CN111493911A - Method and device for generating scanning positioning frame and computer equipment - Google Patents
Method and device for generating scanning positioning frame and computer equipment Download PDFInfo
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Abstract
The application relates to a method for generating a scanning positioning frame, wherein the method for generating the scanning positioning frame comprises the following steps: compared with the related art, according to the method for generating the scanning positioning frame, the image of the scanned object is obtained, the biomarker position of the scanned object is identified according to the image, the positioning frame association mark is generated according to the biomarker position, the boundary mark of the scanning positioning frame is determined according to the association mark, and the scanning positioning frame is determined according to the boundary mark, so that the problems that the scanning positioning area is manually adjusted when PET-CT and CT are used in the related art, the manually adjusted scanning positioning area is inaccurate are solved, and the accuracy of the scanning positioning area is improved.
Description
Technical Field
The present application relates to the field of medical imaging, and in particular, to a method and an apparatus for generating a scan positioning frame, and a computer device.
Background
Ct (computed tomography), that is, electronic computed tomography, uses precisely collimated X-ray beams, gamma rays, ultrasonic waves, etc. to scan the cross section of a human body one by one together with a detector with extremely high sensitivity, has the characteristics of fast scanning time, clear image, etc., and can be used for the examination of various diseases. PET-CT perfectly integrates PET and CT, PET provides detailed function and metabolism of focus, CT provides accurate anatomical location of focus, tomographic image of whole body in all directions can be obtained by once imaging, and the PET-CT has the characteristics of sensitivity, accuracy, specificity, accurate location and the like, can clearly understand the whole condition of the whole body, and achieves the purposes of early focus finding and disease diagnosis.
In the related art, generally, before a patient is scanned by PET-CT or CT, a scout image needs to be scanned in advance, then a doctor selects a position and a protocol to be scanned in a scout image view interface, scanning software pops up a default scanning area rectangular frame according to a scanning part and the protocol selected by the doctor, and finally the doctor needs to manually drag the rectangular frame of a scanning area and adjust the size of the rectangular frame according to the specific situation of each patient. Because different patients have great difference in height and body type, the scanning positioning area needs to be manually adjusted when the PET-CT and the CT are used, so that the scanning positioning area is influenced by people, and the problem that the manually adjusted scanning positioning area is inaccurate exists.
At present, aiming at the problem that in the prior art, the PET-CT and the CT need to manually adjust the scanning positioning area when in use, and the manually adjusted scanning positioning area is inaccurate, an effective solution is not provided.
Disclosure of Invention
The embodiment of the application provides a method and a device for generating a scanning positioning frame and computer equipment, which are used for at least solving the problems that in the related art, PET-CT and CT need to manually adjust a scanning positioning area when in use, and the selected scanning area is inaccurate.
In a first aspect, an embodiment of the present application provides a method for generating a scan positioning frame, where the method includes: acquiring an image of a scanned object;
identifying a biological marker bit of the scanning object according to the image, and generating a positioning frame association mark according to the biological marker bit;
determining a boundary mark of a scanning positioning frame according to the association mark;
and determining the scanning positioning frame according to the boundary mark.
In some embodiments, the biomarker sites comprise cranial vertex and canthus lines, and the generating a localization box associated marker from the biomarker sites comprises:
calculating a midpoint between the vertex and the angular line;
and determining the central position of the head according to the position of the midpoint, wherein the central position of the head is an associated mark of the head.
In some embodiments, the biomarker sites include canthus lines, inferior border of body, and femur, and the generating a localization box associated marker from the biomarker sites comprises:
determining a first associated marker of the body according to the position of the angular line;
determining a first midpoint of the femur from the femur, calculating a second midpoint between the first midpoint and the lower edge of the body, and determining a second associated marking of the body from the location of the second midpoint.
In some embodiments, the biomarker comprises angular and inferior somatic margins, and the generating a localization box association marker from the biomarker comprises:
determining a first associated marker of the body according to the position of the angular line;
translating the body inferior edge away from the canthus line to determine a second correlation marker of the body.
In some embodiments, the determining the boundary markers of the scan positioning frame according to the associated markers includes:
determining an upper mark of the scanning positioning frame according to the first associated mark;
and determining a lower boundary mark of the scanning positioning frame according to the second associated mark.
In some of these embodiments, the image of the scanned object includes at least one of: images taken by a camera, images scanned by a scanning device.
In some embodiments, after determining the scan positioning box according to the boundary marker, the method further comprises:
calculating the axial scanning length of the scanning positioning frame according to the upper boundary mark and the lower boundary mark;
and determining the number of scanning beds matched with the positioning length according to the axial scanning length and a preset overlapping scanning range.
In some of these embodiments, after determining the scan localization box of the body from the boundary markers, the method includes:
calculating the axial scanning length of the scanning positioning frame according to the upper boundary mark and the lower boundary mark;
and determining the overlapping scanning range according to the axial scanning length and the preset number of scanning bed bits.
In a second aspect, an embodiment of the present application provides an apparatus for generating a scan positioning frame, where the apparatus includes: the device comprises an acquisition module, an identification module and a generation module:
the acquisition module is used for acquiring an image of a scanning object;
the identification module is used for identifying the biological marker bit of the scanned object according to the image and generating a positioning frame association mark according to the biological marker bit;
and the generation module is used for determining a boundary mark of the scanning positioning frame according to the association mark and determining the scanning positioning frame according to the boundary mark.
In a third aspect, an embodiment of the present application provides a computer device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the processor implements the method for generating a scan positioning frame according to the first aspect.
Compared with the related art, according to the method for generating the scanning positioning frame, the image of the scanned object is obtained, the biomarker position of the scanned object is identified according to the image, the positioning frame association mark is generated according to the biomarker position, the boundary mark of the scanning positioning frame is determined according to the association mark, and the scanning positioning frame is determined according to the boundary mark, so that the problems that the scanning positioning area is manually adjusted when PET-CT and CT are used in the related art, the manually adjusted scanning positioning area is inaccurate are solved, and the accuracy of the scanning positioning area is improved.
The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the application.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a first flowchart of a method for generating a scan positioning frame according to an embodiment of the present application;
FIG. 2 is a flow chart of a method of generating a localization box association marker from a biomarker of a head according to an embodiment of the present application;
FIG. 3 is a flow chart of a method of generating a localization frame association marker from a biomarker of a body portion according to an embodiment of the present application;
FIG. 4 is a flow chart of another method of generating a localization frame association marker from a biomarker of a body portion according to an embodiment of the present application;
FIG. 5 is a flow chart of a method of determining boundary markers of a body scan localization box based on associated markers of the body according to an embodiment of the present application;
FIG. 6 is a flowchart II of a method for generating a scan positioning frame according to an embodiment of the present application;
FIG. 7 is a flowchart III of a method for generating a scan positioning box according to an embodiment of the present application;
FIG. 8 is a block diagram of a scanning positioning frame generation apparatus according to an embodiment of the present application;
fig. 9 is a schematic diagram of an internal structure of a computer device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments provided in the present application without any inventive step are within the scope of protection of the present application.
It is obvious that the drawings in the following description are only examples or embodiments of the present application, and that it is also possible for a person skilled in the art to apply the present application to other similar contexts on the basis of these drawings without inventive effort. Moreover, it should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of ordinary skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.
Unless defined otherwise, technical or scientific terms referred to herein shall have the ordinary meaning as understood by those of ordinary skill in the art to which this application belongs. Reference to "a," "an," "the," and similar words throughout this application are not to be construed as limiting in number, and may refer to the singular or the plural. The present application is directed to the use of the terms "including," "comprising," "having," and any variations thereof, which are intended to cover non-exclusive inclusions; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to the listed steps or elements, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Reference to "a plurality" in this application is intended to mean two or more, and reference to the terms "first," "second," "third," and the like in this application is intended only to distinguish between similar items and not to represent a particular ordering for the items.
The method for generating the scanning positioning frame can be applied to various imaging devices, such as a CT device, an MRI device, a PET device or a combined device. The PET scanning in the PET device adopts positron nuclide as tracer, and the functional metabolic state of the focus is known through the uptake of the tracer at the focus part, so that the correct diagnosis is made on the disease. The CT scanning in CT device adopts X-ray to scan the specific part of human body according to a certain thickness layer, when the X-ray is radiated to the tissue of human body, part of the ray is absorbed by the tissue, and part of the ray is received by the detector after passing through the human body, so as to generate signal. Because the density of various tissues of the human body is different and the penetration capacity of X-rays is different, the rays received by the detector have difference. The received differential ray signal is converted into digital information and processed by a computer to form an image for display, and the image can be used for finding fine lesions at any part in the body. CT can provide high resolution anatomical images with a high degree of sensitivity in detecting changes in tissue morphology, but lacks the ability to further distinguish lesion features. PET-CT perfectly integrates PET and CT, PET provides detailed function and metabolism of focus, CT provides accurate anatomical location of focus, tomographic image of whole body in all directions can be obtained by once imaging, and the PET-CT has the characteristics of sensitivity, accuracy, specificity, accurate location and the like, can clearly understand the whole condition of the whole body, and achieves the purposes of early focus finding and disease diagnosis.
The present embodiment provides a method for generating a scanning positioning frame, and fig. 1 is a first flowchart of a method for generating a scanning positioning frame according to an embodiment of the present application, and as shown in fig. 1, the method includes the following steps:
step S101, acquiring an image of a scanning object; it should be noted that the image of the scanned object may be a natural image captured by a camera or a video camera, or may be an image scanned by a scanning device, and optionally, the scanning device may be a CT device or a PET-CT device. Such as scout images scanned by a CT device.
Step S102, according to the biological marker bit of the image identification scanning object, generating a positioning frame correlation mark according to the biological marker bit; the biomarker is a specific position of a body part of the scanning object, such as a position corresponding to the body part of the scanning object, such as a skull top, a cheekbone and the like; the alignment mark is a mark generated according to the identified biological marker bit and associated with the biological marker bit, namely, the biological marker bit expresses the position information of the scanned object, and the associated mark expresses the position mark information derived from the biological marker bit.
Step S103, determining a boundary mark of the scanning positioning frame according to the association mark; and determining the boundary position of the scanning positioning frame according to the position of the associated mark for marking the body characteristic of the scanning object.
And step S104, determining a scanning positioning frame according to the boundary marks.
Through the steps S101 to S104, the boundary markers can be automatically determined according to the biomarker of the scanned object when the PET-CT and the CT are used, and the scanning positioning frame about the scanned object or the examined person is finally determined, so that the problems that in the related art, the PET-CT and the CT need a doctor to manually drag the rectangular frame of the scanning area and adjust the size of the rectangular frame according to the specific height and body type of each patient when the PET-CT and the CT are used, the manually adjusted scanning positioning area is inaccurate, and the accuracy of the scanning positioning area is improved.
In some embodiments, fig. 2 is a flowchart of a method for generating a localization box association marker according to an embodiment of the present application from a biomarker of a head, as shown in fig. 2, the method comprising the steps of:
step S201, calculating a midpoint between the vertex and the canthus line; it should be noted that the biomarker sites of the head of the scanning subject or the examinee include the cranial vertex and the angular auditory line, alternatively, the coordinate positions of the cranial vertex and the angular auditory line may be obtained according to the identified line, and the midpoint of the Axial direction of the cranial vertex and the angular auditory line is calculated according to the coordinate positions of the line, that is, (Axial cranial vertex + Axial angular line)/2; the distance between the two axial directions can also be obtained according to the identified cranial vertex and the canthus lines, and the midpoint is determined by half of the distance.
Step S202, determining the center position of the head according to the position of the midpoint, wherein the center position of the head is an associated mark of the head; the calculated midpoint position is used as the center position of the head of the scanning object or subject and is also the head related mark, and further, since the head related mark position is the boundary mark of the head scanning positioning frame, the center position of the head can be used as the center position of the head scanning positioning frame, and the head scanning positioning frame can be determined based on the center position of the head scanning positioning frame.
Through steps S201 and S202, the generation of the positioning frame association marker of the head of the scanning object is automatically completed according to the cranial vertex and the canthus line of the head of the scanning object, and the accuracy is high.
In some embodiments, fig. 3 is a flowchart of a method for generating a location box association marker from a biomarker of a body according to an embodiment of the present application, as shown in fig. 3, the method comprising the steps of:
step S301, determining a first association mark of the body according to the position of the canthus line; it should be noted that the biomarker of the body part of the subject includes an angular line, and optionally, the level position of the angular line of the subject is a first related mark on the body part, which is understood as a mark of the body part near the head, and further, the upper landmark of the scan positioning frame of the body part can be determined according to the first related mark.
Step S302, determining a first midpoint of the femur according to the femur, calculating a second midpoint between the first midpoint and a lower edge of the body, and determining a second associated mark of the body according to the position of the second midpoint; the biological marker of the scanned object body also comprises a body lower edge and a femur, after the femur of the scanned object in the image is identified, the length of the femur is obtained, and the first midpoint of the femur of the scanned object, namely the midpoint of the femur, is determined according to the length of the femur. Optionally, the coordinates of the middle point in the axial direction of the first middle point and the coordinates of the middle point in the axial direction of the body lower edge can be calculated according to the coordinate positions of the first middle point and the body lower edge, that is, the coordinates of the second middle point; the distance between the first midpoint and the lower edge of the body in the axial direction may also be obtained, and the midpoint position, that is, the position of the second midpoint, is determined by one half of the distance, and further, the position of the second midpoint is a second associated mark of the body, which may be understood as a body mark of the body away from the head, and further, a lower boundary mark of the scan positioning frame of the body may be determined according to the second associated mark.
Through steps S301 and S302, the second correlation mark of the body to be scanned is generated according to the lower edge of the body and the femur at the position of the body to be scanned in the image, and the first correlation mark of the body to be scanned is completed according to the canthus line at the position of the head of the subject to be scanned in the image, so that the accuracy is high.
In some embodiments, fig. 4 is a flow chart of another method for generating a localization box associated marker from a biomarker of a body according to an embodiment of the present application, as shown in fig. 4, the method comprising the steps of:
step S401, determining a first association mark of the body according to the position of the canthus line; it should be noted that the biomarker of the body part of the subject includes an angular line, and optionally, the level position of the angular line of the subject is the first related mark of the body part, and it is understood that the first related mark is the mark of the body part near the head.
Step S402, translating the lower edge of the body part to a direction away from the canthus line to determine a second correlation mark of the body part; the further biological marker bit of the body of the scanning object further comprises a lower edge of the body, and after the lower edge of the body of the scanning object in the image is identified, the biological marker bit is translated by 10mm in the direction away from the head, and the translated position is the position of the second associated mark of the body, and the second associated mark is understood to be the mark of the body at the position where the body is away from the head.
Through steps S401 and S402, the second correlation mark of the body to be scanned is generated according to the lower edge of the body at the position of the body to be scanned in the image, and the first correlation mark of the body to be scanned is completed according to the canthus line at the position of the head of the subject to be scanned in the image, so that the accuracy is high.
In some embodiments, the scan positioning frame of the scanned object in the image may be a scan positioning frame of the head, a scan positioning frame of the body, or a scan positioning frame of the head and a scan positioning frame of the body generated simultaneously.
In some embodiments, fig. 5 is a flowchart of a method for determining boundary marks of a body scanning positioning frame according to an associated mark of a body according to an embodiment of the present application, as shown in fig. 5, the method includes the following steps:
step S501, determining an upper mark of the scanning positioning frame according to the first correlation mark; the first associated mark is the associated mark of the body part close to the head, and the position of the first associated mark is the upper mark position of the body part scanning positioning frame.
Step S502, determining a lower edge mark of the scanning positioning frame according to the second associated mark; the second associated mark is an associated mark of the body part far away from the head, the position of the second associated mark is the lower edge mark position of the body part scanning positioning frame, and further, the scanning positioning frame of the body part can be determined according to the upper edge mark position and the lower edge mark position of the body part scanning positioning frame.
Through the steps S501 and S502, the upper boundary marker of the scanning positioning frame of the body part and the lower boundary marker of the scanning positioning frame of the body part are determined, and then the scanning positioning frame can be determined according to the upper boundary marker of the scanning positioning frame and the lower boundary marker of the scanning positioning frame.
In some embodiments, fig. 6 is a flowchart ii of a method for generating a scan positioning frame according to an embodiment of the present application, and as shown in fig. 6, the method includes the following steps:
step S601, calculating the axial scanning length of the scanning positioning frame according to the upper boundary mark and the lower boundary mark; the axial scanning length of the scanning positioning frame of the body part can be determined according to the coordinates of the upper boundary mark and the lower boundary mark, or the distance between the upper boundary mark and the lower boundary mark, and the axial scanning length of the scanning positioning frame of the body part can be determined according to the distance between the upper boundary mark and the lower boundary mark.
Step S602, determining the number of scanning bed bits matched with the positioning length according to the axial scanning length and the preset overlapping scanning range; alternatively, the preset overlap scan range may be 25% to 50% of the scan length of the scan bed, and the number of scan bed bits is determined in the case that the scan length of the scan object body and the scan length of the scan bed are known and the overlap scan range is satisfied.
Through steps S601 and S602, the matched number of scanning beds is determined according to the scanning length of the body part of the current scanning object under the condition that the preset overlapping scanning range is satisfied, so as to ensure the scanning effect of the body part of the scanning object.
In some embodiments, fig. 7 is a flowchart three of a method for generating a scan positioning frame according to an embodiment of the present application, and as shown in fig. 7, the method includes the following steps:
step S701, calculating the axial scanning length of the scanning positioning frame according to the upper boundary mark and the lower boundary mark; the axial scanning length of the scanning positioning frame of the body part can be determined according to the coordinates of the upper boundary mark and the lower boundary mark, or the distance between the upper boundary mark and the lower boundary mark, and the axial scanning length of the scanning positioning frame of the body part can be determined according to the distance between the upper boundary mark and the lower boundary mark.
Step S702, determining an overlapping scanning range according to the axial scanning length and a preset number of scanning beds; and calculating an overlapping scanning range when the scanning length of the body part to be scanned and the preset number of scanning beds are known, for example, the preset number of scanning beds is three, and automatically expanding the number of scanning beds to four if the overlapping scanning range is smaller than the preset overlapping scanning range.
Through steps S701 and S702, the overlapping scanning range is calculated according to the scanning length of the body part of the current scanning object and the preset number of scanning beds, and the number of scanning beds can be automatically expanded to ensure the scanning effect of the body part of the scanning object under the condition that the overlapping scanning range is not satisfied.
It should be noted that the steps illustrated in the above-described flow diagrams or in the flow diagrams of the figures may be performed in a computer system, such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flow diagrams, in some cases, the steps illustrated or described may be performed in an order different than here.
The present embodiment further provides a device for generating a scanning positioning frame, where the device is used to implement the foregoing embodiments and preferred embodiments, and details of which have been already described are omitted. As used hereinafter, the terms "module," "unit," "subunit," and the like may implement a combination of software and/or hardware for a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
In some embodiments, fig. 8 is a block diagram of a device for generating a scan positioning frame according to an embodiment of the present application, and as shown in fig. 8, the device includes: an acquisition module 81, an identification module 82 and a generation module 83.
An acquisition module 81 for acquiring an image of a scan object;
the identification module 82 is used for identifying the biological marker bit of the scanned object according to the image and generating a positioning frame association mark according to the biological marker bit;
and the generating module 83 determines the boundary marks of the scanning positioning frame according to the association marks, and determines the scanning positioning frame according to the boundary marks.
By the device for generating the scanning positioning frame, the acquisition module 81 acquires the image of the scanning object, the recognition module 82 automatically determines the boundary marker according to the biomarker of the scanning object, and the generation module 83 finally determines the scanning positioning frame about the scanning object or the examined person, so that the problems that in the prior art, when PET-CT and CT are used, a doctor needs to manually drag the rectangular frame of a scanning area and adjust the size of the rectangular frame according to the specific height and body type of each patient, the manually adjusted scanning positioning area is inaccurate are solved, and the accuracy of the scanning positioning area is improved.
The above modules may be functional modules or program modules, and may be implemented by software or hardware. For a module implemented by hardware, the modules may be located in the same processor; or the modules can be respectively positioned in different processors in any combination.
In addition, the method for generating the scan positioning frame in the embodiment of the present application described in conjunction with fig. 1 may be implemented by a computer device. The computer device may include a processor and a memory storing computer program instructions.
In particular, the processor may include a Central Processing Unit (CPU), or A Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present application.
The Memory may include a removable or Non-removable (or fixed) medium, where appropriate, the Memory may be internal or external to the data processing device, in particular embodiments the Memory is a Non-Volatile (Non-Volatile) Memory, in particular embodiments the Memory includes a Read-Only Memory (ROM) and a Random Access Memory (RAM), where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (Read-Only-ROM), a Random Access Memory (RAM), a Random Access Memory (ROM), a Dynamic Access ROM (ROM-ROM), a Dynamic Access ROM (RAM), or a combination of two or more of these, where appropriate, the ROM may be a Dynamic Read-Only Memory (ROM), a Random Access ROM (flash-ROM), a Random Access Memory (RAM), or a Dynamic Read-Erasable ROM (RAM), where appropriate, the ROM may be a Dynamic Read-Access ROM (ROM-ROM), a flash Memory (RAM), or a combination of two or more of these, where appropriate, a flash-Erasable ROM, flash-Erasable ROM, or RAM, where appropriate, a Dynamic Read-Access Memory (RAM, or a flash-ROM, or a combination of these may be referred to as an EEPROM, or a Dynamic Read-Access Memory, or a flash-ROM, or a flash-Erasable ROM, or a combination of these, or a flash-Erasable ROM, or a Random Access Memory, or a flash-Access Memory, or a combination of these may be referred to a flash-Access Memory, or a flash-Erasable ROM, or a combination of a flash-Erasable, or a combination of a flash-Erasable, or a flash-Erasable, where appropriate, or a flash-Erasable, or a combination of a flash-Erasable, or a flash.
The memory may be used to store or cache various data files for processing and/or communication use, as well as possibly computer program instructions for execution by the processor.
The processor reads and executes the computer program instructions stored in the memory to implement the method for generating the scan positioning frame in any one of the above embodiments.
In some embodiments, the computer device may further include a communication interface 93 and a bus 90, fig. 9 is a schematic diagram of a hardware structure of the computer device according to the embodiment of the present application, and as shown in fig. 9, the processor 91, the memory 92, and the communication interface 93 are connected through the bus 90 and complete communication therebetween.
The communication interface 93 is used for implementing communication between modules, apparatuses, units and/or devices in the embodiments of the present application. The communication port 93 may also be implemented with other components such as: the data communication is carried out among external equipment, image/data acquisition equipment, a database, external storage, an image/data processing workstation and the like.
In addition, in combination with the method for generating the scanning positioning frame in the foregoing embodiments, the embodiments of the present application may provide a computer-readable storage medium to implement the method. The computer readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any one of the above-described embodiments of the scan positioning frame generation method.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within 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, which falls 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 (10)
1. A method for generating a scan positioning frame, the method comprising:
acquiring an image of a scanned object;
identifying a biological marker bit of the scanning object according to the image, and generating a positioning frame association mark according to the biological marker bit;
determining a boundary mark of a scanning positioning frame according to the association mark;
and determining the scanning positioning frame according to the boundary mark.
2. The method according to claim 1, wherein the biomarker sites comprise cranial vertex and canthus lines, and the generating a localization box associated marker from the biomarker sites comprises:
calculating a midpoint between the vertex and the angular line;
and determining the central position of the head according to the position of the midpoint, wherein the central position of the head is an associated mark of the head.
3. The method according to claim 1, wherein the biomarker sites comprise an auditory canthus line, a lower border of the body, and a femur, and the generating a location box association marker from the biomarker sites comprises:
determining a first associated marker of the body according to the position of the angular line;
determining a first midpoint of the femur from the femur, calculating a second midpoint between the first midpoint and the lower edge of the body, and determining a second associated marking of the body from the location of the second midpoint.
4. The method according to claim 1, wherein the biomarker sites comprise auditory canthus lines and inferior somatic regions, and the generating a localization box associated marker from the biomarker sites comprises:
determining a first associated marker of the body according to the position of the angular line;
translating the body inferior edge away from the canthus line to determine a second correlation marker of the body.
5. The method according to claim 3 or 4, wherein the determining the boundary mark of the scanning positioning frame according to the associated mark comprises:
determining an upper mark of the scanning positioning frame according to the first associated mark;
and determining a lower boundary mark of the scanning positioning frame according to the second associated mark.
6. The method of claim 1, wherein the image of the scanned object comprises at least one of: images taken by a camera, images scanned by a scanning device.
7. The method of claim 5, wherein after determining the scan location box according to the boundary marker, the method further comprises:
calculating the axial scanning length of the scanning positioning frame according to the upper boundary mark and the lower boundary mark;
and determining the number of scanning beds matched with the positioning length according to the axial scanning length and a preset overlapping scanning range.
8. The method of claim 5, wherein after determining the scan localization box of the body from the boundary markers, the method comprises:
calculating the axial scanning length of the scanning positioning frame according to the upper boundary mark and the lower boundary mark;
and determining the overlapping scanning range according to the axial scanning length and the preset number of scanning bed bits.
9. An apparatus for generating a scan frame, the apparatus comprising: the device comprises an acquisition module, an identification module and a generation module:
the acquisition module is used for acquiring an image of a scanning object;
the identification module is used for identifying the biological marker bit of the scanned object according to the image and generating a positioning frame association mark according to the biological marker bit;
and the generation module is used for determining a boundary mark of the scanning positioning frame according to the association mark and determining the scanning positioning frame according to the boundary mark.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 8 when executing the computer program.
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