Ultrasonic treatment control system and method based on medical image data

Abstract

The invention discloses an ultrasonic treatment control system and method based on medical image data, and relates to the technical field of ultrasonic data management.The method comprises the steps that a template image of an examined object is established, and in the ultrasonic examination process of a patient, a target detection area is selected from the template image; extracting common features of the ultrasonic image of the certain ultrasonic inspection item, forming a feature reference image by using the common features, calculating a first evaluation coefficient of various ultrasonic probe states through a difference value of state retention time, and removing the common features from the current ultrasonic image to obtain a target image; the definition evaluation values of the target images of the ultrasonic probes in different states are evaluated, the proportion of the image definition evaluation values to the input energy serves as a second evaluation coefficient of the states of the ultrasonic probes, the states of the multiple ultrasonic probes are selected as reference states, and the states of the ultrasonic probes are pushed to related ultrasonic inspection operators.

Description

Technical Field

[0001] The present invention relates to the technical field of ultrasound data management, and in particular to an ultrasound therapy control system and a control method based on medical imaging data. Background Art

[0002] Medical ultrasound imaging is a method of using ultrasound technology to perform imaging diagnosis in the medical field. It is often used to detect organ structure, blood flow, abnormal tissue, etc. With the widespread application of ultrasound examination technology, ultrasound examination needs to undertake more inspection tasks, so the image quality of ultrasound images has become a concern.

[0003] Under the condition of using the same ultrasound detection equipment, the image quality of ultrasound images is affected by the operation techniques of the relevant operators. If the operation techniques are good and the images are clear, the diagnosis becomes relatively easy. In addition, the operation techniques must be in a certain order. If the scan is not comprehensive, the missed parts will often be missed. Due to the different experience and knowledge reserves of different operators, ultrasound operation techniques are difficult to replicate, resulting in different ultrasound examination efficiency and imaging effects of different operators, which in turn affects the relevant doctors' judgment of the patient's condition during the subsequent diagnosis and treatment process. Summary of the invention

[0004] The object of the present invention is to provide an ultrasonic therapy control system and control method based on medical imaging data to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solution: an ultrasound therapy control method based on medical imaging data, the method comprising:

[0006] Step S100: acquiring complete ultrasound image information of an inspection object of a certain ultrasound inspection item from an ultrasound image database, establishing a template image of the inspection object, and selecting a target detection area from the template image according to the distribution of the sampling positions of the ultrasound probe on the template image during ultrasound inspection of the patient;

[0007] Step S200: a patient who undergoes a certain ultrasound examination is set as a target patient, historical ultrasound examination data of the target patient is obtained, common features of ultrasound images of a certain ultrasound examination item are extracted, and the common features are combined into a feature reference image;

[0008] Step S300: collecting state information of the ultrasonic probe in the target detection area, composing the state information into a state sequence, and calculating a first evaluation coefficient of various ultrasonic probe states by the difference of state holding time;

[0009] Step S400: collecting a current ultrasound image of a target patient undergoing a certain ultrasound examination item, removing common features from the current ultrasound image to obtain a target image, and evaluating the clarity evaluation value of the target image under different states of the ultrasound probe;

[0010] Step S500: Acquire the ultrasonic transmission power and holding time of the ultrasonic probe in different states when a certain ultrasonic examination project is currently being performed, and use the ratio of the image clarity evaluation value to the input energy as the second evaluation coefficient of the ultrasonic probe state;

[0011] Step S600: Calculate the state parameters of each state of the ultrasound probe according to the first evaluation coefficient and the second evaluation coefficient, select several states of the ultrasound probe as reference states, and push the ultrasound probe state to relevant ultrasound examination operators when the same patient undergoes an ultrasound examination of a certain ultrasound examination item again.

[0012] Furthermore, step S100 includes:

[0013] Step S101: During an ultrasonic inspection, the relative position between the ultrasonic probe and the inspection object is sampled to obtain N0 sampling positions, and the sampling positions obtained by each sampling are mapped to a template image;

[0014] Step S102: rasterize the template image to obtain m unit management areas, calculate the average sampling density ρ0, where ρ0=N0 / m; calculate the regional sampling density ρk of the k-th unit management area, ρk=Nk / Dk, where Nk represents the number of sampling positions of the k-th unit management area, and Dk represents the area of ​​the k-th unit management area;

[0015] Step S103: selecting a unit management area whose regional sampling density is greater than the average sampling density as a target management area, marking the target management area from the actual ultrasound image of the patient, and combining all the target management areas in the same ultrasound image into a target detection area;

[0016] Since different patients have different bodies, the sizes of the collected ultrasound images are also different. The relative positions of the collected ultrasound probe and the detected object are mapped to a unified template of the detected object. In the process of further calculating the distribution of the ultrasound probe, the distribution statistical deviation caused by the different sizes of the detected objects or the offset of the acquisition angle during acquisition is reduced.

[0017] Select unit management areas with sampling density greater than the average density. Compared with the complete detected object, the ultrasound probe stays in the target management area longer during the ultrasound detection process, and the areas that doctors pay more attention to during the patient's visit are screened out for image analysis.

[0018] Further, step S200 includes:

[0019] Step S201: obtaining the i-th examination record of a certain ultrasound examination item of a target patient, and obtaining n ultrasound images from the i-th examination record;

[0020] Step S202: Extract the common features of n ultrasound images and obtain the feature reference image P ref ;

[0021] The common features extracted from several ultrasound images are regions with small changes in the several ultrasound images. These images with small changes in multiple ultrasound images are the common features of the ultrasound images. After removing the common features from one ultrasound image, the image obtained is a specific image in the ultrasound image.

[0022] If the clarity of all areas in an ultrasound image is evaluated, the clarity of the ultrasound image may be high, but the clarity of the specific area may be low, because the clarity of the common feature area is higher and the clarity of the specific area is lower, or the common feature area accounts for a large proportion of the ultrasound image and the specific area accounts for a small proportion of the ultrasound image, resulting in a high clarity evaluation value of the ultrasound image, but the clarity of the specific area is low, and the recognizability of the ultrasound image is still not high. Therefore, focusing on the evaluation of the specific part of the ultrasound image can better reflect the impact of the change in clarity of the ultrasound image on whether the content on the image is easy to identify.

[0023] Furthermore, step S300 includes:

[0024] Step S301: a unit time interval is set, and at each unit time interval, the angle between the ultrasonic probe and the horizontal position and the pressure between the ultrasonic probe and the contact surface are collected to obtain an ultrasonic probe state;

[0025] Step S302: Arrange the ultrasound probe states according to the order of acquisition time to obtain a state sequence, obtain any three consecutive ultrasound probe states in the state sequence and record them as st1, st2 and st3 respectively, record the time period from the end of st1 to the end of st2 as the holding time t2 of st2, and record the time period from the end of st2 to the end of st3 as the holding time t3 of st3;

[0026] Step S303: Calculate the relative reference coefficient f32 of st3 relative to st2, f32=t3-t2, merge the ultrasound probe states with the same state sequence as st3 into the ultrasound probe state type type3, take the average value of the reference coefficients of all ultrasound probe states in type3 relative to the previous ultrasound probe state, and obtain the first evaluation coefficient α of the ultrasound probe state in type3;

[0027] The first evaluation coefficient evaluates the relative preference of different ultrasound probe states. In a period of continuously changing ultrasound probe states, the first evaluation coefficient of the ultrasound probe state with a relatively long maintenance time will become larger. The first evaluation coefficient compares the relationship between the relative maintenance time of different ultrasound states, reduces the influence of factors other than ultrasound detection during the diagnosis and treatment process, and makes the screened ultrasound probe state more in line with the actual situation during the ultrasound examination process.

[0028] Furthermore, step S400 includes:

[0029] Step S401: Obtain an ultrasonic image Px of the ultrasonic probe in a certain ultrasonic probe state stx, remove the common features in Pref from Px, and obtain a target image P corresponding to stx tar x ;

[0030] Step S402: The target image P tar x Converted into a grayscale image, by calculating the target image P tar x The change gradient of the pixel gray value in the corresponding gray image is used to obtain the target image P tar x The clarity rating G tar x .

[0031] Furthermore, step S500 includes:

[0032] Step S501: when a target patient is currently undergoing a certain ultrasound examination project, the ultrasound transmission power Wx of the ultrasound probe state stx and the holding time tx of stx are obtained, and the ultrasound input energy Jx is calculated, where Jx=Wx·tx;

[0033] Step S502: Calculate the second evaluation coefficient βx of the ultrasonic probe state stx, βx=G tar x / Jx;

[0034] The second evaluation coefficient reflects the contribution of ultrasonic energy to improving the clarity of ultrasonic images. In practical applications, affected by the operating techniques of the ultrasonic inspection operator, the recognizability of the ultrasonic image obtained is different under the same ultrasonic transmission power. In addition, during the ultrasonic inspection process, excessive ultrasonic transmission energy will not only produce virtual images in the ultrasonic image, affecting the recognition degree of the ultrasonic image, but excessive ultrasonic power may cause thermal damage to the tissue, especially in the case of long-term contact, which may cause pain or other adverse reactions. The contribution of ultrasonic transmission power to the clarity of the ultrasonic image is used to optimize the state of the ultrasonic probe.

[0035] Furthermore, step S600 includes:

[0036] Step S601: Calculate the state parameter ηx of the ultrasonic probe state stx, ηx=αx·βx, where αx represents the first evaluation coefficient corresponding to the ultrasonic probe state stx;

[0037] Step S602: summing the state parameters of the same ultrasound probe state, arranging the various states from large to small according to the state parameters, and selecting the first h ultrasound probe states as the ultrasound probe states.

[0038] In order to better implement the above method, an ultrasound therapy control system based on medical imaging data is also proposed, the system includes: a target detection area management module, a feature reference image management module, a first evaluation coefficient calculation module, a clarity evaluation value calculation module, a second evaluation coefficient calculation module and an information management module, wherein the target detection area management module is used to select a target detection area from a template image, the feature reference image management module is used to obtain common features and compose a feature reference image with the common features, the first evaluation coefficient calculation module is used to calculate a first evaluation coefficient of an ultrasound probe state, the clarity evaluation value calculation module is used to evaluate the clarity of a target image, the second evaluation coefficient calculation module is used to calculate a second evaluation coefficient of an ultrasound probe state, and the information management module is used to screen the ultrasound probe state and push information;

[0039] Further, the target detection area management module includes: a template image management unit, a sampling density calculation unit and a region selection unit, wherein the template image management unit is used to manage the template image of the ultrasonic inspection object, the sampling density calculation unit is used to calculate the ultrasonic probe state, and the region selection unit is used to select the target detection area from the ultrasonic image;

[0040] Further, the feature reference image management module includes: an inspection record acquisition unit and a feature reference image management unit, wherein the inspection record acquisition unit is used to acquire a plurality of ultrasound images of the same ultrasound inspection item, and the feature reference image management unit is used to acquire common features from a plurality of ultrasound images to form a feature reference image;

[0041] Further, the first evaluation coefficient calculation module includes: a state acquisition unit, a holding time calculation unit and a first evaluation coefficient calculation unit, wherein the state acquisition unit is used to acquire state data of the ultrasound probe, the holding time calculation unit is used to calculate the holding time between two ultrasound probe states, and the first evaluation coefficient calculation unit is used to calculate the first evaluation coefficient;

[0042] Further, the clarity evaluation value calculation module includes: a target image management unit and a clarity evaluation unit, wherein the target image management unit is used to obtain a target image corresponding to the state of the ultrasound probe, and the clarity evaluation unit is used to calculate the clarity evaluation value of the target image;

[0043] Further, the second evaluation coefficient calculation module includes: an input energy calculation unit and a second evaluation coefficient calculation unit, wherein the input energy calculation unit is used to calculate the input energy of the ultrasound probe state, and the second evaluation coefficient calculation unit is used to calculate the second evaluation coefficient of the ultrasound probe state;

[0044] Furthermore, the information management module includes: a state parameter calculation unit, a screening unit and an information push unit, wherein the state parameter calculation unit is used to calculate the state parameters of the ultrasound probe state, the screening unit is used to screen the ultrasound probe state, and the information push unit is used to push the ultrasound probe state to relevant ultrasound inspection operators.

[0045] Compared with the prior art, the beneficial effect achieved by the present invention is as follows: the present invention selects a better ultrasonic probe state for recording through the relative holding time of the ultrasonic probe and the contribution of the ultrasonic power to the ultrasonic image. The relevant ultrasonic inspection operator can reduce the time of each inspection according to the preferred ultrasonic inspection operator, thereby improving the efficiency of the ultrasonic inspection and the recognizability of the obtained ultrasonic image. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0047] Figure 1 This is a schematic diagram of the structure of an ultrasonic therapy control system based on medical imaging data in the present invention;

[0048] Figure 2 It is a flow chart of an ultrasonic treatment control method based on medical imaging data in the present invention;

[0049] Figure 3 This is a schematic diagram of the target image extraction process of an ultrasound therapy control method based on medical imaging data in the patent of this invention. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0051] See also Figure 1 , Figure 2 and Figure 3 , the present invention provides a technical solution:

[0052] Step S100: acquiring complete ultrasound image information of an inspection object of a certain ultrasound inspection item from an ultrasound image database, establishing a template image of the inspection object, and selecting a target detection area from the template image according to the distribution of the sampling positions of the ultrasound probe on the template image during ultrasound inspection of the patient;

[0053] Wherein, step S100 includes:

[0054] Step S101: During an ultrasonic inspection, the relative position between the ultrasonic probe and the inspection object is sampled to obtain N0 sampling positions, and the sampling positions obtained by each sampling are mapped to a template image;

[0055] Step S102: rasterize the template image to obtain m unit management areas, calculate the average sampling density ρ0, where ρ0=N0 / m; calculate the regional sampling density ρk of the k-th unit management area, ρk=Nk / Dk, where Nk represents the number of sampling positions of the k-th unit management area, and Dk represents the area of ​​the k-th unit management area;

[0056] Step S103: select a unit management area with a regional sampling density greater than the average sampling density as a target management area, mark the target management area from the actual ultrasound image of the patient, and combine all target management areas in the same ultrasound image into a target detection area.

[0057] Step S200: a patient who undergoes a certain ultrasound examination is set as a target patient, historical ultrasound examination data of the target patient is obtained, common features of ultrasound images of a certain ultrasound examination item are extracted, and the common features are combined into a feature reference image;

[0058] Wherein, step S200 includes:

[0059] Step S201: obtaining the i-th examination record of a certain ultrasound examination item of a target patient, and obtaining n ultrasound images from the i-th examination record;

[0060] Step S202: Extract the common features of n ultrasound images and obtain the feature reference image P ref ;

[0061] like Figure 3 The target image extraction process diagram shown in the figure, P0 is the currently acquired ultrasound image, P1 represents the reference image formed by fusion of multiple images of historical data, and P2 represents the remaining image of P0 after removing the common features of P1;

[0062] The methods of multi-image fusion include: pixel equalization algorithm and extracting image features through convolutional neural network CNN.

[0063] Step S300: collecting state information of the ultrasonic probe in the target detection area, composing the state information into a state sequence, and calculating a first evaluation coefficient of various ultrasonic probe states by the difference of state holding time;

[0064] Wherein, step S300 includes:

[0065] Step S301: a unit time interval is set, and at each unit time interval, the angle between the ultrasonic probe and the horizontal position and the pressure between the ultrasonic probe and the contact surface are collected to obtain an ultrasonic probe state;

[0066] Step S302: Arrange the ultrasound probe states according to the order of acquisition time to obtain a state sequence, obtain any three consecutive ultrasound probe states in the state sequence and record them as st1, st2 and st3 respectively, record the time period from the end of st1 to the end of st2 as the holding time t2 of st2, and record the time period from the end of st2 to the end of st3 as the holding time t3 of st3;

[0067] Step S303: Calculate the relative reference coefficient f32 of st3 relative to st2, f32=t3-t2, merge the ultrasound probe states with the same state sequence as st3 into the ultrasound probe state type type3, take the average value of the reference coefficients of all ultrasound probe states in type3 relative to the previous ultrasound probe state, and obtain the first evaluation coefficient α of the ultrasound probe state in type3;

[0068] The ultrasound probe states before st3 are collected: (st21, st3), (st22, st3), (st23, st3) and (st24, st3), st21, st22, st23 and st24 represent different ultrasound probe states, and the relative reference coefficients are calculated respectively, where f 1 32=3、f 2 32=2、f 3 32 = -1.5, f 4 32=-1, unit: second;

[0069] The first evaluation coefficient α=0.625 is calculated.

[0070] Step S400: collecting a current ultrasound image of a target patient undergoing a certain ultrasound examination item, removing common features from the current ultrasound image to obtain a target image, and evaluating the clarity evaluation value of the target image under different states of the ultrasound probe;

[0071] Wherein, step S400 includes:

[0072] Step S401: Obtain an ultrasonic image Px of the ultrasonic probe in a certain ultrasonic probe state stx, remove the common features in Pref from Px, and obtain a target image P corresponding to stx tar x ;

[0073] Step S402: The target image P tar x Converted into a grayscale image, by calculating the target image P tar x The change gradient of the pixel gray value in the corresponding gray image is used to obtain the target image P tar x The clarity rating G tar x ;

[0074] The clarity rating function, for example, is a Brenner gradient method, a Tenegrad gradient method, a Laplace gradient method, or an energy gradient method. The larger the gradient value, the greater the sharpness of the image edge in the picture. The larger the gradient value, the greater the clarity rating value.

[0075] Step S500: Acquire the ultrasonic transmission power and holding time of the ultrasonic probe in different states when a certain ultrasonic examination project is currently being performed, and use the ratio of the image clarity evaluation value to the input energy as the second evaluation coefficient of the ultrasonic probe state;

[0076] Wherein, step S500 includes:

[0077] Step S501: when a target patient is currently undergoing a certain ultrasound examination project, the ultrasound transmission power Wx of the ultrasound probe state stx and the holding time tx of stx are obtained, and the ultrasound input energy Jx is calculated, where Jx=Wx·tx;

[0078] Step S502: Calculate the second evaluation coefficient βx of the ultrasonic probe state stx, βx=G tar x / Jx.

[0079] Step S600: Calculate the state parameters of each state of the ultrasound probe according to the first evaluation coefficient and the second evaluation coefficient, select the states of several ultrasound probes as reference states, and push the ultrasound probe states to relevant ultrasound examination operators when the same patient undergoes an ultrasound examination of a certain ultrasound examination item again;

[0080] Wherein, step S600 includes:

[0081] Step S601: Calculate the state parameter ηx of the ultrasonic probe state stx, ηx=αx·βx, where αx represents the first evaluation coefficient corresponding to the ultrasonic probe state stx;

[0082] Step S602: summing the state parameters of the same ultrasound probe state, arranging the various states from large to small according to the state parameters, and selecting the first h ultrasound probe states as the ultrasound probe states.

[0083] The system includes:

[0084] Target detection area management module, feature reference image management module, first evaluation coefficient calculation module, clarity evaluation value calculation module, second evaluation coefficient calculation module and information management module;

[0085] The target detection area management module is used to select the target detection area from the template image, wherein the target detection area management module includes: a template image management unit, a sampling density calculation unit and a region selection unit, wherein the template image management unit is used to manage the template image of the ultrasonic inspection object, the sampling density calculation unit is used to calculate the ultrasonic probe state, and the region selection unit is used to select the target detection area from the ultrasonic image;

[0086] The feature reference image management module is used to obtain common features and compose the common features into a feature reference image, wherein the feature reference image management module includes: an inspection record acquisition unit and a feature reference image management unit, wherein the inspection record acquisition unit is used to obtain a number of ultrasound images of the same ultrasound inspection item, and the feature reference image management unit is used to obtain common features from a number of ultrasound images to compose a feature reference image;

[0087] The first evaluation coefficient calculation module is used to calculate the first evaluation coefficient of the state of the ultrasound probe, wherein the first evaluation coefficient calculation module includes: a state acquisition unit, a holding time calculation unit and a first evaluation coefficient calculation unit, wherein the state acquisition unit is used to acquire state data of the ultrasound probe, the holding time calculation unit is used to calculate the holding time between two ultrasound probe states, and the first evaluation coefficient calculation unit is used to calculate the first evaluation coefficient;

[0088] The clarity evaluation value calculation module is used to evaluate the clarity of the target image, and the first evaluation coefficient calculation module includes: a state acquisition unit, a holding time calculation unit and a first evaluation coefficient calculation unit, wherein the state acquisition unit is used to acquire state data of the ultrasound probe, the holding time calculation unit is used to calculate the holding time between two ultrasound probe states, and the first evaluation coefficient calculation unit is used to calculate the first evaluation coefficient;

[0089] The second evaluation coefficient calculation module is used to calculate the second evaluation coefficient of the ultrasonic probe state, wherein the second evaluation coefficient calculation module includes: an input energy calculation unit and a second evaluation coefficient calculation unit, wherein the input energy calculation unit is used to calculate the input energy of the ultrasonic probe state, and the second evaluation coefficient calculation unit is used to calculate the second evaluation coefficient of the ultrasonic probe state;

[0090] Among them, the information management module is used to screen the ultrasound probe status and push information, wherein the information management module includes: a state parameter calculation unit, a screening unit and an information push unit, wherein the state parameter calculation unit is used to calculate the state parameters of the ultrasound probe status, the screening unit is used to screen the ultrasound probe status, and the information push unit is used to push the ultrasound probe status to relevant ultrasound inspection operators.

[0091] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0092] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An ultrasonic therapy control method based on medical imaging data, characterized in that: The method comprises the following steps: Step S100: acquiring complete ultrasound image information of an inspection object of a certain ultrasound inspection item from an ultrasound image database, establishing a template image of the inspection object, and selecting a target detection area from the template image according to the distribution of the sampling positions of the ultrasound probe on the template image during ultrasound inspection of the patient; Step S200: setting a patient who has undergone the ultrasound examination item as a target patient, acquiring ultrasound examination history data of the target patient, extracting common features of ultrasound images of the ultrasound examination item, and composing a feature reference image with the common features; Step S300: collecting state information of the ultrasonic probe in the target detection area, composing the state information into a state sequence, and calculating a first evaluation coefficient of various ultrasonic probe states by the difference of state holding time; Step S400: collecting a current ultrasound image of a target patient undergoing the ultrasound examination item, removing common features from the current ultrasound image to obtain a target image, and evaluating the clarity evaluation value of the target image under different states of the ultrasound probe; Step S500: obtaining the ultrasonic transmission power and holding time of the ultrasonic probe in different states when the ultrasonic examination item is currently being performed, and taking the ratio of the image clarity evaluation value to the input energy as the second evaluation coefficient of the ultrasonic probe state; Step S600: Calculate the state parameters of each state of the ultrasound probe according to the first evaluation coefficient and the second evaluation coefficient, select several states of the ultrasound probe as reference states, and push the ultrasound probe state to relevant ultrasound examination operators when the same patient undergoes an ultrasound examination of the aforementioned ultrasound examination item again.

2. The method for controlling ultrasonic therapy based on medical imaging data according to claim 1, characterized in that: Step S100 includes: Step S101: During an ultrasonic inspection, the relative position between the ultrasonic probe and the inspection object is sampled to obtain N0 sampling positions, and the sampling positions obtained by each sampling are mapped to a template image; Step S102: rasterize the template image to obtain m unit management areas, calculate the average sampling density ρ0, where ρ0=N0 / m; calculate the regional sampling density ρk of the k-th unit management area, ρk=Nk / Dk, where Nk represents the number of sampling positions of the k-th unit management area, and Dk represents the area of ​​the k-th unit management area; Step S103: select a unit management area with a regional sampling density greater than the average sampling density as a target management area, mark the target management area from the actual ultrasound image of the patient, and combine all target management areas in the same ultrasound image into a target detection area.

3. The method for controlling ultrasonic therapy based on medical imaging data according to claim 2, characterized in that: Step S200 includes: Step S201: obtaining the i-th examination record of the ultrasound examination item of the target patient, and obtaining n ultrasound images from the i-th examination record; Step S202: Extract the common features of n ultrasound images and obtain the feature reference image P ref .

4. The method for controlling ultrasound therapy based on medical imaging data according to claim 3, characterized in that: Step S300 includes: Step S301: a unit time interval is set, and at each unit time interval, the angle between the ultrasonic probe and the horizontal position and the pressure between the ultrasonic probe and the contact surface are collected to obtain an ultrasonic probe state; Step S302: Arrange the ultrasound probe states according to the order of acquisition time to obtain a state sequence, obtain any three consecutive ultrasound probe states in the state sequence and record them as st1, st2 and st3 respectively, record the time period from the end of st1 to the end of st2 as the holding time t2 of st2, and record the time period from the end of st2 to the end of st3 as the holding time t3 of st3; Step S303: Calculate the relative reference coefficient f32 of st3 relative to st2, f32 = t3-t2, merge the ultrasound probe state with the same state sequence as st3 into the ultrasound probe state type type3, take the average value of the reference coefficients of all ultrasound probe states in type3 relative to the previous ultrasound probe state, and obtain the first evaluation coefficient α of the ultrasound probe state in type3.

5. The method for controlling ultrasonic therapy based on medical imaging data according to claim 4, characterized in that: Step S400 includes: Step S401: Obtain an ultrasonic image Px of the ultrasonic probe in a certain ultrasonic probe state stx, remove the common features in Pref from Px, and obtain a target image P corresponding to stx tar x ; Step S402: The target image P tar x Converted into a grayscale image, by calculating the target image P tar x The change gradient of the pixel gray value in the corresponding gray image is used to obtain the target image P tar x The clarity rating G tar x .

6. The method for controlling ultrasonic therapy based on medical imaging data according to claim 5, characterized in that: Step S500 includes: Step S501: when the target patient is currently undergoing the ultrasound examination project, the ultrasound transmission power Wx of the ultrasound probe state stx and the holding time tx of stx are obtained, and the ultrasound input energy Jx is calculated, where Jx=Wx·tx; Step S502: Calculate the second evaluation coefficient βx of the ultrasonic probe state stx, βx=G tar x / Jx.

7. The method for controlling ultrasonic therapy based on medical imaging data according to claim 6, characterized in that: Step S600 includes: Step S601: Calculate the state parameter ηx of the ultrasonic probe state stx, ηx=αx·βx, where αx represents the first evaluation coefficient corresponding to the ultrasonic probe state stx; Step S602: summing the state parameters of the same ultrasound probe state, arranging the various states from large to small according to the state parameters, and selecting the first h ultrasound probe states as the ultrasound probe states.

8. An ultrasonic therapy control system applied to the ultrasonic therapy control method based on medical imaging data as claimed in any one of claims 1 to 7, characterized in that: The system includes the following modules: a target detection area management module, a feature reference image management module, a first evaluation coefficient calculation module, a clarity evaluation value calculation module, a second evaluation coefficient calculation module and an information management module, wherein the target detection area management module is used to select a target detection area from a template image, the feature reference image management module is used to obtain common features and compose a feature reference image with the common features, the first evaluation coefficient calculation module is used to calculate a first evaluation coefficient of an ultrasound probe state, the clarity evaluation value calculation module is used to evaluate the clarity of a target image, the second evaluation coefficient calculation module is used to calculate a second evaluation coefficient of an ultrasound probe state, and the information management module is used to screen the ultrasound probe state and push information.

9. The ultrasonic therapy control system according to claim 8, characterized in that: The target detection area management module includes: a template image management unit, a sampling density calculation unit and an area selection unit, wherein the template image management unit is used to manage the template image of the ultrasonic inspection object, the sampling density calculation unit is used to calculate the ultrasonic probe state, and the area selection unit is used to select the target detection area from the ultrasonic image; The feature reference image management module includes: an inspection record acquisition unit and a feature reference image management unit, wherein the inspection record acquisition unit is used to acquire several ultrasound images of the same ultrasound inspection item, and the feature reference image management unit is used to acquire common features from several ultrasound images to form a feature reference image.

10. The ultrasonic therapy control system according to claim 8, characterized in that: The first evaluation coefficient calculation module includes: a state acquisition unit, a holding time calculation unit and a first evaluation coefficient calculation unit, wherein the state acquisition unit is used to acquire state data of the ultrasound probe, the holding time calculation unit is used to calculate the holding time between two ultrasound probe states, and the first evaluation coefficient calculation unit is used to calculate the first evaluation coefficient; The clarity evaluation value calculation module includes: a target image management unit and a clarity evaluation unit, wherein the target image management unit is used to obtain a target image corresponding to the state of the ultrasound probe, and the clarity evaluation unit is used to calculate the clarity evaluation value of the target image; The second evaluation coefficient calculation module includes: an input energy calculation unit and a second evaluation coefficient calculation unit, wherein the input energy calculation unit is used to calculate the input energy of the ultrasound probe state, and the second evaluation coefficient calculation unit is used to calculate the second evaluation coefficient of the ultrasound probe state; The information management module includes: a state parameter calculation unit, a screening unit and an information push unit, wherein the state parameter calculation unit is used to calculate the state parameters of the ultrasound probe state, the screening unit is used to screen the ultrasound probe state, and the information push unit is used to push the ultrasound probe state to relevant ultrasound inspection operators.

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