CN114145761A - Fluorine bone disease medical imaging detection system and use method thereof - Google Patents
Fluorine bone disease medical imaging detection system and use method thereof Download PDFInfo
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Abstract
The invention relates to a fluoroossium medical imaging detection system and a using method thereof, the detection system comprises a shooting unit for carrying out X-ray shooting on a target part of a patient, a display unit for displaying a detection result in an image or model mode and a control unit for inputting a control signal, the detection system can be provided with a simulation unit for establishing a three-dimensional model on the target part of the patient in a virtual space, the three-dimensional model of the simulation unit is established based on the control signal transmitted by the control unit to the shooting unit and is obtained by adjusting after being compared with the X-ray image actually acquired by the shooting unit, wherein the simulation unit can predict the future development trend of the disease by combining the current environment of the patient and relevant influence factors on the basis of the simulated three-dimensional model, and the display of the future prediction is realized by the dynamic simulation of the three-dimensional model.
Description
Technical Field
The invention relates to the technical field of fluorosteosis medical detection instruments, in particular to a fluorosteosis medical imaging detection system and a using method thereof.
Background
Fluorotoxic bone disease (fluorosis) refers to a chronic, invasive systemic bone disease in which excess fluoride is chronically ingested to cause fluorosis and involve bone tissue. The pathogenic cause of fluorosis bone disease is due to the chronic long-term entry of excess fluorine into the human body, either through the digestive or respiratory tract. Fluorine enters the human body through the digestive tract or the respiratory tract, and is distributed to the whole body through blood circulation to cause various changes. Fluorosis affects the teeth and is called dental fluorosis. The patients often have symptoms of general muscular pain, dizziness, palpitation, weakness, drowsiness, anorexia, nausea, emesis, abdominal distention, diarrhea or constipation.
Conventionally, examination diagnosis can be performed using an X-ray imaging apparatus, and fluoroossosis may be manifested as osteoporosis type or osteopetrosis type under X-ray, wherein there is also a mixed type in which the above type occurs simultaneously with osteomalacia type. Therefore, there is a need for a fluoroossicular medical imaging detection system that more intuitively and accurately obtains image information of a target portion of a patient.
CN 104856713 a discloses an irradiation method of DR digital X-ray photography in screening of endemic fluorosis, which comprises the following technical parameters according to different irradiation parts: (1) the elbow joint positive position X-ray irradiation tube voltage is 60-66 kV, and the X-ray tube current is 5-8 mAs; (2) the X-ray irradiation tube voltage of the shank/knee joint positive sheet is 62-70 kV, and the X-ray tube current is 8-12 mAs; (3) the voltage of the X-ray irradiation tube of the pelvis positive sheet is 70-80 kV, and the current of the X-ray tube is 20-32 mAs. The irradiation condition is adjusted according to the physical condition of the subject to be examined to obtain a diagnostic image. The application of the method in clinic and field use of the difluoride disease area shows that the total effective rate of the A-grade film rate and the B-grade film rate of the digital X-ray imaging radiography for the endemic fluorosis is higher than 94.92%, the diagnosis is rapid, and the result is accurate. Is suitable for clinical diagnosis pictures of the endemic fluorosis and screening of the endemic fluorosis in the fluorosis area. However, this patent only discloses that DR digital X-ray photography equipment can take values in different ranges for different irradiation parts when setting technical parameters to improve sheeting efficiency, and does not improve and optimize the visual display of image information.
CN 103239256A discloses a human bone joint virtual X-ray imaging method and a system. Firstly, carrying out computer X-ray tomography (CT) on a target limb, and converting the limb into a data set consisting of coordinates of a volume unit and an X-ray absorption rate; then simulating the process that rays reach an imaging plane through limbs through a numerical algorithm; and finally, carrying out visualization processing on the numerical result to generate a gray image which can be recognized by human eyes and output a result. For orthopaedics and radiodiagnosis doctors, the invention can generate X-ray images generated by projecting limbs from any angle, help the orthopaedics and radiodiagnosis doctors to learn X-ray anatomy and establish cognitive relation between a three-dimensional structure and a two-dimensional image. For a radiological technician, the invention can simulate the influence of different shooting parameters and the body position of the examined person on the final imaging, and is beneficial to learning the radiography technology; aiming at special diseases, the invention can assist in screening the optimal body position and angle of the X-ray radiography for clinical reference. However, the CT examination generates much higher radiation to the human body than the general X-ray examination, and the fluorosis disease, both industrial and local, may cause the patient to be in the existing environment for a long time and cannot leave, so that the diagnosis and examination of the fluorosis disease are periodically required, and the relatively frequent use of the CT examination involved in the invention has other various influences on the body of the patient, and even causes canceration.
Further, the metauniverse (Metaverse) is a hot concept today, which is a 3D virtual space with link awareness and sharing features based on the future internet, presenting convergence and physical persistence features through virtual augmented physical reality. In general, the meta universe maps a physical world to a virtual world composed of numbers and the internet by high-tech means such as artificial intelligence, virtual reality, cloud computing, digital twins, block chains and the like. In this virtual world, all personal attributes such as identity, sense, and shape of consciousness, and social attributes such as social system, economic structure, and political organization can be presented. Namely, the Yuanuniverse is a concept of a person with a virtual identity under the new technologies of extended reality (XR), a block chain, cloud computing, digital twins and the like, and can be understood as a person with a virtual identity, and the person can be accessed into the virtual world at any time and any place, and the world has cultural content and an economic system which are continuously developed by the person, always keeps safe and stable operation, and can meet the requirements of social contact, games, economic life and the like of individuals. How to introduce the concept of metastables into the medical field is also a problem that needs to be solved at present.
Furthermore, on the one hand, due to the differences in understanding to the person skilled in the art; on the other hand, since the applicant has studied a great deal of literature and patents when making the present invention, but the disclosure is not limited thereto and the details and contents thereof are not listed in detail, it is by no means the present invention has these prior art features, but the present invention has all the features of the prior art, and the applicant reserves the right to increase the related prior art in the background.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a fluorosteosis medical imaging detection system and a using method thereof.
The invention discloses a fluoroossium medical imaging detection system, which comprises a shooting unit for carrying out X-ray shooting on a target part of a patient, a display unit for displaying a detection result in an image or model mode and a control unit for inputting a control signal, wherein the detection system can be provided with a simulation unit for establishing a three-dimensional model on the target part of the patient in a virtual space, the three-dimensional model of the simulation unit is established based on the control signal transmitted by the control unit to the shooting unit and is obtained by adjusting after being compared with the X-ray image actually acquired by the shooting unit, the simulation unit can predict the future development trend of diseases by combining the current environment of the patient and relevant influence factors on the basis of the simulated three-dimensional model, and the display of the future prediction is realized by dynamic simulation of the three-dimensional model.
According to a preferred embodiment, the display unit is capable of displaying the two-dimensional image and/or the three-dimensional model acquired by at least one of the capturing unit and the simulation unit, wherein the three-dimensional model displayed by the display unit comprises an actual model and/or a predicted future model simulated by the simulation unit.
According to a preferred embodiment, the recording units can be arranged in at least two groups at different recording angles with respect to the target region of the patient, wherein the display units can be arranged in a priority sequence.
According to a preferred embodiment, the imaging unit can be provided with imaging means and corresponding imaging means arranged on opposite sides of the target region of the patient, wherein X-rays emitted by the imaging means and impinging on the target region of the patient can be received by the imaging means for displaying X-ray images.
According to a preferred embodiment, the recording units can be provided with drive means, either individually or in common, for driving the recording units by means of the drive means to move in accordance with control signals input by the control unit, wherein the drive means drives the respective recording units to move on the basis of the priority sequence.
According to a preferred embodiment, the simulation unit is capable of virtually setting a corresponding photographing virtual part and a corresponding imaging virtual part in a virtual space based on a control signal input by the control unit or a setting position of the photographing unit, extracting a contour of the established three-dimensional model based on the set sampling points, and judging the accuracy of establishment of the three-dimensional model by comparing the contour with an actual X-ray image acquired by the photographing unit.
According to a preferred embodiment, the simulation unit is capable of determining the accuracy of the three-dimensional model building based on the relationship between the quantized contrast value and a preset threshold value, and if the predetermined threshold value is exceeded, performing model adjustment on the built three-dimensional model with a tendency of reducing errors, wherein the simulation unit performs future prediction based on the model-adjusted three-dimensional model.
According to a preferred embodiment, the identification unit of the examination system is configured to validate patient identification information at least before the examination begins, in order to determine the patient identification and the past history data based on the examination history of the patient, wherein the relevant setting parameters of the recording unit can be determined based on the past history data of the patient.
According to a preferred embodiment, the past history data can be stored in the storage unit, so that the storage unit can establish a new proprietary data file or retrieve from a corresponding proprietary data file in the storage space in response to the identification unit confirming the patient identity information, wherein the storage unit can realize data intercommunication with the cloud database.
The invention discloses a using method of a fluorine bone disease medical imaging detection system, which adopts any one of the detection systems, wherein the using method comprises the following steps:
the shooting unit can at least determine related setting parameters based on the physical state, the stature, the type structure and/or the past historical data of the target part of the patient, and can set shooting units with a plurality of different shooting angles to acquire a multi-dimensional image of the target part of the patient;
the simulation unit can simulate a three-dimensional model of the target part of the patient in a virtual space, and adjusts and corrects the three-dimensional model based on the X-ray image acquired by the shooting unit to acquire a virtual three-dimensional model matched with an actual model of the target part of the patient;
the simulation unit can predict the future development trend of the disease by combining the current environment of the patient and relevant influence factors on the basis of the simulated three-dimensional model, and display of future prediction is realized through dynamic simulation of the three-dimensional model.
Drawings
FIG. 1 is a simplified block diagram of a preferred embodiment of a fluorosis medical imaging detection system of the present invention;
FIG. 2 is a schematic view of a partial structure of a fluoroossicular medical imaging detection system according to the present invention in a preferred embodiment;
FIG. 3 is a logic flow diagram of a method for using the medical imaging detection system for fluorosis according to the present invention.
List of reference numerals
100: an identification unit; 200: a storage unit; 210: a cloud database; 300: a shooting unit; 301: a first photographing unit; 302: a second photographing unit; 310: a photographing part; 320: an imaging component; 400: an analog unit; 500: a display unit; 600: a control unit; 700: a target site.
Detailed Description
The following detailed description is made with reference to the accompanying drawings.
Fig. 1 is a schematic diagram showing a simplified module connection relationship of a fluoroossium medical imaging detection system of the present invention in a preferred embodiment, fig. 2 is a schematic diagram showing a partial structure of a fluoroossium medical imaging detection system of the present invention in a preferred embodiment, and fig. 3 is a logic flow diagram showing a method for using a fluoroossium medical imaging detection system of the present invention.
Example 1
The invention discloses a fluorine bone disease medical imaging detection system, which comprises a shooting unit 300 for shooting and imaging a target part 700 of a patient and a display unit 500 for displaying an imaging result, wherein the shooting unit 300 can be in signal connection with the display unit 500 to send the imaging result to the display unit 500, so that medical staff can carry out disease analysis based on the imaging result of the display unit 500. Preferably, the photographing unit 300 may be configured as a DR digital X-ray imaging apparatus having advantages of clear images, obvious details of tissue structures and lesions, and various post-processing of images, so as to improve the filming effect, thereby reducing the possibility of erroneous judgment of medical staff due to unclear imaging. Further, the individual's annual maximum absorbed dose should be below 0.3mSv, and there is 10 if the individual's annual maximum absorbed dose prescribed threshold is exceeded-5And can be imaged based on very low X-ray quantity by adopting a DR digital X-ray imaging instrument, and an ideal diagnostic image can be obtained by adopting a digital image processing technology, so that the X-ray dosage received by a patient can be obviously reduced when the patient is shot. Preferably, the display unit 500 may employ a high-definition screen to facilitate medical personnel to better view lesion details of the patient target site 700 through the display unit 500.
According to a preferred embodiment, the photographing unit 300 may be configured as a combination of the photographing part 310 and the imaging part 320, wherein the photographing part 310 and the imaging part 320 can be arranged opposite to each other based on the target portion 700 of the patient, so that the X-rays emitted from the photographing part 310 can pass through the human body and show the difference on the corresponding imaging part 320 based on the different absorption degrees when passing through different tissue structures of the human body, in other words, the photographing part 310 and the imaging part 320 can be respectively arranged at two opposite sides of the target portion 700 of the patient, i.e. the photographing part 310, the target portion 700 of the patient and the imaging part 320 can be on the same straight line in space, and the X-rays emitted from the photographing part 310 are emitted from the photographing part 310 to the imaging part 320 substantially along the extending direction of the straight line.
Preferably, the fluoroossicular medical imaging detection system may be configured with a plurality of photographing units 300 to acquire multi-dimensional images of the target portion 700 of the patient based on different photographing angles, wherein the straight lines of the photographing units 300 may substantially meet the target portion 700 of the patient. Preferably, the medical imaging detection system for fluoroossium may be configured with at least a first photographing unit 301 and a second photographing unit 302, wherein a straight line where the X-rays emitted from the photographing part 310 of the first photographing unit 301 along the first direction are located can be perpendicular to a straight line where the X-rays emitted from the photographing part 310 of the second photographing unit 302 along the second direction are located, so as to maximally acquire the photographed image of the target portion 700 of the patient in a manner of reducing the number of the arranged photographing units 300 as much as possible. Further, the medical imaging detection system for fluoroossium may further be configured with a third shooting unit, wherein the third shooting unit is capable of determining the arrangement position based on the type and/or structure of the target site 700 of the patient, and the like, for example, for an area where the details of the lesion are likely to appear in the target site 700 of the patient, and especially in a case where the details of the lesion cannot be captured well only by the first shooting unit 301 and the second shooting unit 302, the third shooting unit for the area, or even more shooting units, may be provided, and the positions of the shooting units 300 may be reasonably arranged in a sparse and appropriate manner, so as to achieve the overall shooting of the target site 700 of the patient with less cost. Further, to avoid configuring too many capturing units 300 so that the patient absorbs too many X-rays in a single detection, the setting of the capturing units 300 in the fluoroossicular medical imaging detection system can be adjusted based on the physical state of the patient and historical detection data, and the number and positions of the capturing units 300 can be set reasonably under the condition of ensuring the capturing accuracy. Preferably, the relative distances between the photographing part 310 and the imaging part 320 of each photographing unit 300 with respect to the target portion 700 of the patient may be set based on the same value or a certain ratio value, so as to facilitate subsequent analysis of the imaged image, wherein the setting is performed in a form convenient for photographing and imaging according to factors such as the type and/or configuration of the target portion 700 of the patient. For example, the photographing part 310 and the imaging part 320 of any photographing unit 300 have the same distance to the target part 700 of the patient, that is, the target part 700 of the patient is located at the middle position between the photographing part 310 and the imaging part 320 of any photographing unit 300, in other words, the target part 700 of the patient is taken as the center of sphere, the photographing part 310 and the imaging part 320 of each photographing unit 300 can be approximately located on the spherical surface of the same sphere, and the arrangement can enable images photographed by a plurality of photographing units 300 based on different angles to be displayed by the same scale factor, so as to facilitate the diagnosis and analysis of medical staff. For another example, the distances from the photographing part 310 and the imaging part 320 of at least one photographing unit 300 to the patient target site 700 can be increased by multiples, so that the photographing unit 300 is specially set in a case of an angle inconvenient to photograph or a photographing distance requiring closer/farther, or the like. The plurality of movable photographing units 300 are configured to prevent a delay in multi-angle photographing by moving only one photographing unit 300, that is, images photographed at different angles are not in the same time series, and a plurality of images having a difference in time series before and after may be combined due to involuntary movement of a patient or other factors, so that the plurality of photographing units 300 are simultaneously photographed after moving to a designated position based on a control signal of the control unit 600 to acquire images in the same time series, thereby enabling better diagnosis of a disease.
According to a preferred embodiment, the fluoroossicular medical imaging examination system may be configured with a control unit 600 capable of inputting a control signal to the photographing unit 300 based on at least the examination and diagnosis needs of the medical staff, wherein the medical staff may adjust the setting position of the photographing unit 300 with respect to the target portion 700 of the patient through the control unit 600. Further, the photographing unit 300 may be provided with independent driving mechanisms for the photographing part 310 and the imaging part 320 respectively or provided with an integrated driving mechanism together, so that the driving mechanisms may drive the photographing part 310 and the imaging part 320 to move to a designated position around the target portion 700 of the patient corresponding to the control signal input by the control unit 600, wherein when moving the plurality of photographing units 300, a priority sequence may be set for the photographing units 300 that need to be moved to sequentially adjust based on the order of the priority sequence, thereby avoiding the occurrence of collision or jamming of the plurality of photographing units 300 during the moving process. Preferably, the priority sequence of the photographing units 300 may be sorted based on factors such as the type and/or structure of the target part 700 of the patient, for example, the photographing unit 300 for photographing the lesion details may be set to a higher priority sequence, or the photographing unit 300 for photographing the target patient part in the normal direction may be set to a higher priority sequence, so that the photographing unit 300 having the higher priority sequence can secure the accuracy of the set position thereof based on the priority movement of the corresponding driving mechanism. Further, the driving mechanism may move based on the shortest moving path when driving the corresponding photographing unit 300 to move, so as to reduce the vibration of the photographing unit 300 and the operating frequency of the driving mechanism during the moving process, thereby prolonging the service life of the photographing unit 300. The driving mechanism can perform path planning in sequence according to the priority sequence of each shooting unit 300 during the path planning process for the corresponding shooting unit 300 to avoid an obstruction condition in the moving path, for example, after the shooting unit 300 in the high priority sequence is driven by the corresponding driving mechanism to move to a specified position, the shooting unit 300 in the relative secondary priority sequence can move to the specified position along the originally planned shortest moving path or the newly planned shortest moving path based on the current position state along the corresponding driving mechanism under the premise of avoiding the shooting unit 300.
Preferably, the parameters associated with the camera unit 300 (and particularly the camera portion 310) are adapted based on factors such as the type and/or structure of the target portion 700 of the patient, such as elbow, lower leg/knee, pelvis, etc., to obtain more easily analyzed and diagnosed images at the imaging unit. Further, the photographing unit 300 for photographing the target region 700 of the patient at different angles may also adaptively adjust relevant parameters, and optionally, the relevant parameters of the photographing unit 300 may at least include the X-ray irradiation tube voltage and the X-ray tube current amount of the photographing part 310, wherein the X-ray irradiation tube voltage is the voltage across the tube bulb of the photographing part 310 for generating X-rays, and is used for indicating the penetration capability of the X-rays; the X-ray tube current amount is the X-ray irradiation amount of the imaging unit 310, is the product of the tube current of the tube bulb generating the X-ray in the imaging unit 300 and the exposure time at the time of imaging, and is also a main factor controlling the density of the X-ray photograph. For example, the X-ray tube voltage of the imaging unit 310 may be set to 61-65 kV, 63-69 kV and 71-79 kV for the elbow joint positive position, the calf/knee joint positive position and the pelvis positive position, respectively, and the X-ray tube current of the imaging unit 310 may be set to 6-7 mAs, 9-11 mAs and 21-31 mAs for the elbow joint positive position, the calf/knee joint positive position and the pelvis positive position, respectively. Further, the relevant parameters of the photographing unit 300 can be adaptively adjusted according to the physical condition and/or stature of the patient to ensure that the irradiation adjustment is more suitable for the actual conditions of different patients, for example, for a patient with a large stature, the irradiation condition with relatively higher parameters can be selected for photographing, and for a patient with a small stature, the irradiation condition with relatively lower parameters can be selected for photographing, so as to adaptively reduce the influence of the X-ray on different patients on the premise of ensuring the quality of the whole image.
Further, the image of the target region 700 of the patient formed on the imaging part 320 based on the plurality of photographing units 300 can be directly or indirectly transmitted to the display unit 500 for image display, wherein the image indirectly transmitted to the display unit 500 can be displayed on the display unit 500 in the form of a three-dimensional model through model construction.
According to a preferred embodiment, the fluorine bone disease medical imaging detection system can be configured with the simulation unit 400 for model construction, wherein the simulation unit 400 can obtain the initialization condition of the target part 700 of the patient relative to the simulation space based on the spatial position of the target part 700 of the patient acquired by the camera assembly and the knowledge about the anatomical relationship between the body surface and the bones, i.e. the simulation unit 400 can preferentially construct an initial three-dimensional model for the target part 700 of the patient. The simulation unit 400 is enabled to lay a photographing virtual part corresponding to the photographing part 310 position and an imaging virtual part corresponding to the imaging part 320 position at respective positions and distances with respect to the initial three-dimensional model in the virtual space based on the laying position of the photographing unit 300 or the control signal of the driving mechanism input by the control unit 600, and the photographing virtual part and the imaging virtual part are enabled to move synchronously in such a manner that the relative distances are kept consistent with the physical film distances. Further, the simulation unit 400 sequentially performs two-dimensional contour line extraction on the initial three-dimensional model according to the connection sequence in a manner of setting a plurality of sampling points on the contour of the initial three-dimensional model based on the constructed initial three-dimensional model, so that the extracted two-dimensional contour line can be compared and analyzed with the contour line of the X-ray image acquired by the photographing unit 300, thereby facilitating model adjustment. The plurality of sampling points determined based on the position parameters set by the sampling points are distributed on a spherical surface which takes the three-dimensional model as the center and the focal object distance as the radius, the photographing virtual component synchronously and sequentially projects the contour line of the three-dimensional model to the corresponding imaging virtual component according to the connection sequence of the sampling points so as to realize the two-dimensional contour line extraction of the three-dimensional model, wherein the position parameters of the sampling points can comprise sampling intervals, sampling ranges and the like. And comparing the difference between the extracted two-dimensional contour line and the X-ray image contour line to screen out the model contour line with the minimum difference.
Preferably, model adjustment may be performed in stages to ensure accuracy of the established model, wherein the model adjustment may include at least a primary adjustment stage and a secondary adjustment stage. Furthermore, in the primary adjustment stage, the setting of sampling points can be carried out based on a larger sampling interval so as to realize the coarse adjustment of the initial three-dimensional model; the second adjustment stage can set sampling points based on a smaller sampling interval to realize fine adjustment of the coarse adjustment three-dimensional model, wherein the second adjustment stage can perform overall fine adjustment or local fine adjustment or perform overall fine adjustment and then local finer adjustment, and the local adjustment mainly aims at focus details. For example, when the patient has focus details such as "soil sample of bud breaking" change or "wave sample" change and "ice slush" or "wax drop" change, the appropriate sampling point position parameters can be set for the structural features of the changed region to extract the detailed features at the sampling intervals as small as possible. Further, the simulation unit 400 may preset a threshold for model adjustment, so as to evaluate the adjustment effect by determining the relationship between the quantized comparison result and the preset threshold, and may perform an improved optimization of the model adjustment by reselecting the sampling point based on the adjustment of the position parameter when the comparison result exceeds the preset threshold, so as to be more suitable for the actual model of the target portion 700 of the patient. Preferably, the adjustment range of the sampling interval and/or the sampling range when the sampling point is reselected is determined based on a difference between a comparison result of the model adjustment and a preset threshold, wherein the more the comparison result of the model adjustment exceeds the preset threshold, the larger the adjustment range of the sampling point selection parameter is.
Further, the model adjustment further includes a rendering stage to perform color rendering based on the X-ray image acquired by the photographing unit 300, wherein the three-dimensional model after structure adjustment can be rendered by adopting colors of different colors and/or different shades, so that medical staff and patients can acquire symptoms and symptoms periods more intuitively based on the image. For example, disorder characterizations can include osteoporosis, osteoporosis and malacia, mixed changes (bone turnover), periosseous and articular changes, and the like; the disease period may include mild, moderate, severe.
Preferably, the rendering stage can be advantageously accomplished by means of the computing power of the display unit 500 after the simulation unit 400 sends the structurally adapted three-dimensional model to the display unit 500. The method is advantageous because certain computing power and memory are consumed for rendering the focus details, and particularly for some regions with special structures and irregular shapes, more computing cost is required to be invested to ensure the accuracy of the rendered regions, so that misjudgment of medical staff due to unmatched rendering is avoided. In order to reduce the load of the simulation unit 400 on actual physical operations besides the operations of model building, model adjustment, and even future prediction, and reduce the production and operation costs of configured software and hardware, the rendering operation completed by the display unit 500 can be directly completed in the corresponding region during the display period, and the data transmission amount and transmission frequency between the units are also reduced, thereby maintaining the stability of system operation. Further, the display unit 500 may also be a user terminal, such as a smart phone, a tablet, or the like, so that a user (especially a patient) can refer to the two-dimensional image and/or the three-dimensional model at any time.
According to a preferred embodiment, the fluoroossicular medical imaging examination system can be configured with an identification unit 100 for patient information confirmation and a storage unit 200 for storing patient examination information, wherein the identification unit 100 can be signal-connected to the storage unit 200, so that the storage unit 200 can establish a proprietary data file for a new patient or retrieve data in a corresponding proprietary data file for an old patient in response to confirmation of the identification unit 100 for current patient information. Further, the current detection data can be stored in the storage unit 200 independently or together with the past history data after the diagnosis is finished, so that the patient can be called for the next time series examination. Preferably, the storage unit 200 can carry out data intercommunication with the cloud database 210 to when the patient carried out fluorine bone disease detection at different detection institution, local detection institution can download the past historical data of this patient from the first detection to the present through the cloud data, so that medical personnel can in time grasp this patient's past condition fast. Preferably, the cloud database 210 can classify the patient based on the disease characterization and disease period, so that the medical staff using the fluoroossicular medical imaging detection system can obtain the future development condition and the optimal treatment plan of the current patient disease based on big data statistics.
Preferably, the recognition unit 100 grasps the frequency of X-ray detections recently received by the patient (e.g., the current year) and the related parameters set by the photographing unit 300 at each detection based on confirmation of the patient information to adjust the related parameters of the photographing unit 300 based on the physical state of the patient, the target region 700 to be photographed, and/or the image clarity requirement. For example, the patient has been subjected to X-ray detection frequently many times in the current year, and the parameters corresponding to the irradiation conditions can be appropriately reduced during the detection of the current sequence and even the subsequent sequence, so as to reduce the negative influence on the body of the patient.
Preferably, the simulation unit 400 is capable of making future predictions of the currently established virtual three-dimensional model based on the working environment and/or the living environment of the patient, so that medical staff can determine a proper treatment scheme according to the development condition of the disease symptoms and the patients can visually see adverse reactions caused by the aggravation of the disease symptoms, thereby facilitating the patient to carry out treatment more cooperatively, and if necessary, determining the influence of the environment of the patient on the fluorosis based on the measurement of the blood fluorine content and the urine fluorine content of the patient so as to realize the correction of the future prediction, wherein the future prediction is based on the prediction of the future development of the disease condition under the condition that the patient is in the current environment (including the working environment mainly causing industrial fluorine diseases and/or the living environment mainly causing endemic fluorine diseases) capable of taking a large amount of fluorine for a long time and cannot leave for a short time, and the simulation unit 400 can realize high-precision prediction by means of the large data sharing mode of the cloud database 210. However, when a situation occurs in which the trend of the patient's fluorosis disease in the future is likely to be reduced or aggravated due to a change in the nature of work, a change in the lifestyle, and/or an intervention in a treatment, etc., and even a change along an unpredictable trend is caused based on the superposition of a plurality of factors, the simulation unit 400 may give a prediction with a relatively low accuracy with respect to a single variable. Preferably, the future prediction data of the simulation unit 400 can also be stored in the corresponding file of the storage unit 200.
Further, when the patient is detected in the next time series, the detection data acquired in the time series can be compared with the future prediction data acquired in the last time series relative to the time series, so that the prediction accuracy can be judged while the disease development condition of the patient is determined, and the simulation unit 400 can perform prediction learning based on deep learning methods such as a convolutional neural network and the like, thereby improving the accuracy of prediction. Furthermore, especially for patients who do not change the current environment and do not actively cooperate with treatment according to medical orders, the prediction accuracy can be better judged, and then the patients can be made to realize the serious consequences of measures such as environment change or treatment intervention and the like through more accurate future prediction again, and the serious consequences have high occurrence probability, so that the patients are persuaded to actively cooperate with treatment with higher confidence. Meanwhile, the learning results of the simulation unit 400 can also be uploaded to the cloud database 210 to share the learning experience.
Preferably, the simulation unit 400 can realize the future prediction of the disease condition development situation based on the metauniverse theory, that is, simulate the future development dynamics of the disease condition suffered by the patient under the combined action of technologies such as extended reality (XR), block chains, cloud computing, digital twins and the like, so that both medical staff and the patient can visually see the consequences of the disease condition development and/or the influence of treatment intervention, thereby facilitating the medical staff to better select a treatment scheme and/or the patient to more actively cooperate with the treatment. Further, the simulation unit 400 can simulate a virtual environment in the metastic virtual world based on the working environment and/or the living environment of the patient, so as to further improve the accuracy of predicting the future development of the patient disease.
Example 2
The present embodiment is based on the method for using the fluorosis medical imaging detection system in embodiment 1, and repeated contents are not repeated.
The using method of the fluorine bone disease medical imaging detection system at least comprises the following steps:
s1, identifying patient identity information through an identification unit 100 to determine patient identities and past history data based on detection histories of patients, wherein the patient identities can comprise new patients without past history data and old patients with past history data;
s2, the storage unit 200 responds to the identification unit 100 to determine the identity information of the patient, establishes a dedicated data file for a new patient or calls past historical data from the dedicated data file for an old patient, wherein the storage unit 200 can realize data intercommunication with the cloud database 210 to download past historical data of the patient detected by other detection mechanisms or download past historical data of the patient detected by the detection mechanism and deleted by the storage unit 200 due to reasons such as data abnormity during cleaning or storage of a storage space;
s3, the shooting unit 300 can at least determine relevant setting parameters based on the physical state, the stature, the type structure and/or the past history data of the patient, and can set the shooting units 300 at a plurality of different shooting angles to acquire multi-dimensional images of the target part 700 of the patient;
s4, the simulation unit 400 can simulate a three-dimensional model of the target part 700 of the patient in a virtual space, and can adjust and correct the three-dimensional model based on the X-ray image acquired by the shooting unit 300 to acquire the three-dimensional model matched with the actual model of the target part 700 of the patient;
s5, the simulation unit 400 can predict the future development trend of the disease by combining the current environment of the patient and relevant influence factors on the basis of the simulated three-dimensional model and realize the display of the future prediction through the dynamic simulation of the three-dimensional model, wherein the simulation unit 400 can improve the prediction accuracy based on a deep learning algorithm;
s6, the display unit 500 at least can receive and display the two-dimensional image or the three-dimensional model in one or more steps of S3, S4 and S5 so as to facilitate diagnosis of medical staff;
s7, the detection data can be stored in the special data file of the patient corresponding to the storage unit 200 as past historical data and/or uploaded to the cloud database 210 through the storage unit 200.
It should be noted that the above-mentioned embodiments are exemplary, and that those skilled in the art, having benefit of the present disclosure, may devise various arrangements that are within the scope of the present disclosure and that fall within the scope of the invention. It should be understood by those skilled in the art that the present specification and figures are illustrative only and are not limiting upon the claims. The scope of the invention is defined by the claims and their equivalents. The present description contains several inventive concepts, such as "preferably", "according to a preferred embodiment" or "optionally", each indicating that the respective paragraph discloses a separate concept, the applicant reserves the right to submit divisional applications according to each inventive concept. Throughout this document, the features referred to as "preferably" are only an optional feature and should not be understood as necessarily requiring that such applicant reserves the right to disclaim or delete the associated preferred feature at any time.
Claims (10)
1. A fluoroossicular medical imaging detection system, comprising:
an imaging unit (300) for taking an X-ray image of a target region (700) of a patient,
a display unit (500) for displaying the detection result in the form of an image or a model,
a control unit (600) for inputting a control signal,
it is characterized in that the preparation method is characterized in that,
the detection system can be provided with a simulation unit (400) which establishes a three-dimensional model of the target part (700) of the patient in a virtual space, the three-dimensional model of the simulation unit (400) is established based on a control signal transmitted by the control unit (600) to the shooting unit (300) and is obtained by adjusting after comparing with an X-ray image actually acquired by the shooting unit (300),
the simulation unit (400) can predict the future development trend of the disease by combining the current environment of the patient and relevant influence factors on the basis of the simulated three-dimensional model, and display of the future prediction is realized through dynamic simulation of the three-dimensional model.
2. The detection system according to claim 1, wherein the display unit (500) is capable of presenting two-dimensional images and/or three-dimensional models acquired by at least one of the capturing unit (300) and the simulation unit (400), wherein the three-dimensional models presented by the display unit (500) comprise actual models and/or predicted future models simulated by the simulation unit (400).
3. The detection system according to claim 1 or 2, wherein the capturing units (300) can be arranged in at least two groups at different capturing angles relative to the target region (700) of the patient, wherein the display units (500) can be arranged in a priority sequence.
4. The detection system according to any one of claims 1 to 3, wherein the photographing unit (300) is configured with photographing means (310) and corresponding imaging means (320) respectively disposed at opposite sides of the target portion (700) of the patient, wherein X-rays emitted from the photographing means (310) and irradiated to the target portion (700) of the patient can be received by the imaging means (320) to display an X-ray image.
5. The detection system according to any one of claims 1 to 4, wherein the photographing units (300) are individually or commonly configured with a driving mechanism to move the photographing units (300) according to the control signal input by the control unit (600) via the driving mechanism, wherein the driving mechanism moves the photographing units (300) correspondingly based on a priority sequence.
6. The inspection system according to any one of claims 1 to 5, wherein the simulation unit (400) is capable of virtually setting a corresponding photographing virtual component and a corresponding imaging virtual component in a virtual space based on a control signal input from the control unit (600) or a setting position of the photographing unit (300), extracting a contour of the three-dimensional model created based on the set sampling point, and judging the accuracy of the three-dimensional model creation by comparing the contour with an actual X-ray image acquired by the photographing unit (300).
7. The detection system according to any one of claims 1 to 6, wherein the simulation unit (400) is capable of determining the accuracy of the three-dimensional model establishment based on the relationship between the quantized contrast value and a preset threshold value, and if the preset threshold value is exceeded, performing model adjustment on the established three-dimensional model with a tendency of reducing errors, wherein the simulation unit (400) performs future prediction based on the model-adjusted three-dimensional model.
8. The detection system according to any one of claims 1 to 7, characterized in that the detection system is provided with a recognition unit (100) capable of validating patient identity information at least before the start of the detection, in order to determine the identity of the patient and past history data based on the patient's detection history, wherein the relevant setting parameters of the camera unit (300) can be determined based on the past history data of the patient.
9. The detection system according to any one of claims 1 to 8, wherein the past history data can be stored in a storage unit (200) so that the storage unit (200) can create a new proprietary data file or retrieve from a corresponding proprietary data file in a storage space in response to the identification unit (100) confirming the patient identity information, wherein the storage unit (200) can communicate with a cloud database (210).
10. A method for using a fluoroossicular medical imaging detection system, wherein the detection system of any one of the preceding claims is adopted in the method, wherein the method comprises the following steps:
the shooting unit (300) can at least determine relevant setting parameters based on the physical state, the stature, the type structure and/or the past history data of the patient, and can set the shooting unit (300) at a plurality of different shooting angles to acquire a multi-dimensional image of the target part (700) of the patient;
the simulation unit (400) can simulate a three-dimensional model of a target part of a patient in a virtual space and adjust and correct the three-dimensional model based on the X-ray image acquired by the shooting unit so as to acquire a virtual three-dimensional model matched with an actual model of the target part (700) of the patient;
the simulation unit (400) can predict the future development trend of the disease by combining the current environment of the patient and relevant influencing factors on the basis of the simulated three-dimensional model, and display of the future prediction is realized through dynamic simulation of the three-dimensional model.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114842985A (en) * | 2022-06-30 | 2022-08-02 | 北京超数时代科技有限公司 | Virtual reality diagnosis and treatment system under meta-universe scene |
| CN116098595A (en) * | 2023-01-16 | 2023-05-12 | 广东海纳医疗科技有限公司 | System and method for monitoring and preventing sudden cardiac death and sudden cerebral death |
-
2021
- 2021-12-10 CN CN202111513409.XA patent/CN114145761A/en not_active Withdrawn
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114842985A (en) * | 2022-06-30 | 2022-08-02 | 北京超数时代科技有限公司 | Virtual reality diagnosis and treatment system under meta-universe scene |
| CN114842985B (en) * | 2022-06-30 | 2023-12-19 | 北京超数时代科技有限公司 | Virtual reality diagnosis and treatment system under meta-universe scene |
| CN116098595A (en) * | 2023-01-16 | 2023-05-12 | 广东海纳医疗科技有限公司 | System and method for monitoring and preventing sudden cardiac death and sudden cerebral death |
| CN116098595B (en) * | 2023-01-16 | 2023-09-05 | 广东海纳医疗科技有限公司 | System and method for monitoring and preventing sudden cardiac death and sudden cerebral death |
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