CN111870825B - Radiation therapy accurate field-by-field positioning method based on virtual intelligent medical platform - Google Patents
Radiation therapy accurate field-by-field positioning method based on virtual intelligent medical platform Download PDFInfo
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- CN111870825B CN111870825B CN202010763326.5A CN202010763326A CN111870825B CN 111870825 B CN111870825 B CN 111870825B CN 202010763326 A CN202010763326 A CN 202010763326A CN 111870825 B CN111870825 B CN 111870825B
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N5/00—Radiation therapy
- A61N5/10—X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
- A61N5/103—Treatment planning systems
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N5/00—Radiation therapy
- A61N5/10—X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
- A61N5/1048—Monitoring, verifying, controlling systems and methods
- A61N5/1049—Monitoring, verifying, controlling systems and methods for verifying the position of the patient with respect to the radiation beam
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N5/00—Radiation therapy
- A61N5/10—X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
- A61N2005/1092—Details
- A61N2005/1097—Means for immobilizing the patient
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Abstract
The application relates to the field of medical treatment, in particular to a radiation therapy accurate field-by-field positioning method based on a virtual intelligent medical platform, which improves positioning accuracy and reduces additional radiation. Pasting a marker on the body surface of a patient; then making a treatment plan, and marking the center coordinates of the markers in a treatment plan system by a physicist, and generating a three-dimensional model according to the treatment plan; according to the automatic identification of the position of the patient by the marker, the position of the irradiation field is determined according to the position of the accelerator, and the three-dimensional hologram of the structures such as skin, a treatment target area, organs endangered and the like can be accurately overlapped on the real patient, can be intuitively displayed in the visual field, and is convenient for observing the position of the structures such as the treatment target area and the like in the patient. The medical staff can observe the superposition condition of the treatment target area and the field outline of the current angle shooting at different positions, intelligently and quantitatively calculate the superposition degree, give out the moving direction and the distance value in real time, and improve the positioning precision. The patient does not need to bear extra radiation dose, and the pain of the patient can be reduced.
Description
Technical Field
The application relates to the field of medical treatment, in particular to a radiation therapy accurate field-by-field positioning method based on a virtual intelligent medical platform, which is mainly applied to radiation therapy and used for improving positioning accuracy and reducing additional radiation.
Background
The virtual intelligent medical platform (VI) is a medical platform constructed based on holographic technologies such as virtual reality, augmented reality, mixed reality and the like, artificial intelligence, big data and the like, is used for assisting and guiding invasive, minimally invasive and noninvasive clinical diagnosis and treatment processes, and can be applied to the fields including but not limited to surgery, internal medicine, radiotherapy department, interventional department and the like.
Malignant tumors are major chronic diseases that seriously jeopardize human health. Radiotherapy is one of the main means of tumor treatment, is a local treatment means, and can improve the local tumor control rate by improving the tumor irradiation dose.
The complete radiotherapy process includes the steps of radiotherapy decision, radiotherapy positioning, target region drawing and treatment plan designing, treatment room positioning, treatment implementation, etc. The positioning of the treatment room is an important link for ensuring the curative effect of accurate radiotherapy, if errors occur in positioning, the focus cannot obtain sufficient irradiation dose to cause local recurrence, and meanwhile, healthy tissues around the tumor are complicated by excessive irradiation dose. However, even with various auxiliary positioning devices and positioning according to strict operating regulations, positioning errors can be several millimeters or even greater during the patient's treatment of several times. In order to solve the problems, the positioning result is verified after the positioning is finished in clinic at present, so that the positioning error is reduced.
At present, clinical positioning verification mainly adopts a kV-level X-ray imaging technology or an airborne cone CT (CBCT) technology. Image guidance techniques based on X-ray imaging techniques are those that determine the position of a patient or lesion (e.g., tumor) by 2D-3D (two-dimensional-three dimensional) image registration of single or multiple X-ray fluoroscopic images and treatment planning CT, and that achieve accurate treatment of the tumor by moving the treatment couch to adjust the patient position prior to treatment. The image guiding technology based on the CBCT technology realizes the positioning of the patient before treatment by performing 3D-3D (three-dimensional-three-dimensional) image registration on the CBCT generated on line and the treatment plan CT.
The disadvantages of the two methods are:
neither the tumor nor the radiation can be visually observed during the treatment.
During the radiation treatment cycle, the patient is exposed to non-therapeutic radiation multiple times, requiring additional X-ray radiation doses, and the equipment costs are high.
At present, IGRT is used for correcting the patient as a whole; even if the registration process registers the tumor from the cross-section, sagittal, coronal planes, it is not known whether the tumor falls into the irradiation field when the gantry is rotated to the angle at which the irradiation is performed.
Disclosure of Invention
Aiming at the defects in the prior art, the application provides a radiation therapy accurate field-by-field positioning method based on a virtual intelligent medical platform, which improves positioning accuracy and reduces additional radiation.
The technical scheme adopted by the application is as follows: a radiation therapy accurate field-by-field positioning method based on a virtual intelligent medical platform comprises the following steps:
a. labeling the accelerator and the patient, and performing CT scanning on the patient;
b. making a treatment plan according to the CT image of the patient and generating a three-dimensional model;
c. the holographic glasses recognize the marker to obtain positioning information, and the holographic image of the three-dimensional model is overlapped and registered with the patient, and the irradiation field is overlapped and registered with the accelerator;
d. and automatically calculating the overlap ratio, giving a moving bed value, and preparing for radiotherapy.
In step b, the body surface model features and tumor model features of the patient are generated according to the treatment plan in order to better realize the application.
To better implement the application, the markers contain spatial location information.
To better implement the application, the marker uses an object having specific two-dimensional image characteristics.
In order to better realize the application, in the step b, the illness state of the patient is judged according to the CT scanning image, a treatment target area and a jeopardizing organ are drawn, and a corresponding three-dimensional model is generated.
In order to better realize the application, in the step c, the fixing device is firstly placed, then the patient is positioned in the treatment position according to the doctor's advice, and then the holographic images of the treatment target area and the organs at risk are projected to the position of the patient, so that the holographic images and the patient are in overlapped registration.
In order to better realize the application, the positioning can be quickly found out through the marker when the holographic image is overlapped with the patient.
In order to better realize the application, in the step d, when the holographic images of the treatment target area and the organs at risk coincide with the patient, the irradiation field is projected onto the patient, the position of the treatment target area is verified, the moving bed value is given to ensure the accurate position, and the radiotherapy preparation is made.
The beneficial effects of the application are as follows: the application relates to a radiation therapy accurate wild-by-wild positioning method based on a virtual intelligent medical platform, which comprises the steps of firstly, pasting a marker on the body surface of a patient; then making a treatment plan, and marking the center coordinates of the markers in a treatment plan system by a physicist, and generating a three-dimensional model according to the treatment plan; when the device is positioned, the position of a patient is automatically identified according to the marker, the position of an irradiation field is determined according to the position of the accelerator, and the device is matched with mixed reality equipment, so that three-dimensional holograms of the structures such as skin, a treatment target area, organs endangered and the like can be accurately overlapped on a real patient, can be intuitively displayed in a visual field, and is convenient for observing the position of the structures such as the treatment target area and the like in the patient. The medical staff can observe the superposition condition of the treatment target area and the field outline of the current angle shooting at different positions, intelligently and quantitatively calculate the superposition degree, give out the moving direction and the distance value in real time, and improve the positioning precision. The patient does not need to bear extra radiation dose, and the pain of the patient can be reduced.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. Like elements or portions are generally identified by like reference numerals throughout the several figures. In the drawings, elements or portions thereof are not necessarily drawn to scale.
FIG. 1 is a flow chart of a method for accurate field-by-field positioning of radiation therapy based on a virtual intelligent medical platform of the present application;
FIG. 2 is a schematic diagram of a treatment apparatus according to the method of accurate field-by-field positioning for radiotherapy based on a virtual intelligent medical platform of the present application;
in the figure, 1-rack, 2-treatment bed, 3-bottom plate, 4-patient, 6-irradiation field, 7-skin, 8-treatment target area.
Detailed Description
Embodiments of the technical scheme of the present application will be described in detail below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present application, and thus are merely examples, and are not intended to limit the scope of the present application.
It is noted that unless otherwise indicated, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this application belongs.
Example 1:
as shown in fig. 1 and 2, the accurate field-by-field positioning method for radiotherapy based on a virtual intelligent medical platform provided by the application comprises the following steps:
a. labeling the accelerator and the patient 4, and performing CT scanning on the patient 4;
b. a treatment plan is formulated according to the CT image of the patient 4, and a three-dimensional model is generated;
c. the holographic glasses recognize the marker to obtain positioning information, the holographic image of the three-dimensional model is overlapped and registered with the patient 4, and the irradiation field 6 is overlapped and registered with the accelerator;
d. and automatically calculating the overlap ratio, giving a moving bed value, and preparing for radiotherapy.
The application relates to a radiation therapy accurate wild-by-wild positioning method based on a virtual intelligent medical platform, which comprises the steps of firstly, pasting a marker to a patient 4 and shooting CT for the patient 4; then, a treatment plan is formulated according to the body surface model characteristics and the tumor model characteristics of the patient, and a three-dimensional model is generated; then overlapping the three-dimensional model with the patient 4 through the holographic image, and adjusting the position to enable the three-dimensional model to be overlapped; the irradiation field 6 is projected to the affected part of the patient through the holographic image, the position of the patient 4 is verified, and the preparation for radiotherapy is prepared. The three-dimensional holographic images of the structures such as skin, a treatment target area, organs endangered and the like can be accurately overlapped on the real patient 4 by matching with the mixed reality equipment, can be intuitively displayed in the visual field, and is convenient for observing the positions of the structures such as the treatment target area and the like in the patient 4. By matching with the mixed reality equipment, a medical worker can observe the superposition condition of the treatment target area 8 and the current angle shooting field outline at different positions, intelligently and quantitatively calculate the superposition degree, give out the moving direction and the distance value in real time, and improve the positioning precision. Patient 4 need not bear extra radiation dose, can reduce patient's misery, improves the treatment.
Example 2:
on the basis of the above embodiment, in the step b, the body surface model feature and the tumor model feature of the patient are generated according to the treatment plan in order to further better implement the present application.
Example 3:
on the basis of the embodiment, in order to further and better implement the application, the marker contains space position information, so that the marker can be conveniently and quickly positioned and correct deviation conveniently, and preferably, the marker adopts an object with specific two-dimensional image characteristics, and the object with the specific two-dimensional image characteristics contains corresponding position information.
Preferably, in the step b, the condition of the patient 4 is determined according to the CT scan image, and the treatment target area 8 and the organs at risk are drawn to generate a corresponding three-dimensional model.
Example 4:
on the basis of the above embodiment, in order to further better implement the present application, in the step c, the base plate 3 is replaced, the patient 4 is lowered, and then the patient is laid down, and then the patient is moved to the treatment position, and then the holographic image of the target area 8 and the organs at risk is projected to the position of the patient 4, so that the holographic image and the patient are in overlapping registration.
Preferably, the positioning is quickly found by the marker when the hologram and the patient are superimposed.
Example 5:
in the step d, after the holographic images of the target area 8 and the organs at risk coincide with the patient 4, the irradiation field 6 is projected onto the patient 4, the position of the target area 8 is verified, the moving bed value is given to ensure the accurate position, the radiotherapy preparation is made, the position fine adjustment can be conveniently performed through the three-dimensional holographic image, the accurate position of the radiotherapy is ensured, the redundant radiation is reduced, and the injury to the patient is reduced.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the application, and are intended to be included within the scope of the appended claims and description.
Claims (6)
1. The accurate field-by-field positioning method for radiotherapy based on the virtual intelligent medical platform is characterized by comprising the following steps of:
a. labeling an accelerator and a patient (4), and performing CT scanning on the patient, wherein the label adopts an object with specific two-dimensional image characteristics, and corresponding position information is included in the object with the specific two-dimensional image characteristics;
b. a treatment plan is formulated according to CT images of a patient (4), and a three-dimensional model is generated;
c. the holographic glasses recognize the marker to obtain positioning information, the holographic image of the three-dimensional model is overlapped and registered with the patient (4), and the irradiation field (6) is overlapped and registered with the accelerator;
d. automatically calculating the overlap ratio, giving a moving bed value, and preparing for radiotherapy;
in the step d, after the holographic images of the treatment target area (8) and the organs at risk are overlapped with the patient (4), a medical worker can observe the overlapping condition of the treatment target area and the current angle shooting field outline at different positions, intelligently and quantitatively calculate the overlapping ratio, give out the moving direction and the distance value in real time, and prepare for radiotherapy.
2. The accurate field-by-field positioning method for radiotherapy based on a virtual intelligent medical platform according to claim 1, wherein the method comprises the following steps: in the step b, the body surface model characteristics and the tumor model characteristics of the patient are generated according to the treatment plan.
3. The accurate field-by-field positioning method for radiotherapy based on the virtual intelligent medical platform according to claim 2, wherein the method comprises the following steps: the marker contains spatial position information.
4. The accurate field-by-field positioning method for radiotherapy based on a virtual intelligent medical platform according to claim 1, wherein the method comprises the following steps: in the step b, the illness state of the patient (4) is judged according to the CT scanning image, a treatment target area (8) and organs at risk are drawn, and a corresponding three-dimensional model is generated.
5. The accurate field-by-field positioning method for radiotherapy based on the virtual intelligent medical platform according to claim 4, wherein the method comprises the following steps: in the step c, the fixing device is firstly placed, then the patient (4) is positioned in the treatment position according to the doctor's advice, and then the holographic image of the treatment target area (8) and the organs at risk is projected to the position of the patient (4), so that the holographic image and the patient are overlapped and registered.
6. The accurate field-by-field positioning method for radiotherapy based on the virtual intelligent medical platform according to claim 5, wherein the method comprises the following steps: when the holographic image is overlapped with the patient, the positioning is quickly found out through the marker.
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| CN113041516B (en) * | 2021-03-25 | 2022-07-19 | 中国科学院近代物理研究所 | Method, system, processing equipment and storage medium for guiding positioning of three-dimensional image |
| CN114306956B (en) * | 2021-03-29 | 2024-06-04 | 上海联影医疗科技股份有限公司 | Spiral fault radiotherapy system based on virtual intelligent medical platform |
| CN114452546A (en) * | 2021-09-26 | 2022-05-10 | 西安大医集团股份有限公司 | Radiotherapy monitoring system and control method thereof |
| CN113893466A (en) * | 2021-11-16 | 2022-01-07 | 四川省肿瘤医院 | Method for determining CT positioning center |
| CN114403915B (en) * | 2022-01-28 | 2023-03-24 | 首都医科大学附属北京友谊医院 | Scanning system, apparatus, method, device and medium with positioning apparatus |
| CN115317144B (en) * | 2022-07-19 | 2023-03-21 | 姜勇 | Auxiliary operation system and operation robot in radiation therapy or ablation therapy process |
| CN117323584B (en) * | 2023-10-18 | 2024-03-29 | 迈胜医疗设备有限公司 | Electronic device for radiation treatment plan adjustment, radiation treatment system and related apparatus |
| CN117379709B (en) * | 2023-12-08 | 2024-02-23 | 中国人民解放军空军特色医学中心 | Radiotherapy positioning system |
| CN117899381A (en) * | 2024-01-22 | 2024-04-19 | 山东第一医科大学附属肿瘤医院(山东省肿瘤防治研究院、山东省肿瘤医院) | Method and system for guiding radiotherapy positioning of body position of flexor by combining structured light body surface imaging and augmented reality technology |
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