CN105193383B - Protocol generation system and method, protocol display system, and image generation system - Google Patents
Protocol generation system and method, protocol display system, and image generation system Download PDFInfo
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Abstract
The invention discloses a protocol generation system and method, a protocol display system and an image generation system, wherein the protocol generation system comprises: an input device that receives legend selection information; the storage device is used for storing legend algorithm parameters, the image algorithm parameters are algorithm parameters for generating images according to scanning data, and the legend and the image algorithm parameters are in a mapping relation; and the processor generates a protocol of the medical image according to the image algorithm parameters mapped by the legend corresponding to the legend selection information. The technical scheme of the invention enables a doctor or a technician to more clearly and intuitively generate and create the protocol and search the most appropriate protocol, so that whether the user can quickly find the protocol suitable for the patient to check or not can be reduced, the operation burden of the user can be reduced, the user experience can be improved, and the working efficiency can be improved.
Description
Technical Field
The present invention relates to the field of medical imaging, and in particular, to a system and a method for generating a protocol of a medical image, a system for displaying a protocol of a medical image, and a system for generating a medical image.
Background
When a medical image is taken, the medical image generation system scans a patient according to a preset protocol to obtain scan data of the patient, and then performs data processing according to the scan data to form a medical image for a doctor to diagnose.
Protocols contain many types of parameters, for example, for a digital X-ray machine, one protocol includes: patient-related information, high voltage generator-related parameters, gantry position-related parameters, image algorithm-related parameters. The relevant parameters of the high voltage generator and the relevant parameters of the rack position define relevant scanning parameters when a patient is scanned, and the relevant parameters of the image algorithm define relevant algorithm parameters for processing the scanning data and generating medical images.
The image algorithm parameters are algorithm parameters for performing data processing in accordance with image quality requirements for diagnosis on the basis of scan data obtained by scanning. For example, certain biological tissues such as blood vessels, bones, soft tissues, bone joints, or muscles are highlighted in the medical image, or some of the tissues in the image are removed (e.g., bones are removed) using some data processing means (e.g., digital subtraction of the image). For example, in the X-ray imaging of the breast, since the breast is composed of only soft tissue and gland and does not contain bone, there is a set of separate image algorithm parameters corresponding to the breast imaging, which improves the contrast and minimum resolution of the soft tissue and gland, so that a smaller lesion can be observed on the image.
Due to different biological characteristics of different tissues, if the same set of image algorithm parameters are adopted, the better image quality (image contrast, spatial resolution and image signal to noise ratio) of all tissues is difficult to achieve. When the points of interest for the scanned regions are different, one scanned region may correspond to multiple sets of image algorithm parameters. For example, in chest X-ray imaging, if the lung of a patient needs to be focused, image algorithm parameters corresponding to the lung are selected, and finally, the anatomical structure of the lung is highlighted, so that a doctor can conveniently check focuses such as lung nodules and emphysema. If the heart of the patient needs to be focused, image algorithm parameters corresponding to the heart are selected, and finally the medical image can better highlight the anatomical structure of the heart.
In the existing medical image generation system, there is a case that one protocol only corresponds to one set of image algorithm parameters, and when a doctor or a technician in an operation room sets the protocol parameters, the doctor or the technician needs to manually fill the corresponding image algorithm parameters in a text input box of a protocol editor to generate a protocol finally suitable for a patient. When searching for an existing protocol in the protocol editor, the image algorithm parameters corresponding to each protocol need to be known by looking at the protocol one by one, so as to perform subsequent operations (such as modifying the parameters or searching for the most suitable protocol according to the image algorithm parameters). Particularly, when one protocol corresponds to a plurality of sets of image algorithm parameters, doctors or technicians are required to complete more user operations, which is inconvenient and inefficient in the using process.
Disclosure of Invention
The invention aims to provide an efficient protocol generation system and method for a medical image, a protocol display system and a medical image generation system, so that the working efficiency of doctors or technicians during generation, creation and searching operations related to a protocol is improved, the operation burden is reduced, and the user experience is improved.
To solve the above problems, the present invention provides a protocol generation system for medical images, comprising:
an input device that receives legend selection information; the legend selection information corresponds to a legend and is based on the information input by the legend; the storage device is used for storing legend algorithm parameters, the image algorithm parameters are algorithm parameters for generating images according to scanning data, and the legend and the image algorithm parameters are in a mapping relation; and the processor generates a protocol of the medical image according to the image algorithm parameters mapped by the legend corresponding to the legend selection information.
Preferably, the image algorithm parameters include algorithm parameters for highlighting specific biological tissues in the image.
Preferably, the image algorithm parameters include algorithm parameters for removing a specific biological tissue in the image.
Preferably, the image algorithm parameters include algorithm parameters for highlighting a specific organ in the image.
Preferably, the legend is a geometric figure, and geometric figures of different shapes represent different image algorithm parameters.
Preferably, the legends are geometric figures, and each legend adopts the same geometric shape but is filled with different colors, and the different colors represent different image algorithm parameters.
Preferably, the protocol further comprises image scanning parameters of the medical image.
To solve the above problem, the present invention also provides a medical image generation system, including:
the protocol generation system described above, which generates a protocol to configure a medical image scan; a scanning device for scanning the medical image according to the protocol; and the processor generates a medical image according to the image algorithm parameters contained in the generation protocol based on the scanning data obtained by scanning.
Preferably, the medical image scanning device is a digital X-ray imaging device, a computed tomography X-ray imaging device, a magnetic resonance imaging device, a positron emission tomography imaging device or a multi-modality imaging device formed by combining the above devices.
In order to solve the above problem, the present invention further provides a protocol display system for medical images, comprising:
the protocol generation system generates a protocol for configuring medical image scanning; the processor generates indication information according to the legend selection information; the display device displays the protocol, receives and simultaneously displays the indication information.
Preferably, the indication information is a pattern including at least one color, and each color corresponds to one image algorithm parameter.
Preferably, the pattern is a pie chart divided equally according to the number of colors, each equal division showing one color.
In order to solve the above problem, the present invention further provides a protocol generation method for medical images, including:
receiving legend selection information, the legend selection information corresponding to a legend, the legend selection information being selected based on the legend; the image algorithm parameters are algorithm parameters for generating images according to scanning data, and the legend and the image algorithm parameters are in a mapping relation; and generating a protocol of the medical image according to the image algorithm parameters mapped by the legend corresponding to the image selection information.
Preferably, the image algorithm parameters include algorithm parameters for highlighting specific biological tissues in the image.
Preferably, the image algorithm parameters include algorithm parameters for removing a specific biological tissue in the image.
Preferably, the image algorithm parameters include algorithm parameters for highlighting a specific organ in the image.
Preferably, the legends are geometric figures, and each legend adopts the same geometric shape but is filled with different colors, and the different colors represent different image algorithm parameters.
Preferably, the legends are geometric figures, and each legend adopts the same geometric shape but is filled with different colors, and the different colors represent different image algorithm parameters.
Compared with the prior art, the invention improves the existing medical image protocol generation system and the like, so that a doctor or a technician can generate and establish the protocol more clearly and intuitively and search the most appropriate protocol, and the user can quickly find the protocol suitable for the patient to check, thereby reducing the operation burden of the user, improving the user experience and improving the working efficiency.
Drawings
FIG. 1 is a system block diagram of a medical image generation system of the present invention;
FIG. 2 is a flow chart of an embodiment of the medical image protocol generation system of the present invention;
FIG. 3 is a schematic diagram of a protocol management interface of the protocol generation system for medical images of the present invention;
FIG. 4 is a pictorial creation flow diagram of the protocol generation system of medical images of the present invention;
fig. 5 is a schematic diagram of a protocol generation method of a medical image of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. In the following description, specific details are set forth in order to provide a thorough understanding of the present invention. The invention can be implemented in a number of ways different from those described herein and similar generalizations can be made by those skilled in the art without departing from the spirit of the invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.
Fig. 1 is a system block diagram of a medical image generation system of the present invention. Referring to fig. 1, a medical image generation system 100 of the present invention includes a scanning apparatus 101 of medical images and a protocol generation system 102.
The medical image scanning apparatus 101 may be a digital X-ray imaging apparatus (e.g., a floor-mounted digital X-ray imaging apparatus, a suspended digital X-ray imaging apparatus, a pillar-type digital X-ray imaging apparatus, or a digital breast X-ray imaging apparatus), a Computed Tomography apparatus (CT), a Magnetic Resonance Tomography apparatus (MR), or a positron emission Tomography apparatus (PET), and a multi-modality imaging apparatus (e.g., PET-CT, PET-MR) combined with the above apparatuses.
The protocol generation system 102 belongs to a user control side of the medical image generation system 100, and is typically a desktop computer, but may be in other control side forms. Which in particular includes a storage device 1021, a processor 1022, a display device 1023, and an input device 1024. The storage device 1021 may be a hard disk and/or a memory with a certain storage capacity. Processor 1022 may employ a multi-core central processing unit. The display device 1023 may be a liquid crystal display panel. The input device 1024 may be a mouse, keyboard, imaging control box, or touch screen tablet.
When a medical image is scanned, a radiologist or an imaging technician typically first determines a scanning region of a patient according to a patient condition, and a protocol of the medical image is provided for each scanning region. The protocol includes a series of scan parameters set when the medical image scanning apparatus performs image scanning, and for example, in the digital X-ray imaging apparatus, a scan part, a body position, an exposure mode, a focus size, exposure parameters (a voltage value, a current value, and an exposure time of a high voltage generator) of a patient, and the like are set. The protocol also includes algorithm parameters, i.e., image algorithm parameters, for processing the scan data to generate an image after the scan data is obtained by scanning the image.
The protocol is set to complete before a medical image scan is performed, after which the image scan is started and finally a medical image is generated.
The invention provides a protocol generation system 102 of medical images, which comprises the following components with reference to the attached figure 1:
the storage device 1021 stores image algorithm parameters and a legend, wherein the image algorithm parameters are algorithm parameters for generating an image according to scanning data, and the legend and the image algorithm parameters are in a mapping relationship.
The storage device 1021 stores image algorithm parameters, which are algorithm parameters for generating an image from scan data, and a legend, and may be in various forms, as long as the image algorithm parameters are setting parameters of a correlation algorithm to be used when generating an image based on scan data.
The image algorithm parameters may be algorithm parameters that highlight a particular biological tissue in the image, such as: at least one of a vascular algorithm parameter, a bone joint algorithm parameter, a muscle algorithm parameter, a skeletal algorithm parameter, or a soft tissue algorithm parameter. One type of biological tissue may have one set of image algorithm parameters or may have multiple sets of image algorithm parameters.
The image algorithm parameters may also be algorithm parameters for removing specific biological tissues in the image, for example, by digital subtraction of the image to remove tissues around the blood vessel and obtain only the blood vessel image. Or an algorithm parameter for bone removal in head imaging.
The image algorithm parameters may also be algorithm parameters for a certain organ, highlighting algorithm parameters for a specific organ in the image, e.g. algorithm parameters for a proper and better image quality for the breast, lung, heart.
The image algorithm parameters can be preset in software by a manufacturer of the medical image generation system and stored in the storage device. After shipment, the setting may be performed in a protocol editor of software by a doctor or a technician on the user side. The image algorithm parameters corresponding to the same image processing mode (highlighting a specific biological tissue in the image, removing a specific biological tissue in the image, or highlighting a specific organ in the image) are the same in different protocols, for example, the image algorithm parameters corresponding to the highlighted soft tissue, and the specific algorithm parameter values are the same in the brain protocol and the abdominal protocol.
The legend takes the form of a representation of an image, which may be, for example, a geometric figure: circular, rectangular, rhomboid, triangular, trapezoidal or polygonal patterns, or dots, lines, etc. When the legend adopts geometric figures, points and lines, the legend can be combined with different colors and thicknesses, and the different colors can be filled in the geometric figures or only be frame lines of the geometric figures.
The legend may also employ irregular patterns or other patterns in addition to geometric patterns. For example, the algorithm parameter corresponding to the bone may be a pattern of the bone, and the algorithm parameter corresponding to the blood vessel may be a pattern of the blood vessel.
The legends can have other specific image representations, which are not listed here, and the legends can be distinguished from each other. The legend and the image algorithm parameters are in a mapping relation, and one set of image algorithm parameters correspond to one legend.
And a display device 1023 for receiving and displaying the legend read by the processor.
The display device 1023 displays the legend on the software interface after receiving the legend read by the processor, so that a doctor or a technician can conveniently perform corresponding operations for selecting the legend based on the legend.
The input device 1024 receives legend selection information, and the legend selection information corresponds to the legend and is based on the information input by the legend.
The legend selection information is selected by a doctor or a technician, and the specific selection mode can be that the doctor or the technician clicks the displayed legend to complete the selection of the corresponding algorithm parameters. The corresponding key may be clicked by the input device with reference to a legend displayed on the display device.
The processor 1022 generates a protocol for the medical image based on the image algorithm parameters of the legend map selected by the legend selection information.
And finally, selecting information according to the input legend, and generating a protocol of the medical image based on the image algorithm parameters corresponding to the legend mapping.
Fig. 2 is a flowchart of a specific implementation of the protocol generation system of the present invention, referring to fig. 2, first, step S201 is performed to normally start the system, and the system will complete a conventional software and hardware self-check in this process. Then step S202 is executed to enter the protocol management interface.
The protocol management interface, as shown in fig. 3, may be divided into a plurality of regions: protocol group area 301 on the left, legend area 302 on the top right, and other functional operations area 303 on the bottom right. The protocol group area 301 shows the existing protocols, showing a number of protocols: protocol 3011, protocol 3013, protocol 3015, the specific name of each protocol being replaced in the figure by two words "text". Legend area 302 displays a number of legends: legend 3021, legend 3022, legend 3023. Here, it is schematically shown that a legend 3021 is a skeleton-type algorithm, a legend 3022 is a muscle-type algorithm, and a legend 3023 is another muscle-type algorithm. Also, the legends are represented in fig. 3 by rectangular patterns of different fill colors for distinction.
When step S203 is executed to create a new protocol, a key (not shown in the figure) corresponding to the creation of the new protocol is clicked. If the protocol is newly created, step S204 is first executed to determine whether a legend corresponding to a suitable image algorithm parameter exists in the system. If there is no suitable legend stored in the system, step S205 is executed to create image algorithm parameters.
If the legend corresponding to the image algorithm parameters is stored in the system, the step S204 determines yes, and the step S206 is executed to select the legend, for example, when the bone-like biological tissue needs to be protruded to add the bone algorithm parameters, unlike the prior art in which only each parameter can be manually set in the input box, in the technical solution of the present invention, the legend 3021 corresponding to the bone-like algorithm can be directly selected in the legend area 302 of fig. 3, for example, the legend 3021 is clicked, so that the addition of the bone-like algorithm parameters can be completed.
When only one image algorithm parameter is needed for the protocol, if the judgment in step S207 is no, the process directly proceeds to step S208, and the protocol creation is completed. If the protocol needs to correspond to a plurality of image algorithm parameters, the determination of step S207 is yes, the image algorithm parameters are continuously added, and step S205 and step S206 are executed again.
For the creation flow of the legend, refer to FIG. 4.
Firstly, the system is normally started in step S401, then step S402 is executed to enter the configuration management interface, and step S403 is executed to enter the legend management interface in the configuration management interface.
Step S404 is then executed to fill in legend information, where the legend information includes a name of the legend (e.g., a skeleton class algorithm) and image algorithm parameters corresponding to the legend (e.g., for a skeleton class, parameters related to setting a window width, a window level, sharpening, and denoising). After the parameters are set, step S405 is executed to click the corresponding completion button, and the legend is created completely.
If the innovation legend needs to be continued, yes is output in the determination step S406, and the related operations in the steps S404 and S405 are continuously executed.
If the output of step S406 is no, all legend creation work has been completed, and step S407 is performed to complete the legend registration work.
The invention also provides a medical image generation system based on the medical image protocol generation system, as shown in fig. 1, comprising:
the protocol generation system 102 generates a protocol configuring a medical image scan by the protocol generation system 102.
And a scanning device 101 for scanning the medical image according to the generated protocol,
the processor 1022 generates a medical image based on the data scanned by the scanning device 101 according to the image algorithm parameters included in the generation protocol.
The protocol generation system 102 itself includes scan parameters in addition to image algorithm parameters that are selectively set based on legends. The scanning device 101 performs a scan of the medical image according to the scan parameters.
The processor processes the scan data according to the scan data obtained by the scan of the scanner 101 and the image algorithm parameters set by the protocol, and generates a medical image finally used for diagnosis by a doctor. The specific procedures thereof are known to those skilled in the art and will not be described herein.
The invention also provides a protocol display system of medical images on the basis of the protocol generation system of medical images, which comprises:
the medical image protocol generation system 102 generates a protocol for configuring a medical image scan.
Further, referring to fig. 1, the processor 1022 generates the indication information according to the legend selection information.
The display device 1023 displays the protocol, receives and simultaneously displays the instruction information.
The indication information is information indicating that the protocol already contains algorithm parameters, in practice, specifically at the software interface displayed by the display device 1023.
Referring to the protocol management interface of fig. 3, the left protocol group area 301 has a plurality of protocols: protocol 3011, protocol 3013, protocol 3015. Each protocol corresponds to indication information: instruction information 3012, instruction information 3014, and instruction information 3016.
The indication information schematically shown in fig. 3 is in the form of a pie chart comprising at least one color, each color representing a respective image algorithm parameter. The indication information 3012 corresponding to the protocol 3011 includes 3 colors, and the 3 colors correspond to a legend 3021, a legend 3022, and a legend 3023 of the legend area 302, respectively. It is indicated that the protocol 3011 contains 3 image algorithm parameters.
And the indication information 3014 corresponding to the protocol 3013 in the protocol group area 301 is also a pie chart, which includes 2 colors, where the 2 colors correspond to a legend 3021 and a legend 3023, respectively, indicating that the protocol 3013 includes image algorithm parameters corresponding to the legend in the 2. The indication 3016 of the protocol 3015 has only one color, corresponding to the legend 3021, indicating that the protocol 3015 contains only the image algorithm parameters corresponding to the legend 3021.
The specific representation form of the indication information in fig. 3 may be a pie chart in which a plurality of colors are combined together, which is the same as the legend, and may be other shapes without being limited to the pie chart. Or other manifestations such as: a single multi-color representation (not shown) with the origin point laterally juxtaposed may be used, with the color of each origin point being the same as the color of the legend area representation legend, to indicate the included image algorithm parameters. The indication information may also have other expressions, as long as it can be in one-to-one correspondence with the legend and can be distinguished.
The invention further provides a protocol generation method of medical images on the basis of a protocol generation system of medical images, and the method is shown in fig. 5 and comprises the following steps:
step S501, receiving legend selection information, where the legend selection information corresponds to a legend, and the legend selection information is selected based on the legend. The image algorithm parameters are algorithm parameters for generating an image according to scanning data, and the legend and the image algorithm parameters are in a mapping relation.
Step S502, generating a protocol of the medical image according to the image algorithm parameters mapped by the legend corresponding to the image selection information.
In a preferred embodiment of the protocol generation system of the present invention, the image algorithm parameters comprise algorithm parameters that highlight a particular biological tissue in the image.
In a preferred embodiment of the protocol generation system of the present invention, the image algorithm parameters include algorithm parameters that remove specific biological tissue from the image.
In a preferred embodiment of the protocol generation system of the present invention, the image algorithm parameters comprise algorithm parameters for highlighting a particular organ in the image.
In a preferred embodiment of the protocol generation system of the present invention, the legends are geometric figures, each legend using the same geometry but filled with a different color, the different colors representing different image algorithm parameters.
In a preferred embodiment of the protocol generation system of the present invention, the legends are geometric figures, each legend using the same geometry but filled with a different color, the different colors representing different image algorithm parameters.
The specific implementation of the above technical solution can refer to the specific implementation of the protocol generation system for medical images of the present invention, and details are not repeated here.
Compared with the prior art, the invention improves the existing medical image protocol generation system and the like, so that a doctor or a technician can generate and establish the protocol more clearly and intuitively and search the most appropriate protocol, and the user can quickly find the protocol suitable for the patient to check, thereby reducing the operation burden of the user, improving the user experience and improving the working efficiency.
Although the present invention has been described with reference to the preferred embodiments, it is not intended to limit the present invention, and those skilled in the art can make variations and modifications of the present invention without departing from the spirit and scope of the present invention by using the methods and technical contents disclosed above.
Claims (17)
1. A protocol generation system for medical images, comprising:
an input device for receiving legend selection information at a protocol management interface; the legend selection information corresponds to a legend and is based on the information input by the legend;
the storage device is used for storing image algorithm parameters, the image algorithm parameters are algorithm parameters for generating images according to scanning data, and the legend and the image algorithm parameters are in a mapping relation;
the processor is used for adding the image algorithm parameters to the protocol management interface according to the image algorithm parameters mapped by the legend corresponding to the legend selection information so as to generate a protocol of the medical image;
wherein the protocol is that the setting is completed before the medical image scanning is performed, and then the image scanning is started and finally the medical image is generated.
2. The protocol generation system of claim 1, wherein the image algorithm parameters comprise algorithm parameters that highlight a particular biological tissue in the image.
3. The protocol generation system of claim 1, wherein the image algorithm parameters include algorithm parameters that remove a particular biological tissue from the image.
4. The protocol generation system of claim 1, wherein the image algorithm parameters comprise algorithm parameters that highlight a particular organ in an image.
5. The protocol generation system of claim 1, wherein the legend is a geometric figure, and geometric figures of different shapes represent different image algorithm parameters.
6. The protocol generation system of claim 1, wherein the legends are geometric figures, each legend using the same geometry but filled with a different color, the different colors representing different image algorithm parameters.
7. The protocol generation system of claim 1, the protocol further comprising image scan parameters of a medical image.
8. A medical image generation system, comprising:
the protocol generation system of any of claims 1 to 7, generating a protocol to configure a medical image scan;
a scanning device for scanning the medical image according to the protocol;
and the processor generates a medical image according to the image algorithm parameters contained in the generation protocol based on the scanning data obtained by scanning.
9. The medical image generation system of claim 8, wherein the medical image scanning device is a digital X-ray imaging device, a computed tomography X-ray imaging device, a magnetic resonance imaging device, a positron emission tomography imaging device, or a multi-modality imaging device combining the above devices.
10. A protocol display system for medical images, comprising:
the protocol generation system of any of claims 1 to 7, generating a protocol to configure a medical image scan;
the processor generates indication information according to the legend selection information;
and the display device displays the protocol, and receives and simultaneously displays the indication information.
11. The protocol display system of claim 10, wherein the indication information is a pattern comprising at least one color, each color corresponding to an image algorithm parameter.
12. The protocol display system of claim 11 wherein the pattern is a pie chart divided equally by the number of colors, each aliquot displaying one color.
13. A protocol generation method for medical images, comprising:
receiving legend selection information at a protocol management interface, the legend selection information corresponding to a legend, the legend selection information being selected based on the legend; storing image algorithm parameters, wherein the image algorithm parameters are algorithm parameters for generating images according to scanning data, and the legend and the image algorithm parameters are in a mapping relation;
adding the image algorithm parameters to the protocol management interface according to the image algorithm parameters mapped by the legend corresponding to the legend selection information to generate a protocol of the medical image;
wherein the protocol is that the setting is completed before the medical image scanning is performed, and then the image scanning is started and finally the medical image is generated.
14. The protocol generation method of claim 13, wherein the image algorithm parameters comprise algorithm parameters that highlight a particular biological tissue in the image.
15. The protocol generation method of claim 13, wherein the image algorithm parameters include algorithm parameters that remove specific biological tissue from the image.
16. The protocol generation method of claim 13, wherein the image algorithm parameters include algorithm parameters that highlight a particular organ in an image.
17. The method of claim 13, wherein the legends are geometric figures, each legend using the same geometric shape but filled with a different color, the different colors representing different image algorithm parameters.
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Address after: 201807 No. 2258 Chengbei Road, Jiading Industrial Zone, Jiading District, Shanghai. Patentee after: Shanghai Lianying Medical Technology Co., Ltd Address before: 201807 No. 2258 Chengbei Road, Jiading Industrial Zone, Jiading District, Shanghai. Patentee before: SHANGHAI UNITED IMAGING HEALTHCARE Co.,Ltd. |