CN118247292A - Three-dimensional model display method, device, equipment and medium for aortic dissection - Google Patents
Three-dimensional model display method, device, equipment and medium for aortic dissection Download PDFInfo
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Abstract
The application is suitable for the technical field of medical treatment, and provides a three-dimensional model display method, device, equipment and medium for aortic dissection. The three-dimensional model display method for aortic dissection comprises the following steps: acquiring a CTA image of a target physiological region including aortic dissection; performing three-dimensional reconstruction segmentation on the CTA image to obtain a tissue to be segmented in the target physiological region and a three-dimensional model of a true cavity and a false cavity contained in the tissue to be segmented, wherein the tissue to be segmented comprises a main blood vessel and a branch blood vessel; and displaying the three-dimensional model. Embodiments of the present application may provide a physician with a more detailed reference to aortic dissection surgical treatment protocols.
Description
Technical Field
The application belongs to the technical field of medical treatment, and particularly relates to a three-dimensional model display method, device, equipment and medium for aortic dissection.
Background
Aortic dissection (aortic dissection, AD) refers to the occurrence of a rupture of the aortic intima caused by various reasons, high-pressure blood in the aortic lumen enters the aortic media from the rupture and is separated, and then is continuously peeled, extended and expanded towards the distal end or the proximal end along the long axis direction of the aorta under the action of hemodynamics, so that a pathological state of separation of the real and pseudo two cavities of the aortic wall separated by the internal diaphragm is formed. The disease is more dangerous in cardiovascular diseases and has higher death rate. Once the interlayer is broken, the blood flow of the heart rapidly flows out from the break, and acute massive hemorrhage occurs, and finally, hemorrhagic shock or sudden death caused by pericardial packing occurs. Once aortic dissection is found, the surgical treatment scheme should be determined according to the influence indication in time, so as to avoid dissection rupture.
Disclosure of Invention
The embodiment of the application provides a three-dimensional model display method, device, equipment and medium for aortic dissection, which can provide a doctor with a more detailed aortic dissection operation treatment scheme reference.
An embodiment of the present application provides a three-dimensional model display method for aortic dissection, including: acquiring a CTA image of a target physiological region including aortic dissection; performing three-dimensional reconstruction segmentation on the CTA image to obtain a tissue to be segmented in the target physiological region and a three-dimensional model of a true cavity and a false cavity contained in the tissue to be segmented, wherein the tissue to be segmented comprises a main blood vessel and a branch blood vessel; and displaying the three-dimensional model.
In some embodiments of the first aspect, after the performing three-dimensional reconstruction segmentation on the CTA image to obtain a three-dimensional model of a tissue to be segmented in the target physiological region and a true and false cavity contained in the tissue to be segmented, the method further includes: and performing Boolean subtraction operation on the three-dimensional model of the tissue to be segmented and the three-dimensional model of the true and false cavities to obtain the three-dimensional model of the internal membrane and the hemagglutination area contained in the tissue to be segmented.
In some embodiments of the first aspect, the performing a boolean subtraction on the three-dimensional model of the tissue to be segmented and the three-dimensional model of the true and false cavities to obtain a three-dimensional model of an inner membrane and a hemagglutination zone contained in the tissue to be segmented includes: performing Boolean subtraction operation on the three-dimensional model of the tissue to be segmented and the three-dimensional model of the true and false cavities to obtain a three-dimensional model to be processed; and performing corrosion operation on the tissue outer ring region in the three-dimensional model to be processed to obtain the three-dimensional model of the inner membrane and the hemagglutination region.
In some embodiments of the first aspect, the performing three-dimensional reconstruction segmentation on the CTA image to obtain a three-dimensional model of a tissue to be segmented in the target physiological region and a true and false cavity contained in the tissue to be segmented includes: inputting the CTA image into a deep learning model to obtain a three-dimensional model of the tissue to be segmented, which is output by the deep learning model, and a three-dimensional model of the true and false cavities, which is output by the deep learning model; the deep learning model is trained based on a sample CTA image, and the labels of the tissues to be segmented in the sample CTA image are located at the outer edges of the true and false cavities.
In some embodiments of the first aspect, in the step of performing three-dimensional reconstruction segmentation on the CTA image to obtain a tissue to be segmented in the target physiological region and a three-dimensional model of a true cavity and a false cavity contained in the tissue to be segmented, determining the three-dimensional model of the true cavity and the three-dimensional model of the false cavity in the true cavity and the false cavity includes: determining a rupture position of an intima rupture in the aortic dissection, wherein in the true and false cavities, a cavity communicated before the rupture position is used as the true cavity, and the rest cavities in the true and false cavities are used as the false cavities so as to obtain a three-dimensional model of the true cavity and a three-dimensional model of the false cavity; and/or determining the true cavity and the false cavity in the true cavity and the false cavity according to the form of the cavity in the cross section position image in the CTA image so as to obtain a three-dimensional model of the true cavity and a three-dimensional model of the false cavity; and/or determining the true cavity and the false cavity in the true cavity and the false cavity according to the distribution condition of the blood coagulation area in the cavity so as to obtain a three-dimensional model of the true cavity and a three-dimensional model of the false cavity; and/or determining the true cavity and the false cavity in the true cavity and the false cavity according to the relative position relation between the cavity and the heart so as to obtain a three-dimensional model of the true cavity and a three-dimensional model of the false cavity.
In some embodiments of the first aspect, after the acquiring the CTA image of the target physiological region including aortic dissection, further comprising: determining an interlayer condition in the branch vessel based on the CTA image; under the condition that no interlayer exists in the branch blood vessel, determining the connection condition of the branch blood vessel and a true and false cavity in the main blood vessel; and determining the blood supply condition of the branch blood vessel according to the connection condition.
In some embodiments of the first aspect, the determining the blood supply condition of the branch vessel according to the connection condition includes: when the branch blood vessel is connected with the true lumen in the main blood vessel, confirming the blood supply condition as the true lumen blood supply of the branch blood vessel; and when the branch blood vessel is connected with the false cavity in the main blood vessel, confirming the blood supply condition as the blood supply of the false cavity of the branch blood vessel.
In some implementations of the first aspect, after the displaying the three-dimensional model, the method further includes: and receiving a modification operation on the three-dimensional model to update the three-dimensional model according to the modification operation.
In some embodiments of the first aspect, the tissue to be segmented comprises a plurality of components; the displaying the three-dimensional model includes: and displaying the three-dimensional models of different components according to different styles.
A third aspect of the present application provides a three-dimensional model display device for aortic dissection, including: an image acquisition unit for acquiring a CTA image of a target physiological region including aortic dissection; the three-dimensional reconstruction and segmentation unit is used for carrying out three-dimensional reconstruction and segmentation on the CTA image to obtain a tissue to be segmented in the target physiological region and a three-dimensional model of a true cavity and a false cavity contained in the tissue to be segmented, wherein the tissue to be segmented comprises a main blood vessel and a branch blood vessel; and the display unit is used for displaying the three-dimensional model.
A third aspect of the embodiments of the present application provides an image processing apparatus, including a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the three-dimensional model display method for aortic dissection described above when executing the computer program.
A fourth aspect of the embodiments of the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of the three-dimensional model display method for aortic dissection described above.
A fifth aspect of the embodiments of the present application provides a computer program product for causing an image processing apparatus to carry out the steps of the above-described three-dimensional model display method for aortic dissection when the computer program product is run on the image processing apparatus.
In the embodiment of the application, the CTA image of the target physiological area containing the aortic dissection is acquired, and three-dimensional reconstruction segmentation is carried out on the CTA image to obtain the tissue to be segmented in the target physiological area and the three-dimensional model of the true and false cavities in the tissue to be segmented, and because the tissue to be segmented comprises the main blood vessel and the branch blood vessel, when the three-dimensional model is displayed, on one hand, a doctor can obtain the conditions of the two tissues of the main blood vessel and the branch blood vessel based on the three-dimensional model, and evaluate the conditions of the branch blood vessel to have important clinical significance for operation decision and prognosis of a patient, and on the other hand, the doctor can analyze the conditions of the aortic dissection based on the three-dimensional model of the true and false cavities, so that the embodiment of the application can provide more detailed aortic dissection operation treatment scheme reference for the doctor.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an implementation flow of a three-dimensional model display method for aortic dissection according to an embodiment of the present application;
FIG. 2 is a schematic illustration of an aortic dissection provided by an embodiment of the present application;
FIG. 3 is a schematic diagram of a specific implementation flow for obtaining a three-dimensional model of an inner membrane and a blood coagulation area according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a first specific flow of a three-dimensional model display provided by an embodiment of the present application;
FIG. 5 is a schematic diagram of a second specific flow of a three-dimensional model display provided by an embodiment of the present application;
FIG. 6 is a schematic structural diagram of a three-dimensional model display device for aortic dissection according to an embodiment of the present application;
Fig. 7 is a schematic structural diagram of an image processing apparatus provided in an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application. All other embodiments, which can be made by a person skilled in the art without any inventive effort, are intended to be protected by the present application based on the embodiments of the present application.
It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
In the description of the present specification and the appended claims, the terms "first," "second," "third," and the like are used merely to distinguish between descriptions and are not to be construed as indicating or implying relative importance.
Reference in the specification to "one embodiment" or "some embodiments" or the like means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," and the like in the specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments" unless expressly specified otherwise. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
Aortic dissection is easy to cause branch vessel involvement, and poor aortic branch vessel perfusion is a serious complication of aortic dissection, and is often caused by the fact that the dissection affects abdominal branch vessels, so that the branch vessels are dissected or pressed to cause poor blood perfusion, and serious consequences such as abdominal organ ischemia necrosis, renal failure and the like are caused. For example, (1) the dissection involves the innominate or left common carotid artery and can lead to central nervous system symptoms, with cerebrovascular accidents occurring in 3% to 6% of patients, who exhibit syncope or disturbance of consciousness; spinal ischemia or necrosis can lead to paraparesis or paraplegia of the lower limb when the dissection affects spinal arterial perfusion. (2) The interlayer-affected renal arteries on one or both sides may have hematuria, no urine, severe hypertension, and even renal failure. (3) The interlayer can cause gastrointestinal ischemia manifestations such as acute abdomen and intestinal necrosis when affecting the dry abdominal cavity, superior mesenteric and inferior mesenteric arteries, and part of patients can appear as black stool or bloody stool; sometimes the celiac artery is affected causing liver or spleen infarction. (4) Acute lower limb ischemia symptoms such as pain, no pulse, even lower limb ischemia necrosis and the like can occur when the interlayer affects the lower limb artery.
Aortic dissection is more dangerous in cardiovascular diseases and has higher mortality rate. Once the interlayer is broken, the blood flow of the heart rapidly flows out from the break, and acute massive hemorrhage occurs, and finally, hemorrhagic shock or sudden death caused by pericardial packing occurs. The treatment of aortic dissection is related to typing. Stanford is classified into A, B types according to the aortic dissection involvement. The spatial relationship between the laceration position, the interlayer condition and the lesion topography adjacency is evaluated according to the ultrasonic and CT angiography (CTA, CT angiography) images of the patient before operation, so as to be convenient for accurate evaluation of the condition before operation and selection of operation strategies. In general, aortic dissection type a is rapid in onset and extremely rapid in exacerbation, and open surgery is often required. Conservative treatment, endoluminal repair (TEVAR), and surgical open surgery are available for patients with aortic dissection B. However, the TEVAR operation requires that the guide wire is always in the true cavity, and the guide wire breaks through the false cavity, which can cause bleeding in the operation and endanger the life of the patient.
Therefore, once aortic dissection is found, the surgical treatment scheme should be determined according to the influence indication in time, so that dissection rupture is avoided, and the method has important significance for surgery and postoperative curative effect.
In view of the above, the application provides a three-dimensional model display method for aortic dissection, which reconstructs and displays three-dimensional models of main blood vessels and branch blood vessels based on CTA images of a target physiological region containing aortic dissection, and then provides a more detailed aortic dissection operation treatment scheme reference for doctors.
In order to illustrate the technical scheme of the application, the following description is made by specific examples.
Referring to fig. 1, fig. 1 shows a schematic implementation flow chart of a three-dimensional model display method for aortic dissection according to an embodiment of the present application, and the method can be applied to an image processing device, and can be applied to a situation that a doctor needs to provide a more detailed aortic dissection operation treatment scheme reference.
The image processing device may be an intelligent device such as a computer or a mobile phone, or may be a device specially used for image processing in a medical system, which is not limited to this application.
Specifically, the three-dimensional model display method for aortic dissection described above may include the following steps S101 to S103.
Step S101, acquiring a CTA image of a target physiological region including aortic dissection.
The target physiological region refers to a physiological region needing to be subjected to three-dimensional modeling, and can be any physiological region of a human body or other animals. CTA images are images obtained by CT angiography. In some embodiments of the application, CTA images can be obtained by injecting contrast agent into veins and performing CTA scans in circulating blood and during periods of time when the concentration of contrast agent in the target vessel reaches a peak, via computer reconstruction.
In the embodiment of the present application, whether the target physiological region contains the aortic dissection may be confirmed by a deep learning algorithm or other methods after the CTA image of the target physiological region is acquired, or the CTA image may be acquired for the target physiological region after the target physiological region is determined to contain the aortic dissection. Under the condition that the target physiological region comprises aortic dissection, three-dimensional reconstruction segmentation and display can be performed based on CTA images of the target physiological region so as to display the aortic dissection condition for reference of doctors.
Step S102, performing three-dimensional reconstruction segmentation on the CTA image to obtain a tissue to be segmented in the target physiological region and a three-dimensional model of a true cavity and a false cavity contained in the tissue to be segmented.
The tissue to be segmented is a physiological tissue which needs to be subjected to three-dimensional reconstruction and then is segmented by a three-dimensional model in the target physiological region. The tissue to be segmented may include a main vessel and a branch vessel. The vascular trunk may refer to a vessel from the aortic valve to the iliac bifurcation. The branch vessel may refer to a vessel of a left neck, a left collarbone, a brachiocephalic trunk, a dry abdominal branch, a left and right renal branch, an superior mesenteric artery branch, or an iliac artery branch.
Different components may be contained within the tissue to be segmented. In embodiments of the present application, the components contained within the tissue to be segmented may include at least true and false lumens. Wherein, the true and false cavities are two cavities of the aortic dissection, after the aortic dissection is formed, part of blood flows into the blood vessel wall to form a false cavity, and the original cavity (namely the cavity in which the blood flows before the breach is formed) is called as a true cavity.
In the embodiment of the application, based on the three-dimensional information in the CTA image, a three-dimensional model of the target physiological region can be obtained by three-dimensional reconstruction, and the three-dimensional model of the tissue to be segmented and the true and false cavities in the tissue to be segmented in the target physiological region can be obtained by segmentation processing through threshold segmentation, deep learning or other algorithms. The application is not limited with respect to the specific algorithms used for three-dimensional reconstruction and segmentation.
Step S103, displaying the three-dimensional model.
In the embodiment of the application, after the three-dimensional model of the tissue to be segmented and the true and false cavities contained in the tissue to be segmented in the target physiological region is obtained, the three-dimensional model of the tissue to be segmented and the true and false cavities contained in the tissue to be segmented in the target physiological region can be obtained and displayed.
It can be understood that the three-dimensional model of all tissues to be segmented and true and false cavities in the target physiological area can be displayed, or the three-dimensional model of part of tissues to be segmented or the three-dimensional model of part of cavities in the target physiological area can be displayed, for example, the three-dimensional model of the selected tissues to be segmented or the three-dimensional model of the cavities can be displayed according to the selection operation triggered by a doctor, and the application is not limited.
Based on the displayed three-dimensional model, a doctor can accurately evaluate the conditions of the main blood vessel and the branch blood vessel, and further form a more accurate diagnosis result or a surgical treatment scheme aiming at aortic dissection.
In the embodiment of the application, the CTA image of the target physiological area containing the aortic dissection is acquired, and three-dimensional reconstruction segmentation is carried out on the CTA image to obtain the tissue to be segmented in the target physiological area and the three-dimensional model of the true and false cavities in the tissue to be segmented, and because the tissue to be segmented comprises the main blood vessel and the branch blood vessel, when the three-dimensional model is displayed, on the one hand, a doctor can obtain the conditions of the two tissues of the main blood vessel and the branch blood vessel based on the three-dimensional model, and the condition of evaluating the branch blood vessel has important clinical significance for operation decision and prognosis of a patient, and on the other hand, the doctor can analyze the condition of the aortic dissection based on the three-dimensional model of the true and false cavities, so that the embodiment of the application can provide more detailed aortic dissection operation treatment scheme reference for the doctor.
In some embodiments of the present application, before step S102, the image processing apparatus may further perform image verification on the acquired CTA image to confirm whether the CTA image satisfies the condition of automatic segmentation.
In particular, the image processing device may verify one or more of layer thickness, scan range, and image quality of the CTA image. The layer thickness check can detect whether the layer thickness is within a preset range. Scan range verification may be to verify whether the scan range contains the chest and abdomen. The image quality check may be to detect if there is motion artifact or metal artifact in the CTA image. If the image verification fails, the CTA image needs to be re-acquired so as to avoid influencing the accuracy of three-dimensional reconstruction segmentation. If the image verification is successful, step S102 may be performed.
In some embodiments of the present application, in step 102, the image processing apparatus may segment the CTA image to obtain a three-dimensional model of the tissue to be segmented and a three-dimensional model of the true or false cavity contained in the tissue to be segmented.
Specifically, in some embodiments of the present application, a CTA image may be input to a deep learning model to obtain a three-dimensional model of a tissue to be segmented output by the deep learning model, and a three-dimensional model of a true or false cavity output by the deep learning model.
The deep learning model of the tissue to be segmented for output and the deep learning model of the true and false cavities for output can be the same deep learning model or different deep learning models. When different deep learning models are adopted, the deep learning models can be more targeted, and then the segmentation precision is improved.
The deep learning model may be trained based on sample CTA images. Specifically, the sample CTA image may be input to the deep learning model to be trained, and the output result is compared with the label of the sample CTA image to determine the model accuracy of the deep learning model to be trained. If the model precision does not meet the requirement, the model parameters of the deep learning model to be trained can be adjusted, then, the sample CTA image is input to the deep learning model to be trained again, the model precision of the model is determined, and the trained deep learning model is obtained until the model precision meets the requirement.
The annotation of the sample CTA image may include an annotation of the tissue to be segmented and an annotation of the true or false lumen. The labeling of the sample CTA image can be realized by manual labeling or automatic labeling. In order to avoid that the labels block the image information, the labels of the tissues to be segmented in the sample CTA image can be positioned at the outer edges of the true and false cavities.
In other embodiments, the CTA image may be segmented by threshold segmentation, contrast analysis, or the like, which is not limited to the present application.
In embodiments of the present application, the components contained within the tissue to be segmented may also include an inner membrane and a hemagglutination zone within the tissue to be segmented. For ease of understanding, please refer to the aortic dissection schematic diagram shown in fig. 2. The inner membrane is the aortic intima between the true and false lumens. Blood may be thrombosed from the inner wall of the prosthetic chamber as it flows between the true and false chambers of the aorta, forming a region of blood clotting.
As shown in fig. 3, in some embodiments of the present application, following step S301 may be further included after step S102.
Step S301, a Boolean subtraction operation is performed on the three-dimensional model of the tissue to be segmented and the three-dimensional model of the true and false cavities to obtain the three-dimensional model of the inner membrane and the hemagglutination area contained in the tissue to be segmented.
In other words, the three-dimensional model of the internal membrane and the hemagglutination zone in the tissue to be segmented can be obtained by subtracting the three-dimensional model of the true and false cavities in the tissue to be segmented from the three-dimensional model of the tissue to be segmented.
In order to ensure the precision of the three-dimensional model of the inner membrane and the hemagglutination area, in some embodiments of the present application, the image processing apparatus may perform a boolean subtraction operation on the three-dimensional model of the tissue to be segmented and the three-dimensional model of the true and false cavities to obtain a three-dimensional model to be processed, and then perform a corrosion operation on the tissue outer ring area in the three-dimensional model to be processed to obtain the three-dimensional model of the inner membrane and the hemagglutination area.
Specifically, the corrosion operation can be performed on the tissue outer ring region in the three-dimensional model to be processed so as to remove the outer wall of the blood vessel, then the communication region with the volume larger than a certain volume threshold value is reserved, the reserved communication region is used as the three-dimensional model of the inner membrane and the blood coagulation region, and then the precision of the three-dimensional model of the inner membrane and the blood coagulation region is ensured.
By way of example and not limitation, referring to fig. 4, the image processing device may annotate the main and branch vessels in the sample CTA image and then train to obtain a deep learning model a based on the annotated sample CTA image. Similarly, the image processing device can label true and false cavities contained in a main blood vessel and a branch blood vessel in the sample CTA image, and then training based on the labeled sample CTA image to obtain the deep learning model B. And respectively inputting the CTA images into the deep learning model A and the deep learning model B, so that a three-dimensional model of a main blood vessel and a three-dimensional model of a branch blood vessel which are output by the deep learning model A and a three-dimensional model of a true cavity and a false cavity which are output by the deep learning model B can be obtained. Subtracting the three-dimensional model of the true and false cavities from the three-dimensional model of the main blood vessel to obtain the three-dimensional model of the inner diaphragm and the blood coagulation area, and carrying out the same management on the branch blood vessel. Then, three-dimensional models of the main blood vessel and the branch blood vessel, and three-dimensional models of the true and false cavities, the inner membrane and the blood coagulation area which are contained in the three-dimensional models can be displayed.
In step S102, the image processing apparatus may specifically divide the three-dimensional model of the true lumen and the three-dimensional model of the false lumen based on the CTA image.
Specifically, determining the three-dimensional model of the true cavity in the true cavity and the three-dimensional model of the false cavity in the true cavity can be achieved in one or more of the following ways.
Mode one: and determining the rupture position of an intima rupture in the aortic dissection, wherein in the true and false cavities, the cavity communicated before the rupture position is used as the true cavity, and the rest cavity in the true and false cavities is used as the false cavity, so as to obtain a three-dimensional model of the true cavity and a three-dimensional model of the false cavity.
Mode two: and determining a true cavity and a false cavity in the true cavity and the false cavity according to the form of the cavity in the transverse position image in the CTA image so as to obtain a three-dimensional model of the true cavity and a three-dimensional model of the false cavity. In particular, the true cavity is typically extruded, relatively small, circular-like, and the false cavity is most in the form of a meniscus in the transverse position.
Mode three: and determining the true cavity and the false cavity in the true cavity and the false cavity according to the distribution condition of the blood coagulation area in the cavity so as to obtain a three-dimensional model of the true cavity and a three-dimensional model of the false cavity. In particular, the cavity in which the low density hemagglutination zone occurs is typically a false cavity.
Mode four: and determining the true cavity and the false cavity in the true cavity and the false cavity according to the relative position relation between the cavity and the heart so as to obtain a three-dimensional model of the true cavity and a three-dimensional model of the false cavity. Specifically, the proximal tissue is typically a true lumen.
By means of one or more modes, the accuracy of distinguishing the true cavity from the false cavity can be improved, and then the three-dimensional model of the true cavity and the three-dimensional model of the false cavity can be respectively distinguished during the division. It will be appreciated that the more ways are employed, the correspondingly higher the accuracy of identifying true and false cavities.
Thus, the blood coagulation area and the inner membrane can be accurately divided, and the situation of the true and false cavities can be clearly displayed. For patients with the blood coagulation area in the false cavity, the blood coagulation condition of the patients can be displayed, so that doctors can conveniently confirm the conditions of the patients, evaluate the false cavity expansion trend and determine the operation time.
For cases where the branch vessel is not occluded, the image processing device may also provide information about the branch vessel to assist the physician in pathological assessment.
Specifically, after acquiring a CTA image of a target physiological region including aortic dissection, the image processing device may further determine a dissection condition in the branch vessel based on the CTA image, determine a connection condition of the branch vessel and a true and false lumen in the main vessel in the case that no dissection exists in the branch vessel, and then determine a blood supply condition of the branch vessel according to the connection condition.
Specifically, when the branch vessel is connected with the true lumen in the main vessel, the blood supply condition is confirmed as the true lumen blood supply of the branch vessel. When the branch vessel is connected with the false cavity in the main vessel, the blood supply condition is confirmed to be the blood supply of the false cavity of the branch vessel.
The blood supply condition of the branch blood vessel can be marked in the three-dimensional model, and then when the three-dimensional model is displayed, a doctor can also know the blood supply condition of the branch blood vessel, so that the doctor can evaluate the interlayer affected condition of the branch blood vessel, and the method has clinical significance for the doctor to make operation decisions and patient prognosis.
Since the tissue to be segmented contains a plurality of components, the image processing apparatus may display three-dimensional models of different components in different styles in step S103. For example, a three-dimensional model can be reconstructed from masks of a true cavity, a false cavity, an inner membrane and a blood coagulation area, and the three-dimensional model is rendered into different colors and translucency forms, so that doctors can conveniently know the relation among all components of the three-dimensional model, and the illness state of a patient can be accurately estimated.
In some embodiments, when the three-dimensional model is displayed, the three-dimensional model obtained by threshold segmentation may be displayed together for comparison by a doctor.
For the displayed three-dimensional model, the image processing device can also provide an interactive function so as to facilitate a user to modify errors existing in the three-dimensional model in the segmentation process. In particular, in some embodiments of the present application, the image processing apparatus may receive a modification operation to the three-dimensional model to update the three-dimensional model according to the modification operation.
For example, tools such as modification of tissue labels in the three-dimensional model, vascular editing, layer-by-layer editing, etc. may be provided for a user to modify the two-dimensional mask, update the modified results into the three-dimensional model, and then display the updated three-dimensional model.
For ease of understanding, please refer to the workflow of the image processing apparatus shown in fig. 5. After the input CTA image is obtained, image verification can be performed to evaluate image quality, and when the CTA image meets the condition of automatic segmentation, step 102 is performed to perform pre-segmentation to obtain a three-dimensional model of the tissue to be segmented and the true and false cavities, internal membranes and hemagglutination areas contained in the tissue to be segmented in the target physiological area. Then, the three-dimensional model can be modified through user interaction, and the finally obtained three-dimensional model is displayed.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may occur in other orders in accordance with the application.
Fig. 6 is a schematic structural diagram of a three-dimensional model display device 600 for aortic dissection according to an embodiment of the application, wherein the three-dimensional model display device 600 for aortic dissection is configured on an image processing device.
Specifically, the three-dimensional model display device 600 for aortic dissection may include:
An image acquisition unit 601 for acquiring a CTA image of a target physiological region including aortic dissection;
The three-dimensional reconstruction and segmentation unit 602 is configured to perform three-dimensional reconstruction and segmentation on the CTA image to obtain a tissue to be segmented in the target physiological region and a three-dimensional model of a true and false cavity contained in the tissue to be segmented, where the tissue to be segmented includes a main blood vessel and a branch blood vessel;
and a display unit 603 for displaying the three-dimensional model.
In some embodiments of the present application, the three-dimensional reconstruction segmentation unit 602 may be further specifically configured to: and performing Boolean subtraction operation on the three-dimensional model of the tissue to be segmented and the three-dimensional model of the true and false cavities to obtain the three-dimensional model of the internal membrane and the hemagglutination area contained in the tissue to be segmented.
In some embodiments of the present application, the three-dimensional reconstruction-segmentation unit 602 may be specifically configured to: performing Boolean subtraction operation on the three-dimensional model of the tissue to be segmented and the three-dimensional model of the true and false cavities to obtain a three-dimensional model to be processed; and performing corrosion operation on the tissue outer ring region in the three-dimensional model to be processed to obtain the three-dimensional model of the inner membrane and the hemagglutination region.
In some embodiments of the present application, the three-dimensional reconstruction-segmentation unit 602 may be specifically configured to: inputting the CTA image into a deep learning model to obtain a three-dimensional model of the tissue to be segmented, which is output by the deep learning model, and a three-dimensional model of the true and false cavities, which is output by the deep learning model; the deep learning model is trained based on a sample CTA image, and the labels of the tissues to be segmented in the sample CTA image are located at the outer edges of the true and false cavities.
In some embodiments of the present application, the three-dimensional reconstruction-segmentation unit 602 may be specifically configured to: determining a rupture position of an intima rupture in the aortic dissection, wherein in the true and false cavities, a cavity communicated before the rupture position is used as the true cavity, and the rest cavities in the true and false cavities are used as the false cavities so as to obtain a three-dimensional model of the true cavity and a three-dimensional model of the false cavity; and/or determining the true cavity and the false cavity in the true cavity and the false cavity according to the form of the cavity in the cross section position image in the CTA image so as to obtain a three-dimensional model of the true cavity and a three-dimensional model of the false cavity; and/or determining the true cavity and the false cavity in the true cavity and the false cavity according to the distribution condition of the blood coagulation area in the cavity so as to obtain a three-dimensional model of the true cavity and a three-dimensional model of the false cavity; and/or determining the true cavity and the false cavity in the true cavity and the false cavity according to the relative position relation between the cavity and the heart so as to obtain a three-dimensional model of the true cavity and a three-dimensional model of the false cavity.
In some embodiments of the present application, the three-dimensional model display device 600 for aortic dissection described above may further include a blood supply condition determining unit for: determining an interlayer condition in the branch vessel based on the CTA image; under the condition that no interlayer exists in the branch blood vessel, determining the connection condition of the branch blood vessel and a true and false cavity in the main blood vessel; and determining the blood supply condition of the branch blood vessel according to the connection condition.
In some embodiments of the present application, the three-dimensional model display device 600 for aortic dissection may further include an interaction unit for: and receiving a modification operation on the three-dimensional model to update the three-dimensional model according to the modification operation.
In some embodiments of the present application, the tissue to be segmented contains a plurality of components; the display unit 603 may be specifically configured to: and displaying the three-dimensional models of different components according to different styles.
It should be noted that, for convenience and brevity, the specific working process of the three-dimensional model display device 600 for aortic dissection described above may refer to the corresponding process of the method described in fig. 1 to 5, and will not be described herein again.
As shown in fig. 7, a schematic diagram of an image processing apparatus 7 according to an embodiment of the present application is provided. Specifically, the image processing apparatus 7 may include: a processor 70, a memory 71 and a computer program 72 stored in said memory 71 and executable on said processor 70, for example a three-dimensional model display program for aortic dissection. The processor 70, when executing the computer program 72, implements the steps of the above-described embodiments of the three-dimensional model display method for aortic dissection, such as steps S101 to S103 shown in fig. 1. Or the processor 70 when executing the computer program 72 performs the functions of the modules/units in the above-described device embodiments, such as the functions of the image acquisition unit 601, the three-dimensional reconstruction segmentation unit 602, and the display unit 603 shown in fig. 6.
The computer program may be divided into one or more modules/units which are stored in the memory 71 and executed by the processor 70 to complete the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions for describing the execution of the computer program in the image processing device.
For example, the computer program may be split into: an image acquisition unit, a three-dimensional reconstruction segmentation unit and a display unit. The specific functions of each unit are as follows: an image acquisition unit for acquiring a CTA image of a target physiological region including aortic dissection; the three-dimensional reconstruction and segmentation unit is used for carrying out three-dimensional reconstruction and segmentation on the CTA image to obtain a tissue to be segmented in the target physiological region and a three-dimensional model of a true cavity and a false cavity contained in the tissue to be segmented, wherein the tissue to be segmented comprises a main blood vessel and a branch blood vessel; and the display unit is used for displaying the three-dimensional model.
The image processing device 7 may include, but is not limited to, a processor 70, a memory 71. It will be appreciated by those skilled in the art that fig. 7 is merely an example of an image processing device and is not meant to be limiting, and that more or fewer components than shown may be included, or certain components may be combined, or different components may be included, for example, the image processing device may also include an input-output device, a network access device, a bus, etc.
The Processor 70 may be a central processing unit (Central Processing Unit, CPU), or may be another general purpose Processor, a digital signal Processor (DIGITAL SIGNAL Processor, DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 71 may be an internal storage unit of the image processing apparatus, such as a hard disk or a memory of the image processing apparatus. The memory 71 may also be an external storage device of the image processing apparatus, such as a plug-in hard disk provided on the image processing apparatus, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD), or the like. Further, the memory 71 may also include both an internal storage unit and an external storage device of the image processing apparatus. The memory 71 is used to store the computer program and other programs and data required by the image processing apparatus. The memory 71 may also be used for temporarily storing data that has been output or is to be output.
It should be noted that, for convenience and brevity of description, the structure of the image processing apparatus 7 may refer to the specific description of the structure in the method embodiment, which is not repeated herein.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/device and method may be implemented in other manners. For example, the apparatus/device embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present application may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
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 technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (12)
1. A three-dimensional model display method for aortic dissection, comprising:
acquiring a CTA image of a target physiological region including aortic dissection;
Performing three-dimensional reconstruction segmentation on the CTA image to obtain a tissue to be segmented in the target physiological region and a three-dimensional model of a true cavity and a false cavity contained in the tissue to be segmented, wherein the tissue to be segmented comprises a main blood vessel and a branch blood vessel;
and displaying the three-dimensional model.
2. The method for displaying a three-dimensional model for aortic dissection according to claim 1, further comprising, after performing three-dimensional reconstruction segmentation on the CTA image to obtain a three-dimensional model of a tissue to be segmented in the target physiological region and a true and false lumen contained in the tissue to be segmented:
And performing Boolean subtraction operation on the three-dimensional model of the tissue to be segmented and the three-dimensional model of the true and false cavities to obtain the three-dimensional model of the internal membrane and the hemagglutination area contained in the tissue to be segmented.
3. The method for displaying a three-dimensional model for aortic dissection according to claim 2, wherein the performing a boolean subtraction operation on the three-dimensional model of the tissue to be segmented and the three-dimensional model of the true and false cavities to obtain the three-dimensional model of the internal membrane and the hemagglutination zone contained in the tissue to be segmented comprises:
performing Boolean subtraction operation on the three-dimensional model of the tissue to be segmented and the three-dimensional model of the true and false cavities to obtain a three-dimensional model to be processed;
and performing corrosion operation on the tissue outer ring region in the three-dimensional model to be processed to obtain the three-dimensional model of the inner membrane and the hemagglutination region.
4. The method according to claim 1, wherein determining the three-dimensional model of the true lumen and the three-dimensional model of the false lumen in the true lumen in the false lumen in the step of performing three-dimensional reconstruction segmentation on the CTA image to obtain the three-dimensional model of the tissue to be segmented and the true lumen and the false lumen in the tissue to be segmented in the target physiological region, comprises:
determining a rupture position of an intima rupture in the aortic dissection, wherein in the true and false cavities, a cavity communicated before the rupture position is used as the true cavity, and the rest cavities in the true and false cavities are used as the false cavities so as to obtain a three-dimensional model of the true cavity and a three-dimensional model of the false cavity;
And/or determining the true cavity and the false cavity in the true cavity and the false cavity according to the form of the cavity in the cross section position image in the CTA image so as to obtain a three-dimensional model of the true cavity and a three-dimensional model of the false cavity;
And/or determining the true cavity and the false cavity in the true cavity and the false cavity according to the distribution condition of the blood coagulation area in the cavity so as to obtain a three-dimensional model of the true cavity and a three-dimensional model of the false cavity;
And/or determining the true cavity and the false cavity in the true cavity and the false cavity according to the relative position relation between the cavity and the heart so as to obtain a three-dimensional model of the true cavity and a three-dimensional model of the false cavity.
5. The method for displaying a three-dimensional model for aortic dissection according to claim 1, wherein the performing three-dimensional reconstruction segmentation on the CTA image to obtain a three-dimensional model of a tissue to be segmented in the target physiological region and a true and false cavity contained in the tissue to be segmented comprises:
inputting the CTA image into a deep learning model to obtain a three-dimensional model of the tissue to be segmented, which is output by the deep learning model, and a three-dimensional model of the true and false cavities, which is output by the deep learning model; the deep learning model is trained based on a sample CTA image, and the labels of the tissues to be segmented in the sample CTA image are located at the outer edges of the true and false cavities.
6. The method of claim 1, further comprising, after the acquiring a CTA image of a target physiological region including aortic dissection:
determining an interlayer condition in the branch vessel based on the CTA image;
Under the condition that no interlayer exists in the branch blood vessel, determining the connection condition of the branch blood vessel and a true and false cavity in the main blood vessel;
And determining the blood supply condition of the branch blood vessel according to the connection condition.
7. The method for displaying a three-dimensional model for aortic dissection according to claim 6, wherein the determining the blood supply condition of the branch blood vessel according to the connection condition comprises:
When the branch blood vessel is connected with the true lumen in the main blood vessel, confirming the blood supply condition as the true lumen blood supply of the branch blood vessel;
And when the branch blood vessel is connected with the false cavity in the main blood vessel, confirming the blood supply condition as the blood supply of the false cavity of the branch blood vessel.
8. The three-dimensional model display method for aortic dissection according to any one of claims 1 to 7, further comprising, after the displaying the three-dimensional model:
And receiving a modification operation on the three-dimensional model to update the three-dimensional model according to the modification operation.
9. The three-dimensional model display method for aortic dissection according to any one of claims 1 to 7, wherein the tissue to be segmented contains a plurality of components;
the displaying the three-dimensional model includes:
and displaying the three-dimensional models of different components according to different styles.
10. A three-dimensional model display device for aortic dissection, comprising:
an image acquisition unit for acquiring a CTA image of a target physiological region including aortic dissection;
The three-dimensional reconstruction and segmentation unit is used for carrying out three-dimensional reconstruction and segmentation on the CTA image to obtain a tissue to be segmented in the target physiological region and a three-dimensional model of a true cavity and a false cavity contained in the tissue to be segmented, wherein the tissue to be segmented comprises a main blood vessel and a branch blood vessel;
And the display unit is used for displaying the three-dimensional model.
11. An image processing device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the three-dimensional model display method for aortic dissection according to any one of claims 1 to 9 when executing the computer program.
12. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the three-dimensional model display for aortic dissection according to any one of claims 1 to 9.
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