CN110215621B - Outer contour extraction method and device, treatment system and computer storage medium - Google Patents
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Abstract
The invention relates to an outer contour extraction method and device, a treatment system and a computer storage medium. The method comprises the following steps: acquiring a three-dimensional image of a target object comprising a fixing device; acquiring a medical image of the target object; acquiring a first outer contour of the target object according to the three-dimensional image; acquiring a second outer contour of the target object according to the medical image; and determining an outer contour of the target object according to the first outer contour and the second outer contour. The outer contour extraction method can realize the extraction of the outer contour of the target object containing the fixing device.
Description
Technical Field
The invention relates to the technical field of medical equipment, in particular to an outer contour extraction method and device, a treatment system and a computer storage medium.
Background
Radiotherapy equipment mainly destroys the cell DNA of tumor tissue through emitting high-energy rays and focusing in multiple angles so as to achieve the purpose of killing the tumor tissue. Before treatment, the irradiation angle needs to be designed in a radiotherapy planning system, simulation calculation of the ray dose is carried out based on a physical model of a machine, and the real treatment can be carried out after evaluation and approval of a doctor.
An important step in the planning process is to determine the outer contours of the body surface of the tissues (normal organs, focal regions) in the human body. The outer contour of the body surface is the more important one of all contours and is usually used as a boundary for calculating the actual dose. The common outline extraction algorithm is based on atlas models and HU (Hounsfield unit) values of Computed Tomography (CT) images, and can achieve clinical requirements on the condition of extracting the body surface of a human body. However, in the actual treatment process, in order to prevent the patient from moving during the treatment process, a fixing device is often placed on the human body. This portion is actually absorbing for the rays and therefore needs to be contained within the outer contour during the dose simulation calculation. Since this part of the material is usually a net structure, the boundary in the CT image is blurred and not easily recognized, and is not easily automatically included in the above several boundary extraction algorithms.
Disclosure of Invention
In view of the above, it is necessary to provide an outer contour extraction method and apparatus, a treatment system, and a computer storage medium for solving the problem that the conventional boundary extraction algorithm cannot extract an outer contour including a fixture.
An outer contour extraction method for extracting an outer contour of a target object including a fixture, the method comprising:
acquiring a three-dimensional image of a target object comprising a fixing device;
acquiring a medical image of the target object;
acquiring a first outer contour of the target object according to the three-dimensional image;
acquiring a second outer contour of the target object according to the medical image; and
determining an outer contour of the target object according to the first outer contour and the second outer contour.
According to the outer contour extraction method, the three-dimensional image and the medical image of the target object containing the fixing device are obtained, the three-dimensional image is used for obtaining the first outer contour of the target object, the medical image is used for obtaining the second outer contour of the target object, the outer contour of the target object is determined according to the first outer contour and the second outer contour, and then the outer contour of the target object containing the fixing device is extracted.
In one embodiment, in the step of acquiring a three-dimensional image of the target object including the fixing device, the three-dimensional image is acquired by a three-dimensional camera.
In one embodiment, in the step of acquiring the three-dimensional image of the target object including the fixing device, the three-dimensional image is obtained by combining more than two three-dimensional cameras; each three-dimensional camera has a different orientation relative to the target object.
In one embodiment, the three-dimensional image of the target object is an optical image. In one embodiment, the first outer contour and the second outer contour are based on the same spatial coordinate system.
In one embodiment, the medical image is a computed tomography image.
In one embodiment, in the step of acquiring the second outer contour of the target object according to the medical image, a skin contour of the target object is acquired as the second outer contour according to a skin contour segmentation algorithm.
In one embodiment, the step of determining the outer contour of the target object according to the first outer contour and the second outer contour comprises:
acquiring all axial layers passing through the second outer contour according to the second outer contour;
sequentially determining a first outer contour and a second outer contour corresponding to the spatial information according to the spatial information of each axial layer;
acquiring a merging interval of a first outer contour and a second outer contour under the same spatial information to determine a contour boundary under the spatial information; and
and determining the outer contour of the target object according to the contour boundary under the spatial information corresponding to each axial layer.
In one embodiment, a medical image of the target object is acquired by an imaging device; the three-dimensional image is a three-dimensional image obtained by shooting the target object before entering the image equipment and/or after being moved out of the image equipment.
In one embodiment, the step of acquiring a three-dimensional image of a target object including a fixture includes acquiring a first three-dimensional image obtained before acquiring a medical image of the target object and acquiring a second three-dimensional image after acquiring the medical image of the target object;
the method further comprises the following steps:
judging whether the target object moves or not according to the first three-dimensional image and the second three-dimensional image;
when the target object moves, returning to the step of acquiring the medical image of the target object; and
and when the target object does not move, executing the step of acquiring the first outer contour of the target object according to the three-dimensional image.
In one embodiment, the step of acquiring a three-dimensional image of a target object including a fixture further comprises: the target object is moved such that a treatment isocenter of the target object coincides with an isocenter of a treatment apparatus or CT simulator.
An outer contour extraction device for extracting an outer contour of a target object including a fixture includes:
the first acquisition module is used for acquiring a three-dimensional image of a target object containing a fixing device;
the second acquisition module is used for acquiring a medical image of the target object;
the first processing module is used for acquiring a first outer contour of the target object according to the three-dimensional image;
the second processing module is used for acquiring a second outer contour of the target object according to the medical image; and
and the third processing module is used for determining the outer contour of the target object according to the first outer contour and the second outer contour.
A computer storage medium having stored thereon a computer program for performing the steps of the method according to any of the preceding embodiments when executed by a processor.
A therapeutic system, comprising:
a patient bed for carrying a target object and positioning the target device to the treatment system;
a fixation device for fixing the target subject on the patient bed;
the imaging device is used for shooting a medical image of the target object; and
the control equipment is connected with the imaging equipment; the control device is further configured to execute the outer contour extraction method according to any one of the preceding embodiments.
In one embodiment, the system further comprises a three-dimensional camera connected with the control device; the three-dimensional camera is used for shooting a three-dimensional image of a target object containing the fixing device.
Drawings
FIG. 1 is a flowchart illustrating an outer contour extraction method according to an embodiment.
Fig. 2 is a flowchart illustrating the step S150 according to an embodiment.
FIG. 3 is a schematic view of an axial layer in one embodiment.
FIG. 4 is a schematic illustration of a first outer contour and a second outer contour obtained in an embodiment.
FIG. 5 is a schematic diagram of the resulting outer profile in one embodiment.
FIG. 6 is a flowchart illustrating an outline extraction method according to another embodiment.
FIG. 7 is a block diagram of an outer contour extraction apparatus in an embodiment.
Fig. 8 is a block diagram of an outer contour extraction device in another embodiment.
Fig. 9 is a schematic structural diagram of a treatment system in an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In the description of the present application, it is to be understood that the terms "center", "lateral", "upper", "lower", "left", "right", "vertical", "horizontal", "top", "bottom", "inner" and "outer" etc. indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience in describing the present application and simplifying the description, but do not indicate or imply that the referred device or element must have a particular orientation, be constructed in a particular orientation, and be operated, and thus should not be construed as limiting the present application. Further, when an element is referred to as being "formed on" another element, it can be directly connected to the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. In contrast, when an element is referred to as being "directly on" another element, there are no intervening elements present.
FIG. 1 is a flowchart illustrating an outer contour extraction method according to an embodiment. The method is an important process in the process of making a treatment plan and can be realized by a treatment system. The treatment system includes a treatment planning system and a treatment device. In the present embodiment, the treatment planning system is described by taking a radiotherapy planning system as an example. The radiotherapy planning system is mainly used for making a radiotherapy plan so that the radiotherapy equipment performs radiotherapy on a target object according to the radiotherapy plan. Radiotherapy equipment mainly destroys the cell DNA of tumor tissue through emitting high-energy rays and focusing in multiple angles so as to achieve the purpose of killing the tumor tissue. Before treatment, the irradiation angle needs to be designed in a radiotherapy planning system, simulation calculation of the ray dose is carried out based on a physical model of a machine, and the real treatment can be carried out after evaluation and approval of a doctor. The accuracy of the simulation process thus determines the final therapeutic effect, with higher accuracy being more beneficial to the patient.
In the actual treatment process, in order to prevent the patient from moving during the treatment process, a fixing device is often placed on the human body, that is, the target object is fixed on the patient bed through the fixing device. In this case, the target object may be a human tissue that needs to be treated. The fixation device is actually absorbing to radiation and therefore needs to be contained within the outer contour during dose simulation calculations. Since the material is usually a network structure, the boundary in the CT image is blurred and not easily recognized, and is not easily automatically included in the conventional boundary extraction algorithm. The outer contour extraction method can realize the extraction of the outer contour of the target object containing the fixing device, so that the formulated treatment plan can be closer to a real state and meet the clinical requirement.
Referring to fig. 1, the outer contour extraction method includes the following steps:
step S110, a three-dimensional image of a target object including a fixture is acquired.
The fixing device is fixed on the target object to fix the target object on the patient bed. In one embodiment, to ensure that the treatment plan is highly consistent with the actual treatment effect, the fixation devices used in the preparation of the treatment plan and the fixation devices used during the actual treatment are the same fixation devices or fixation devices having the same structure.
The three-dimensional image may be captured by a three-dimensional camera. The three-dimensional camera acquires a three-dimensional image as an optical image. The three-dimensional camera usually comprises two lenses, so that related information such as the depth of a shooting target object can be acquired, and three-dimensional stereo information of the target object can be reconstructed. The three-dimensional image acquired by the three-dimensional camera is an outer enclosure of the target object and is a closed enclosure structure, and a discontinuous area does not exist, so that the contour information formed by the fixing device can be clearly and completely reflected in the three-dimensional image and further correctly identified.
Step S120, a medical image of the target object is acquired.
The medical image may be acquired by an imaging device. The Imaging device may be a CT (Computed Tomography) device, an MRI (Magnetic Resonance Imaging) device, a PET (Positron Emission Computed Tomography) device, and the like. In an embodiment, the imaging device may be a computed tomography imaging device, and the acquired medical image is a computed tomography image. As described above, since the fixing device is generally a mesh structure, the boundary in the X-ray medical image is blurred and is not easily recognized.
It is understood that the sequence of step S110 and step S120 is not strictly limited and may be exchanged.
Step S130, acquiring a first outer contour of the target object according to the three-dimensional image.
The acquired three-dimensional image includes surface information and the system outputs a mesh or point cloud to represent a first outer contour of the target object. Since the three-dimensional image is taken of the outer envelope of the target object, the resulting first outer contour is the outer contour comprising the fixation device.
Step S140, a second outer contour of the target object is obtained according to the medical image.
As described above, the medical image is a computed tomography image acquired by the imaging device, and thus the skin contour of the target object can be obtained as the second outer contour by a commonly used skin contour segmentation method. In this embodiment, the second outer contour may be obtained during segmentation based on a threshold segmentation method (e.g., CT-based HU values). In an embodiment, the sequence between step S130 and step S140 may be exchanged or performed synchronously.
And S150, determining the outer contour of the target object according to the first outer contour and the second outer contour.
Specifically, a union of the first outer contour and the second outer contour is found to determine the outer contour of the target object. Since the first outer contour includes contour information formed by the fixing device and the second outer contour includes skin contour information, the merged outer contour of the first outer contour and the second outer contour is an outer contour of the target object including the fixing device.
According to the outer contour extraction method, the three-dimensional image and the medical image of the target object containing the fixing device are obtained, the three-dimensional image is used for obtaining the first outer contour of the target object, the medical image is used for obtaining the second outer contour of the target object, the outer contour of the target object is determined according to the first outer contour and the second outer contour, and then the outer contour of the target object containing the fixing device is extracted. That is, the method can accurately extract the outer contour of the target object containing the fixing device, so that the simulation precision of the treatment plan can be improved, and a better treatment effect is finally ensured.
In one embodiment, in step S110, the three-dimensional image may be obtained by combining two or more three-dimensional cameras. Because the treatment system comprises a treatment planning system, treatment equipment and the like, and the treatment equipment comprises a treatment head, in order to avoid interference generated by the treatment head and incapability of obtaining a complete three-dimensional image of a target object, two three-dimensional cameras can be adopted for combination to obtain the three-dimensional image. Specifically, two three-dimensional cameras are respectively disposed at 45-degree angular positions on both sides of the target object. In other embodiments, three or more three-dimensional cameras may be used in combination to obtain the three-dimensional image.
In an embodiment, before step S110, a step of calibrating the three-dimensional camera is further included. In the image measurement process, in order to determine the relationship between the three-dimensional geometric position of a certain point on the surface of an object in space and the corresponding point in the image, a geometric model of camera imaging must be established, and the parameters of the geometric model are the parameters of the camera. Under most conditions, the parameters must be obtained through experiments and calculation, and the process of solving the parameters is called camera calibration (or video camera calibration). In the process of calibrating the camera, calibration methods commonly used in the art may be used, for example, a conventional camera calibration method, an active vision camera calibration method, a camera self-calibration method, and the like.
In one embodiment, since the three-dimensional camera and the treatment device have different, independent spatial coordinates, it is necessary to ensure that the first outer contour and the second outer contour are based on the same spatial coordinate system during the treatment. Taking the treatment system as a radiotherapy planning system as an example, the whole extraction process involves a camera coordinate system and an accelerator fixing coordinate system of the radiotherapy equipment.
To facilitate subsequent processing, both the first outer contour and the second outer contour are processed to a contour based on an accelerator fixed coordinate system of the radiotherapy apparatus. That is, after the three-dimensional image is acquired, the expression of the first outer contour in the accelerator fixed coordinate system of the radiotherapy apparatus needs to be acquired by combining the coordinate transformation between the camera coordinate system and the accelerator fixed coordinate system, and the corresponding data is stored in the database for later use. The medical image may be scanned by an imaging device, such as a CT device, and then the contour data in the coordinate system of the target object may be obtained by using a commonly used skin segmentation algorithm.
In an embodiment, step S150 may be implemented by a process as shown in fig. 2, and specifically includes the following sub-steps:
step S210, obtaining all axial layers passing through the second outer contour according to the second outer contour.
The axial slice also refers to the slice of the target object, as shown in FIG. 3. In this embodiment, the direction from the head to the feet of the patient (i.e. the length direction of the patient bed) is the axial direction, and the axial layer is a cross section perpendicular to the axial direction. When each axial bedding plane is obtained, the spatial information where the axial bedding plane is located, namely the spatial position of the axial bedding plane in the target object coordinate system, can be determined.
Step S220, sequentially determining a first outer contour and a second outer contour corresponding to the spatial information according to the spatial information of each axial layer.
Specifically, for each axial slice, the profile data of the second outer contour that the axial slice passes through is determined according to the spatial information of the axial slice, and the profile data of the first outer contour that is also under the spatial information is determined according to the spatial information of the axial slice, so that the first outer contour and the second outer contour under the spatial information are obtained, as shown in fig. 4. In fig. 4, a thick line of light gray formed at the top is a first outer contour, and a thin line of dark gray surrounding the entire target object is a second outer contour. The aforementioned light and dark grey and thickness are only to be compared with respect to the first and second outer contours.
Step S230, a merging interval of the first outer contour and the second outer contour under the same spatial information is obtained to determine a contour boundary under the spatial information.
At each axial layer, the first outer contour and the second outer contour which are also located at the axial layer (i.e. under the same spatial information) are subjected to union processing to obtain a union interval of the first outer contour and the second outer contour, so as to serve as a contour boundary under the spatial information. In one embodiment, the merging area is a closed area, as shown in FIG. 5. The outermost closed line in fig. 5 is the final outer contour. As can be seen from fig. 5, the fixing device is included in the contour boundary extracted by the above method, so that the simulation calculation of the radiation dose can be ensured to be more accurate, and the clinical requirement can be met.
In this embodiment, the first outer contour and the second outer contour corresponding to different axial layers are sequentially obtained, and then the first outer contour and the second outer contour of the same axial layer are subjected to union processing. In other embodiments, step S220 and step S230 may be completed in the same step, that is, the corresponding first outer contour and second outer contour are obtained for the current axial plane, and are processed for the next axial plane after being merged.
And step S240, determining the outer contour of the target object according to the contour boundary under the spatial information corresponding to each axial layer.
And summarizing the contour boundaries under the corresponding spatial information of each axial layer to obtain the outer contour of the target object.
In one embodiment, in step S230, under the current spatial information, the merging interval of the first outline and the second outline on each row or each column is sequentially obtained in units of rows or columns. For example, a union section covered by two outlines in each row is acquired from top to bottom as a new outline boundary in a row unit. In other embodiments, in the process of obtaining the union section, the union section may also be obtained from bottom to top, or from the middle to both sides, and is not limited to a specific implementation manner.
In one embodiment, as described above, the medical image is obtained by an imaging device such as a CT device. The three-dimensional image is a three-dimensional image shot before a target object enters the imaging device, or a three-dimensional image shot after the target object moves out of the imaging device, or shot before the target object enters and after the target object moves out, so that the time interval between the shot three-dimensional image and the medical image can be shortened as much as possible, the obtained three-dimensional image and the medical image are ensured to be based on the result obtained by the target object in the same state, namely, errors or deviations in the result caused by the movement of the target object in the shooting process of the three-dimensional image and the medical image are avoided, and the accuracy of the whole result can be improved.
In one embodiment, to ensure that the target object does not move during the process of capturing the three-dimensional image and the medical image, at least one three-dimensional image may be obtained before and after capturing the medical image, so as to determine whether the target object moves according to the three-dimensional images captured before and after capturing the medical image. At this time, the method includes the following flow, as shown in fig. 6.
In step S310, a first three-dimensional image is captured before the target object enters the imaging device.
In one embodiment, the first three-dimensional image is an image that is taken when the subject is ready for scanning but has not entered the imaging device for image acquisition, for example, when the subject is about to enter the imaging device.
Step S320, acquiring a medical image of the target object.
In step S330, a second three-dimensional image is obtained after the target object is moved out of the imaging device.
In one embodiment, the first three-dimensional image is an image captured after image capture has been completed in the imaging device and the target object has been moved out of the imaging device, such as when the target object has just been moved out of the imaging device.
Step S340, determining whether the target object moves according to the first three-dimensional image and the second three-dimensional image.
Whether the target object moves or not can be judged according to the acquired three-dimensional images through an image processing technology. For example, it is determined whether the coordinate position of the same feature point in each three-dimensional image has changed. It is understood that when the deviation of the coordinate position is less than the allowable movement range, it can be considered that there is no movement. And when the target object is judged to be moved, returning to the step S320, otherwise, executing the step S350.
Step S350, acquiring a first outer contour of the target object according to the three-dimensional image
Step S360, acquiring a second outer contour of the target object according to the medical image.
Step S370, determining an outer contour of the target object according to the first outer contour and the second outer contour.
By the method, the three-dimensional image and the medical image which are finally used for determining the target outer contour are both based on the result obtained by shooting the target object in the same state, so that the finally obtained outer contour has high accuracy, a treatment plan is ensured to have high accuracy, and the treatment process is efficiently and accurately carried out.
In an embodiment, before performing step S110 or step S310, the target object is positioned. Specifically, the target object is moved so that the treatment isocenter of the target object coincides with the isocenter of the treatment apparatus or the CT simulator, and a three-dimensional image at that position is acquired. The isocenter of the CT simulator is the intersection point of the external laser lamps in the CT simulator.
An embodiment of the present application further provides an outer contour extraction device, a schematic structural diagram of which is shown in fig. 7. The outer contour extraction device includes a first obtaining module 410, a second obtaining module 420, a first processing module 430, a second processing module 440, and a third processing module 450. The first acquiring module 410 is used for acquiring a three-dimensional image of a target object including a fixing device. The second acquisition module 420 is used for acquiring a medical image of the target object. The first processing module 430 is configured to obtain a first outer contour of the target object according to the three-dimensional image obtained by the first obtaining module 410. The second processing module 440 is configured to obtain a second outer contour of the target object according to the medical image obtained by the second obtaining module 420. The third processing module 450 is configured to determine an outer contour of the target object according to the first outer contour obtained by the first processing module 430 and the second outer contour obtained by the second processing module 440.
In one embodiment, the first acquiring module 410 is connected to a three-dimensional camera to acquire a three-dimensional image captured by the three-dimensional camera. The acquired three-dimensional image is an optical image. In one embodiment, the first acquiring module 410 may be connected with more than two three-dimensional cameras to obtain a three-dimensional image by using a combination of more than two three-dimensional cameras. Wherein each three-dimensional camera has a different orientation relative to the target object.
In one embodiment, the apparatus further comprises a calibration module (not shown). The calibration module is used for calibrating the three-dimensional camera.
In one embodiment, the first outer contour processed by the first processing module 430 and the second outer contour processed by the second processing module 440 are based on the same spatial coordinate system.
In one embodiment, the medical image is a computed tomography image.
In one embodiment, the second processing module 440 obtains the skin contour of the target object as the second outer contour according to a skin contour analysis algorithm.
In an embodiment, the third processing module 450 is configured to obtain all axial layers passing through the second outer contour according to the second outer contour, and determine the first outer contour and the second outer contour corresponding to the spatial information according to the spatial information of each axial layer in sequence; acquiring a first outer contour and a second outer contour under the same spatial information, and determining a contour boundary under the spatial information in an interval manner; and determining the outer contour of the target object according to the contour boundary under the spatial information corresponding to each axial layer.
In an embodiment, when determining the contour boundary of each axial layer, the third processing module 450 sequentially obtains the union interval of the first outer contour and the second outer contour in each row or each column in units of rows or columns.
In one embodiment, a medical image of the target object is acquired by an imaging device; the three-dimensional image is a three-dimensional image obtained by shooting before entering the image equipment and/or after being moved out of the image equipment. In one embodiment, the first three-dimensional image is a three-dimensional image obtained by shooting a target object when the target object enters the imaging device; the second three-dimensional image is a three-dimensional image obtained by shooting when the target object moves out of the imaging device. The number of the first three-dimensional images is greater than or equal to 1, and the number of the second three-dimensional images is greater than or equal to 1.
In one embodiment, the first acquiring module 410 is used for acquiring a first three-dimensional image obtained before acquiring the medical image of the target object and a second three-dimensional image after acquiring the medical image of the target object. At this time, a determination module 460 is further included, as shown in fig. 8. The determining module 460 determines whether the target object moves according to the first three-dimensional image and the second three-dimensional image. The determining module 460 controls the second acquiring module 420 to re-acquire the medical image of the target object when it is determined that the target object moves, and controls the first processing module 430 and the second processing module 440 to operate when the target object does not move.
An embodiment of the present application also provides a computer storage medium having a computer program stored thereon. The computer program is adapted to perform the steps of the method according to any of the preceding embodiments when executed by a processor.
An embodiment of the present application also provides a treatment system, as shown in fig. 9. The treatment system includes a patient bed 910, a fixing device 920, an imaging device 930, and a control device (not shown).
Wherein the patient bed 910 is used to support and position a target object into the treatment system. The fixing device 920 is used as an auxiliary fixing mechanism to fix the target object on the patient bed 910, so as to avoid the influence of the movement of the target object on the treatment process as much as possible, and ensure that the treatment effect is consistent with the expected effect.
The imaging device 930 is used to capture a medical image of the target object. The Imaging device 930 may be a CT (Computed Tomography) device, an MRI (Magnetic Resonance Imaging) device, a PET (Positron Emission Computed Tomography) device, and the like.
The control device is connected to the imaging device 930. In this embodiment, the control device is further configured to be connected to a three-dimensional camera to acquire a three-dimensional image of the target object captured by the three-dimensional camera. The control device can execute the outer contour extraction method in any one of the preceding embodiments, so as to realize the outer contour extraction of the target object, and facilitate the formulation of an accurate treatment plan.
In an embodiment, the treatment system may further include a three-dimensional camera 940. The three-phase camera 940 is connected to the control device, and captures a three-dimensional image of the target object and outputs the image to the control device.
The technical scheme in any embodiment can be applied to a CT simulator or CT and radiotherapy equipment integrated equipment. For a CT simulator, medical images may be acquired by the CT simulator; for the CT and radiotherapy equipment integrated equipment, the medical image can be acquired through the CT equipment. The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (15)
1. An outer contour extraction method for extracting an outer contour of a target object including a fixture, the method comprising:
acquiring a three-dimensional image of a target object comprising a fixing device;
acquiring a medical image of the target object;
acquiring a first outer contour of the target object according to the three-dimensional image; wherein the first outer contour is an outer contour including the fixing device;
acquiring a second outer contour of the target object according to the medical image; wherein the second outer contour is a skin contour of the target object; and
and solving a union interval of the first outer contour and the second outer contour, and determining the outer contour of the target object.
2. The method of claim 1, wherein the step of acquiring a three-dimensional image of the target object containing the fixture is performed by a three-dimensional camera.
3. The method of claim 2, wherein the step of obtaining a three-dimensional image of a target object including a fixture comprises obtaining the three-dimensional image by combining two or more three-dimensional cameras; each three-dimensional camera has a different orientation relative to the target object.
4. The method of claim 1, wherein the three-dimensional image of the target object is an optical image.
5. The method of claim 1, wherein the first outer contour and the second outer contour are both based on the same spatial coordinate system.
6. The method of claim 1, wherein the medical image is a computed tomography image.
7. The method according to claim 1, wherein in the step of obtaining the second outer contour of the target object based on the medical image, a skin contour of the target object is obtained as the second outer contour based on a skin contour segmentation algorithm.
8. The method of claim 1, wherein the step of determining the outer contour of the target object by taking the union of the first outer contour and the second outer contour comprises:
acquiring all axial layers passing through the second outer contour according to the second outer contour;
sequentially determining a first outer contour and a second outer contour corresponding to the spatial information according to the spatial information of each axial layer;
acquiring a merging interval of a first outer contour and a second outer contour under the same spatial information to determine a contour boundary under the spatial information; and
and determining the outer contour of the target object according to the contour boundary under the spatial information corresponding to each axial layer.
9. The method according to claim 1, wherein the medical image of the target object is acquired by an imaging device; the three-dimensional image is a three-dimensional image obtained by shooting the target object before entering the image equipment and/or after being moved out of the image equipment.
10. The method of claim 1, wherein the step of acquiring a three-dimensional image of a target object including a fixture comprises acquiring a first three-dimensional image obtained prior to acquiring a medical image of the target object and a second three-dimensional image obtained after acquiring the medical image of the target object;
the method further comprises the following steps:
judging whether the target object moves or not according to the first three-dimensional image and the second three-dimensional image;
when the target object moves, returning to the step of acquiring the medical image of the target object; and
and when the target object does not move, executing the step of acquiring the first outer contour of the target object according to the three-dimensional image.
11. The method of claim 1, wherein the step of acquiring a three-dimensional image of a target object containing a fixation device further comprises: the target object is moved such that a treatment isocenter of the target object coincides with an isocenter of a treatment apparatus or CT simulator.
12. An outer contour extraction device is used for extracting the outer contour of a target object containing a fixing device; it is characterized by comprising:
the first acquisition module is used for acquiring a three-dimensional image of a target object containing a fixing device;
the second acquisition module is used for acquiring a medical image of the target object;
the first processing module is used for acquiring a first outer contour of the target object according to the three-dimensional image; wherein the first outer contour is an outer contour including the fixing device;
the second processing module is used for acquiring a second outer contour of the target object according to the medical image; wherein the second outer contour is a skin contour of the target object; and
and the third processing module is used for solving a union interval of the first outer contour and the second outer contour and determining the outer contour of the target object.
13. A computer storage medium having a computer program stored thereon, wherein the computer program, when being executed by a processor, is adapted to carry out the steps of the method according to any of the claims 1 to 11.
14. A therapeutic system, comprising:
a patient bed for carrying a target object and positioning a treatment device to the treatment system;
a fixation device for fixing the target subject on the patient bed;
the imaging device is used for shooting a medical image of the target object; and
the control equipment is connected with the imaging equipment; the control equipment is also used for executing the outer contour extraction method according to any one of claims 1-11.
15. The treatment system of claim 14, further comprising a three-dimensional camera connected to the control device; the three-dimensional camera is used for shooting a three-dimensional image of a target object containing the fixing device.
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| CA2705757A1 (en) * | 2007-11-19 | 2009-05-28 | Pyronia Medical Technologies, Inc. | Patient positioning system and methods for diagnostic radiology and radiotherapy |
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| CN109419524A (en) * | 2017-08-31 | 2019-03-05 | 西门子医疗有限公司 | The control of medical image system |
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