CN108182434B - Image processing method and device - Google Patents
Image processing method and device Download PDFInfo
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- CN108182434B CN108182434B CN201711446293.6A CN201711446293A CN108182434B CN 108182434 B CN108182434 B CN 108182434B CN 201711446293 A CN201711446293 A CN 201711446293A CN 108182434 B CN108182434 B CN 108182434B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
Abstract
The embodiment of the invention provides an image processing method and device, and relates to the technical field of medical data processing. In the technical scheme provided by the embodiment of the invention, each bed can contain the interested part through flexible adjustment of the overlapping area. The method comprises the following steps: firstly, acquiring a pre-scanning image containing a region to be acquired; further determining the range of the region to be acquired in the pre-scanned image; then determining a bed for acquiring data of the area to be acquired; and finally, respectively adjusting the bed head position and/or the bed foot position of each bed according to the positions of the organs contained in the region to be collected. The technical scheme provided by the embodiment of the invention is suitable for the bed position determination process of the medical data acquisition system.
Description
[ technical field ] A
The present invention relates to the field of medical data processing technologies, and in particular, to an image processing method and apparatus.
[ background ] A method for producing a semiconductor device
When data acquisition is performed on an examination region by a combined functional imaging and anatomical imaging system, such as a PET-MR (Positron Emission Tomography-Magnetic Resonance imaging) system or a PET-CT (Positron Emission Tomography-X-ray Computed Tomography) system, due to the limitation of the axial acquisition range of the PET system, data acquisition of the whole body or a large region often needs to be divided into a plurality of beds for respective acquisition. Further, due to hardware limitations of the PET acquisition detector, the data accuracy is worse the farther from the center of the field of view of the acquisition site, so that a certain overlap area between successive beds is required to ensure the accuracy of the acquired data.
In the prior art, after the area required to perform data acquisition is known, the acquisition area is finally determined to perform data acquisition by adjusting the number of acquisition beds and the overlapping area between consecutive beds. Since the size of the overlapping area between all the beds is uniform, there is a problem that it cannot be guaranteed that each bed can contain the region of interest exactly. Particularly, when the region for data acquisition contains both a dynamic part (for example, a chest with periodic heartbeat motion) and a static part (for example, a head), the data acquisition efficiency can be higher if the dynamic part and the static part are separately acquired, and the prior art cannot well ensure that the dynamic part and the static part are respectively located at different bed positions (that is, different bed positions respectively contain respective regions of interest).
[ summary of the invention ]
In view of the above, embodiments of the present invention provide an image processing method and apparatus, each bed can include a region of interest by flexibly adjusting the position of the head and/or the position of the feet.
In one aspect, an embodiment of the present invention provides an image processing method, where the method includes:
acquiring a pre-scanning image containing a region to be acquired;
determining the range of the region to be acquired in the pre-scanned image;
determining a bed for acquiring data of the area to be acquired;
and respectively adjusting the bed head position and/or the bed foot position of each bed according to the position of the organ contained in the region to be collected.
The above aspect and any possible implementation manner further provide an implementation manner, where the determining the range of the region to be acquired in the pre-scan image includes:
acquiring a scanning scene; determining the range of the region to be acquired in the pre-scanned image according to the scanning scene;
and/or the presence of a gas in the gas,
and determining the range of the region to be acquired in the pre-scanning image in response to an operation instruction of a user for the region to be acquired.
The above-mentioned aspect and any possible implementation manner further provide an implementation manner, where the determining a bed for acquiring data of the area to be acquired includes:
acquiring a bed acquisition range and the size of a specified bed overlapping area, wherein the size of the specified bed overlapping area is within an adjustable range of the bed overlapping area; determining a bed for acquiring data of the area to be acquired according to the range of the area to be acquired, the bed acquisition range and the size of the specified bed overlapping area;
and/or the presence of a gas in the gas,
and responding to an operation instruction of a user for determining a bed based on the range of the area to be collected, and determining the bed for collecting data of the area to be collected.
The above aspect and any possible implementation manner further provide an implementation manner, before the adjusting the bed head position and/or the bed foot position of each bed respectively according to the position of the organ contained in the region to be collected, the method further includes:
acquiring the adjustable range of the bed overlapping area;
respectively adjusting the bed head position and/or the bed foot position of each bed according to the position of the organ contained in the region to be collected, including:
and sequentially adjusting the bed head position and/or the bed foot position of each bed within the adjustable range of the bed overlapping area according to the positions of the organs contained in the area to be collected.
The above aspect and any possible implementation manner further provide an implementation manner, where the adjusting the position of the head and/or the position of the foot of each bed according to the position of the organ contained in the region to be collected respectively includes:
identifying the position of an organ in the region to be acquired according to the pre-scanning image; and respectively adjusting the bed head position and/or the bed foot position of each bed according to the position of the organ contained in the region to be collected.
And/or the presence of a gas in the gas,
and respectively adjusting the bed head position and/or the bed foot position of each bed in response to an operation instruction of a user for adjusting the beds based on the positions of the organs contained in the area to be collected.
The above-mentioned aspect and any possible implementation manner further provide an implementation manner, after the adjusting the bed head position and/or the bed foot position of each bed respectively according to the position of the organ contained in the area to be collected, the method further includes:
judging whether real-time acquisition areas contained in all the beds cover the area to be acquired or not;
and when the real-time acquisition area does not cover the area to be acquired, increasing the bed for acquiring data of the area to be acquired.
The above aspects, and any possible implementations, further provide an implementation,
before the determining the range of the region to be acquired in the pre-scan image according to the scan scene, the method further comprises:
acquiring scanning object information of the pre-scanning image;
the determining the range of the region to be acquired in the pre-scan image according to the scan scene includes:
and determining the range of the region to be acquired in the pre-scanned image according to the scanning scene and the information of the scanning object.
The above-mentioned aspect and any possible implementation manner further provide an implementation manner, after the adjusting the bed head position and/or the bed foot position of each bed respectively according to the position of the organ contained in the area to be collected, the method further includes:
and acquiring data of real-time acquisition areas contained in all the beds according to the designated acquisition parameters.
The above-mentioned aspect and any possible implementation manner further provide an implementation manner, after the acquiring data of the real-time acquisition regions included in all the beds according to the designated acquisition parameters, the method further includes:
determining the size of a bed overlapping area between continuous beds;
and splicing the data collected by all the beds according to the size of the bed overlapping area between the continuous beds.
In another aspect, an embodiment of the present invention provides an image processing apparatus, where the apparatus includes a processor, a memory, and a parameter adjustment interface;
the parameter adjustment interface is for inputting instructions and the memory is for storing instructions that, when executed by the processor, cause the apparatus to implement the method as described above.
The embodiment of the invention provides an image processing method and device, wherein after bed positions for acquiring data of an area to be acquired are determined according to the range of the area to be acquired, the bed head position and/or the bed foot position of each bed position are respectively adjusted based on the positions of organs contained in the area to be acquired, so that the positions before data acquisition are positioned. The technical scheme provided by the embodiment of the invention can respectively set the overlapping areas between the continuous beds by adjusting the bed head position and/or the bed foot position of each bed, and the size of the overlapping area of the beds is flexible and variable. Each bed can contain interested parts through flexible adjustment of the overlapping area, and further can better meet the acquisition requirement and improve the acquisition efficiency.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flowchart of a method for processing an image according to an embodiment of the present invention;
FIG. 2 is a schematic illustration of an embodiment of a positioning system;
FIG. 3 is a flow chart of another method of image processing provided by embodiments of the present invention;
FIG. 4 is a flow chart of another method of image processing provided by embodiments of the present invention;
FIG. 5 is a flow chart of another method of image processing according to an embodiment of the present invention;
FIG. 6 is a flow chart of another method of image processing provided by embodiments of the present invention;
FIG. 7 is a flow chart of another method of image processing according to an embodiment of the present invention;
FIG. 8 is a flow chart of another method of image processing provided by embodiments of the present invention;
FIG. 9 is a flow chart of another method of image processing according to an embodiment of the present invention;
FIG. 10 is a flow chart of another method of image processing provided by embodiments of the present invention;
FIG. 11 is a flow chart of another method of image processing provided by embodiments of the present invention;
FIG. 12 is a flow chart of another method of image processing provided by embodiments of the present invention;
FIG. 13 is a flow chart of another method of image processing provided by embodiments of the present invention;
fig. 14 is a schematic diagram illustrating an entity apparatus for image processing according to an embodiment of the present invention.
[ detailed description ] embodiments
For better understanding of the technical solutions of the present invention, the following detailed descriptions of the embodiments of the present invention are provided with reference to the accompanying drawings.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrase "if determined" or "if detected (a stated condition or event)" may be interpreted as "upon determining" or "in response to determining" or "upon detecting (a stated condition or event)" or "in response to detecting (a stated condition or event)", depending on the context.
It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
The embodiment of the invention provides an image processing method, which is suitable for the bed position determination process of a medical data acquisition system, and as shown in figure 1, the method comprises the following steps:
101. a pre-scan image containing a region to be acquired is acquired.
The pre-scan image is a medical image obtained by performing a fast whole-body or half-body scan on a scanned object, and the pre-scan image may be an image generated by any one of medical devices such as MR, PET, SPECT (Single-Photon Emission Computed Tomography), CT, and the like, or a fusion image between any one of the foregoing devices. The pre-scan image is a low resolution image used for bed acquisition of the area to be acquired.
102. Determining the range of the region to be acquired in the pre-scanning image.
Specifically, a user determines a range of a region to be acquired (for example, a range of a head, a trunk and a lower limb) according to a scanning scene (for example, a head scanning scene, a knee scanning scene, a chest scanning scene, etc.), and then sends an operation instruction for the region to be acquired to a data acquisition system, and the data acquisition system determines the range of the region to be acquired according to the instruction; or the data acquisition system automatically determines the range of the area to be acquired in the pre-scanned image according to the scanning scene.
The range of the region to be acquired comprises the position and the size of the region to be acquired.
103. And determining a bed for acquiring data of the area to be acquired.
Specifically, according to the range of the area to be collected, the bed collecting range and the size of an overlapping area of a specified bed (assuming that the size of the overlapping area between all continuous beds is the same as the size of the overlapping area of the specified bed), after the bed is determined by manual calculation of a user, an operation instruction for determining the bed is sent to a data collecting system, and the data collecting system determines the bed according to the operation instruction; or the data acquisition system automatically calculates the bed position for acquiring the data of the area to be acquired according to the parameters.
The bed acquisition range refers to the size of a data area which can be acquired by the bed, and the bed acquisition range can be determined by the performance of a detector in the data acquisition system, such as the axial length of a PET crystal.
It should be noted that, the size of the bed overlapping area is specified to be within the adjustable range of the bed overlapping area, and the adjustable range of the bed overlapping area is determined by the performance of the acquisition detector of the data acquisition system and an algorithm (e.g., an image reconstruction algorithm).
104. And respectively adjusting the bed head position and/or the bed foot position of each bed according to the position of the organ contained in the region to be collected.
In a possible implementation method, a user can determine the position of an organ in a region to be acquired through a pre-scanning image, and then issues an operation instruction for adjusting the bed to a data acquisition system, and the data acquisition system adjusts the position of the head and/or the feet of the bed according to the operation instruction. In another possible implementation manner, the data acquisition system may identify the organ position in the pre-scan image according to an organ segmentation technique, and further adjust the bedside position and/or the bedside position of each bed respectively according to the identified organ position.
The bed head position and/or the bed foot position of the bed positions are adjusted, namely, the size of the overlapped area between the continuous bed positions is adjusted, so that each bed position can completely contain the interested part or organ. As shown in fig. 2, the positioning diagram of the present invention is a schematic diagram of the position of the bed after adjusting the position of the bed when collecting the body half data of the human body, and the diagram includes 5 beds and 4 bed overlapping areas, which are numbered as 1, 2, and 3 …, respectively. It can be seen that the sizes of the overlapping areas of the adjusted 4 beds are slightly different. The overlapping area of each bed is adjusted in the figure, so that each bed can just contain the complete region of interest, for example, the bed 1 contains the head and neck, the bed 2 contains the lungs, the bed 3 contains the abdomen, and the bed 4 contains the lower limb area.
The method provided by the technical scheme is generally suitable for systems containing PET acquisition, such as medical image data acquisition systems of PET-MR, PET-CT and the like.
In the image processing method provided by the embodiment of the invention, after the bed for acquiring the data of the area to be acquired is determined according to the range of the area to be acquired, the bed head position and/or the bed foot position of each bed are respectively adjusted based on the position of the organ contained in the area to be acquired, so as to perform positioning before data acquisition. The technical scheme provided by the embodiment of the invention can respectively set the overlapping areas between the continuous beds by adjusting the bed head position and/or the bed foot position of each bed, and the size of the overlapping area of the beds is flexible and variable. Each bed can contain the interested part through the flexible adjustment of the overlapping area, and further can better meet the acquisition requirement and improve the acquisition efficiency.
Further, in combination with the foregoing method flow, another possible implementation manner of the embodiment of the present invention provides the following specific method steps based on two implementation manners, namely, an automatic operation flow and a manual operation flow, for the specific implementation process of determining the range of the region to be acquired in the pre-scan image in step 102.
A first implementation manner, which determines the range of the region to be acquired based on the automatic operation process of the system, as shown in fig. 3, includes:
1021. a scan scene is acquired.
1022. And determining the range of the region to be acquired in the pre-scanned image according to the scanning scene.
In a first implementation, after the data acquisition system acquires a scan scene, such as a head scan scene, a head region in the pre-scan image is determined as a range of a region to be acquired.
A second implementation manner, which determines the range of the region to be acquired based on the manual operation process, as shown in fig. 4, includes:
1023. and determining the range of the area to be acquired in the pre-scanned image in response to an operation instruction of a user for the area to be acquired.
In a second implementation manner, after confirming the range of the region to be acquired in the pre-scanned image according to the known scanning scene, the user inputs a corresponding operation instruction to the data acquisition system through a human-computer interaction parameter adjustment interface, so that the data acquisition system determines the range of the region to be acquired.
Further, in combination with the foregoing method flow, another possible implementation manner of the embodiment of the present invention provides the following specific method steps based on two implementation manners, namely, an automatic operation flow and a manual operation flow, for the specific implementation process of determining the bed for performing data acquisition on the area to be acquired in step 103.
The first implementation method, which determines the bed for data acquisition based on the automatic operation process of the system, as shown in fig. 5, includes:
1031. and acquiring the bed acquisition range and the size of the specified bed overlapping area.
Wherein, the size of the specified bed overlapping area is within the adjustable range of the bed overlapping area.
1032. And determining the bed for acquiring data of the area to be acquired according to the range of the area to be acquired, the bed acquisition range and the size of the designated bed overlapping area.
Specifically, the calculation principle for determining the bed position is as follows: if the size of the area to be collected is a, the bed collection range is b, and the size of the designated bed overlapping area is c, the number of beds for collecting data of the area to be collected is determined as (a-c)/(b-c) according to the parameters, and the position of the bed is further determined. In the first implementation method, the data acquisition system automatically executes the bed determination process according to the algorithm according to the calculation principle.
A second implementation method, which determines a bed for data acquisition based on a manual operation process, as shown in fig. 6, includes:
1033. and responding to an operation instruction of a user for determining a bed based on the range of the area to be collected, and determining the bed for collecting data of the area to be collected.
In a second implementation method, after the user determines the bed by himself according to the calculation principle of bed determination in the first implementation method, the user inputs a corresponding operation instruction to the data acquisition system through a human-computer interaction parameter adjustment interface, so that the data acquisition system determines the bed for acquiring data of the area to be acquired.
Further, in combination with the foregoing method flow, in order to prevent the data collected from being distorted due to the adjustment of the overlapping area between the beds to be out of the adjustable range of the overlapping area of the beds when the position of the head and/or the feet of the bed is adjusted, another possible implementation manner of the embodiment of the present invention further provides the following method flow, which is executed before step 104, as shown in fig. 7, and includes:
104' obtaining the adjustable range of the bed overlapping area.
Step 104 is specifically executed as the following steps:
1041. and sequentially adjusting the bed head position and/or the bed foot position of each bed within the adjustable range of the bed overlapping area according to the positions of the organs contained in the area to be collected.
Specifically, when the data acquisition system automatically adjusts the position of the head and/or the position of the legs of the bed according to the identified position of the organ, the position of the bed can be adjusted within the adjustable range of the bed overlapping area through algorithm design after the adjustable range parameters of the bed overlapping area are acquired.
However, if the data acquisition system adjusts the position of the bed according to the operation instruction of the user for adjusting the position of the bed, after the operation instruction of the user is possibly executed, the bed overlapping area between the continuous beds exceeds the adjustable range of the bed overlapping area, so the technical scheme provides a corresponding solution.
Further, in combination with the foregoing method flow, another possible implementation manner of the embodiment of the present invention provides the following specific method steps based on two implementation manners, namely, a system automatic operation flow and a manual operation flow, for a specific implementation process in step 104 of respectively adjusting the head position and/or the foot position of each bed according to the position of the organ included in the region to be collected.
The first implementation method, which adjusts the position of the head and/or the position of the feet of each bed based on the automatic operation process of the system, as shown in fig. 8, includes:
1042. and identifying the position of an organ in the region to be acquired according to the pre-scanning image.
In one particular implementation, contour, organ segmentation (recognition) of the human body based on pre-scan images, such as contour segmentation based on desperate and coronal pre-scan images, can calculate the range of the head, torso and lower limbs; performing organ segmentation may substantially localize the lung, heart, abdomen. The segmentation algorithm may be a segmentation method based on a region, or may be a method based on edge detection, based on a fuzzy set theory, based on a neural network, and the like, which is not particularly limited in the present invention.
1043. And respectively adjusting the bed head position and/or the bed foot position of each bed according to the position of the organ contained in the region to be collected.
A second implementation method for adjusting the position of the head and/or the position of the feet of each bed based on a manual operation process is shown in fig. 9, and includes:
1044. and respectively adjusting the bed head position and/or the bed foot position of each bed in response to an operation instruction of a user for adjusting the beds based on the positions of the organs contained in the area to be collected.
Further, in combination with the foregoing method flow, in order to prevent that after the position of the bed is adjusted, the bed overlapping area becomes larger as a whole, which results in that the real-time acquisition area included in all the beds cannot cover the whole area to be acquired, and cannot acquire all the required data, another possible implementation manner of the embodiment of the present invention further provides a method flow for adding beds, which is executed after step 104, as shown in fig. 10, and includes:
105. and judging whether the real-time acquisition regions contained in all the beds cover the region to be acquired or not.
106. And when the real-time acquisition area does not cover the area to be acquired, increasing the bed for acquiring data of the area to be acquired.
Specifically, if the real-time acquisition area does not cover the area to be acquired, the bed to be added can be determined according to the size of the uncovered area, the known bed acquisition range and the size of the designated bed overlapping area, and the calculation principle is the same as that in step 1032.
Specifically, in step 106, the bed positions for data acquisition of the area to be acquired may be added until the real-time acquisition area covers the area to be acquired.
Further, in combination with the aforementioned method flow, information of the scanned object, such as height, weight, sex, etc., can assist in determining the approximate position and size of the region to be acquired, so before step 1022, another possible implementation manner of the embodiment of the present invention further provides the following method flow, as shown in fig. 11, including:
1024. and acquiring the scanning object information of the pre-scanning image.
The information of the scanned object may include sex, height, weight, etc. of the scanned object.
10221. and determining the range of the region to be acquired in the pre-scanned image according to the scanning scene and the information of the scanning object.
For example, for the same abdominal scanning scene, the scanning object is a male with 1.8 m and a female with 1.6 m, and the size of the region to be acquired of the male should be larger than that of the female to be reasonable.
Further, in combination with the foregoing method flow, after the bed position for performing data acquisition on the area to be acquired is adjusted, the data acquisition system may sequentially perform data acquisition on the area covered by each bed, so that another possible implementation manner of the embodiment of the present invention further provides the following method flow, which is executed after step 104, as shown in fig. 12, and includes:
107. and acquiring data of real-time acquisition areas contained in all the beds according to the designated acquisition parameters.
The appointed acquisition parameters comprise acquisition sequence of the beds and acquisition time, gating signals and other parameters of each bed, and the sizes of the acquisition time, the gating signals and other parameters are determined according to the attributes of the organs needing data acquisition and the injected drugs.
Further, in combination with the foregoing method flow, after the data acquisition is completed, the data acquired by all beds are further synthesized to obtain a final complete data image, so that another possible implementation manner of the embodiment of the present invention further provides the following method flow, which is executed after step 107, as shown in fig. 13, and the method further includes:
108. the size of the bed overlapping area between successive beds is determined.
109. And splicing the data collected by all the beds according to the size of the bed overlapping area between the continuous beds.
In the process of splicing the data acquired by all beds to generate a complete data image, the data acquisition system determines the data to be processed in the data splicing process according to the size of an overlapping area between every two continuous beds so as to ensure that the spliced data image conforms to the specific anatomical position of a human body.
An embodiment of the present invention provides an image processing apparatus, as shown in fig. 14, the apparatus includes a processor 21, a memory 22, and a parameter adjustment interface 23; the parameter adjustment interface 23 is used for inputting instructions, and the memory 22 is used for storing instructions, which when executed by the processor 21, cause the apparatus to implement the method as described above.
In the image processing device provided by the above embodiment of the present invention, after the bed for acquiring data of the area to be acquired is determined according to the range of the area to be acquired, the bed head position and/or the bed foot position of each bed are respectively adjusted based on the position of the organ included in the area to be acquired, so as to perform positioning before data acquisition. The technical scheme provided by the embodiment of the invention can respectively set the overlapping areas between the continuous beds by adjusting the bed head position and/or the bed foot position of each bed, and the size of the overlapping area of the beds is flexible and variable. Each bed can contain interested parts through flexible adjustment of the overlapping area, and further can better meet the acquisition requirement and improve the acquisition efficiency.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions in actual implementation, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) or a Processor (Processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. An image processing method, characterized in that the method comprises:
acquiring a pre-scanning image containing a region to be acquired;
determining the range of the region to be acquired in the pre-scanned image;
determining a bed for acquiring data of the area to be acquired;
and respectively adjusting the bed head position and/or the bed foot position of each bed in the plurality of beds according to the position of the organ contained in the region to be collected and the adjustable overlapping region between the continuous beds so that each bed completely contains the part or organ of interest.
2. The method according to claim 1, wherein the determining the extent of the region to be acquired in the pre-scan image comprises:
acquiring a scanning scene; determining the range of the region to be acquired in the pre-scanned image according to the scanning scene;
and/or the presence of a gas in the gas,
and determining the range of the region to be acquired in the pre-scanning image in response to an operation instruction of a user for the region to be acquired.
3. The image processing method according to claim 1, wherein the determining the bed for acquiring the data of the area to be acquired comprises:
acquiring a bed acquisition range and the size of a specified bed overlapping area, wherein the size of the specified bed overlapping area is within an adjustable range of the bed overlapping area; determining a bed for acquiring data of the area to be acquired according to the range of the area to be acquired, the bed acquisition range and the size of the specified bed overlapping area;
and/or the presence of a gas in the gas,
and responding to an operation instruction of a user for determining a bed based on the range of the area to be collected, and determining the bed for collecting data of the area to be collected.
4. The image processing method according to any one of claims 1 or 3, wherein before the adjusting the head position and/or the foot position of each bed respectively according to the position of the organ contained in the region to be collected and the adjustable overlap region between successive beds, the method further comprises:
acquiring an adjustable range of the overlapping area;
then the adjusting the position of the head and/or the position of the feet of each bed respectively according to the position of the organ contained in the region to be collected and the adjustable overlapping region between the continuous beds comprises:
and sequentially adjusting the bed head position and/or the bed foot position of each bed in the adjustable range of the overlapping area according to the position of the organ contained in the area to be collected.
5. The image processing method according to claim 1, wherein the adjusting the position of the head and/or the position of the foot of each bed respectively according to the position of the organ contained in the region to be collected and the adjustable overlapping region between the successive beds comprises:
identifying the position of an organ in the region to be acquired according to the pre-scanning image; respectively adjusting the bed head position and/or the bed foot position of each bed according to the position of the organ contained in the region to be collected and the adjustable overlapping region between the continuous beds;
and/or the presence of a gas in the gas,
and respectively adjusting the bed head position and/or the bed foot position of each bed in response to an operation instruction of a user for adjusting the beds based on the positions of the organs contained in the area to be collected and the adjustable overlapping area between the continuous beds.
6. The image processing method according to claim 1, wherein after said adjusting the head position and/or the foot position of each bed respectively according to the position of the organ contained in the area to be collected and the adjustable overlap area between successive beds, the method further comprises:
judging whether real-time acquisition areas contained in all the beds cover the area to be acquired or not;
and when the real-time acquisition area does not cover the area to be acquired, increasing the bed for acquiring data of the area to be acquired.
7. The image processing method according to claim 2,
before the determining the range of the region to be acquired in the pre-scan image according to the scan scene, the method further comprises:
acquiring scanning object information of the pre-scanning image;
the determining the range of the region to be acquired in the pre-scan image according to the scan scene includes:
and determining the range of the region to be acquired in the pre-scanned image according to the scanning scene and the information of the scanning object.
8. The image processing method according to claim 1, wherein after said adjusting the position of the head and/or the position of the foot of each bed respectively according to the position of the organ contained in the area to be acquired and the adjustable overlapping area between successive beds, the method further comprises:
and acquiring data of real-time acquisition areas contained in all the beds according to the designated acquisition parameters.
9. The image processing method according to claim 8, wherein after said acquiring data of real-time acquisition regions included in all beds according to the designated acquisition parameters, the method further comprises:
determining the size of a bed overlapping area between continuous beds;
and splicing the data collected by all the beds according to the size of the bed overlapping area between the continuous beds.
10. An image processing apparatus, comprising a processor, a memory, and a parameter adjustment interface;
the parameter adjustment interface is for inputting instructions, the memory is for storing instructions that, when executed by the processor, cause the apparatus to carry out the method of any one of claims 1 to 9.
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| CN111743565B (en) * | 2020-07-15 | 2023-09-26 | 北京永新医疗设备有限公司 | Four-dimensional dynamic tomographic positioning method, detector and nuclear medicine equipment |
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