CN111493911B - 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 generation method of a scanning positioning frame, wherein the generation method of the scanning positioning frame comprises the following steps: compared with the related art, the method for generating the scanning positioning frame provided by the embodiment of the application has the advantages that the image of the scanning object is obtained, the biomarker position of the scanning 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, the scanning positioning frame is determined according to the boundary mark, the problem that the scanning positioning area needs to be manually adjusted when PET-CT and CT in the related art are used, the problem that the manually adjusted scanning positioning area is inaccurate is 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, an apparatus, and a computer device for generating a scan positioning frame.
Background
CT (Computed Tomography) it uses precisely collimated X-ray beam, gamma ray, ultrasonic wave, etc. to scan the cross section around a certain part of human body together with a detector with very high sensitivity. PET-CT perfectly integrates PET and CT, the PET provides detailed functional and metabolic information of focus, CT provides accurate anatomical location of focus, one-time imaging can obtain tomographic images of all directions of whole body, and the method has the characteristics of sensitivity, accuracy, specificity, accurate location and the like, can clearly know the whole body condition at a glance, and achieves the purposes of early finding focus and diagnosing diseases.
In the related art, usually, a PET-CT or CT needs to scan a positioning image in advance before scanning a patient, then a doctor selects a position and a protocol to be scanned in a positioning image view interface, a scanning software pops up a rectangular frame of a default scanning area according to a scanning position and a protocol selected by the doctor, and finally the doctor needs to manually drag the rectangular frame of the scanning area and adjust the size of the rectangular frame according to the specific situation of each patient. Because different patients have great differences in height and body type, the scanning and positioning areas of PET-CT and CT need to be manually adjusted when in use, thus the scanning and positioning areas can be manually influenced, and the problem of inaccuracy of the manually adjusted scanning and positioning areas exists.
At present, aiming at the problem that the manually adjusted scanning and positioning areas are inaccurate when PET-CT and CT in the related technology are used, no effective solution is proposed.
Disclosure of Invention
The embodiment of the application provides a method, a device and computer equipment for generating a scanning positioning frame, which at least solve the problem that the scanning positioning area needs to be manually adjusted when PET-CT and CT are used in the related technology, 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 biomarker level of the scanned object according to the image, and generating a positioning frame association mark according to the biomarker level;
determining boundary marks of the scanning positioning frame according to the association marks;
and determining the scanning positioning frame according to the boundary marks.
In some of these embodiments, the biomarker comprises a top of the cranium and a canthus line, and the generating a localization frame association marker from the biomarker comprises:
calculating a midpoint between the cranial apex and the canthus 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 of these embodiments, the biomarker includes a canthus line, a lower body rim, and a femur, and the generating a localization frame association marker from the biomarker includes:
determining a first associated marker of the body based on the location of the canthus line;
and determining a first midpoint of the femur according to the femur, calculating a second midpoint between the first midpoint and the lower edge of the body, and determining a second association mark of the body according to the position of the second midpoint.
In some of these embodiments, the biomarker comprises a canthus line and a lower edge of the body, and the generating a localization frame association marker from the biomarker comprises:
determining a first associated marker of the body based on the location of the canthus line;
translating the lower edge of the body away from the canthus line to determine a second associated marker for the body.
In some of these embodiments, the determining boundary markers of the scan positioning frame from the associated markers includes:
determining an upper boundary mark of the scanning positioning frame according to the first association mark;
and determining a lower boundary mark of the scanning positioning frame according to the second association mark.
In some of these embodiments, the image of the scanned object includes at least one of: an image captured by the camera, an image scanned by the scanning device.
In some of these embodiments, after the determining the scan positioning frame according to the boundary marker, the method further 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 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 positioning frame 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 an overlapping scanning range according to the axial scanning length and the preset scanning bed number.
In a second aspect, an embodiment of the present application provides a generating device for a scan positioning frame, where the device includes: acquisition module, identification module and generation module:
the acquisition module is used for acquiring an image of a scanned object;
the identification module is used for identifying the biomarker bit of the scanned object according to the image and generating a positioning frame association mark according to the biomarker 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, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements the method for generating a scan positioning frame according to the first aspect when executing the computer program.
Compared with the related art, the method for generating the scanning positioning frame provided by the embodiment of the application has the advantages that the image of the scanning object is obtained, the biomarker position of the scanning 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, the scanning positioning frame is determined according to the boundary mark, the problem that the scanning positioning area needs to be manually adjusted when PET-CT and CT in the related art are used, the problem that the manually adjusted scanning positioning area is inaccurate is 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 other features, objects, and advantages 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 specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
FIG. 1 is a flowchart I of a method of 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 bounding box associated marker from a biomarker bit of a header according to an embodiment of the present application;
FIG. 3 is a flow chart of a method of generating a bounding box associated marker from body biomarker bits according to an embodiment of the present application;
FIG. 4 is a flow chart of another method of generating a bounding box associated marker from body biomarker bits 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 positioning frame from associated markers of a body in accordance with an embodiment of the application;
FIG. 6 is a second flowchart 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 of generating a scan positioning frame according to an embodiment of the application;
FIG. 8 is a block diagram of a scan positioning frame generating device 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
The present application will be described and illustrated with reference to the accompanying drawings and examples in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application. All other embodiments, which can be made by a person of ordinary skill in the art based on the embodiments provided by the present application without making any inventive effort, are intended to fall within the scope of the present application.
It is apparent that the drawings in the following description are only some examples or embodiments of the present application, and it is possible for those of ordinary skill in the art to apply the present application to other similar situations according to these drawings without inventive effort. Moreover, it should be appreciated that while such a development effort might be complex and lengthy, it would nevertheless be a routine undertaking of design, fabrication, or manufacture for those of ordinary skill having the benefit of this disclosure, and thus should not be construed as having the benefit of this disclosure.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases 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. It is to be expressly and implicitly understood by those of ordinary skill in the art that the described embodiments of the application can be combined with other embodiments without conflict.
Unless defined otherwise, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this application belongs. The terms "a," "an," "the," and similar referents in the context of the application are not to be construed as limiting the quantity, but rather as singular or plural. The terms "comprising," "including," "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to only those steps or elements but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. The term "plurality" as used herein refers to two or more, and the terms "first," "second," "third," etc. as used herein merely distinguish similar objects from each other and do not denote a particular ordering of the objects.
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 combination device. PET scanning in the PET device adopts positron nuclides as tracers, and the disease is correctly diagnosed by knowing the functional metabolic state of the focus through the uptake of the tracers by focus positions, so that the PET can display pathophysiological characteristics of the focus, the focus can be found more easily, and the spatial resolution of the PET is lower. The CT scanning in the CT device scans the specific part of the human body by adopting X-rays according to the layer with a certain thickness, when the X-rays are emitted to the human body tissues, part of the rays are absorbed by the tissues, and part of the rays pass through the human body and are received by the detector, so that signals are generated. Because of the different degree of density of various tissues of the human body and the different penetration capability of X-rays, the rays received by the detectors are different. The received differential ray signals are converted into digital information and then processed by a computer, and an image is formed and displayed, so that tiny lesions of any part in the body can be found according to the image. CT can provide high resolution anatomical images with high sensitivity in detecting changes in tissue morphology, but with insufficient ability to further distinguish lesion features. PET-CT perfectly integrates PET and CT, the PET provides detailed functional and metabolic information of focus, CT provides accurate anatomical location of focus, one-time imaging can obtain tomographic images of all directions of whole body, and the method has the characteristics of sensitivity, accuracy, specificity, accurate location and the like, can clearly know the whole body condition at a glance, and achieves the purposes of early finding focus and diagnosing diseases.
The present embodiment provides a method for generating a scan positioning frame, fig. 1 is a flowchart of a method for generating a scan positioning frame according to an embodiment of the present application, as shown in fig. 1, the method includes the following steps:
step S101, obtaining 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. For example a scout image scanned by a CT device.
Step S102, recognizing the biomarker level of the scanned object according to the image, and generating a positioning frame association mark according to the biomarker level; the biomarker is a specific position of the body part of the scanned object, such as a position corresponding to the body part of the scanned object of cranium top, cheekbone and the like; the positioning frame association mark refers to a mark which is generated according to the recognized biomarker and is associated with the biomarker, namely the biomarker expresses the position information of the scanned object, and the association mark expresses the position mark information derived from the biomarker.
Step S103, determining boundary marks of the scanning positioning frame according to the association marks; the boundary position of the scan positioning frame is determined in accordance with the position of the associated marker for marking the body feature of the scan subject.
Step S104, determining a scanning positioning frame according to the boundary marks.
Through the steps S101 to S104, boundary marks can be automatically determined according to the biomarker positions of the scanning objects when the PET-CT and the CT are used, and finally, the scanning positioning frame of the scanning objects or the detected objects is determined, so that the problems that in the related art, a doctor is required to manually drag a rectangular frame of a scanning area when the PET-CT and the CT are used, the size of the rectangular frame is adjusted according to the specific height and the body type of each patient, and the inaccuracy of the manually adjusted scanning positioning area exists are solved, and the accuracy of the scanning positioning area is improved.
In some of these embodiments, fig. 2 is a flowchart of a method of generating a bounding box associated marker from biomarker bits of a head according to an embodiment of the present application, as illustrated in fig. 2, the method including the steps of:
step S201, calculating the midpoint between the top of the cranium and the canthus line; it should be noted that, the biomarker of the head of the subject or the subject includes the vertex and the canthus line, alternatively, the coordinate positions of the vertex and the canthus line can be obtained according to the recognized vertex and canthus line, and the midpoint of the vertex and the canthus line in the Axial direction, that is, (Axial vertex+axial canthus line)/2, is calculated according to the coordinate positions of the vertex and the canthus line; the distance between the two axial directions can also be obtained according to the identified cranial vertex and the identified canthus line, and the midpoint is determined by one half of the distance.
Step S202, determining the central position of the head according to the position of the midpoint, wherein the central position of the head is the association mark of the head; the calculated midpoint position is used as a center position of the head of the subject or the subject, and is also a head-related mark, and further, since the head-related mark position is a 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 scanning positioning frame of the head can be determined according to the center position of the head scanning positioning frame.
Through step S201 and step S202, the generation of the locating frame associated mark of the head of the scanning object is automatically completed according to the cranium top and the canthus line at the head of the scanning object, and the accuracy is high.
In some of these embodiments, fig. 3 is a flowchart of a method of generating a localization frame association marker from body biomarker bits according to an embodiment of the present application, as shown in fig. 3, the method including 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 of the scan subject includes an canthus line, and optionally, the flush position of the canthus line of the scan subject is a first associated mark about the body, which may be understood as a body mark of the body near the head, and further, the upper boundary mark of the scan positioning frame of the body may be determined according to the first associated mark.
Step S302, determining a first midpoint of the femur according to the femur, calculating a second midpoint between the first midpoint and the lower edge of the body, and determining a second association mark of the body according to the position of the second midpoint; the biomarker of the body of the scanned object also comprises the lower edge of the body 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. Alternatively, the coordinates of the middle point in the axial direction of the first middle point and the lower edge of the body can be calculated according to the coordinate positions of the first middle point and the lower edge of the body, namely, the coordinates of the second middle point; the distance between the first midpoint and the axial direction of the lower edge of the body can also be obtained, the midpoint position is determined by one half of the distance, namely the position of the second midpoint, further, the position of the second midpoint is the second associated mark of the body, the second associated mark can be understood as the body mark of the body far away from the head, and further, the lower boundary mark of the scanning positioning frame of the body can be determined according to the second associated mark.
Through step S301 and step S302, the second association mark of the body of the scanning object is generated according to the lower edge of the body and the femur at the body of the scanning object in the image, and the first association mark of the body of the scanning object is completed according to the canthus line at the head of the scanning object in the image, so that the accuracy is high.
In some of these embodiments, fig. 4 is a flowchart of another method of generating a bounding box associated marker from body biomarker bits according to an embodiment of the present application, as shown in fig. 4, the method including 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 of the scan subject includes the canthus line, and optionally, the flush position of the canthus line of the scan subject is the first associated mark of the body, which is understood to be the body mark of the body near the head.
Step S402, translating the lower edge of the body part in a direction away from the canthus line to determine a second association mark of the body part; the biomarker further scans the object body and also comprises a lower edge of the body, after the lower edge of the body of the object is identified in the image, the body is translated by 10mm in a direction away from the head, and the translated position is the second associated mark position of the body, which can be understood as the second associated mark is the body mark of the body far from the head.
Through step S401 and step S402, the second association mark of the body of the scanning object is generated according to the lower edge of the body of the scanning object in the image, and the first association mark of the body of the scanning object is completed according to the canthus line of the head of the scanning object in the image, so that the accuracy is high.
In some embodiments, the scan positioning frame of the scan 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 of these embodiments, fig. 5 is a flowchart of a method of determining boundary markers of a body scanning positioning frame from associated markers of a body, according to an embodiment of the present application, as shown in fig. 5, the method comprising the steps of:
step S501, determining an upper boundary mark of a scanning positioning frame according to the first association mark; the first associated mark is an associated mark of the body close to the head, and the position of the first associated mark is the upper boundary mark position of the body scanning positioning frame.
Step S502, determining a lower boundary mark of the scanning positioning frame according to the second association mark; the second associated mark is an associated mark of the body far from the head, the position of the second associated mark is the lower boundary mark position of the body scanning and positioning frame, and further, the scanning and positioning frame of the body can be determined according to the upper boundary mark position and the lower boundary mark position of the body scanning and positioning frame.
Through step S501 and step S502, the upper boundary mark of the scan positioning frame of the body and the lower boundary mark of the scan positioning frame of the body are determined, and then the scan positioning frame can be determined according to the upper boundary mark of the scan positioning frame and the lower boundary mark of the scan positioning frame, compared with the case that a doctor manually drags the rectangular frame of the scan area to adjust the size of the rectangular frame, the accuracy of the scan positioning frame is improved.
In some embodiments, fig. 6 is a second flowchart of a method for generating a scan positioning frame according to an embodiment of the present application, 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; coordinates of the upper boundary mark and the lower boundary mark can be obtained according to the upper boundary mark of the scanning positioning frame of the body and the lower boundary mark of the scanning positioning frame of the body, the axial scanning length of the scanning positioning frame of the body is 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 is obtained, and the axial scanning length of the scanning positioning frame of the body is determined according to the distance between the upper boundary mark and the lower boundary mark.
Step S602, determining the number of scanning beds matched with the positioning length according to the axial scanning length and the preset overlapping scanning range; alternatively, the preset overlapping scanning range may be 25% -50% of the scanning length of the scanning bed, and the number of scanning beds is determined in the case where the overlapping scanning range is satisfied given the scanning length of the scanning object body and the scanning length of the scanning bed.
Through steps S601 and S602, according to the body scan length of the current scan object, the number of matched scan beds is determined to ensure the scan effect of the scan object body in case of satisfying the preset overlapping scan range.
In some embodiments, fig. 7 is a flowchart III of a method for generating a scan positioning frame according to an embodiment of the present application, 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; coordinates of the upper boundary mark and the lower boundary mark can be obtained according to the upper boundary mark of the scanning positioning frame of the body and the lower boundary mark of the scanning positioning frame of the body, the axial scanning length of the scanning positioning frame of the body is 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 is obtained, and the axial scanning length of the scanning positioning frame of the body is 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 scanning bed number; and calculating an overlapping scanning range when the scanning length of the body of the scanning object and the preset scanning bed number are known, for example, the preset scanning bed number is three, and automatically expanding the scanning bed number to four if the overlapping scanning range is smaller than the preset overlapping scanning range.
Through step S701 and step S702, the overlapping scanning range is calculated according to the body scanning length of the current scanning object and the preset scanning bed number, and in the case that the overlapping scanning range is not satisfied, the scanning bed number can be automatically expanded to ensure the scanning effect of the scanning object body.
It should be noted that the steps illustrated in the above-described flow or 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 other than that illustrated herein.
The embodiment also provides a device for generating the scanning positioning frame, which is used for implementing the foregoing embodiments and the preferred embodiments, and is not described in detail. As used below, the terms "module," "unit," "sub-unit," and the like may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, 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 generating apparatus of a scan positioning frame according to an embodiment of the present application, as shown in fig. 8, the apparatus includes: an acquisition module 81, an identification module 82 and a generation module 83.
An acquisition module 81 for acquiring an image of a scanning object;
the identification module 82 is used for identifying the biomarker level of the scanned object according to the image and generating a positioning frame association mark according to the biomarker level;
the generating module 83 determines a boundary marker of the scan positioning frame based on the associated marker, and determines the scan positioning frame based on the boundary marker.
By the generating device of the scanning positioning frame, the acquiring module 81 acquires the image of the scanning object, the identifying module 82 automatically determines the boundary mark according to the biological marker bit of the scanning object, the generating module 83 finally determines the scanning positioning frame of the scanning object or the detected person, the problems that in the related art, a doctor is required to manually drag the rectangular frame of the scanning area when the PET-CT and the CT are used, the size of the rectangular frame is adjusted according to the specific height and the body type of each patient, and the manually adjusted scanning positioning area is inaccurate are solved, and the accuracy of the scanning positioning area is improved.
The above-described respective modules may be functional modules or program modules, and may be implemented by software or hardware. For modules implemented in hardware, the various modules described above may be located in the same processor; or the above modules may be located in different processors in any combination.
In addition, the method for generating the scan positioning frame according to the embodiment of the present application described in connection 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 comprise a Central Processing Unit (CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, abbreviated as ASIC), or may be configured as one or more integrated circuits that implement embodiments of the present application.
The memory may include, among other things, mass storage for data or instructions. By way of example, and not limitation, the memory may comprise a Hard Disk Drive (HDD), floppy Disk Drive, solid state Drive (Solid State Drive, SSD), flash memory, optical Disk, magneto-optical Disk, tape, or universal serial bus (Universal Serial Bus, USB) Drive, or a combination of two or more of the foregoing. The memory may include removable or non-removable (or fixed) media, where appropriate. The memory may be internal or external to the data processing apparatus, where appropriate. In a particular embodiment, the memory is a Non-Volatile (Non-Volatile) memory. In particular embodiments, the Memory includes Read-Only Memory (ROM) and random access Memory (Random Access Memory, RAM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (PROM for short), an erasable PROM (Erasable Programmable Read-Only Memory for short), an electrically erasable PROM (Electrically Erasable Programmable Read-Only Memory for short EEPROM), an electrically rewritable ROM (Electrically Alterable Read-Only Memory for short EAROM) or a FLASH Memory (FLASH) or a combination of two or more of these. The RAM may be Static Random-Access Memory (SRAM) or dynamic Random-Access Memory (Dynamic Random Access Memory DRAM), where the DRAM may be a fast page mode dynamic Random-Access Memory (Fast Page Mode Dynamic Random Access Memory FPMDRAM), extended data output dynamic Random-Access Memory (Extended Date Out Dynamic Random Access Memory EDODRAM), synchronous dynamic Random-Access Memory (Synchronous Dynamic Random-Access Memory SDRAM), or the like, as appropriate.
The memory may be used to store or cache various data files that need to be processed and/or communicated, as well as possible 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 a scan positioning frame according to any of the above embodiments.
In some embodiments, the computer device may further include a communication interface 93 and a bus 90, and fig. 9 is a schematic hardware structure of the computer device according to an embodiment of the present application, where, as shown in fig. 9, the processor 91, the memory 92, and the communication interface 93 are connected by the bus 90 and complete communication with each other.
The communication interface 93 is used to enable communication between modules, devices, units and/or units in embodiments of the application. The communication port 93 may also enable communication with other components such as: and the external equipment, the image/data acquisition equipment, the database, the external storage, the image/data processing workstation and the like are used for data communication.
Bus 90 includes hardware, software, or both, coupling components of a computer device to each other. Bus 90 includes, but is not limited to, at least one of: data Bus (Data Bus), address Bus (Address Bus), control Bus (Control Bus), expansion Bus (Expansion Bus), local Bus (Local Bus). By way of example, and not limitation, bus 90 may include a graphics acceleration interface (Accelerated Graphics Port), abbreviated AGP, or other graphics Bus, an enhanced industry standard architecture (Extended Industry Standard Architecture, abbreviated EISA) Bus, a Front Side Bus (FSB), a HyperTransport (HT) interconnect, an industry standard architecture (Industry Standard Architecture, ISA) Bus, a wireless bandwidth (InfiniBand) interconnect, a Low Pin Count (LPC) Bus, a memory Bus, a micro channel architecture (Micro Channel Architecture, abbreviated MCa) Bus, a peripheral component interconnect (Peripheral Component Interconnect, abbreviated PCI) Bus, a PCI-Express (PCI-X) Bus, a serial advanced technology attachment (Serial Advanced Technology Attachment, abbreviated SATA) Bus, a video electronics standards association local (Video Electronics Standards Association Local Bus, abbreviated VLB) Bus, or other suitable Bus, or a combination of two or more of the foregoing. Bus 90 may include one or more buses, where appropriate. Although embodiments of the application have been described and illustrated with respect to a particular bus, the application contemplates any suitable bus or interconnect.
In addition, in combination with the method for generating the scanning positioning frame in the above embodiment, the embodiment of the application may be implemented by providing a computer readable storage medium. The computer readable storage medium has stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement a method of generating a scan positioning frame in any of the above embodiments.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (7)
1. A method for generating a scan positioning frame, the method comprising:
acquiring an image of a scanned object;
identifying a biomarker level of the scanned object according to the image, and generating a positioning frame association mark according to the biomarker level;
determining boundary marks of the scanning positioning frame according to the association marks;
determining the scanning positioning frame according to the boundary mark; wherein said determining said scan positioning frame from said boundary marks comprises: determining an upper boundary mark of the scanning positioning frame according to the first association mark; the position of the first association mark is the upper mark position of the body scanning positioning frame; determining a lower boundary mark of the scanning positioning frame according to a second association mark, wherein the position of the second association mark is the lower mark position of the body scanning positioning frame;
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, or determining the overlapping scanning range according to the axial scanning length and the preset number of scanning beds.
2. The method of claim 1, wherein the biomarker comprises a cranium apex and a canthus line, and wherein generating a localization frame association marker from the biomarker comprises:
calculating a midpoint between the cranial apex and the canthus 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 of claim 1, wherein the biomarker comprises an canthus line, a lower body rim, and a femur, and wherein generating a localization frame association marker from the biomarker comprises:
determining a first associated marker of the body based on the location of the canthus line;
and determining a first midpoint of the femur according to the femur, calculating a second midpoint between the first midpoint and the lower edge of the body, and determining a second association mark of the body according to the position of the second midpoint.
4. The method of claim 1, wherein the biomarker comprises an canthus line and a lower rim of the body, and wherein generating a localization frame association marker from the biomarker comprises:
determining a first associated marker of the body based on the location of the canthus line;
translating the lower edge of the body away from the canthus line to determine a second associated marker for the body.
5. The method of claim 1, wherein the image of the scanned object comprises at least one of: an image captured by the camera, an image scanned by the scanning device.
6. A scanning positioning frame generating device, characterized in that the device comprises: acquisition module, identification module and generation module:
the acquisition module is used for acquiring an image of a scanned object;
the identification module is used for identifying the biomarker bit of the scanned object according to the image and generating a positioning frame association mark according to the biomarker bit;
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; wherein said determining said scan positioning frame from said boundary marks comprises: determining an upper boundary mark of the scanning positioning frame according to the first association mark; the position of the first association mark is the upper mark position of the body scanning positioning frame; determining a lower boundary mark of the scanning positioning frame according to a second association mark, wherein the position of the second association mark is the lower mark position of the body scanning positioning frame;
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, or determining the overlapping scanning range according to the axial scanning length and the preset number of scanning beds.
7. 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 one of claims 1 to 5 when the computer program is executed.
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