopian tube are obtained based on the model printing data;

[0083] Performing corresponding ratio processing on the volume of the uterus and the diameter of the fallopian tube in the model obtained from the printed uterus and fallopian tube model and the volume of the uterus and the diameter of the fallopian tube in the model printing data to obtain the ratio of the volume of the uterus to the volume of the uterus in the model, and the ratio of the diameter of the fallopian tube to the diameter of the fallopian tube in the model, respectively performing difference processing on the ratio of the volume of the uterus to the volume of the uterus in the model, and the ratio of the diameter of the fallopian tube to the diameter of the fallopian tube in the model and the numerical values, and summing the obtained differences to obtain the contour deviation data of the uterus and fallopian tube model, and marking it as xi;

[0084] The process of obtaining the flatness deviation data of the fallopian tube in the uterine fallopian tube model is as follows:

[0085] Based on the printed uterine fallopian tube model, the number of concave regions and the total area of ​​the concave regions of the fallopian tube in the model are detected, and the total area of ​​the concave regions is the sum of the areas of all the concave regions;

[0086] Based on the magnetic resonance image corresponding to the uterine fallopian tube model print data in the teaching software, the number of concave regions and the total area of ​​the concave regions of the fallopian tube in the image are detected;

[0087] It should be noted that the teaching software stores the MRI images corresponding to the uterine and fallopian tube model print data, and each MRI image can reflect the specific situation of a uterine and fallopian tube;

[0088] The number of concave areas of the fallopian tube in the model and the total area of ​​the concave areas are multiplied to obtain a flatness representation value of the fallopian tube in the model, which is marked as GH;

[0089] The number of concave regions of the fallopian tube in the image and the total area of ​​the concave regions are multiplied to obtain a flatness representation value of the fallopian tube in the image, and the value is marked as GF;

[0090] The flatness characterization value of the fallopian tube in the model and the flatness characterization value of the fallopian tube in the image are ratio processed, and the difference between the ratio and the value is calculated to obtain the flatness deviation data of the fallopian tube in the uterine fallopian tube model, and it is marked as FJ, where:

[0091] The deviation parameters of the uterine and fallopian tube model are calculated based on the deviation data of the uterine and fallopian tube model, specifically: by the formula: Obtaining the deviation parameter JK of the uterine fallopian tube model, wherein α and β are both preset proportional coefficients;

[0092] The deviation parameter of the uterine fallopian tube model is compared with the deviation parameter threshold of the uterine fallopian tube model. The specific comparison process is as follows:

[0093] If the deviation parameter of the uterine fallopian tube model is ≥ the deviation parameter threshold of the uterine fallopian tube model, it means that the deviation of the uterine fallopian tube model is large, and the cause of the diagnostic error is the deviation of the 3D printed model, and an abnormal signal is generated;

[0094] If the deviation parameter of the uterus and fallopian tube model is less than the deviation parameter threshold of the uterus and fallopian tube model, it means that the deviation degree of the uterus and fallopian tube model is small, and the cause of the misdiagnosis is the teacher's own misdiagnosis, and a normal signal is generated;

[0095] The printing adjustment module is used to reprint the uterine fallopian tube model in the case of generating an abnormal signal until the deviation of the printed model is small;

[0096] The teacher selection module is used to train the teachers with diagnosis errors among all teachers when generating normal signals, and select the remaining teachers for teaching.

[0097] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. The 4D ultrasound angiography teaching system for uterus and fallopian tube based on 3D printing technology is characterized by: include: A diagnosis module, wherein the diagnosis module is used for multiple teachers to provide corresponding diagnosis data based on the monitoring video; An analysis module, the analysis module is used to determine the overall diagnostic error degree of the teacher based on the comparison result of the diagnostic data given by the teacher and the actual diagnostic data; If the corresponding diagnostic data given by the teacher is not completely consistent with or completely inconsistent with the sub-data in the actual diagnostic data, the teacher will be marked as a teacher with incorrect diagnosis; Mark the sub-data in the diagnosis data of the teacher who diagnosed the error, which are inconsistent with the sub-data in the actual diagnosis data, as incorrect sub-data; Count the number of all teachers who made diagnostic errors, and perform ratio processing on the number of all teachers who made diagnostic errors and the number of all teachers to obtain the data on the number of teachers who made diagnostic errors; The number of erroneous sub-data in the diagnosis data of all teachers who made diagnosis errors is summed up to obtain the number of all erroneous sub-data, and the number of all erroneous sub-data is ratioed to the number of all sub-data to obtain the number of diagnosis errors; The overall diagnostic error representation value of teachers is calculated based on the data of the number of people with diagnostic errors and the number of diagnostic errors, and the overall diagnostic error degree of teachers is judged according to the overall diagnostic error representation of teachers; The error type analysis module is used to analyze the causes of diagnostic errors when the teacher's overall diagnostic error level is high.

2. The 4-dimensional ultrasound angiography teaching system for uterus and fallopian tube based on 3D printing technology according to claim 1 is characterized by: The system also includes: A 3D printing module, wherein the 3D printing module is used to print a uterine and fallopian tube model; A contrast agent simulation module is used to inject contrast agent into the uterine tube model under the monitoring of a 4D ultrasound device; A printing adjustment module, which is used to reprint the uterus and fallopian tube model in case of abnormal signals; A teacher selection module is used to select a teacher when a normal signal is generated.

3. The 4-dimensional ultrasound angiography teaching system for uterus and fallopian tube based on 3D printing technology according to claim 1 is characterized by: The overall diagnostic error characterization value of teachers is calculated based on the data of the number of people with diagnostic errors and the data of the number of diagnostic errors. The specific calculation process is as follows: S1, obtain the ratio of the number of teachers with diagnostic errors to the number of all teachers, marking it as gi; S2, obtain the ratio of the number of all erroneous sub-data to the number of all sub-data, and mark it as fi; S3, by formula: The overall diagnostic error characterization value tB is obtained, wherein S1 and S2 are both preset proportional coefficients, and ln(gi+fi) is a logarithmic function of the base e.

4. The 4-dimensional ultrasound angiography teaching system for uterus and fallopian tube based on 3D printing technology according to claim 3 is characterized by: The degree of the teacher's overall diagnostic error is determined based on the teacher's overall diagnostic error representation. The specific process is as follows: If the overall diagnostic error representation value ≥ the preset threshold, it means that the teacher’s overall diagnostic error level is high; If the overall diagnostic error representation value is less than the preset threshold, it means that the teacher's overall diagnostic error level is low.

5. The 4-dimensional ultrasound angiography teaching system for uterus and fallopian tube based on 3D printing technology according to claim 1, characterized in that: In the case where the teacher's overall diagnostic error level is high, the causes of the diagnostic errors are analyzed, including: detecting the deviation data of the uterine fallopian tube model, calculating the deviation parameters of the uterine fallopian tube model based on the deviation data of the uterine fallopian tube, comparing the deviation parameters of the uterine fallopian tube model with the deviation parameter threshold of the uterine fallopian tube model, judging the degree of deviation of the uterine fallopian tube model according to the comparison result, and generating signals, which include abnormal signals and normal signals.

6. The 4-dimensional ultrasound angiography teaching system for uterus and fallopian tube based on 3D printing technology according to claim 5 is characterized by: The deviation data of the uterine fallopian tube model is detected, wherein the deviation data of the uterine fallopian tube model includes the contour deviation data of the uterine fallopian tube model and the flatness deviation data of the fallopian tube in the uterine fallopian tube model.

7. The 4-dimensional ultrasound angiography teaching system for uterus and fallopian tube based on 3D printing technology according to claim 6 is characterized by: The deviation parameters of the uterine fallopian tube model are calculated based on the contour deviation data of the uterine fallopian tube model and the flatness deviation data of the fallopian tube in the uterine fallopian tube model. The specific calculation process is as follows: Obtain the contour deviation data of the uterine fallopian tube model and mark it as xi; Obtain the flatness deviation data of the fallopian tube in the uterus and fallopian tube model and mark it as FJ; By formula: The deviation parameter JK of the uterus and fallopian tube model is obtained, wherein α and β are both preset proportional coefficients.

8. The 4-dimensional ultrasound angiography teaching system for uterus and fallopian tube based on 3D printing technology according to claim 7 is characterized by: The deviation parameter of the uterine fallopian tube model is compared with the deviation parameter threshold of the uterine fallopian tube model. The specific comparison process is as follows: If the deviation parameter of the uterine fallopian tube model is ≥ the deviation parameter threshold of the uterine fallopian tube model, it means that the deviation of the uterine fallopian tube model is large, and the cause of the diagnostic error is the deviation of the 3D printed model, and an abnormal signal is generated; If the deviation parameter of the uterine and fallopian tube model is less than the deviation parameter threshold of the uterine and fallopian tube model, it means that the deviation degree of the uterine and fallopian tube model is small, and the cause of the misdiagnosis is the teacher's own misdiagnosis, and a normal signal is generated.

9. The 4-dimensional ultrasound angiography teaching system for uterus and fallopian tube based on 3D printing technology according to claim 6, characterized in that: The process of obtaining the contour deviation data of the uterine fallopian tube model is as follows: The volume of the uterus and the diameter of the fallopian tube are obtained based on the model printing data; The volume of the uterus and the diameter of the fallopian tube in the model obtained from the printed uterus and fallopian tube model are processed with corresponding ratios, and the ratio of the volume of the uterus to the volume of the uterus in the model, and the ratio of the diameter of the fallopian tube to the diameter of the fallopian tube in the model are obtained. The ratio of the volume of the uterus to the volume of the uterus in the model, and the ratio of the diameter of the fallopian tube to the diameter of the fallopian tube in the model are processed with the numerical values, respectively, and the obtained differences are summed to obtain the contour deviation data of the uterus and fallopian tube model.

10. The 4-dimensional ultrasound angiography teaching system method for uterine fallopian tube based on 3D printing technology according to claim 6, characterized in that: The process of obtaining the flatness deviation data of the fallopian tube in the uterine fallopian tube model is as follows: Based on the printed uterine fallopian tube model, the number of concave regions and the total area of ​​the concave regions of the fallopian tube in the model are detected, and the total area of ​​the concave regions is the sum of the areas of all the concave regions; Based on the magnetic resonance image corresponding to the uterine fallopian tube model print data in the teaching software, the number of concave regions and the total area of ​​the concave regions of the fallopian tube in the image are detected; It should be noted that the teaching software stores the MRI images corresponding to the uterine and fallopian tube model print data, and each MRI image can reflect the specific situation of a uterine and fallopian tube; The number of concave areas of the fallopian tube in the model and the total area of ​​the concave areas are multiplied to obtain a flatness representation value of the fallopian tube in the model, which is marked as GH; The number of concave regions of the fallopian tube in the image and the total area of ​​the concave regions are multiplied to obtain a flatness representation value of the fallopian tube in the image, and the value is marked as GF; The flatness characterization value of the fallopian tube in the model and the flatness characterization value of the fallopian tube in the image are ratio processed, and the difference between the ratio and the value is calculated to obtain the flatness deviation data of the fallopian tube in the uterine fallopian tube model, and it is marked as FJ, where:

Images