CN113017857B - Positioning method, positioning device, computer equipment and storage medium - Google Patents
Positioning method, positioning device, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to a positioning method, a computer device and a storage medium. The method comprises the steps of obtaining an initial positioning coordinate corresponding to a positioning image of an object to be scanned, obtaining a behavior positioning offset corresponding to current scene information from a preset behavior database, adjusting the initial positioning coordinate to obtain an adjusted positioning offset, and finally determining a target positioning coordinate corresponding to the image of the object to be scanned according to the adjusted positioning offset, the behavior positioning offset and the initial positioning coordinate. The positioning method realizes self-adaptive positioning aiming at the behavior habits or preferences of the users because the behavior positioning offset of the users obtained after the positioning of the structural feature points of the positioning images is manually intervened every time and is stored in the behavior database, namely the behavior habits or the preferences of the users are represented.
Description
Technical Field
The present application relates to the field of medical image processing technologies, and in particular, to a positioning method, an apparatus, a computer device, and a storage medium.
Background
In the medical field, the image scanning workflow of a patient is a relatively mature technology for automatic slice positioning based on the anatomical structure of a human body through an image recognition algorithm.
The existing flow of the automatic slice positioning technology comprises the following steps: the method includes the steps of acquiring a positioning image of a scanned object, wherein the positioning image can be an image scanned by Magnetic Resonance (MR) or Computed Tomography (CT), or can be an image acquired by a camera, acquiring specific mark points by artificial identification based on the positioning image, calculating positioning coordinates of different scanning directions according to the mark points, manually judging whether the positioning coordinates are accurate by an operator, manually adjusting the positioning coordinates if the positioning coordinates are not accurate, and finally acquiring the image of the scanned object by using the adjusted positioning coordinates.
However, the above positioning method has a problem of inaccurate positioning when facing different users due to different habits of each operator and inconsistent definition rules of relative positions of tissue structures in slice images for different hospitals.
Disclosure of Invention
In view of the above, it is necessary to provide a positioning method, a computer device and a storage medium capable of adaptively positioning according to the behavior habit or preference of the user.
In a first aspect, a method of positioning, the method comprising:
acquiring initial positioning coordinates corresponding to a positioning image of an object to be scanned;
acquiring a behavior positioning offset corresponding to current scene information from a preset behavior database;
adjusting the initial positioning coordinate to obtain an adjusted positioning offset;
and determining a target positioning coordinate according to the adjusted positioning offset, the behavior positioning offset and the initial positioning coordinate.
In one embodiment, the determining, according to the adjusted positioning offset, the behavior positioning offset, and the initial positioning coordinate, a target positioning coordinate corresponding to an image of the object to be scanned is acquired includes:
determining a target positioning offset according to the adjusted positioning offset and the behavior positioning offset;
and determining the sum of the target positioning offset and the initial positioning coordinate as the target positioning coordinate.
In one embodiment, the determining a target positioning offset according to the adjusted positioning offset and the behavior positioning offset includes:
judging whether the difference between the adjusted positioning offset and the behavior positioning offset is smaller than a preset threshold value or not;
if the target positioning offset is smaller than the target positioning offset, determining the behavior positioning offset as the target positioning offset;
and if not, determining the target positioning offset according to the adjustment positioning offset and the behavior positioning offset.
In one embodiment, the determining the target positioning offset according to the adjusted positioning offset and the behavior positioning offset includes:
acquiring a historical positioning offset set corresponding to the current scene information;
calculating a variance of the adjusted positioning offset and the set of historical positioning offsets;
if the variance is smaller than a preset variance threshold, adding the adjusted positioning offset into the historical positioning offset set, and calculating according to the added historical positioning offset set to obtain the target positioning offset;
and if the variance is larger than or equal to the preset variance threshold, determining the behavior positioning offset as the target positioning offset.
In one embodiment, the calculating the target positioning offset according to the added historical positioning offset set includes:
and calculating the average offset of all the positioning offsets in the added historical positioning offset set, and determining the average offset as the target positioning offset.
In one embodiment, the adding the adjusted positioning offset to the set of historical positioning offsets includes:
determining a number of positioning offsets included in the set of historical positioning offsets;
if the number is larger than a preset number threshold, after part of positioning offsets in the historical positioning offset set are deleted, adding the adjusted positioning offsets into the historical positioning offset set;
if the number is not greater than a preset threshold, adding the adjusted positioning offset to the historical set of positioning offsets.
In one embodiment, after the target positioning offset is calculated according to the added historical positioning offset set, the method further includes:
and storing the added historical positioning offset set, and updating the behavior positioning offset corresponding to the current scene information in the behavior database according to the target positioning offset.
In one embodiment, the scene information includes at least one of a scanning part, a positioning direction, a type of scanning device, an operation technology number, disease information, and patient information for scanning the object to be scanned.
In a second aspect, a positioning apparatus, the apparatus comprising:
the first acquisition module is used for acquiring initial positioning coordinates corresponding to a positioning image of an object to be scanned;
the second acquisition module is used for acquiring the behavior positioning offset corresponding to the current scene information from a preset behavior database;
the adjusting module is used for adjusting the initial positioning coordinate to obtain an adjusted positioning offset;
and the positioning module is used for determining a target positioning coordinate according to the adjusted positioning offset, the behavior positioning offset and the initial positioning coordinate.
In a third aspect, a computer device comprises a memory and a processor, the memory stores a computer program, and the processor implements the method of the first aspect when executing the computer program.
In a fourth aspect, a computer-readable storage medium has stored thereon a computer program which, when executed by a processor, implements the method of the first aspect described above.
According to the positioning method, the positioning device, the computer equipment and the storage medium, the initial positioning coordinate corresponding to the positioning image of the object to be scanned is obtained, the behavior positioning offset corresponding to the current scene information is obtained from the preset behavior database, the initial positioning coordinate is adjusted to obtain the adjusted positioning offset, and finally the target positioning coordinate corresponding to the image of the object to be scanned is determined and collected according to the adjusted positioning offset, the behavior positioning offset and the initial positioning coordinate. The positioning method realizes self-adaptive positioning aiming at the behavior habits or preferences of the users because the behavior positioning offset of the users obtained after the positioning of the structural feature points of the positioning images is manually intervened every time and is stored in the behavior database, namely the behavior habits or the preferences of the users are represented. In addition, the positioning method combines the behavior positioning offset corresponding to the scene information and the adjusted positioning offset adjusted by the user after the user automatically positions the computer equipment to determine the target positioning coordinate used in finally acquiring the image, determines the target positioning coordinate from different dimensions, and can improve the accuracy of the final positioning result.
Drawings
Fig. 1 is a schematic structural diagram of an application system of the positioning method in one embodiment;
FIG. 2 is a flow diagram illustrating a positioning method in one embodiment;
FIG. 3 is a flowchart illustrating an implementation of S104 in the embodiment of FIG. 2;
FIG. 4 is a flowchart illustrating an implementation manner of S201 in the embodiment of FIG. 3;
FIG. 5 is a flowchart illustrating an implementation manner of S303 in the embodiment of FIG. 4;
FIG. 6 is a flowchart illustrating an implementation manner of S403 in the embodiment of FIG. 5;
FIG. 7 is a schematic flowchart of another implementation manner of S303 in the embodiment of FIG. 4;
FIG. 8 is a flow diagram illustrating a positioning method in one embodiment;
FIG. 9 is a block diagram of the positioning device in one embodiment;
FIG. 10 is a block diagram of the positioning device in one embodiment;
FIG. 11 is a block diagram of the positioning apparatus in one embodiment;
FIG. 12 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application.
The positioning method provided by the application can be applied to an application system as shown in fig. 1. Wherein the scanning device 102 (imaging device) is in communication with the computer device 104. The scanning device 102 is configured to scan a target for imaging, and transmit a positioning image to the computer device 104 before imaging, the computer device 104 may perform slice positioning according to the acquired positioning image, so as to obtain positioning coordinates in different directions, and then transmit the positioning coordinates to the scanning device 102, and the scanning device 102 may scan and image the target according to the positioning coordinates in different directions, so as to obtain an image of the target. It should be noted that the scanning device 102 may be, but is not limited to, various types of Imaging devices, such as a Magnetic Resonance Imaging (MRI) device, a Computed Tomography (CT) device, and the like; the computer device 104 may be, but is not limited to, a personal computer, a laptop, a smartphone, a tablet, a portable wearable device, and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 1 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the applications to which the disclosed aspects may be applied, and that a particular application may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, as shown in fig. 2, a positioning method is provided, which is described by taking the method as an example for being applied to the terminal in fig. 1, and includes the following steps:
s101, obtaining initial positioning coordinates corresponding to a positioning image of an object to be scanned.
The object to be scanned may be different parts of a human body, such as a head, an upper body, a lower body, a hand, a leg, etc., or different tissue structures of the human body, such as a liver, a kidney, a heart, etc., which is not limited herein. The positioning image may be a scanning positioning image before imaging by a magnetic resonance apparatus, a CT apparatus, or the like, or may be an image acquired by a camera, which is not limited herein. And acquiring mark points of the specific structure through an identification algorithm or artificial identification based on the positioning image, and finally calculating specific positioning coordinates aiming at different scanning directions of the specific structure through the mark points, namely the initial positioning coordinates of the positioning image. It can also be considered that the initial positioning coordinates are positioning coordinates output after the scanning device automatically positions the object to be scanned by using a positioning algorithm.
Specifically, the magnetic resonance or CT apparatus may perform positioning scanning on an object to be scanned to obtain a positioning image, and transmit the positioning image to the computer apparatus, where the computer apparatus identifies the structural feature points in the positioning image by using a corresponding identification algorithm or a trained identification network, and uses the coordinates of each identified structural feature point as initial positioning coordinates corresponding to the positioning image; optionally, when the positioning image is obtained, the computer device may also obtain operation information that the user marks on the structural feature point on the positioning image, further obtain a marker point manually on the positioning image according to the operation information of the user, and further determine the coordinate of each marker point as the initial positioning coordinate corresponding to the positioning image. For example, a magnetic resonance device is used to scan an object to be scanned to obtain a positioning image of the head, and then an image of a structural feature point in the head, such as the mouth, or eyes, or nose, is correspondingly identified through an identification algorithm or an identification network, so as to obtain initial positioning coordinates of the mouth, or eyes, or nose.
It should be noted that, when the computer device uses the recognition network to recognize the structural feature points in the positioning image, the steps of training the recognition network and verifying the recognition network may be performed in advance. In the training process, a certain number of specific part positioning images (such as head images) can be collected, structural feature points (such as structural feature points of the mouth) are manually marked to generate a learning image set, the learning image set is input into a recognition network to be trained for training, and the trained recognition network is obtained. In the process of verifying the trained identification network, the computer equipment acquires a verification image set, manually marks the structural feature points of all images in the verification image set by using the same standard, inputs the verification image set into the trained identification network for verification to obtain a verification result, compares the verification result with the result of manual marking to obtain a comparison result, if the comparison result shows that the consistency ratio of the verification result and the result of manual marking is too low, needs to add a learning sample, returns to the training stage again for iterative training until the consistency ratio of the verification result and the result of manual marking meets the expected requirement, and finally obtains the identification network which is the identification network capable of being used in the later stage. In the process of using the identification network, after the computer equipment acquires the positioning image, the positioning image can be directly input into the identification network to obtain the initial positioning coordinate of the positioning image.
And S102, acquiring a behavior positioning offset corresponding to the current scene information from a preset behavior database.
The scene information comprises at least one of a scanning part, a positioning direction, a scanning equipment type, an operation technology number, disease information and patient information of a scanning object to be scanned. The behavior positioning offset is an offset between a positioning coordinate obtained by manually intervening and manually positioning the structural feature points in the positioning image and a positioning result obtained by automatically positioning the structural feature points relative to the computer equipment. The behavior database is used for storing behavior positioning offsets corresponding to various scene information, specifically actual offsets of user intervention automatic positioning, namely behavior positioning offsets of the user, which are acquired by the computer equipment after manual intervention is performed on the positioning image manually.
Specifically, the computer device may obtain current scene information according to the relevant information of the object to be scanned and relevant scanning parameters of the scanning device, and further obtain a corresponding behavior positioning offset from the behavior database according to the current scene information. It should be noted that the correspondence between the scene information and the behavior positioning offset is recorded in advance and stored in the behavior database for being called.
S103, adjusting the initial positioning coordinate to obtain the adjusted positioning offset.
When the computer device obtains the initial positioning coordinate of the positioning image, the initial positioning coordinate can be further adjusted, and specifically, the initial positioning coordinate can be manually adjusted according to the behavior habit of the user. It should be noted that, the computer device may display the initial positioning coordinate of the positioning image in the form of a positioning frame, and accordingly, when adjusting the initial positioning coordinate, the user may adjust the initial positioning coordinate by adjusting the size of the positioning frame, and the coordinate of the difference between the coordinate of the positioning frame after the adjustment and the initial positioning coordinate is the adjustment positioning offset.
And S104, determining a target positioning coordinate corresponding to the image of the object to be scanned according to the adjusted positioning offset, the behavior positioning offset and the initial positioning coordinate.
The target positioning image is a positioning coordinate which is actually used when scanning equipment such as later-stage magnetic resonance or CT (computed tomography) equipment collects an image of an object to be scanned. Specifically, when the computer device obtains the adjusted positioning offset, the behavior positioning offset and the initial positioning coordinate, the offset for correcting the initial positioning coordinate may be further determined according to the adjusted positioning offset and the behavior positioning offset, and when the determination is specifically made, the computer device may determine whether the adjusted positioning offset or the behavior positioning offset is used as the offset for correcting the initial positioning coordinate according to a preset selection condition; optionally, the computer device may further perform a mean operation on the adjusted positioning offset and the behavior positioning offset, and use an operation result as an offset for correcting the initial positioning coordinate. When the offset for correcting the initial positioning coordinate is determined by the computer device, the initial positioning coordinate may be corrected by using the corrected offset, for example, the initial positioning coordinate and the corrected offset are summed to obtain a coordinate, which is the target positioning coordinate, or the initial positioning coordinate and the corrected offset are weighted, accumulated, and summed to obtain a coordinate, which is the target positioning coordinate. Then, the computer device may send the target positioning coordinates to the imaging device or the scanning device, and instruct the scanning device or the imaging device to acquire an image of the object to be scanned according to the target positioning coordinates.
The positioning method disclosed in the above embodiment obtains the initial positioning coordinate corresponding to the positioning image of the object to be scanned, obtains the behavior positioning offset corresponding to the current scene information from the preset behavior database, adjusts the initial positioning coordinate to obtain the adjusted positioning offset, and finally determines the target positioning coordinate corresponding to the image of the object to be scanned according to the adjusted positioning offset, the behavior positioning offset and the initial positioning coordinate. The positioning method realizes self-adaptive positioning aiming at the behavior habits or preferences of the users because the behavior positioning offset of the users obtained after the positioning of the structural feature points of the positioning images is manually intervened every time and is stored in the behavior database, namely the behavior habits or the preferences of the users are represented. In addition, the positioning method combines the behavior positioning offset corresponding to the scene information and the adjusted positioning offset adjusted by the user after the user automatically positions the computer equipment to determine the target positioning coordinate used in finally acquiring the image, determines the target positioning coordinate from different dimensions, and can improve the accuracy of the final positioning result.
In an embodiment, an implementation of the above S104 is provided, and as shown in fig. 3, the above S104 "determining a target positioning coordinate corresponding to acquiring an image of an object to be scanned according to the adjusted positioning offset, the behavior positioning offset, and the initial positioning coordinate" includes:
s201, determining a target positioning offset according to the adjusted positioning offset and the behavior positioning offset.
The target positioning offset is a relative coordinate offset between the finally determined target positioning coordinate and the initial positioning coordinate, that is, a coordinate offset used when the initial positioning coordinate of the positioning image is corrected. Specifically, the computer device may select whether to use the adjustment positioning offset or the behavior positioning offset as the target positioning offset to correct the initial positioning coordinate according to a preset selection condition; optionally, the computer device may directly correct the initial positioning coordinate by using the adjusted positioning offset as the target positioning offset; the computer device can also directly take the behavior positioning offset as a target positioning offset to correct the initial positioning coordinate. It should be noted that the preset selection condition may be determined in advance by the computer device according to an actual situation, for example, the preset selection condition may be that whether the positioning offset and the behavior positioning offset are adjusted within a preset offset range, and the positioning offset within the preset offset range is determined as the target positioning offset, where the preset offset range may be obtained in advance according to an empirical value or information of a user.
And S202, determining the sum of the target positioning offset and the initial positioning coordinate as a target positioning coordinate.
After the computer device obtains the target positioning offset and the initial positioning coordinate, the initial positioning coordinate and the target positioning offset can be added and calculated, and the calculation result is used as the target positioning coordinate, so that the computer device sends the target positioning coordinate to the scanning device, and the scanning device is instructed to scan the object to be scanned according to the target positioning coordinate, and the image of the object to be scanned is obtained.
The target positioning offset in the method is determined by adjusting the positioning offset and the behavior positioning offset, so that the behavior habit or preference of a user is represented, the target positioning offset is added on the basis of the initial positioning coordinate, which is equivalent to self-adaptive positioning according to the behavior habit or preference of the user, and the finally obtained target positioning coordinate is more in line with the positioning requirement of the user.
In an embodiment, as shown in fig. 4, the step S201 specifically includes:
s301, determining whether a difference between the adjusted positioning offset and the behavior positioning offset is smaller than a predetermined threshold, if so, performing step S302, and if not, performing step S303.
The preset threshold is used for judging whether the behavior positioning offset stored in the behavior database needs to be updated according to the adjustment positioning offset, if the difference between the adjustment positioning offset and the behavior positioning offset is smaller than the preset threshold, the adjustment positioning offset is basically consistent with the behavior positioning offset, the current adjustment behavior of the user accords with the habit of the user, and the behavior positioning offset in the behavior database does not need to be updated; if the difference between the positioning offset and the behavior positioning offset is not less than the preset threshold, it indicates that the adjustment positioning offset is inconsistent with the behavior positioning offset, that is, the current adjustment behavior of the user is different from the behavior habit used by the user, and the behavior positioning offset in the behavior database needs to be updated according to the current behavior habit of the user, so that the behavior positioning offset in the behavior database can be continuously updated, and each updated behavior offset can represent the behavior habits of more users, and further, the target positioning coordinate calculated based on the behavior positioning offset in the behavior database can better meet the requirement of each user and be more accurate.
And S302, determining the behavior positioning offset as a target positioning offset.
The embodiment relates to an application scenario in which a computer determines that a difference between an adjustment positioning offset and a behavior positioning offset is smaller than a preset threshold, and in the application scenario, because the adjustment positioning offset is basically consistent with the behavior positioning offset, computer equipment can directly determine the behavior positioning offset as a target positioning offset; optionally, in this scenario, the computer device may also directly determine the adjusted positioning offset as the target positioning offset.
And S303, determining a target positioning offset according to the adjusted positioning offset and the behavior positioning offset.
In the application scenario, because the adjustment positioning offset is different from the behavior positioning offset, the computer device needs to further determine, according to a preset selection condition, whether to use the adjustment positioning offset or the behavior positioning offset as the target positioning offset, or calculate a new positioning offset according to the adjustment positioning offset and the behavior positioning offset, and determine the new positioning offset as the target positioning offset. Further, in step S303, "determining a target positioning offset according to the adjusted positioning offset and the behavior positioning offset", as shown in fig. 5, the method specifically includes:
s401, acquiring a historical positioning offset set corresponding to the current scene information.
The historical positioning offset set comprises behavior positioning offsets which are stored when each user uses the equipment to perform positioning each time in historical time and can represent behavior habits or preferences of the user. Specifically, when the computer device acquires the current context information, the historical positioning offset corresponding to the current context information may be further acquired from the behavior database for later use. It should be noted that a scene information corresponds to a historical positioning offset set, and all the historical positioning offset sets include behavior positioning offsets of users in different historical time periods under the scene information. The behavior database stores a plurality of scene information and historical positioning offset sets corresponding to the scene information.
S402, calculating the variance between the adjusted positioning offset and the historical positioning offset set, if the variance is smaller than a preset variance threshold, executing the step S403, and if the variance is larger than or equal to the preset variance threshold, executing the step S404.
The preset variance threshold is used for measuring whether the adjusted positioning offset can represent the effective behavior deviation of the current user, if the variance between the adjusted positioning offset and the historical positioning offset set is smaller than the preset variance threshold, the adjusted positioning offset can represent the effective behavior deviation of the current user, and at this moment, the historical positioning offset set needs to be updated according to the effective behavior deviation capable of representing the current user; if the variance between the adjustment positioning offset and the historical positioning offset set is not smaller than the preset variance threshold, the adjustment of the user at this time belongs to an example, the repeatability is not achieved, and the adjustment behavior of the user at this time can be ignored.
And S403, adding the adjusted positioning offset into the historical positioning offset set, and calculating to obtain the target positioning offset according to the added historical positioning offset set.
The embodiment relates to an application scenario in which a computer device determines that a variance between an adjusted positioning offset and a historical positioning offset set is smaller than a preset variance threshold, in this scenario, the computer device needs to update the historical positioning offset set, during specific updating, the adjusted positioning offset can be added to the historical positioning offset set, and then a target positioning offset is calculated according to the added historical positioning offset set. Optionally, the computer device may also replace any offset in the historical positioning offset set with the adjusted positioning offset to generate a new historical positioning offset set, and then calculate the target positioning offset according to the new historical positioning offset set.
And S404, determining the behavior positioning offset as a target positioning offset.
The embodiment relates to an application scenario in which a computer determines that a variance between an adjusted positioning offset and a historical positioning offset set is not less than a preset variance threshold, and in this scenario, computer equipment ignores the adjusted positioning offset and directly determines a behavior positioning offset obtained before as a target positioning offset.
According to the method, whether the historical positioning offset set is updated by using the adjusted positioning offset is determined by judging the variance between the adjusted positioning offset and the historical positioning offset set, so that the influence of abnormal adjusted positioning offset on positioning can be avoided, and the positioning accuracy is improved.
Optionally, an implementation manner of the foregoing S403 is provided, and as shown in fig. 6, the "adding the adjusted positioning offset amount to the historical positioning offset amount set" in the foregoing S403 specifically includes:
s501, determining the number of positioning offsets included in the historical positioning offset set, if the number is greater than a preset number threshold, executing step S502, and if the number is not greater than the preset number threshold, executing step S503.
Wherein, the preset number threshold is used for measuring the storage capacity of the behavior database. When the computer device is ready to add the adjusted positioning offset amount to the historical positioning offset amount set, it may be determined whether the number of positioning offset amounts included in the historical positioning offset amount set is greater than a preset data threshold value, and if the number of positioning offset amounts included in the historical positioning offset amount set is greater than the preset number threshold value, it is indicated that the historical positioning offset amount set is saturated, and some data in the historical positioning offset amount set may be removed and new data may be added; if the number of the positioning offsets contained in the historical positioning offset set is not greater than the preset number threshold, it indicates that new data can be added to the historical positioning offset set. Generally, the positioning offsets contained in the historical positioning offset set are all positioning offsets updated in a recent time period, so that a certain data size needs to be maintained and the latest positioning offsets need to be stored, the storage space can be effectively utilized, the efficiency of querying data in the historical positioning offset set in a later period can be improved, and the problems of difficulty in reading data and the like caused by huge data size are solved.
And S502, after part of the positioning offset in the historical positioning offset set is deleted, adding the adjusted positioning offset into the historical positioning offset set.
The embodiment relates to an application scenario in which the computer device determines that the number of positioning offsets included in the historical positioning offset set is greater than a preset number threshold, and in this application scenario, the computer device may directly delete part of the positioning offsets in the historical positioning offset set, and then add the obtained adjusted positioning offsets to the historical positioning offset set to obtain a new historical positioning offset set.
And S503, adding the adjusted positioning offset into the historical positioning offset set.
Optionally, an implementation manner of the foregoing S403 is provided, where the "calculating a target positioning offset according to the added historical positioning offset set" in S403 specifically includes: and calculating the average offset of all the positioning offsets in the added historical positioning offset set, and determining the average offset as the target positioning offset.
Specifically, after the computer device adds the adjusted positioning offset to the historical positioning offset set, the average of all the positioning offsets in the added historical positioning offset set may be further calculated to obtain an average offset of all the positioning offsets, and then the average offset is directly determined as the target positioning offset; optionally, the computer device may also perform weighted accumulation and operation on all the positioning offsets in the added historical positioning offset set, perform mean value operation to obtain an average offset, and determine the average offset as the target positioning offset. It should be noted that, when performing weighted accumulation and operation on all the positioning offset amounts, the weight of each positioning offset amount may be determined according to the acquisition time of each positioning offset amount, the farther the acquisition time of each positioning offset amount is from the current time, the smaller the weight may be set, and the closer the acquisition time of each positioning offset amount is to the current time, the larger the weight may be set. In the positioning process, more reference is made to the positioning offset of the recent user, so that the positioning result can be more suitable for the behavior habit and preference of the new user.
In practical applications, after the computer device calculates the target positioning offset according to the updated historical positioning offset set, the behavior database may be further updated, that is, after the computer device performs the above step S403, as shown in fig. 7, the method further performs the following steps:
and S405, storing the added historical positioning offset set, and updating the behavior positioning offset corresponding to the current scene information in the behavior database according to the target positioning offset.
The behavior database stores a historical positioning offset set and behavior positioning offsets corresponding to each scene information. In the process of performing positioning by the computer device each time, after the historical positioning offset set is updated, the behavior positioning offset corresponding to the current scene information needs to be updated according to the positioning offset in the updated historical positioning offset set, that is, the behavior positioning offset corresponding to the current scene information stored in the original behavior database is replaced by the target positioning offset calculated according to the updated historical positioning offset set, so as to update the behavior positioning offset corresponding to each scene information in real time, so that the behavior positioning offset stored in the behavior database is properly adjusted, and further the positioning accuracy of positioning based on the behavior positioning offset is improved.
In summary of all the above embodiments, the present application further provides a positioning method, as shown in fig. 8, the method includes:
s601, acquiring initial positioning coordinates corresponding to a positioning image of an object to be scanned.
And S602, acquiring a behavior positioning offset corresponding to the current scene information from a preset behavior database.
S603, adjusting the initial positioning coordinate to obtain the adjusted positioning offset.
S604, determining whether the difference between the adjusted positioning offset and the behavior positioning offset is smaller than a predetermined threshold, if so, performing step S605, and if not, performing step S606.
And S605, determining the behavior positioning offset as a target positioning offset.
And S606, acquiring a historical positioning offset set corresponding to the current scene information.
S607, calculating the variance between the adjusted positioning offset and the historical positioning offset set, if the variance is less than the preset variance threshold, executing steps S608-S611, and if the variance is greater than or equal to the preset variance threshold, executing step S612.
S608, determining the number of positioning offsets included in the historical positioning offset set, if the number is greater than a preset number threshold, performing step S609, and if the number is not greater than a preset threshold, performing step S610.
And S609, after deleting part of the positioning offset in the historical positioning offset set, adding the adjusted positioning offset into the historical positioning offset set.
S610, adding the adjusted positioning offset into the historical positioning offset set.
And S611, calculating to obtain the target positioning offset according to the added historical positioning offset set.
And S612, determining the behavior positioning offset as a target positioning offset.
And S613, storing the added historical positioning offset set, and updating the behavior positioning offset corresponding to the current scene information in the behavior database according to the target positioning offset.
And S614, determining the sum of the target positioning offset and the initial positioning coordinate as a target positioning coordinate.
For the description of the above steps, refer to the foregoing contents, which are not repeated herein.
It should be understood that although the various steps in the flow charts of fig. 2-8 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-8 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In one embodiment, as shown in fig. 9, there is provided a positioning device comprising: a first obtaining module 11, a second obtaining module 12, an adjusting module 13 and a positioning module 14, wherein:
the first obtaining module 11 is configured to obtain an initial positioning coordinate corresponding to a positioning image of an object to be scanned.
The second obtaining module 12 is configured to obtain a behavior positioning offset corresponding to the current scene information from a preset behavior database.
And the adjusting module 13 is configured to adjust the initial positioning coordinate to obtain an adjusted positioning offset.
And the positioning module 14 is configured to determine a target positioning coordinate according to the adjusted positioning offset, the behavior positioning offset, and the initial positioning coordinate.
In one embodiment, as shown in fig. 10, the positioning module 14 includes:
a first determining unit 141, configured to determine a target positioning offset according to the adjusted positioning offset and the behavior positioning offset;
a second determining unit 142, configured to determine a sum of the target positioning offset and the initial positioning coordinate as the target positioning coordinate.
In one embodiment, as shown in fig. 11, the first determining unit 141 includes:
a determining subunit 1411, configured to determine whether a difference between the adjusted positioning offset and the behavior positioning offset is smaller than a preset threshold;
a first determining subunit 1412, configured to determine the behavior positioning offset as the target positioning offset when a difference between the adjusted positioning offset and the behavior positioning offset is smaller than a preset threshold;
a second determining subunit 1413, configured to determine the target positioning offset according to the adjusted positioning offset and the behavior positioning offset when a difference between the adjusted positioning offset and the behavior positioning offset is not smaller than a preset threshold.
In an embodiment, the second determining subunit 1413 is specifically configured to obtain a historical positioning offset set corresponding to the current scene information; calculating a variance of the adjusted positioning offset and the set of historical positioning offsets; if the variance is smaller than a preset variance threshold, adding the adjusted positioning offset into the historical positioning offset set, and calculating according to the added historical positioning offset set to obtain the target positioning offset; and if the variance is larger than or equal to the preset variance threshold, determining the behavior positioning offset as the target positioning offset.
In an embodiment, the second determining subunit 1413 is further specifically configured to calculate an average offset of all positioning offsets in the added historical positioning offset set, and determine the average offset as the target positioning offset.
In an embodiment, the second determining subunit 1413 is further specifically configured to determine the number of positioning offsets included in the historical positioning offset set; if the number is larger than a preset number threshold, after part of positioning offsets in the historical positioning offset set are deleted, adding the adjusted positioning offsets into the historical positioning offset set; if the number is not greater than a preset threshold, adding the adjusted positioning offset to the historical set of positioning offsets.
In an embodiment, the second determining subunit 1413 is further specifically configured to store the added historical positioning offset set, and update the behavior positioning offset corresponding to the current scene information in the behavior database according to the target positioning offset.
In one embodiment, the scene information includes at least one of a scanning part, a positioning direction, a type of scanning device, an operation technique number, disease information, and patient information for scanning the object to be scanned.
For the specific definition of the positioning device, reference may be made to the above definition of the positioning method, which is not described herein again. The modules in the positioning device can be wholly or partially implemented by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 12. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a positioning method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 12 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring initial positioning coordinates corresponding to a positioning image of an object to be scanned;
acquiring a behavior positioning offset corresponding to current scene information from a preset behavior database;
adjusting the initial positioning coordinate to obtain an adjusted positioning offset;
and determining a target positioning coordinate according to the adjusted positioning offset, the behavior positioning offset and the initial positioning coordinate.
The implementation principle and technical effect of the computer device provided by the above embodiment are similar to those of the above method embodiment, and are not described herein again.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring initial positioning coordinates corresponding to a positioning image of an object to be scanned;
acquiring a behavior positioning offset corresponding to current scene information from a preset behavior database;
adjusting the initial positioning coordinate to obtain an adjusted positioning offset;
and determining a target positioning coordinate according to the adjusted positioning offset, the behavior positioning offset and the initial positioning coordinate.
The implementation principle and technical effect of the computer-readable storage medium provided by the above embodiments are similar to those of the above method embodiments, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), for example.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, and these are all within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (11)
1. A method of positioning, the method comprising:
acquiring initial positioning coordinates corresponding to a positioning image of an object to be scanned; the initial positioning coordinates are the positioning coordinates of each structural feature point in the positioning image in different scanning directions;
acquiring a behavior positioning offset corresponding to current scene information from a preset behavior database; the behavior positioning offset is an offset between positioning coordinates obtained after manually intervening and manually positioning the structural feature points in the positioning image and positioning results obtained after automatically positioning the positioning coordinates relative to computer equipment, wherein the behavior database stores a corresponding relation between scene information and behavior positioning offset;
adjusting the initial positioning coordinate to obtain an adjusted positioning offset;
and determining a target positioning coordinate according to the adjusted positioning offset, the behavior positioning offset and the initial positioning coordinate.
2. The method according to claim 1, wherein the determining, according to the adjusted positioning offset, the behavior positioning offset, and the initial positioning coordinate, a target positioning coordinate corresponding to the image of the object to be scanned, includes:
determining a target positioning offset according to the adjusted positioning offset and the behavior positioning offset;
and determining the sum of the target positioning offset and the initial positioning coordinate as the target positioning coordinate.
3. The method of claim 2, wherein determining a target positioning offset based on the adjusted positioning offset and the behavior positioning offset comprises:
judging whether the difference between the adjusted positioning offset and the behavior positioning offset is smaller than a preset threshold value or not;
if the target positioning offset is smaller than the target positioning offset, determining the behavior positioning offset as the target positioning offset;
and if not, determining the target positioning offset according to the adjustment positioning offset and the behavior positioning offset.
4. The method of claim 3, wherein determining the target positioning offset based on the adjusted positioning offset and the behavior positioning offset comprises:
acquiring a historical positioning offset set corresponding to the current scene information;
calculating a variance of the adjusted positioning offset and the set of historical positioning offsets;
if the variance is smaller than a preset variance threshold, adding the adjusted positioning offset into the historical positioning offset set, and calculating according to the added historical positioning offset set to obtain the target positioning offset;
and if the variance is larger than or equal to the preset variance threshold, determining the behavior positioning offset as the target positioning offset.
5. The method of claim 4, wherein calculating the target positioning offset from the added set of historical positioning offsets comprises:
and calculating the average offset of all the positioning offsets in the added historical positioning offset set, and determining the average offset as the target positioning offset.
6. The method of claim 4, wherein adding the adjusted positioning offset to the set of historical positioning offsets comprises:
determining a number of positioning offsets included in the set of historical positioning offsets;
if the number is larger than a preset number threshold, after part of positioning offsets in the historical positioning offset set are deleted, adding the adjusted positioning offsets into the historical positioning offset set;
if the number is not greater than a preset threshold, adding the adjusted positioning offset to the historical set of positioning offsets.
7. The method of claim 4, wherein after calculating the target positioning offset according to the added historical set of positioning offsets, the method further comprises:
and storing the added historical positioning offset set, and updating the behavior positioning offset corresponding to the current scene information in the behavior database according to the target positioning offset.
8. The method according to any one of claims 1-7, wherein the context information comprises at least one of a scanning location, a positioning direction, a scanning device type, an operation technology number, disease information, and patient information for scanning the object to be scanned.
9. A positioning device, comprising:
the first acquisition module is used for acquiring initial positioning coordinates corresponding to a positioning image of an object to be scanned; the initial positioning coordinates are the positioning coordinates of each structural feature point in the positioning image in different scanning directions;
the second acquisition module is used for acquiring the behavior positioning offset corresponding to the current scene information from a preset behavior database; the behavior positioning offset is an offset between positioning coordinates obtained after manually intervening and manually positioning the structural feature points in the positioning image and positioning results obtained after automatically positioning the positioning coordinates relative to computer equipment, wherein the behavior database stores a corresponding relation between scene information and the behavior positioning offset;
the adjusting module is used for adjusting the initial positioning coordinate to obtain an adjusted positioning offset;
and the positioning module is used for determining a target positioning coordinate according to the adjusted positioning offset, the behavior positioning offset and the initial positioning coordinate.
10. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 8 when executing the computer program.
11. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 8.
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