Ultrasonic section processing method, device, equipment and medium

Abstract

The invention discloses an ultrasonic section processing method, device and equipment and a medium, and relates to the technical field of ultrasound, and the method comprises the following steps: identifying at least one target tissue structure contained in a current ultrasonic section; determining an evaluation result of the at least one target organization structure by utilizing an evaluation rule corresponding to the organization type of the target organization structure; an evaluation object of the evaluation rule comprises scale information of a maximum enclosing rectangle of a target organization structure of a first organization type, and / or size information of a target organization structure of a second organization type; and determining a section score value of the current ultrasonic section based on an evaluation result of each target tissue structure, and determining whether to perform preset target operation on the current ultrasonic section based on the section score value. According to the method, the positioning accuracy of the target tissue structure in the ultrasonic section and the accuracy of the evaluation result are improved.

Description

Technical Field

[0001] The present invention relates to the field of ultrasonic technology, and in particular to an ultrasonic section processing method, device, equipment and medium. Background Art

[0002] Ultrasound examinations often involve numerous ultrasound sections. For example, obstetric ultrasound examinations include three levels of screening, covering multiple fetal areas. These sections must be evaluated during the examination to identify standard sections. Related technologies automatically capture standard fetal sections based on real-time imaging provided by the physician. This evaluation primarily relies on the image features of the ultrasound sections, resulting in inaccurate results.

[0003] Therefore, the above problems need to be solved by those skilled in the art. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide an ultrasonic section processing method, device, equipment and medium that can improve the accuracy of tissue structure positioning and evaluation results in ultrasonic sections, and realize accurate evaluation of ultrasonic sections. The specific scheme is as follows:

[0005] In a first aspect, the present application discloses an ultrasonic section processing method, comprising:

[0006] identifying at least one target tissue structure contained in the current ultrasound section;

[0007] Determining an evaluation result of the at least one target tissue structure using an evaluation rule corresponding to the tissue type of the target tissue structure; wherein the evaluation rule includes: scale information of a maximum bounding rectangle of a target tissue structure of a first tissue type, and / or size information of a target tissue structure of a second tissue type;

[0008] A section score value of the current ultrasound section is determined based on the evaluation results of each target tissue structure, and whether a preset target operation is performed on the current ultrasound section is determined based on the section score value.

[0009] Optionally, if a target organizational structure of the first organizational type exists among the at least one target organizational structure, determining the evaluation result of the at least one target organizational structure by using an evaluation rule corresponding to the organizational type of the target organizational structure includes:

[0010] determining a preset aspect ratio range corresponding to a tissue structure of a first tissue type;

[0011] Acquire a target maximum circumscribed rectangle of a target tissue structure of the first tissue type in a current ultrasound section, and determine a length-to-width ratio of the target maximum circumscribed rectangle;

[0012] An evaluation result of the target tissue structure of the first tissue type is determined by comparing the aspect ratio of the target maximum circumscribed rectangle with the preset aspect ratio range.

[0013] Optionally, if a target organizational structure of the second organizational type exists among the at least one target organizational structure, determining the evaluation result of the at least one target organizational structure by using an evaluation rule corresponding to the organizational type of the target organizational structure includes:

[0014] determining a preset area ratio range corresponding to a tissue structure of a second tissue type;

[0015] Determine the target part structure corresponding to the current ultrasonic section; the target part structure is the overall structure composed of all tissues of the detected object in the current ultrasonic section;

[0016] Acquire the area size of a first region of the target tissue structure of the second tissue type and the area size of a second region corresponding to the target site structure in the current ultrasound section, and determine an area ratio between the area size of the first region and the area size of the second region;

[0017] By comparing the area ratio with the preset area ratio range, an evaluation result of the target tissue structure of the second tissue type is determined.

[0018] Optionally, determining the evaluation result of the target tissue structure of the second tissue type by comparing the area ratio with the preset area ratio range includes:

[0019] determining a continuity state of a boundary contour of a target tissue structure of the second tissue type;

[0020] An evaluation result of the target tissue structure of the second tissue type is determined based on a comparison result of the area ratio and the preset area ratio range and a continuity state of the boundary contour.

[0021] Optionally, identifying at least one target tissue structure included in the current ultrasound section includes:

[0022] Identifying at least one target tissue structure contained in the current ultrasound section using a preset image segmentation model, and outputting a target score corresponding to the target tissue structure; wherein the target score is used to characterize the integrity of the target tissue structure;

[0023] Accordingly, determining the section score value of the current ultrasound section based on the evaluation results of each target tissue structure includes:

[0024] determining a weight of each target organizational structure based on an evaluation result of each target organizational structure and a preset importance of each target organizational structure;

[0025] The section score value of the current ultrasound section is determined according to the weight of each target tissue structure and the target score corresponding to the target tissue structure.

[0026] Optionally, the ultrasonic section processing method further includes:

[0027] Capturing the current ultrasonic section and obtaining structural annotation information of the current ultrasonic section, and then saving the current ultrasonic section and the structural annotation information into a preset cache;

[0028] Accordingly, the ultrasonic section processing method further includes:

[0029] If an ultrasound section playback instruction is obtained, the target ultrasound section and the structural annotation information of the target ultrasound section corresponding to the playback parameters in the ultrasound section playback instruction are retrieved from the preset cache;

[0030] Displaying the target ultrasound section and corresponding structure annotation information on the current ultrasound display interface;

[0031] The structure annotation information includes the size information of the target tissue structure and / or the maximum bounding rectangle of the target tissue structure and corresponding scale information; the playback parameters include the playback time period and / or the playback section identifier.

[0032] Optionally, the ultrasonic section processing method further includes:

[0033] If the ultrasound section playback instruction is not obtained, the structure annotation information is prohibited from being displayed on the current ultrasound display interface.

[0034] Optionally, the ultrasonic section processing method further includes:

[0035] Obtaining and saving different section selection criteria configured by different operators; the section selection criteria include structure selection criteria corresponding to each target tissue structure on the ultrasound section;

[0036] Accordingly, determining whether to perform a preset target operation on the current ultrasound section based on the section score value includes:

[0037] Determining a section selection standard corresponding to the current operator from the different section selection standards;

[0038] Whether to perform a detection or replacement operation on the current ultrasound section is determined based on the section score value and the section selection standard corresponding to the current operator.

[0039] Optionally, the section selection criteria include basic section selection criteria and advanced section selection criteria; wherein the advanced section selection criteria need to meet more structural selection criteria than the basic section selection criteria need to meet.

[0040] In a second aspect, the present application discloses an ultrasonic section treatment device, comprising:

[0041] an identification module, configured to identify at least one target tissue structure contained in a current ultrasound section;

[0042] an evaluation module, configured to determine an evaluation result of the at least one target tissue structure using an evaluation rule corresponding to the tissue type of the target tissue structure; wherein the evaluation rule includes: scale information of a maximum circumscribed rectangle of a target tissue structure of a first tissue type, and / or size information of a target tissue structure of a second tissue type;

[0043] An operation module is used to determine a section score value of the current ultrasound section based on the evaluation results of each target tissue structure, and determine whether to perform a preset target operation on the current ultrasound section based on the section score value.

[0044] In a third aspect, the present application discloses an electronic device, comprising:

[0045] Memory, used to store computer programs;

[0046] The processor is used to execute the computer program to implement the ultrasonic section processing method disclosed above.

[0047] In a fourth aspect, the present application discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the ultrasonic section processing method disclosed above is implemented.

[0048] It can be seen that the present application proposes an ultrasonic section processing method, including: identifying at least one target tissue structure contained in the current ultrasonic section; determining the evaluation result of the at least one target tissue structure using an evaluation rule corresponding to the tissue type of the target tissue structure; the evaluation object of the evaluation rule includes: the scale information of the maximum circumscribed rectangle of the target tissue structure of the first tissue type, and / or, the size information of the target tissue structure of the second tissue type; determining the section score value of the current ultrasonic section based on the evaluation results of each of the target tissue structures, and determining whether to perform a preset target operation on the current ultrasonic section based on the section score value.

[0049] In summary, the present application evaluates the target tissue structure after identifying the target tissue structure. Moreover, when performing the evaluation, different tissue types are evaluated according to different evaluation objects, that is, the evaluation result of the target tissue structure is determined based on the tissue type, morphological information and size information of the target tissue structure, thereby improving the accuracy of the evaluation of the tissue structure in the ultrasonic section, improving the accuracy of the ultrasonic section evaluation results and the accuracy of the ultrasonic scanning, and realizing accurate evaluation of the ultrasonic section. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0051] Figure 1 This is a flow chart of an ultrasonic section processing method disclosed in an embodiment of the present application;

[0052] Figure 2 This is a schematic diagram of an upper abdominal ultrasound section disclosed in an embodiment of the present application;

[0053] Figure 3 This is a flow chart of the first specific ultrasonic section processing method disclosed in the embodiments of this application;

[0054] Figure 4 This is a flow chart of a second specific ultrasonic section processing method disclosed in an embodiment of the present application;

[0055] Figure 5 This is a flow chart of the third specific ultrasonic section processing method disclosed in the embodiments of this application;

[0056] Figure 6 A flowchart for formulating inclusion criteria disclosed in an embodiment of the present application;

[0057] Figure 7 This is a flow chart of the fourth specific ultrasonic section processing method disclosed in the embodiments of this application;

[0058] Figure 8 This is a schematic structural diagram of an ultrasonic section processing device disclosed in an embodiment of the present application;

[0059] Figure 9 This is a structural diagram of an electronic device disclosed in an embodiment of the present application. DETAILED DESCRIPTION

[0060] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0061] In related technologies, standard fetal sections are automatically captured based on real-time imaging provided by doctors. These sections are primarily evaluated based on ultrasound image features, resulting in inaccurate results.

[0062] To this end, an embodiment of the present application proposes an ultrasonic section processing solution, which can improve the accuracy of the positioning of the target tissue structure in the ultrasonic section and the accuracy of the evaluation results, and improve the accuracy of the ultrasonic section evaluation.

[0063] The present application discloses an ultrasonic section processing method, which can be applied to electronic devices such as ultrasonic equipment. Figure 1 As shown, the method includes:

[0064] Step S11: Identify at least one target tissue structure included in the current ultrasound section.

[0065] In this embodiment, the operator selects the diagnostic model to be entered on the ultrasound device based on the patient's diagnosis, such as the obstetrics AI (Artificial Intelligence) function or the cardiology AI function. For example, using the obstetrics AI function, the operator uses the ultrasound device's convex array / volume probe to scan the fetus in the pregnant woman's abdomen and obtain a specific ultrasound section at the current moment, namely the current ultrasound section.

[0066] It is understandable that different ultrasound sections contain different types of target tissue structures. The tissue structure can be a tissue organ, a lesion tissue, etc. in the object being tested. The object being tested can be a human body, an animal body, etc., specifically a fetus in a pregnant woman. Different target tissue structures have different contour information. For example, the upper abdominal section can be used as an example. Figure 2 As shown, the upper abdominal section includes three target tissue structures: the umbilical vein, the spine, and the gastric bubble. When scanning the upper abdominal section, this embodiment can obtain the contour information of the upper abdominal section itself and the contour information of the three target tissue structures included in the upper abdominal section.

[0067] Step S12: Determine an evaluation result for at least one target tissue structure using an evaluation rule corresponding to the tissue type of the target tissue structure. The evaluation rule includes: the dimensions of the maximum bounding rectangle of the target tissue structure of the first tissue type, and / or the size information of the target tissue structure of the second tissue type. The evaluation result for the target tissue structure can be the clarity or standardness of the corresponding target tissue structure on the current ultrasound section, and can be represented by a specific numerical value or different levels. For example, clarity can be represented by 1, 2, and 3, respectively, indicating unclear, clear, and very clear.

[0068] In the related art, the section quality control method of identifying the rectangular region of interest (RoI) of a small structure may cause incorrect identification of the rectangular region of interest when encountering a situation where there is a lot of noise or sound shadows around the small structure, or when the overall image style is inconsistent, or when the morphology of the tissue organ changes greatly or is missing, resulting in inaccurate section evaluation results. In this embodiment, the maximum bounding rectangle of each target tissue structure is determined based on the contour information of each target tissue structure, and the positioning of each target tissue structure is further achieved based on the contour information and the maximum bounding rectangle of each target tissue structure. Compared with directly positioning the target tissue structure based on the bounding rectangle of the target tissue structure, the present application improves the accuracy of positioning the target tissue structure by means of contour information and the maximum bounding rectangle.

[0069] Furthermore, this embodiment constructs an evaluation rule corresponding to the organizational type of the target organizational structure, and determines an evaluation result of at least one target organizational structure using the evaluation rule corresponding to the organizational type of the target organizational structure.

[0070] In a specific embodiment, if there is a target tissue structure of the first tissue type in at least one target tissue structure, the evaluation result of the at least one target tissue structure is determined using the evaluation rules corresponding to the tissue type of the target tissue structure: determining a preset aspect ratio range corresponding to the tissue structure of the first tissue type; obtaining the target maximum circumscribed rectangle of the target tissue structure of the first tissue type in the current ultrasound section, and determining the aspect ratio value of the target maximum circumscribed rectangle; and determining the evaluation result of the target tissue structure of the first tissue type by comparing the aspect ratio value of the target maximum circumscribed rectangle with the preset aspect ratio range.

[0071] Exemplarily, the tissue structure of the first tissue type can be a tortuous, penetrating tissue such as a blood vessel, which is close to an arc-shaped structure in a cross-section. Specifically, the tissue structure of the first tissue type includes, but is not limited to, the umbilical vein. Taking the umbilical vein as an example, the maximum circumscribed rectangle of the umbilical vein is first obtained, and a preset aspect ratio range of the maximum circumscribed rectangle of the umbilical vein is set based on historical clinical diagnosis results. For example, under normal circumstances, the aspect ratio range of the umbilical vein of most fetuses is within the range of 0.8-1.2, so the preset aspect ratio range of the maximum circumscribed rectangle of the umbilical vein is set to 0.8-1.2. Furthermore, the evaluation result of the umbilical vein is determined by comparing the actual aspect ratio value of the maximum circumscribed rectangle of the umbilical vein with the preset aspect ratio value. For example, if the actual aspect ratio value of the umbilical vein is 1, the evaluation result of the umbilical vein is determined as the umbilical vein structure is intact, which is also clinically known as a clear umbilical vein.

[0072] In a specific embodiment, if there is a target tissue structure of a second tissue type in at least one target tissue structure, an evaluation result of at least one target tissue structure is determined using an evaluation rule corresponding to the tissue type of the target tissue structure, including: determining a preset area ratio range corresponding to the tissue structure of the second tissue type; determining the target part structure corresponding to the current ultrasonic section; the target part structure is the overall structure composed of all tissues of the detected object in the current ultrasonic section; obtaining the first regional area size of the target tissue structure of the second tissue type in the current ultrasonic section and the second regional area size corresponding to the target part structure, and determining the area ratio between the first regional area size and the second regional area size; determining the evaluation result of the target tissue structure of the second tissue type by comparing the area ratio with the preset area ratio range. Wherein, the regional area size can be the actual area size of the area occupied by the corresponding tissue structure, or it can be the rectangular area corresponding to the largest circumscribed rectangle of the corresponding tissue structure. The embodiment of the present application does not limit the method for determining the area, and it is sufficient to ensure that the determination method corresponding to the two compared areas is the same.

[0073] Exemplarily, the tissue structure of the second tissue type can be an independent or linear tissue structure, including but not limited to the gastric bubble, heart, uterus, spine, etc., which are close to a circular structure in a cross-section. For example, the target site structure is the upper abdominal region. Taking the gastric bubble as an example, the preset area ratio range of the gastric bubble is first set based on historical clinical diagnosis results, and the area of the first region of the gastric bubble and the area of the second region of the upper abdominal region are determined. Then, the area ratio of the first region to the second region is determined. That is, the area ratio of the gastric bubble is the ratio of the area occupied by the gastric bubble to the area occupied by the upper abdomen. Further, the area ratio is compared with the preset area ratio range of the gastric bubble to determine the gastric bubble assessment result. For example, if the area ratio of the gastric bubble is within the preset area ratio range, the gastric bubble assessment result is determined as an intact gastric bubble structure, which is also clinically referred to as a clear gastric bubble.

[0074] Exemplarily, by comparing the area ratio and the preset area ratio range, the evaluation result of the target tissue structure of the second tissue type is determined, including: determining the boundary contour continuity state of the target tissue structure of the second tissue type; combining the comparison result of the area ratio and the preset area ratio range and the boundary contour continuity state to determine the evaluation result of the target tissue structure of the second tissue type.

[0075] Among them, when the area ratio is within the preset area ratio range and the boundary contour is continuous, the evaluation result of the target tissue structure of the second tissue type is determined to be very clear; when the area ratio is within the preset area ratio range and the boundary contour is discontinuous, or when the area ratio is not within the preset area ratio range and the boundary contour is continuous, the evaluation result of the target tissue structure of the second tissue type is determined to be clear; when the area ratio is not within the preset area ratio range and the boundary contour is discontinuous, the evaluation result of the target tissue structure of the second tissue type is determined to be unclear.

[0076] Specifically, considering that the gastric bubble of some people may be different in size from that of ordinary people, this embodiment can also combine the continuity of the gastric bubble boundary contour when determining the gastric bubble evaluation result to achieve the gastric bubble evaluation. For example, if the gastric bubble boundary contour is discontinuous, the gastric bubble is considered unclear.

[0077] Furthermore, in addition to considering the integrity of the target tissue structure, this embodiment can also focus on the clarity of the ultrasound image itself corresponding to each target tissue structure. That is, in addition to focusing on the clarity (integrity) of the target tissue structure considered clinically, this embodiment can also focus on the clarity of the ultrasound image, because there may be a situation where the target tissue structure is complete but the image is not clear, resulting in inaccurate evaluation results. Therefore, in some embodiments, the clarity of the ultrasound image can be calculated based on the Brenner gradient method, Tenegrad gradient method, Laplace gradient method, variance method and energy gradient method. When the clarity of the ultrasound image meets a certain clarity threshold and the target tissue structure is complete, the corresponding target tissue structure is considered to be clinically clear. For example, the boundary contour of the target tissue structure can be processed based on the Brenner gradient method, Tenegrad gradient method, Laplace gradient method, variance method and energy gradient method to obtain a continuous state of the boundary contour, and then determine the clarity of the target tissue structure.

[0078] Step S13: determining a section score value of the current ultrasound section based on the evaluation results of each target tissue structure, and determining whether to perform a preset target operation on the current ultrasound section based on the section score value.

[0079] In this embodiment, a section score value of the current ultrasound section is determined based on the evaluation results of each target tissue structure, specifically including: identifying at least one target tissue structure contained in the current ultrasound section through a preset image segmentation model, and outputting a target score corresponding to the target tissue structure, wherein the target score is used to characterize the integrity of the target tissue structure; further, based on the evaluation results of each target tissue structure and the preset importance of each target tissue structure, the weight of each target tissue structure is determined, and the section score value of the current ultrasound section is determined based on the weight of each target tissue structure and the target score corresponding to the target tissue structure. The preset image segmentation model includes but is not limited to a yolo-seg (You Only Look Once, a target detection algorithm) algorithm model, and the section score value of the current ultrasound section can be a section standard degree.

[0080] Exemplarily, the corresponding weight interval can be obtained according to the importance of the target organizational structure, and the corresponding weight can be located in the weight interval based on the evaluation result of the target organizational structure. It should be noted that the number of weight values contained in the weight interval is greater than or equal to the number of levels corresponding to the evaluation result. The following example illustrates that, assuming that the total weight interval is 1-9, the weight interval of the most important target organizational structure can be 7-9, the weight interval of the second most important target organizational structure can be 4-6, and the weight interval of the unimportant target organizational structure can be 1-3. The evaluation results of the target organizational structure have three levels: unclear, clear, and very clear. For the most important target organizational structure, if its evaluation result is clear, its weight is 8. For the unimportant target organizational structure, if its evaluation result is unclear, its weight is more like 1. In the aforementioned example, there are no overlapping weights in the weight intervals corresponding to different importance levels. In fact, in some embodiments, there may also be overlapping weights in the weight intervals corresponding to different importance levels, for example: 3-4, 2-3, 1-2, etc.

[0081] Still taking the upper abdominal section as an example, in a specific embodiment, a target score for the umbilical vein is obtained as qjm_score, a target score for the gastric bulla is obtained as wp_score, and a target score for the spine is obtained as jz_score through a preset image segmentation model. Furthermore, weights for the umbilical vein, gastric bulla, and spine are determined based on the evaluation results of the umbilical vein, gastric bulla, and spine and their importance. For example, if the umbilical vein is most important, the gastric bulla is second, and the spine is less important than the first two, the umbilical vein is given the highest weight, and the gastric bulla and spine are given lower weights than the umbilical vein, and the weights decrease in descending order. Furthermore, if the umbilical vein is clear, the umbilical vein has a weight of weight1 = 3; if the umbilical vein is unclear, the umbilical vein has a weight of weight1 = 2; if the gastric bulla is clear, the gastric bulla has a weight of weight2 = 2; if the gastric bulla is unclear, the weight2 = 1; if the spine is clear, the spine has a weight of weight3 = 1; if the spine is unclear, the spine has a weight of weight3 = 0.5. It can be seen that the weights corresponding to the clarity of different target tissue structures are different. In practice, the weighting of target tissue structures depends on the operator's level of attention to the tissue structure, that is, the importance of the tissue structure. For example, in an upper abdominal section, the doctor pays more attention to the umbilical vein, the gastric bubble, and the spine, thus obtaining the above weight distribution. Furthermore, the present application calculates the section score value of the upper abdominal ultrasound section based on the target score and weight of each target tissue structure, for example: score_end = weight1*qjm_score + weight2*wp_score + weight3*jz_score. It can be understood that score_end represents the section score value.

[0082] Finally, this embodiment determines whether to perform a preset target operation on the current ultrasound section based on the section score value, wherein the preset target operation includes a detection or replacement operation. Specifically, if the section score value of the current ultrasound section meets the corresponding user requirements, and the current ultrasound section is the section that meets the user requirements in the first frame, then the section is detected; if the current ultrasound section is not the section that meets the requirements in the first frame, and the current ultrasound section meets the requirements better than the section that meets the requirements in the previous frame, then the section that meets the requirements in the previous frame is replaced.

[0083] In summary, this application evaluates the integrity of the target tissue structure from the perspectives of its morphological structure, size, etc. The above design scheme complies with clinical standards, and the cross-sectional score value calculated based on the above design scheme is more accurate.

[0084] It can be seen that the present application proposes an ultrasound section processing method, including: identifying at least one target tissue structure contained in the current ultrasound section; determining the evaluation result of at least one target tissue structure using an evaluation rule corresponding to the tissue type of the target tissue structure; the evaluation object of the evaluation rule includes: the scale information of the maximum circumscribed rectangle of the target tissue structure of the first tissue type, and / or, the size information of the target tissue structure of the second tissue type; determining the section score value of the current ultrasound section based on the evaluation results of each target tissue structure, and determining whether to perform a preset target operation on the current ultrasound section based on the section score value.

[0085] In summary, the present application evaluates the target tissue structure after identifying the target tissue structure. Moreover, when performing the evaluation, different tissue types are evaluated according to different evaluation objects, that is, the evaluation result of the target tissue structure is determined based on the tissue type, morphological information and size information of the target tissue structure, thereby improving the accuracy of the evaluation of the tissue structure in the ultrasonic section, thereby improving the accuracy of the evaluation results of the ultrasonic section and the accuracy of the ultrasonic scanning.

[0086] The embodiment of this application discloses a specific ultrasonic section processing method. Compared with the previous embodiment, this embodiment further explains and optimizes the technical solution. Figure 3 As shown, specifically including:

[0087] Step S21: Capture the current ultrasonic section and obtain the structural annotation information of the current ultrasonic section, and then save the current ultrasonic section and the structural annotation information into a preset cache.

[0088] Step S22: If an ultrasound section playback instruction is obtained, the target ultrasound section and the structural annotation information of the target ultrasound section corresponding to the playback parameters in the ultrasound section playback instruction are retrieved from the preset cache.

[0089] Step S23: Display the target ultrasound section and corresponding structure annotation information on the current ultrasound display interface; wherein the structure annotation information includes the size information of the target tissue structure, and / or the maximum circumscribed rectangle of the target tissue structure and the corresponding scale information; the playback parameters include the playback time period and / or the playback section identifier.

[0090] See also Figure 4 As shown, Figure 4 The standard degree of each frame in the ultrasound section is also the section score value of each frame. In this embodiment, after calculating the section score value, the current ultrasound section is captured and the structural annotation information of the current ultrasound section is obtained. Then, the current ultrasound section and the structural annotation information are saved in a preset cache. Furthermore, when the ultrasound section is called back, if the ultrasound device obtains an ultrasound section playback instruction, the target ultrasound section corresponding to the ultrasound section playback instruction is determined, that is, the ultrasound section that the operator wants to call back is determined, and the target ultrasound section and the corresponding structural annotation information are displayed on the current ultrasound display interface. Furthermore, if the ultrasound section playback instruction is not obtained, the display of the structural annotation information on the current ultrasound display interface is prohibited. Finally, after the target ultrasound section and the corresponding structural annotation information are displayed, the scan is ended and the operation interface is exited.

[0091] In this embodiment, the current ultrasound section can be displayed in the clipboard and preview bar of the current ultrasound display interface during the real-time drawing process.

[0092] In summary, it can be seen that in the process of real-time mapping, this embodiment displays the current ultrasound section on the current ultrasound display interface, but does not display the structural annotation information of each target tissue structure in the current ultrasound section. Furthermore, the current ultrasound section and the structural annotation information of each target tissue structure in the current ultrasound section are displayed during callback. In this way, it avoids excessive content displayed on the current ultrasound display interface during real-time mapping, which is not conducive to observation by operators, and can ensure that the structural annotation information of each target tissue structure in the current ultrasound section can be traced back, complies with clinical standards, is reasonably designed, and improves the controllability of the display of structural annotation information of each target tissue structure.

[0093] Considering that the calculation method of aspect standardization in traditional technology is obtained by algorithm engineers based on prior knowledge, it is not fully adapted to users of all qualifications and levels and does not meet customization requirements.

[0094] To this end, the embodiment of this application discloses a specific ultrasonic section processing method. Compared with the previous embodiment, this embodiment further explains and optimizes the technical solution. Figure 5 As shown, specifically including:

[0095] Step S31: different section selection criteria configured by different operators are obtained and saved; the section selection criteria include structure selection criteria corresponding to each target tissue structure on the ultrasound section.

[0096] Step S32: Determine the section selection standard corresponding to the current operator from different section selection standards. The section selection standard includes basic section selection standards and advanced section selection standards; wherein the advanced section selection standard requires more structural selection standards to be met than the basic section selection standard.

[0097] Step S33: Determine whether to perform a detection or replacement operation on the current ultrasound section based on the section score value and the section selection criteria corresponding to the current operator.

[0098] Among them, the structural selection criteria may include structural existence, structural clarity, etc. Advanced aspect selection criteria may be higher than basic aspect selection criteria. Furthermore, the advanced aspect selection criteria may require a target organizational structure to meet more structural selection criteria than the basic aspect selection criteria, and the number of target organizational structures that meet a structural selection criterion may also be greater than the basic aspect selection criteria. For example, the advanced aspect selection criteria may require that structure A exist and be clear, and structure B exist, while the basic aspect selection criteria require that structure A exist and structure B exist.

[0099] For example, the current ultrasound section can be detected only when the section score value of the current ultrasound section meets the conditions and meets the corresponding section selection criteria. When the section score value does not meet the conditions or does not meet the corresponding section selection criteria, the current ultrasound section can be replaced, that is, the ultrasound section is reacquired and evaluated.

[0100] Furthermore, during the ultrasound scan, the current ultrasound section is evaluated. If the evaluation determines that the current ultrasound section meets the requirements, it is detected as a scanned ultrasound section. The detected ultrasound section can be displayed in the ultrasound section display list, so that the corresponding ultrasound section can be recalled and displayed later. If the current ultrasound section does not meet the requirements, a replacement operation can be performed to re-scan and re-evaluate the ultrasound section, and the newly obtained ultrasound section that meets the requirements can be detected.

[0101] In some cases, the replacement operation may also be: when the slice score value of the current ultrasound slice meets the conditions and conforms to the corresponding slice selection criteria, the current ultrasound slice is used to replace the historical ultrasound slice that does not meet the requirements.

[0102] See also Figure 6As shown, first enter the customized tissue structure scoring function of the ultrasound device, which can realize the customized design of tissue structure inclusion criteria (that is, section selection criteria, including detection and replacement). Furthermore, different operators quantitatively set different inclusion criteria based on their own attention level and needs for each target tissue structure. For example: When a doctor determines whether the upper abdominal section is of basic standard, he mainly observes whether the umbilical vein and gastric bubble are present. When judging whether the upper abdominal section is of standard, he mainly observes whether the umbilical vein is clear and whether the gastric bubble is clear. In this way, in some embodiments, the upper abdomen is selected as the basic standard: unclear umbilical vein + unclear gastric bubble / clear gastric bubble + spine, and the upper abdomen is selected as the advanced standard: clear umbilical vein + clear gastric bubble + spine.

[0103] In this embodiment, during the ultrasound scan, the operation interface is displayed. At this time, the operator can control the ultrasound scan process based on the operation interface to achieve image drawing; if the inclusion criteria setting instruction is received, the interface can be switched to the inclusion criteria setting interface; after setting different inclusion criteria, the current inclusion criteria are applied to the obstetrics AI function, and then the operator returns to the operation interface to draw images in real time. Figure 7 As shown, after obtaining the single-frame segmentation result, that is, obtaining each target tissue structure of the current ultrasound section, the maximum circumscribed rectangle of the target tissue structure is calculated, and the clarity of the target tissue structure is calculated based on the aspect ratio of the maximum circumscribed rectangle and the segmentation ratio of the target tissue structure. Then, the section standardization of the current ultrasound section is calculated based on the clarity and weight of each target tissue structure. Finally, based on the section standardization and inclusion criteria, it is determined whether to detect or replace the current ultrasound section.

[0104] From the above, it can be seen that in this embodiment, doctors can set basic standard section inclusion criteria and standard section inclusion criteria according to their actual needs. In this way, the replacement and capture of sections are more in line with the current doctor's usage specifications, that is, this embodiment realizes the customized design of the inclusion criteria, so that each doctor can independently design an algorithm solution that suits his or her own habits.

[0105] Correspondingly, the present application also discloses an ultrasonic section processing device, see Figure 8 As shown, the device includes:

[0106] an identification module 11, configured to identify at least one target tissue structure contained in a current ultrasound section;

[0107] An evaluation module 12 is configured to determine an evaluation result of the at least one target tissue structure using an evaluation rule corresponding to the tissue type of the target tissue structure; wherein the evaluation rule includes: scale information of a maximum bounding rectangle of a target tissue structure of a first tissue type, and / or size information of a target tissue structure of a second tissue type;

[0108] The operation module 13 is configured to determine a section score value of the current ultrasound section based on the evaluation results of each target tissue structure, and determine whether to perform a preset target operation on the current ultrasound section based on the section score value.

[0109] Among them, for more specific working processes of the above modules, please refer to the corresponding contents disclosed in the aforementioned embodiments, which will not be repeated here.

[0110] In summary, the present application evaluates the target tissue structure after identifying the target tissue structure. Moreover, when performing the evaluation, different tissue types are evaluated according to different evaluation objects, that is, the evaluation result of the target tissue structure is determined based on the tissue type, morphological information and size information of the target tissue structure, thereby improving the accuracy of the evaluation of the tissue structure in the ultrasonic section, thereby improving the accuracy of the ultrasonic section evaluation results and the accuracy of the ultrasonic scanning, and improving the accuracy of the evaluation of the ultrasonic section.

[0111] In some specific embodiments, the evaluation module 12 may specifically include:

[0112] a preset aspect ratio range determining unit, configured to determine a preset aspect ratio range corresponding to a tissue structure of a first tissue type;

[0113] a circumscribed rectangle determining unit, configured to obtain a target maximum circumscribed rectangle of the target tissue structure of the first tissue type in the current ultrasound section, and determine a length-to-width ratio of the target maximum circumscribed rectangle;

[0114] The first evaluation result determining unit is configured to determine an evaluation result of the target tissue structure of the first tissue type by comparing the aspect ratio of the target maximum circumscribed rectangle with the preset aspect ratio range.

[0115] In some specific embodiments, the evaluation module 12 may specifically include:

[0116] a preset area ratio range determining unit, configured to determine a preset area ratio range corresponding to a tissue structure of a second tissue type;

[0117] A target part tissue structure determination unit is used to determine the target part structure corresponding to the current ultrasonic section; the target part structure is the overall structure composed of all tissues of the detected object in the current ultrasonic section;

[0118] an area ratio determination unit, configured to obtain an area size of a first region of the target tissue structure of the second tissue type and an area size of a second region corresponding to the target part structure in a current ultrasound section, and determine an area ratio between the area size of the first region and the area size of the second region;

[0119] The second evaluation result determining unit is configured to determine an evaluation result of the target tissue structure of the second tissue type by comparing the area ratio with the preset area ratio range.

[0120] In some specific embodiments, the second evaluation result determining unit is specifically configured to:

[0121] determining a continuity state of a boundary contour of a target tissue structure of the second tissue type;

[0122] An evaluation result of the target tissue structure of the second tissue type is determined by combining a comparison result of the area ratio and the preset area ratio range and a continuity state of the boundary contour.

[0123] In some specific embodiments, the identification module 11 may specifically include:

[0124] a target score output unit, configured to identify at least one target tissue structure contained in the current ultrasound section using a preset image segmentation model, and output a target score corresponding to the target tissue structure; wherein the target score is used to characterize the integrity of the target tissue structure;

[0125] Accordingly, the operation module 13 may specifically include:

[0126] a weight determination unit, configured to determine a weight of each target organizational structure based on an evaluation result of each target organizational structure and a preset importance of each target organizational structure;

[0127] A section score value determination unit is used to determine the section score value of the current ultrasound section according to the weight of each target tissue structure and the target score corresponding to the target tissue structure.

[0128] In some specific embodiments, the ultrasonic surface treatment device further comprises:

[0129] a current ultrasonic section capturing unit, configured to capture the current ultrasonic section and obtain structural annotation information of the current ultrasonic section, and then save the current ultrasonic section and the structural annotation information into a preset cache;

[0130] Accordingly, the ultrasonic section processing device further includes:

[0131] a target ultrasonic section retrieving unit, configured to retrieve, from the preset cache, the target ultrasonic section corresponding to the playback parameters in the ultrasonic section playback instruction and the structural annotation information of the target ultrasonic section if an ultrasonic section playback instruction is obtained;

[0132] A target ultrasound section display unit, configured to display the target ultrasound section and corresponding structure annotation information on the current ultrasound display interface;

[0133] The structure annotation information includes the size information of the target tissue structure and / or the maximum bounding rectangle of the target tissue structure and corresponding scale information; the playback parameters include the playback time period and / or the playback section identifier.

[0134] In some specific embodiments, the ultrasonic surface treatment device further comprises:

[0135] The structure annotation information display prohibition unit is used to prohibit the display of the structure annotation information on the current ultrasound display interface if the ultrasound section playback instruction is not obtained.

[0136] In some specific embodiments, the ultrasonic surface treatment device further comprises:

[0137] A section selection standard configuration module is used to obtain and save different section selection standards configured by different operators; the section selection standards include structure selection standards corresponding to each target tissue structure on the ultrasound section;

[0138] Accordingly, the operation module 13 includes:

[0139] a section selection standard determining unit, configured to determine a section selection standard corresponding to the current operator from among the different section selection standards;

[0140] The detection or replacement operation module is used to determine whether to perform a detection or replacement operation on the current ultrasound section based on the section score value and the section selection standard corresponding to the current operator.

[0141] In some specific embodiments, the section selection criteria include basic section selection criteria and advanced section selection criteria; wherein the advanced section selection criteria need to meet more structural selection criteria than the basic section selection criteria need to meet.

[0142] Furthermore, an embodiment of the present application also provides an electronic device. Figure 9 This is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content in the diagram should not be considered as any limitation to the scope of application of the present application.

[0143] Figure 9This is a schematic diagram of the structure of an electronic device 20 provided in an embodiment of the present application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a display screen 23, an input / output interface 24, a communication interface 25, a power supply 26, and a communication bus 27. The memory 22 is used to store a computer program, which is loaded and executed by the processor 21 to implement the relevant steps of the ultrasonic section processing method disclosed in any of the aforementioned embodiments. Furthermore, the electronic device 20 in this embodiment may specifically be an electronic computer.

[0144] In this embodiment, the power supply 26 is used to provide operating voltage for each hardware device on the electronic device 20; the communication interface 25 can create a data transmission channel between the electronic device 20 and the external device. The communication protocol it follows is any communication protocol that can be applied to the technical solution of this application and is not specifically limited here; the input and output interface 24 is used to obtain external input data or output data to the outside world. Its specific interface type can be selected according to specific application needs and is not specifically limited here.

[0145] In addition, the memory 22, as a carrier for resource storage, can be a read-only memory, random access memory, a magnetic disk, or an optical disk, etc. The resources stored thereon can include a computer program 221, which can be stored in a temporary or permanent manner. In addition to including a computer program capable of performing the ultrasonic section processing method performed by the electronic device 20 as disclosed in any of the aforementioned embodiments, the computer program 221 can further include a computer program capable of performing other specific tasks.

[0146] Furthermore, an embodiment of the present application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the ultrasonic section processing method disclosed above is implemented.

[0147] For the specific steps of this method, please refer to the corresponding contents disclosed in the aforementioned embodiments, which will not be repeated here.

[0148] The various embodiments in this application are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the method part.

[0149] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the components and steps of each example according to their functions. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0150] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0151] Finally, it should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or device comprising the element.

[0152] The above is a detailed introduction to the ultrasonic section processing method, device, equipment, and storage medium provided by the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for general technical personnel in this field, based on the ideas of the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. An ultrasonic section processing method, characterized in that: include: identifying at least one target tissue structure contained in the current ultrasound section; determining an evaluation result of the at least one target organizational structure using an evaluation rule corresponding to the organizational type of the target organizational structure; The evaluation objects of the evaluation rule include: scale information of the maximum circumscribed rectangle of the target tissue structure of the first tissue type, and / or size information of the target tissue structure of the second tissue type; A section score value of the current ultrasound section is determined based on the evaluation results of each target tissue structure, and whether a preset target operation is performed on the current ultrasound section is determined based on the section score value.

2. The ultrasonic section processing method according to claim 1, characterized in that: If a target organizational structure of the first organizational type exists among the at least one target organizational structure, determining an evaluation result of the at least one target organizational structure by using an evaluation rule corresponding to the organizational type of the target organizational structure includes: determining a preset aspect ratio range corresponding to a tissue structure of a first tissue type; Acquire a target maximum circumscribed rectangle of a target tissue structure of the first tissue type in a current ultrasound section, and determine a length-to-width ratio of the target maximum circumscribed rectangle; An evaluation result of the target tissue structure of the first tissue type is determined by comparing the aspect ratio of the target maximum circumscribed rectangle with the preset aspect ratio range.

3. The ultrasonic section processing method according to claim 1, characterized in that: If a target organizational structure of the second organizational type exists among the at least one target organizational structure, determining an evaluation result of the at least one target organizational structure by using an evaluation rule corresponding to the organizational type of the target organizational structure includes: determining a preset area ratio range corresponding to a tissue structure of a second tissue type; Determine the target part structure corresponding to the current ultrasonic section; the target part structure is the overall structure composed of all tissues of the detected object in the current ultrasonic section; Acquire the area size of a first region of the target tissue structure of the second tissue type and the area size of a second region corresponding to the target site structure in the current ultrasound section, and determine an area ratio between the area size of the first region and the area size of the second region; By comparing the area ratio with the preset area ratio range, an evaluation result of the target tissue structure of the second tissue type is determined.

4. The ultrasonic section processing method according to claim 3, characterized in that: Determining the evaluation result of the target tissue structure of the second tissue type by comparing the area ratio with the preset area ratio range includes: determining a continuity state of a boundary contour of a target tissue structure of the second tissue type; An evaluation result of the target tissue structure of the second tissue type is determined by combining a comparison result of the area ratio and the preset area ratio range and a continuity state of the boundary contour.

5. The ultrasonic section processing method according to claim 1, characterized in that: The identifying of at least one target tissue structure included in the current ultrasound section includes: Identifying at least one target tissue structure contained in the current ultrasound section using a preset image segmentation model, and outputting a target score corresponding to the target tissue structure; wherein the target score is used to characterize the integrity of the target tissue structure; Accordingly, determining the section score value of the current ultrasound section based on the evaluation results of each target tissue structure includes: determining a weight of each target organizational structure based on an evaluation result of each target organizational structure and a preset importance of each target organizational structure; The section score value of the current ultrasound section is determined according to the weight of each target tissue structure and the target score corresponding to the target tissue structure.

6. The ultrasonic section processing method according to claim 1, characterized in that: Also includes: Capturing the current ultrasonic section and obtaining structural annotation information of the current ultrasonic section, and then saving the current ultrasonic section and the structural annotation information into a preset cache; Accordingly, the ultrasonic section processing method further includes: If an ultrasound section playback instruction is obtained, the target ultrasound section and the structural annotation information of the target ultrasound section corresponding to the playback parameters in the ultrasound section playback instruction are retrieved from the preset cache; Displaying the target ultrasound section and corresponding structure annotation information on the current ultrasound display interface; The structure annotation information includes the size information of the target tissue structure and / or the maximum bounding rectangle of the target tissue structure and corresponding scale information; the playback parameters include the playback time period and / or the playback section identifier.

7. The ultrasonic section processing method according to claim 6, characterized in that: Also includes: If the ultrasound section playback instruction is not obtained, the structure annotation information is prohibited from being displayed on the current ultrasound display interface.

8. The ultrasonic sectioning method according to any one of claims 1 to 7, characterized in that: Also includes: Obtaining and saving different section selection criteria configured by different operators; the section selection criteria include structure selection criteria corresponding to each target tissue structure on the ultrasound section; Accordingly, determining whether to perform a preset target operation on the current ultrasound section based on the section score value includes: Determining a section selection standard corresponding to the current operator from the different section selection standards; Whether to perform a detection or replacement operation on the current ultrasound section is determined based on the section score value and the section selection standard corresponding to the current operator.

9. The ultrasonic section processing method according to claim 8, characterized in that: The section selection criteria include basic section selection criteria and advanced section selection criteria; wherein, the advanced section selection criteria need to meet more structural selection criteria than the basic section selection criteria need to meet.

10. An ultrasonic section treatment device, characterized in that: include: an identification module, configured to identify at least one target tissue structure contained in a current ultrasound section; an evaluation module, configured to determine an evaluation result of the at least one target organizational structure by using an evaluation rule corresponding to an organizational type of the target organizational structure; The evaluation objects of the evaluation rule include: scale information of the maximum circumscribed rectangle of the target tissue structure of the first tissue type, and / or size information of the target tissue structure of the second tissue type; An operation module is used to determine a section score value of the current ultrasound section based on the evaluation results of each target tissue structure, and determine whether to perform a preset target operation on the current ultrasound section based on the section score value.

11. An electronic device, characterized in that: include: Memory, used to store computer programs; A processor, configured to execute the computer program to implement the ultrasonic section processing method according to any one of claims 1 to 9.

12. A computer-readable storage medium, characterized in that Used to store a computer program; wherein, when the computer program is executed by a processor, the ultrasonic section processing method according to any one of claims 1 to 9 is implemented.

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