Tumor three-dimensional reconstruction and dynamic change analysis method and system

Abstract

The invention discloses a tumor three-dimensional reconstruction and dynamic change analysis method and system, and relates to the technical field of three-dimensional dynamic change analysis. Comprising the steps that three-dimensional image information of a target tumor is obtained, an initial information item is obtained, initial form data of the target tumor is obtained based on the initial information item, an initial data item is obtained, and the initial data item is used for representing initial size information of the target tumor; and based on the image information items, splitting the three-dimensional image information of the target tumor into at least two cross-section images to obtain a cross-section graph set which at least comprises cross-section image items of the two target tumors. The three-dimensional center coordinate information of the target tumor is calculated according to the obtained three-dimensional image information of the changed target tumor, and the specific dynamic change data of the target tumor is analyzed according to the change data of the three-dimensional center coordinate information of the target tumor in two times. Therefore, the actual dynamic change direction and change data of the target tumor can be obtained more accurately.

Description

Technical Field

[0001] The present invention relates to the technical field of three-dimensional dynamic change analysis, and in particular to a method and system for three-dimensional reconstruction and dynamic change analysis of a tumor. Background Art

[0002] 3D reconstruction refers to the process of converting a 2D image or other data of an object or scene into a 3D model using a variety of technologies and data. This process can be applied in many fields, including computer vision, robotics, medical imaging, film and television special effects, etc. 3D reconstruction and dynamic analysis of tumors is a combination of medical imaging and computing technology. It uses CT, MRI, PET and other medical imaging technologies to obtain 2D plane images of tumors, process the acquired 2D image data, extract the boundaries and features of the tumor, and use a 3D reconstruction algorithm to synthesize the 2D slices of the tumor into a complete 3D model. By continuously acquiring imaging data, it monitors changes in the tumor during treatment, such as shape, size, and blood flow patterns.

[0003] Patent publication number CN 114758175 A is a method, system, device and storage medium for classifying esophageal gastric junction tumor images. The enhanced CT images of esophageal gastric junction tumor lesions are processed to obtain three-dimensional ROI regional images of tumor lesions, and the radiomics features of the three-dimensional ROI regional images are extracted using PyRadiomics, and then the type of esophageal gastric junction tumor is predicted based on the extracted radiomics features. The method of the present invention can be used to predict whether the esophageal gastric junction tumor belongs to adenocarcinoma or squamous cell carcinoma before surgery, and the predicted AUC can reach more than 0.8, which has a high accuracy; moreover, the method of the present invention has the advantage of preoperative non-invasiveness, which can provide new ideas for the current clinical diagnosis of esophageal gastric junction tumor types before surgery, and reduce the pain and economic burden caused by invasive diagnosis of the disease.

[0004] When the above and similar technical solutions analyze the dynamic changes of the tumor through the three-dimensional graphics of the tumor, the dynamic data obtained by comparing the three-dimensional graphics can only obtain the specific size data changes of the tumor. However, when the tumor actually grows in the human body, the dynamic data includes changes in height, width and thickness, and a single size dynamic data change cannot provide the doctor with the best diagnostic hint. When the tumor is in different positions in the human body, the change direction of its height, width and thickness will cause different chain reactions on the blood vessels and different tissues around the tumor. The chain reaction will change with the change of the position of the tumor. Therefore, it is necessary to accurately obtain the specific dynamic data changes of the tumor, such as specific lateral changes, longitudinal changes and axial changes, in order to provide doctors with the best analysis data. Summary of the invention

[0005] The purpose of the present invention is to provide a method and system for three-dimensional reconstruction and dynamic change analysis of a tumor to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a method and system for three-dimensional reconstruction and dynamic change analysis of tumors, comprising: Acquire three-dimensional image information of the target tumor to obtain an initial information item, and acquire initial morphological data of the target tumor based on the initial information item to obtain an initial data item, wherein the initial data item is used to represent initial size information of the target tumor; Based on the image information items, the three-dimensional image information of the target tumor is split into at least two cross-sectional images to obtain a cross-sectional graphic set, wherein the cross-sectional graphic set includes at least two cross-sectional image items of the target tumor, and the center point coordinate information of different cross-sectional images in the cross-sectional graphic set is obtained to obtain a center coordinate set; The central coordinate sets are combined by a combination method to obtain initial three-dimensional central coordinate information of the target tumor, and an initial central item is obtained, and the initial central item is used to express the initial central position information of the target tumor; Acquire the three-dimensional image information of the target tumor again to obtain a change information item, acquire the changed morphological data of the target tumor based on the change information item to obtain a change data item, and acquire the change data of the target tumor based on the difference between the change data item and the initial data item to obtain a data change item; The three-dimensional center coordinate information of the target tumor after the change is obtained again to obtain the change center item, and based on the difference between the change center item and the initial center item, the dynamic change direction of the target tumor is obtained to obtain the direction change item; Based on the combined results of the data change term and the direction change term, the dynamic change analysis data of the target tumor is obtained.

[0007] Furthermore, the method for obtaining the cross-section graphic set includes: Scanning the target tumor by a target scanning device to obtain a scanned image item; The target scanning device stores scanning parameters, including scanning width and scanning spacing, and obtains scanning width information and scanning spacing information of the target scanning device based on the scanning parameters to obtain a target width item and a target spacing item; The scanned image item is split based on the combination result of the target width item and the target spacing item, and the scanned image item is split into a plurality of cross-sectional images.

[0008] Furthermore, the method for obtaining the center point coordinate information of different cross-sectional images in the cross-sectional graphic set includes: Set the target number of demand points and obtain the demand quantity item; Based on the required quantity items, an initial coordinate system is created, and vertex coordinate information of the target cross-sectional image is respectively obtained based on the initial coordinate system to obtain cross-sectional vertex data items; Based on the section vertex data items, the vertical and horizontal coordinates of the center point of the target section are calculated through the center point acquisition formula, and then the center point coordinate information of the target section is obtained.

[0009] Furthermore, the method for creating the initial coordinate system includes: Based on the cross-sectional graphic set, the horizontal extreme value points and the vertical extreme value points in the cross-sectional graphic set are obtained to obtain the horizontal extreme value point position items and the vertical extreme value point position items; Set the standard items, create the horizontal axis and the vertical axis respectively based on the combination of the horizontal extreme point position items and the vertical extreme point position items with the standard items, and create the initial coordinate system based on the marking results of the standard items on the horizontal axis and the vertical axis respectively.

[0010] Furthermore, the standard items include a vertical axis standard value and a horizontal axis standard value, and the setting method of the standard items includes: Based on the longitudinal extreme point position item, a horizontal search line is set, a target reference point on the same horizontal plane as the longitudinal extreme point position item is obtained as the first target feature point, and the distance between the longitudinal extreme point position item and the first target feature point is used as the longitudinal axis standard value; Based on the horizontal extreme value point position item, a horizontal search line is set, a target reference point on the same horizontal plane as the horizontal extreme value point position item is obtained as a second target feature point, and a line connecting the horizontal extreme value point position item and the second target feature point is used as a horizontal axis standard value; The line connecting the first target feature point and the second target feature point and the extended line thereof are used as the vertical axis, and the line connecting the second feature point and the horizontal extreme point position item and the extended line thereof are used as the horizontal axis.

[0011] Furthermore, the combination method comprises: S1: basic coordinate combination, based on the central coordinate set, obtains the horizontal and vertical coordinate information of the center point coordinates of different cross-sectional images; S2: Height coordinate combination, obtained through the center point formula:

[0012] in and They are The horizontal and vertical coordinates of the center point of the plane graph are is the number of cross-sectional images, is the scan width of the i-th plane graph, is the quantitative scanning spacing, It is the index of the cross-sectional image, and the initial three-dimensional center coordinate information of the target tumor is obtained through calculation.

[0013] Furthermore, the initial morphological data and the changed morphological data of the target tumor include length data, width data and height data, which are respectively used to directly represent the initial size and the changed size of the target tumor. The difference between the changed data item and the initial data item includes the length difference, width difference and height difference to obtain a data change item.

[0014] Furthermore, the difference between the changing center item and the initial center item includes a lateral difference, a longitudinal difference and a height difference. When the lateral difference is a negative number, it indicates that the changing center item of the target tumor moves to the left compared with the initial center item, otherwise it moves to the right. When the longitudinal difference is a negative number, it indicates that the changing center item of the target tumor moves upward compared with the initial center item, otherwise it moves downward. When the height difference is a negative number, it indicates that the changing center item of the target tumor moves forward compared with the initial center item, otherwise it moves backward.

[0015] Furthermore, a tumor three-dimensional reconstruction and dynamic change analysis system uses the above-mentioned tumor three-dimensional reconstruction and dynamic change analysis method.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The method and system for three-dimensional reconstruction and dynamic change analysis of a tumor divides the three-dimensional image information formed by the three-dimensional image acquisition process of the tumor into multiple cross-sectional images, divides the target tumor into sections according to the scanning interval, and respectively calculates the center point coordinate information of each cross-sectional image, calculates the three-dimensional center coordinate information of the target tumor according to the center point coordinate information of all sections, and calculates the three-dimensional center coordinate information of the target tumor again according to the above method based on the acquired three-dimensional image information after the target tumor changes, and analyzes the specific dynamic change data of the target tumor based on the change data of the three-dimensional center coordinate information of the target tumor twice before and after, so as to more accurately obtain the actual dynamic change direction and change data of the target tumor.

[0017] At the same time, by using the patient's spine, aorta and other anatomical structures or markers that do not change or change little as target references, the longitudinal and transverse axes are determined by setting horizontal search lines, and an initial coordinate system is created to respectively determine the center point coordinate information of the cross-sectional image and the target tumor. Since the reference object is an anatomical structure that does not change or changes little, after the initial coordinate system is created, the position of the initial coordinate system has been determined and can subsequently be used for comparative analysis of the three-dimensional dynamic changes of the target tumor. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1It is a schematic diagram of the overall process of the present invention; Figure 2 It is a schematic diagram of a cross-sectional graphic set and a cross-sectional image item of the present invention; Figure 3 A schematic diagram showing the relationship between the scan width and the cross-sectional image item of the present invention; Figure 4 It is a schematic diagram of the positions of the horizontal extreme point position item and the vertical extreme point position item of the present invention; Figure 5 A schematic diagram of the relationship between the target reference object and the horizontal search mark line of the present invention; Figure 6 It is a schematic diagram of the horizontal and vertical axis position structure of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] The three-dimensional graphic analysis technology of tumors provides an important reference for doctors. However, although the three-dimensional graphics can reveal the size changes of tumors, a single size dynamic data cannot fully reflect the growth characteristics of tumors and their impact on surrounding tissues. In the human body, the growth of tumors is not only reflected in the changes in size, but also in the dynamic changes in its height, width and thickness. The morphological changes of tumors will trigger different physiological reactions at different growth stages and different anatomical locations. For example, when the tumor is located near important blood vessels, the direction and speed of its growth may compress or invade the blood vessels, thereby causing corresponding complications. The nature of these chain reactions depends not only on the size of the tumor, but also on its specific horizontal, longitudinal and axial changes. Therefore, when making a diagnosis, doctors need to obtain more accurate dynamic data in order to better understand the impact of tumors on surrounding tissues. Therefore, it is not enough to analyze only by the size changes of tumors. A comprehensive analysis of the three-dimensional dynamic changes of tumors can provide doctors with richer information, thereby providing a more scientific basis for early detection of tumors and the formulation of treatment plans. The implementation of this method not only helps to improve the accuracy of diagnosis, but also helps to improve the prognosis of patients. The technical solution provided by the present application splits the three-dimensional image information composed of the tumor three-dimensional image acquisition process into multiple cross-sectional images through the acquired three-dimensional image information of the tumor. The specific splitting process is to split the target tumor into sections according to the scanning interval during the spiral CT scanning of the target tumor, and calculate the center point coordinate information of each cross-sectional image respectively, calculate the three-dimensional center coordinate information of the target tumor according to the center point coordinate information of all cross-sections, and calculate the three-dimensional center coordinate information of the target tumor again according to the above method based on the acquired three-dimensional image information after the target tumor changes, and analyze the specific dynamic change data of the target tumor based on the change data of the three-dimensional center coordinate information of the target tumor before and after, so as to more accurately obtain the actual dynamic change direction and change data of the target tumor. Specifically in the present application, Figure 1 As shown, steps S100-S500 are included.

[0021] Step S100: Acquire three-dimensional image information of the target tumor, obtain an initial information item, and acquire initial morphological data of the target tumor based on the initial information item.

[0022] It should be noted that after obtaining the three-dimensional image information of the target tumor through CT scanning or other methods, the three-dimensional information image includes the initial morphological data of the target tumor, including length data, width data and height data, which is used to directly represent the initial size and morphological data of the target tumor.

[0023] Step S200: split the three-dimensional image information of the target tumor into at least two cross-sectional images, and obtain the center point coordinate information of different cross-sectional images in the cross-sectional graphic set.

[0024] It should be noted that when performing a CT scan of a target tumor, there is an X-ray tube in the scanner that rotates around the patient and emits X-rays. These X-rays pass through various parts of the body. After passing through the body, the X-rays are received by detectors placed on the other side. These detectors record the intensity of the X-rays that reach them. The received signals are converted into digital signals, and the computer processes these values. Since different tissues such as bones, soft tissues, and liquids absorb X-rays to different degrees, detailed images can be generated through these differences, so three-dimensional image information of the target tumor can be obtained.

[0025] Specifically, the steps of splitting the three-dimensional image information of the target tumor into cross-sectional images and acquiring the center point coordinate information of different cross-sectional images include S201-S204.

[0026] Step S201: Scanning a target tumor by a target scanning device to obtain a scanned image item.

[0027] It should be noted that the target scanning device is a CT scanner, which uses an X-ray tube to emit X-rays to scan the target tumor. The computer will reconstruct cross-sectional images based on the received data. These images can show structures such as organs, blood vessels, and tumors, thereby obtaining scanned image items.

[0028] Step S202: acquiring scanning width information and scanning spacing information of the target scanning device based on the scanning parameters, and obtaining a target width item and a target spacing item.

[0029] It should be noted that when a CT scanner is used to scan a patient, a spiral scan is used, and different CT scanners have different specifications, so the scan width and the spacing between each scan width will be different. At this time, the scan width information and scan spacing information of the target CT scanner are obtained according to the scan parameters set by the CT scanner to obtain the target width item and the target spacing item.

[0030] Step S203: Image segmentation: segmenting the scanned image item based on the combination result of the target width item and the target spacing item, and segmenting the scanned image item into a plurality of cross-sectional images.

[0031] It should be noted that after the scanned image item of the target tumor is acquired through the CT scanner, a target width item and a target spacing item form a combination to split the scanned image item.

[0032] like Figure 2-Figure 3As shown, in the specific implementation process, when the target tumor is scanned using GE Healthcare's Revolution CT, the length of the target tumor is obtained to be 10 mm. Since the instrument can select a slice width of 0.625 mm, 1 mm or greater, when a slice width of 1 mm is selected, the target width item is 1 mm, and the target spacing item is 0. At this time, the target tumor will be divided into 10 cross-sectional image items, and the thickness of each cross-sectional image is 1 mm.

[0033] Step S204: Obtaining the center point coordinate information of different cross-sectional images.

[0034] It should be noted that when a complete target tumor is split into multiple cross-sectional images, since the tumor as a whole is an irregular shape, each cross-sectional image after the splitting is mostly an irregular plane image, and the center point coordinate information of each cross-sectional image needs to be obtained separately.

[0035] Specifically, the method for obtaining the center point coordinate information includes steps S2041-S2043.

[0036] Step S2041: Set a target number of demand points to obtain demand quantity items.

[0037] It should be noted that the target number is set to 3.

[0038] Step S2042: Create an initial coordinate system, and obtain vertex coordinate information of the target cross-sectional image based on the initial coordinate system to obtain cross-sectional vertex data items.

[0039] It should be noted that, since the target number is set to 3, after the initial coordinate system is created, the vertex coordinate information of the target number is obtained respectively, and then the vertex data items of each cross section are obtained.

[0040] Step S2043: Calculate the vertical coordinate and horizontal coordinate information of the center point of the target section through the center point acquisition formula, and then obtain the center point coordinate information of the target section.

[0041] It should be noted that the formula for obtaining the center point is: , , in and They are The horizontal and vertical coordinates of the center point of the plane graph are is the number of vertices. In the specific implementation process, a three-dimensional figure is cut into three two-dimensional plane graphs. The vertex coordinates of the first plane graph are as follows: vertex A: (1,2), vertex B: (3,4), vertex C: (2,1). According to the formula, the center point C1 of the first plane graph is calculated as: , That is, C1 is (2,2.33); The vertex coordinates of the second plane graph are as follows: Vertex A: (2,3), Vertex B: (4,5), Vertex C: (3,2). According to the formula, the center point C2 of the first plane graph is calculated as: , That is, C2 is (3,3.33); The vertex coordinates of the second plane graph are as follows: Vertex A: (0,0), Vertex B: (1,1), Vertex C: (2,0). According to the formula, the center point C3 of the first plane graph is calculated as: , That is, C3 is (1,0.33).

[0042] Specifically, the method for creating the initial coordinate system in step S2042 includes steps S20421-S20424.

[0043] like Figure 4 As shown, step S20421: based on the cross-sectional graphic set, obtain the horizontal extreme value points and the vertical extreme value points in the cross-sectional graphic set, and obtain the horizontal extreme value point position items and the vertical extreme value point position items.

[0044] It should be noted that, since there are multiple cross-sectional images, each cross-sectional image will have a transverse extreme point and a longitudinal extreme point.

[0045] like Figure 5-Figure 6 As shown, step S20422: based on the longitudinal extreme point position item, set a horizontal search line, obtain a target reference point on the same horizontal plane as the longitudinal extreme point position item as the first target feature point, and use the distance between the longitudinal extreme point position item and the first target feature point as the vertical axis standard value.

[0046] It should be noted that the target reference is an anatomical structure or mark that does not change or changes slightly, such as the spine and aorta. At this time, the target reference point on the same horizontal plane as the longitudinal extreme point position item is used as the first target feature point.

[0047] Step S20423: Based on the lateral extreme point position item, a horizontal search line is set to obtain a target reference point on the same horizontal plane as the lateral extreme point position item as the second target feature point, and a line connecting the lateral extreme point position item and the second target feature point is used as the horizontal axis standard value.

[0048] It should be noted that, similarly, anatomical structures or markers that do not change or change very little, such as the spine and aorta, are used as target references. Through the set horizontal search line, the target reference point that is on the same horizontal plane as the lateral extreme point position item is taken as the second target feature point, and the line connecting the lateral extreme point position item and the second target feature point is taken as the horizontal axis standard value.

[0049] It should be noted that, since the patient's spine, aorta and other anatomical structures or markers that do not change or change very little are used as target references, the longitudinal and transverse axes are determined by setting horizontal search lines, and an initial coordinate system is created to respectively determine the center point coordinate information of the cross-sectional image and the target tumor, and since the reference object is an anatomical structure that does not change or changes very little, after the initial coordinate system is created, the position of the initial coordinate system has been determined and can subsequently be used for comparative analysis of the three-dimensional dynamic changes of the target tumor.

[0050] Step S20424: The line connecting the first target feature point and the second target feature point and the extension line thereof are used as the vertical axis, and the line connecting the second feature point and the horizontal extreme point position item and the extension line thereof are used as the horizontal axis.

[0051] It should be noted that after the initial coordinate system is created, the position of the initial coordinate system has been determined, and can be used subsequently for comparative analysis of the three-dimensional dynamic changes of the target tumor.

[0052] Step S300: combining the central coordinate sets by a combination method to obtain initial three-dimensional central coordinate information of the target tumor and obtain an initial central item, which is used to express the initial central position information of the target tumor.

[0053] It should be noted that after obtaining the center point coordinate information of each cross-sectional image, all the center point coordinate information is combined to obtain the center point coordinate information of the target tumor.

[0054] Specifically, the formula is obtained through the center point:

[0055] in and They are The horizontal and vertical coordinates of the center point of the plane graph are is the number of cross-sectional images, is the scan width of the i-th plane graph, is the quantitative scanning spacing, It is the index of the cross-sectional image, and the initial three-dimensional center coordinate information of the target tumor is obtained through calculation.

[0056] In the specific implementation process, the height of the target tumor is 3 mm, the scanning width of the instrument is 1 mm, and the scanning interval is 0, so the number of cross-sectional images is 3. The target tumor is cut into three two-dimensional planes. The vertex coordinates of the first plane are as follows: vertex A: (1,2), vertex B: (3,4), vertex C: (2,1). The center point C1 of the first plane is calculated according to the formula: , That is, C1 is (2,2.33); The vertex coordinates of the second plane graph are as follows: Vertex A: (2,3), Vertex B: (4,5), Vertex C: (3,2). According to the formula, the center point C2 of the first plane graph is calculated as: , That is, C2 is (3,3.33); The vertex coordinates of the second plane graph are as follows: Vertex A: (0,0), Vertex B: (1,1), Vertex C: (2,0). According to the formula, the center point C3 of the first plane graph is calculated as: , That is, C3 is (1,0.33), and according to the formula: , , .

[0057] Therefore, the initial three-dimensional center coordinate information of the tumor is (2,2,2).

[0058] Step S400: Acquire the three-dimensional image information of the target tumor again to obtain a change information item, acquire the changed morphological data of the target tumor based on the change information item to obtain a change data item, acquire the change data of the target tumor based on the difference between the change data item and the initial data item to obtain a data change item.

[0059] It should be noted that since the initial morphological data and the changed morphological data of the target tumor include length data, width data and height data, which are respectively used to directly represent the initial size and the changed size of the target tumor, the difference between the changed data item and the initial data item includes the length difference, width difference and height difference, and a data change item is obtained.

[0060] Step S500: acquiring the changed three-dimensional center coordinate information of the target tumor again to obtain a changed center item, and acquiring the dynamic change direction of the target tumor based on the difference between the changed center item and the initial center item to obtain a direction change item.

[0061] It should be noted that by scanning the target tumor again with a CT scanner, morphological data and image information are obtained, and based on the above formula, the three-dimensional image information of the target tumor is split into cross-sectional images, and the center point coordinate information of the cross-sectional images is obtained respectively. Since the initial coordinate system has been created, the position of the initial coordinate system can be quickly located by obtaining a reference object, and the center point coordinate information of the cross-sectional image of the target tumor is obtained through the initial coordinate system, and the three-dimensional center coordinate information of the target tumor is obtained.

[0062] In the specific implementation process, the height of the target tumor is 3 mm, the scanning width of the instrument is 1 mm, and the scanning interval is 0, so the number of cross-sectional images is 3. The target tumor is cut into three two-dimensional planes. The vertex coordinates of the first plane are as follows: vertex A: (2,1), vertex B: (4,3), vertex C: (3,0). The center point C1 of the first plane is calculated according to the formula: , That is, C1 is (3,1.33); The vertex coordinates of the second plane graph are as follows: Vertex A: (5,0), Vertex B: (7,2), Vertex C: (6,1). According to the formula, the center point C2 of the first plane graph is calculated as: , That is, C2 is (6,1); The vertex coordinates of the second plane graph are as follows: Vertex A: (4,4), Vertex B: (5,5), Vertex C: (6,4). According to the formula, the center point C3 of the first plane graph is calculated as: , That is, C3 is (5,4.33), and according to the formula: , , .

[0063] Therefore, the three-dimensional center coordinate information of the tumor after the change is (4.67, 2.22, 2).

[0064] At this time, the difference between the changed three-dimensional center coordinate information and the initial three-dimensional center coordinate information is (2.67, 0.22, 0), that is, the target tumor moves 2.67mm in the X-axis direction and 0.22mm in the Y-axis direction, thereby obtaining the dynamic change analysis data of the target tumor. According to the change data of the three-dimensional center coordinate information of the target tumor before and after, the specific dynamic change data of the target tumor is analyzed, so as to more accurately obtain the actual dynamic change direction and change data of the target tumor.

[0065] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is limited by the attached embodiments and their equivalents.

Claims

1. A method for three-dimensional reconstruction and dynamic change analysis of a tumor, characterized in that: include: Acquire three-dimensional image information of the target tumor to obtain an initial information item, and acquire initial morphological data of the target tumor based on the initial information item to obtain an initial data item, wherein the initial data item is used to represent initial size information of the target tumor; Based on the image information items, the three-dimensional image information of the target tumor is split into at least two cross-sectional images to obtain a cross-sectional graphic set, wherein the cross-sectional graphic set includes at least two cross-sectional image items of the target tumor, and the center point coordinate information of different cross-sectional images in the cross-sectional graphic set is obtained to obtain a center coordinate set; The central coordinate sets are combined by a combination method to obtain initial three-dimensional central coordinate information of the target tumor, and an initial central item is obtained, and the initial central item is used to express the initial central position information of the target tumor; Acquire the three-dimensional image information of the target tumor again to obtain a change information item, acquire the changed morphological data of the target tumor based on the change information item to obtain a change data item, and acquire the change data of the target tumor based on the difference between the change data item and the initial data item to obtain a data change item; The three-dimensional center coordinate information of the target tumor after the change is obtained again to obtain the change center item, and based on the difference between the change center item and the initial center item, the dynamic change direction of the target tumor is obtained to obtain the direction change item; Based on the combined results of the data change term and the direction change term, the dynamic change analysis data of the target tumor is obtained.

2. A method for three-dimensional reconstruction and dynamic change analysis of a tumor according to claim 1, characterized in that: The method for obtaining the cross-section graphic set includes: Scanning the target tumor by a target scanning device to obtain a scanned image item; The target scanning device stores scanning parameters, including scanning width and scanning spacing, and obtains scanning width information and scanning spacing information of the target scanning device based on the scanning parameters to obtain a target width item and a target spacing item; The scanned image item is split based on the combination result of the target width item and the target spacing item, and the scanned image item is split into a plurality of cross-sectional images.

3. The method for three-dimensional reconstruction and dynamic change analysis of a tumor according to claim 1, characterized in that: The method for obtaining the center point coordinate information of different cross-sectional images in the cross-sectional graphic set includes: Set the target number of demand points and obtain the demand quantity item; Based on the required quantity items, an initial coordinate system is created, and vertex coordinate information of the target cross-sectional image is respectively obtained based on the initial coordinate system to obtain cross-sectional vertex data items; Based on the section vertex data items, the vertical and horizontal coordinates of the center point of the target section are calculated through the center point acquisition formula, and then the center point coordinate information of the target section is obtained.

4. The method for three-dimensional reconstruction and dynamic change analysis of a tumor according to claim 3, characterized in that: The method for creating the initial coordinate system includes: Based on the cross-sectional graphic set, the horizontal extreme value points and the vertical extreme value points in the cross-sectional graphic set are obtained to obtain the horizontal extreme value point position items and the vertical extreme value point position items; Set the standard items, create the horizontal axis and the vertical axis respectively based on the combination of the horizontal extreme point position items and the vertical extreme point position items with the standard items, and create the initial coordinate system based on the marking results of the standard items on the horizontal axis and the vertical axis respectively.

5. The method for three-dimensional reconstruction and dynamic change analysis of a tumor according to claim 4, characterized in that: The standard items include a vertical axis standard value and a horizontal axis standard value, and the setting method of the standard items includes: Based on the longitudinal extreme point position item, a horizontal search line is set, a target reference point on the same horizontal plane as the longitudinal extreme point position item is obtained as the first target feature point, and the distance between the longitudinal extreme point position item and the first target feature point is used as the longitudinal axis standard value; Based on the horizontal extreme value point position item, a horizontal search line is set, a target reference point on the same horizontal plane as the horizontal extreme value point position item is obtained as a second target feature point, and a line connecting the horizontal extreme value point position item and the second target feature point is used as a horizontal axis standard value; The line connecting the first target feature point and the second target feature point and the extended line thereof are used as the vertical axis, and the line connecting the second feature point and the horizontal extreme point position item and the extended line thereof are used as the horizontal axis.

6. The method for three-dimensional reconstruction and dynamic change analysis of a tumor according to claim 1, characterized in that: The combined method comprises: S1: basic coordinate combination, based on the central coordinate set, obtains the horizontal and vertical coordinate information of the center point coordinates of different cross-sectional images; S2: Height coordinate combination, obtained through the center point formula: ； in and They are The horizontal and vertical coordinates of the center point of the plane graph are is the number of cross-sectional images, is the scan width of the i-th plane graph, is the quantitative scanning spacing, It is the index of the cross-sectional image, and the initial three-dimensional center coordinate information of the target tumor is obtained through calculation.

7. The method for three-dimensional reconstruction and dynamic change analysis of a tumor according to claim 1, characterized in that: The initial morphological data and the changed morphological data of the target tumor include length data, width data and height data, which are respectively used to directly represent the initial size and the changed size of the target tumor. The difference between the changed data item and the initial data item includes the length difference, width difference and height difference to obtain the data change item.

8. The method for three-dimensional reconstruction and dynamic change analysis of a tumor according to claim 1, characterized in that: The difference between the changing center item and the initial center item includes a lateral difference, a longitudinal difference and a height difference. When the lateral difference is a negative number, it indicates that the changing center item of the target tumor moves to the left compared with the initial center item, otherwise it moves to the right. When the longitudinal difference is a negative number, it indicates that the changing center item of the target tumor moves upward compared with the initial center item, otherwise it moves downward. When the height difference is a negative number, it indicates that the changing center item of the target tumor moves forward compared with the initial center item, otherwise it moves backward.

9. A tumor three-dimensional reconstruction and dynamic change analysis system, characterized in that: A tumor three-dimensional reconstruction and dynamic change analysis method as described in any one of claims 1-8 is used.

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