CN111000577A - Intelligent full-automatic digital X-ray inspection equipment - Google Patents
Intelligent full-automatic digital X-ray inspection equipment Download PDFInfo
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- CN111000577A CN111000577A CN201911395134.7A CN201911395134A CN111000577A CN 111000577 A CN111000577 A CN 111000577A CN 201911395134 A CN201911395134 A CN 201911395134A CN 111000577 A CN111000577 A CN 111000577A
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- 238000007689 inspection Methods 0.000 title claims abstract description 11
- 238000007405 data analysis Methods 0.000 claims abstract description 28
- 230000009347 mechanical transmission Effects 0.000 claims abstract description 11
- 238000004891 communication Methods 0.000 claims abstract description 4
- 238000013135 deep learning Methods 0.000 claims description 3
- 238000010191 image analysis Methods 0.000 claims description 3
- 238000000034 method Methods 0.000 claims description 3
- 230000005855 radiation Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/04—Positioning of patients; Tiltable beds or the like
- A61B6/0407—Supports, e.g. tables or beds, for the body or parts of the body
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/44—Constructional features of apparatus for radiation diagnosis
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/54—Control of apparatus or devices for radiation diagnosis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/80—Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
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Abstract
The invention discloses an intelligent full-automatic digital X-ray inspection device, and relates to the technical field of X-ray inspection devices. The invention comprises the following steps: the device comprises a host control system, a bed body lifting control system and a big data analysis system; the bed body lifting control system comprises a built-in mechanical transmission set arranged on a lifting bed; the host control system transmits a control command to the built-in mechanical transmission set to control the lifting bed to be lifted to a specified height; the host control system comprises a control host; the control host is respectively in communication connection with the X-ray equipment, the bed body lifting control system and the big data analysis system. The invention uses the bed body which can be lifted in the clinostatic shooting so as to automatically adjust the SID, and automatically selects the optimal SID size through big data learning, thereby achieving the optimal image effect.
Description
Technical Field
The invention belongs to the technical field of X-ray inspection equipment, and particularly relates to intelligent full-automatic digital X-ray inspection equipment.
Background
At present, a digital X-ray examination apparatus is composed of several components, such as an X-ray bulb, a mechanical support system, a high voltage generator, a flat panel detector, an image acquisition system, etc., wherein the image acquisition system sends exposure parameters to the high voltage generator, the high voltage generator generates a voltage up to 150kv to excite the X-ray bulb, so as to generate X-ray to irradiate a human body, the flat panel detector converts the X-ray irradiated to the human body into a digital signal, and then the image acquisition system converts the digital signal into a digital X-ray image.
At present, the similar X-ray examination equipment needs to be controlled by an operating doctor, and the quality of the shot X-ray image depends on the experience and the technical level of the operating doctor.
The invention provides an intelligent full-automatic digital X-ray examination device, which uses a bed body which can be lifted so as to automatically adjust SID (distance from an X-ray bulb tube to a flat panel detector) in horizontal shooting, and automatically selects the optimal SID size through big data learning so as to achieve the optimal image effect.
Disclosure of Invention
The invention aims to provide intelligent full-automatic digital X-ray examination equipment, which uses a bed body capable of lifting so as to automatically adjust SID in horizontal shooting, automatically selects the optimal SID size through big data learning, thereby achieving the optimal image effect and solving the problems of unreasonable shooting position and shooting parameters of the existing digital X-ray examination equipment.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to an intelligent full-automatic digital X-ray inspection device, which comprises: the device comprises a host control system, a bed body lifting control system and a big data analysis system; the bed body lifting control system comprises a built-in mechanical transmission set arranged on a lifting bed; the host control system transmits a control command to the built-in mechanical transmission set to control the lifting bed to be lifted to a specified height;
the host control system comprises a control host; the control host is respectively in communication connection with the X-ray equipment, the bed body lifting control system and the big data analysis system;
the control host obtains the physical sign information of the patient and then transmits the physical sign information to the big data analysis system; the big data analysis system analyzes the physical sign information of the patient, the position of the patient and the position of the patient to obtain X-ray equipment parameters and SID and transmits the X-ray equipment parameters and SID to the control host; the control host controls the X-ray equipment and the built-in mechanical transmission set according to the X-ray equipment parameters and the SID;
the big data analysis system analyzes and learns the image information and the shooting parameters to obtain the optimal shooting parameters and transmits the optimal shooting parameters to the host control system; and the host control system adjusts and controls the X-ray equipment and the bed body lifting control system according to the optimal shooting parameters.
Preferably, the X-ray equipment comprises an X-ray bulb tube, a high voltage generator, a flat panel detector and an image acquisition system; the image acquisition system sends exposure parameters to a high voltage generator; the high-voltage generator is used for generating high-voltage to excite the X-ray bulb tube; the X-ray generated by the X-ray bulb irradiates a human body on the lifting bed; the flat panel detector converts X-rays irradiated by a human body into digital signals, and then the digital signals are converted into X-ray images by the image acquisition system.
Preferably, the image acquisition system transmits the X-ray image to a host control system; the control host computer obtains the physical sign information of the patient, the body position of the patient and the position of the patient according to the X-ray image analysis.
Preferably, the control host transmits the patient sign information, the patient position and the patient position to a big data analysis system; the big data analysis system obtains the best shooting parameters by comparing the big data database through a deep learning method.
Preferably, the big data database stores patient sign information, patient body position, patient position and corresponding optimal shooting parameters; the big data analysis system comprises a data training module and a data comparison module; the data training module trains the patient sign information, the patient position and the sample information of the patient position to obtain corresponding optimal shooting parameters; and the data comparison module is used for comparing the current patient sign information, the patient body position and the patient position with the big data database to obtain the current best shooting parameters.
One aspect of the present invention has the following advantageous effects:
1. the invention uses the bed body which can be lifted in the clinostatic shooting so as to automatically adjust the SID, and automatically selects the optimal SID size through big data learning, thereby achieving the optimal image effect.
2. The invention can realize the parameterization of the shooting and light-emitting settings of the X-ray equipment for the application of big data and automation; through the comparison and study of the X-ray equipment parameters, the image quality and the patient posture characteristics, the most suitable parameters for the individual are obtained through the comparison of all the parameters in the big data, so that the effect of obtaining the highest quality image under the condition of the least radiation dose is achieved; meanwhile, the automation of the whole system relieves the dependence on the personnel of doctors.
3. The invention realizes self-learning of the existing image data and shooting parameters through a big data analysis system so as to achieve the aim of improving the image quality; after the physical signs and the body positions of the patient are given, the optimal shooting parameters are given to the control host system on the basis of the existing big data learning result, and the rest of X-ray equipment and the bed lifting system are adjusted by the control host system.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced 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 that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an intelligent full-automatic digital X-ray inspection apparatus according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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.
In the description of the present invention, it is to be understood that the terms "open," "upper," "middle," "length," "inner," and the like are used in an orientation or positional relationship for convenience in describing the present invention and for simplicity of description, and do not indicate or imply that the referenced components or elements must have a particular orientation, be constructed and operated in a particular orientation, and therefore should not be construed as limiting the present invention.
Referring to fig. 1, the present invention is an intelligent full-automatic digital X-ray inspection apparatus, comprising: the device comprises a host control system, a bed body lifting control system and a big data analysis system; the bed body lifting control system comprises a built-in mechanical transmission set arranged on a lifting bed; the host control system transmits a control command to the built-in mechanical transmission set to control the lifting bed to be lifted to a specified height; the host control system comprises a control host; the control host is respectively in communication connection with the X-ray equipment, the bed body lifting control system and the big data analysis system;
the control host obtains the physical sign information of the patient and then transmits the information to the big data analysis system; the big data analysis system analyzes the physical sign information, the body position and the position of the patient to obtain X-ray equipment parameters and SID and transmits the parameters and SID to the control host; the control host controls the X-ray equipment and the built-in mechanical transmission set according to the X-ray equipment parameters and SID;
the big data analysis system analyzes and learns the image information and the shooting parameters to obtain the optimal shooting parameters and transmits the optimal shooting parameters to the host control system; the host control system adjusts and controls the X-ray equipment and the bed body lifting control system according to the optimal shooting parameters.
The X-ray equipment comprises an X-ray bulb tube, a high-voltage generator, a flat panel detector and an image acquisition system; the image acquisition system sends the exposure parameters to the high voltage generator; the high-voltage generator is used for generating high-voltage to excite the X-ray bulb tube; x-ray generated by the X-ray bulb irradiates a human body on the lifting bed; the flat panel detector converts X-rays irradiated by a human body into digital signals, and then the digital signals are converted into X-ray images by the image acquisition system; the image acquisition system transmits the X-ray image to the host control system; the control host computer obtains the physical sign information of the patient, the body position of the patient and the position of the patient according to the X-ray image analysis.
The control host transmits the physical sign information, the body position and the position of the patient to the big data analysis system; the big data analysis system compares the big data database through a deep learning method to obtain the best shooting parameters; the big data database stores patient sign information, patient positions and corresponding optimal shooting parameters; the big data analysis system comprises a data training module and a data comparison module; the data training module trains the patient sign information, the patient position and the sample information of the patient position to obtain corresponding optimal shooting parameters; the data comparison module is used for comparing the current patient sign information, the patient body position and the patient position with the big data database to obtain the current best shooting parameters.
When the system is actually used, the big data analysis system realizes self-learning on the existing image data and shooting parameters so as to achieve the aim of improving the image quality; after the physical signs and the body positions of the patient are given, the optimal shooting parameters are given to the control host system on the basis of the existing big data learning result, and the rest of X-ray equipment and the bed lifting system are adjusted by the control host system; for big data and automatic application, parameterization of X-ray equipment shooting and light emitting setting can be realized; through the comparison and study of the X-ray equipment parameters, the image quality and the patient posture characteristics, the most suitable parameters for the individual are obtained through the comparison of all the parameters in the big data, so that the effect of obtaining the highest quality image under the condition of the least radiation dose is achieved; meanwhile, the automation of the whole system reduces the dependence on doctors and staff; a bed body which can be lifted so as to automatically adjust the SID is used in the recumbent shooting, and the optimal SID size is automatically selected through big data learning, so that the optimal image effect is achieved.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. An intelligent full-automatic digital X-ray inspection device, comprising: the device comprises a host control system, a bed body lifting control system and a big data analysis system;
the bed body lifting control system comprises a built-in mechanical transmission set arranged on a lifting bed; the host control system transmits a control command to the built-in mechanical transmission set to control the lifting bed to be lifted to a specified height;
the host control system comprises a control host; the control host is respectively in communication connection with the X-ray equipment, the bed body lifting control system and the big data analysis system;
the control host obtains the physical sign information of the patient and then transmits the physical sign information to the big data analysis system; the big data analysis system analyzes the physical sign information of the patient, the position of the patient and the position of the patient to obtain X-ray equipment parameters and SID and transmits the X-ray equipment parameters and SID to the control host; the control host controls the X-ray equipment and the built-in mechanical transmission set according to the X-ray equipment parameters and the SID;
the big data analysis system analyzes and learns the image information and the shooting parameters to obtain the optimal shooting parameters and transmits the optimal shooting parameters to the host control system; and the host control system adjusts and controls the X-ray equipment and the bed body lifting control system according to the optimal shooting parameters.
2. The intelligent full-automatic digital X-ray inspection device according to claim 1, wherein the X-ray device comprises an X-ray bulb tube, a high voltage generator, a flat panel detector and an image acquisition system; the image acquisition system sends exposure parameters to a high voltage generator; the high-voltage generator is used for generating high-voltage to excite the X-ray bulb tube; the X-ray generated by the X-ray bulb irradiates a human body on the lifting bed; the flat panel detector converts X-rays irradiated by a human body into digital signals, and then the digital signals are converted into X-ray images by the image acquisition system.
3. An intelligent full-automatic digital X-ray examination device according to claim 2, wherein the image acquisition system transmits X-ray images to a host control system; the control host computer obtains the physical sign information of the patient, the body position of the patient and the position of the patient according to the X-ray image analysis.
4. The intelligent full-automatic digital X-ray examination device according to claim 1, wherein the control host computer transmits patient sign information, patient position and patient position to the big data analysis system; the big data analysis system obtains the best shooting parameters by comparing the big data database through a deep learning method.
5. The intelligent full-automatic digital X-ray examination device according to claim 4, wherein the big data database stores patient sign information, patient position and corresponding optimal shooting parameters; the big data analysis system comprises a data training module and a data comparison module; the data training module trains the patient sign information, the patient position and the sample information of the patient position to obtain corresponding optimal shooting parameters; and the data comparison module is used for comparing the current patient sign information, the patient body position and the patient position with the big data database to obtain the current best shooting parameters.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911395134.7A CN111000577A (en) | 2019-12-30 | 2019-12-30 | Intelligent full-automatic digital X-ray inspection equipment |
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| CN201911395134.7A CN111000577A (en) | 2019-12-30 | 2019-12-30 | Intelligent full-automatic digital X-ray inspection equipment |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113180716A (en) * | 2021-05-11 | 2021-07-30 | 深圳市深图医学影像设备有限公司 | Medical digital X-ray system capable of realizing intelligent positioning |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113180716A (en) * | 2021-05-11 | 2021-07-30 | 深圳市深图医学影像设备有限公司 | Medical digital X-ray system capable of realizing intelligent positioning |
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Application publication date: 20200414 |