A system and method for analyzing the lateral weight-bearing zone of the femoral head

Abstract

This invention relates to a system and method for analyzing the lateral weight-bearing zone of femoral head necrosis. The method utilizes a data processing device to perform the following steps: First, an original femoral head necrosis model and an original femoral head model are formed based on CT and MR images. A first three-dimensional image, obtained by initial iteration and / or contour merging of the aforementioned models using a virtual reality device, is displayed from the operator's perspective. The lateral weight-bearing zone of the necrosis is obtained based on the three-dimensional image, and a lateral weight-bearing zone of the femur is generated based on the original femoral head model. The lateral weight-bearing zone of the necrosis, the lateral weight-bearing zone of the femur, and the first three-dimensional image are then further iterated and / or spatially registered using a virtual reality device to obtain a second three-dimensional image that can be imaged and displayed using either binding constraints or independent decomposition processing. This invention can accurately analyze the distribution of femoral head necrosis, effectively calibrate the lateral weight-bearing zone of femoral head necrosis, and accurately determine the spatial three-dimensional relationship of femoral head necrosis.

Description

[0001] Case Analysis

[0002] The original basis for this divisional application is patent application No. 201910878908.5, filed on September 17, 2019, entitled "An analytical device and method for femoral head integrity rate". Technical Field

[0003] This invention relates to the field of femoral head detection technology, and in particular to a system and method for analyzing the lateral weight-bearing area of ​​femoral head necrosis. Background Technology

[0004] Avascular necrosis of the femoral head is a relatively common joint disease. The causes are multifaceted, including fractures, alcoholism, excessive use of hormones, blood disorders, and burns. At the site of the disease, the blood supply to the tissues adjacent to the joint surface is disrupted, leading to ischemia of the entire femoral head. This results in deformation and collapse of the femoral head, severely impairing joint function. Diagnosis based solely on clinical symptoms and signs is difficult and prone to misdiagnosis or missed diagnosis. Currently, the main diagnostic methods used clinically are X-ray examination, CT scan, and MRI.

[0005] Bone marrow cell damage is a crucial clinical manifestation of femoral head necrosis, and the most fundamental factor causing this damage is the inability of the femoral head to receive timely and sufficient blood supply. Medical experts have staged the clinical observation of the femoral head. Stage I, the ischemic cell death stage, sees the mass death of osteoblasts and osteoblasts in the femoral head after 5 days. Stage II is the femoral bone cell repair and decomposition stage, characterized by the decomposition of necrotic tissue. During the repair process, inflammatory reactions occur between healthy and diseased tissues, leading to abnormal collagen fiber metabolism in the femoral head and further occlusion of microvessels. Stage III is the repair stage, where connective tissue and blood vessels may undergo necrosis absorption and proliferation simultaneously during repair. In Stage IV, the femoral head collapses. During this collapse stage, cartilage degeneration and defects occur, leading to arthritis. In the clinical diagnosis of avascular necrosis of the femoral head, X-ray examination is the most widely used method. Through examination, it is mainly possible to understand the patient's disease progression and the degree of bone necrosis. CT examination is also mainly used to understand the patient's bone necrosis. By analyzing the images, appropriate treatment methods can be selected.

[0006] Treatment methods for avascular necrosis of the femoral head are divided into surgical treatment and non-surgical treatment.

[0007] Non-surgical treatment typically includes the following methods:

[0008] 1. Avoid weight-bearing: This includes partial weight-bearing and non-weight-bearing. It is only applicable to femoral head necrosis before collapse, namely Ficat stage I and II. According to literature reports, the effect of simply adopting the treatment method of avoiding weight-bearing is not ideal, with a success rate of less than 15%. However, this method can be considered for femoral head necrosis where the lesion is located on the medial side of the femoral head.

[0009] 2. Drug treatment: There are few reports on the use of drugs to treat avascular necrosis of the femoral head. In general, the efficacy of drug treatment is still uncertain, but due to its non-invasive nature, it remains an important research direction.

[0010] 3. Other treatment methods: such as electrical stimulation therapy, shock wave therapy, hyperbaric oxygen therapy, etc., have few reports and their effects need further confirmation.

[0011] Surgical treatment typically includes the following methods:

[0012] 1. Femoral head preservation surgery. (1) Core decompression: The theoretical basis for treating avascular necrosis of the femoral head is the theory of increased intraosseous pressure due to osteonecrosis. Core decompression can reduce intraosseous pressure and increase blood flow in the femoral head. Moreover, core decompression can stimulate the growth of blood vessels in the decompression tunnel and promote the creeping replacement of necrotic bone. There are many articles on core decompression, but its efficacy is controversial. Its efficacy is closely related to the stage of avascular necrosis of the femoral head, but not so much related to the etiology of avascular necrosis of the femoral head. (2) Classic osteotomy: The purpose of osteotomy is to change the main weight-bearing area of ​​the femoral head and replace the necrotic bone with normal bone to become the main weight-bearing area. This method includes transtrochanteric rotation osteotomy, intertrochanteric varus osteotomy and intertrochanteric valgus osteotomy, etc., and can also be combined with bone grafting. It is mainly suitable for patients with Ficat stage II and III and small lesion range. The osteotomy position of classic osteotomy is located in the intertrochanteric area. The biggest disadvantage is that if the patient needs to undergo hip replacement surgery again, it will increase the difficulty of the operation. (3) Bone grafting: Bone grafting includes autologous cancellous bone grafting, autologous cortical bone grafting, allogeneic bone grafting, and cartilage grafting. It can be combined with other treatment methods such as core decompression, electrical stimulation, and osteotomy. Bone grafting methods include bone grafting after core decompression, bone grafting by slotting at the head-neck junction, opening a window in the femoral head articular cartilage, lifting the cartilage for bone grafting, and then repositioning the cartilage. Bone grafting can be used for Ficat stage II, early stage III patients, and patients who have failed core decompression. The short-term efficacy of this method is relatively certain, while the long-term efficacy is still controversial. However, it is worth affirming that bone grafting can accelerate femoral head repair and shorten bed rest time. Combining growth factors, electrical stimulation, and other methods to promote bone healing can improve its efficacy. (4) Blood-supply bone grafting: There are many methods of blood-supply bone grafting. The grafted bone can come from the iliac bone, greater trochanter, or fibula. It can be pedicled with muscles or blood vessels. Compared with ordinary bone grafting, blood-supply bone grafting can increase the blood supply to the femoral head and accelerate bone healing. Literature reports that its clinical effect is relatively ideal, but the improvement of X-ray is not ideal. In the long-term follow-up, a considerable number of patients still need to undergo joint replacement surgery. (5) Trabecular metal AVN reconstruction rod (tantalum rod): The trabecular metal AVN reconstruction rod is a porous tantalum metal prosthesis with porosity, three-dimensional structure and elastic modulus similar to cancellous bone. The high coefficient of friction with bone helps to maintain the initial stability after implantation. After implantation, it can form structural support for the necrotic area, which is conducive to the revascularization of the necrotic area. It can also be implanted using a minimally invasive method. These characteristics are all conducive to preventing the collapse and repair of the femoral head necrotic area and delaying the age of hip replacement. (6) Modified osteotomy: Similar to the classic osteotomy, its purpose is to change the main weight-bearing area of ​​the femoral head and replace the necrotic bone with normal bone to become the main weight-bearing area. It is mainly suitable for patients with Ficat stage II and III and small lesion range. The difference between this procedure and the classic osteotomy is that the osteotomy position is located in the femoral neck base area, which will not increase the difficulty of the surgery during the patient's hip replacement surgery.

[0013] 2. Joint replacement surgery. (1) Hip resurfacing: Hip resurfacing involves replacing the joint surface with an implant, preserving most of the subchondral bone of the acetabulum and femoral head, without invading the femoral neck and femoral medullary cavity, and preserving normal physiological and anatomical structures and relationships as much as possible while completing the treatment of the disease. (2) Total hip arthroplasty: It is the only option for the treatment of late-stage femoral head necrosis. With the progress of friction interface research and the application of new materials (such as ceramic artificial joints), the target population for total hip arthroplasty is trending younger.

[0014] However, current domestic and international diagnoses of avascular necrosis of the femoral head primarily rely on CT / MRI imaging. This method struggles to accurately determine the spatial relationships of the necrosis, fails to calculate the necrosis rate in the weight-bearing area of ​​the femoral head to the maximum extent possible in three-dimensional space, and cannot meet the needs of orthopedic surgeons for surgical simulation training. It also cannot fully adapt to the clinical requirements of surgical treatment for avascular necrosis of the femoral head. Orthopedic surgeons can only estimate the rotation angle based on CT / MRI images and, after that, roughly estimate whether it is possible to move most of the necrotic bone out of the weight-bearing area and move the normal bone area into the weight-bearing area. Even with an estimated result, in actual surgery, some surgeons may need to rotate to different angles to try and find a better surgical approach. This not only severely tests the surgeon's abilities in various aspects but also may result in surgical plans with certain flaws.

[0015] In osteotomy, the main purpose is to rotate the truly normal bone in the femoral head to the weight-bearing area, while removing the necrotic area from the weight-bearing area to prevent femoral head collapse and alleviate patient suffering. Before surgery, surgeons typically need as precise anatomy images (bones, blood vessels, muscles, etc.) as possible of the patient's body structure to plan the operation. This includes determining the size and location of the incision, avoiding nearby vital organs, and the optimal osteotomy location, amount of bone removed, displacement, and rotation to achieve a successful surgical outcome. Therefore, accurately determining the spatial three-dimensional relationship of femoral head necrosis and maximizing the calculation of the necrosis rate in the weight-bearing area of ​​the femoral head in three-dimensional space are urgent issues in the medical treatment of femoral head necrosis.

[0016] Chinese patent (publication number CN108921832A) discloses a method, apparatus, server, and medium for femoral head image analysis. The method includes: creating a three-dimensional model of the femoral head based on a target image including a necrotic area, wherein the three-dimensional model includes a three-dimensional model of the proximal femur and a three-dimensional model of the necrotic bone; creating an analysis model of the femoral head based on the three-dimensional model; and extracting the equivalent stress and total deformation of the weight-bearing area of ​​the femoral head based on the analysis model, and performing data analysis. This patent embodiment solves the problem of low accuracy in femoral head image analysis results in the prior art, and improves the accuracy of femoral head image analysis results.

[0017] Chinese patent (publication number CN108711187A) discloses a method for registering and fusing CT and MRI signals to establish a three-dimensional simulation model of the human lumbar spine. The method includes: acquiring computed tomography (CT) images; acquiring magnetic resonance imaging (MRI) images; establishing a three-dimensional model of the CT images; establishing a three-dimensional model of the MRI images; and registering and fusing the CT and MRI images, including simple registration based on the lumbar spine anatomy and global computational registration. This patent fully utilizes existing routine examinations such as CT and MRI combined with optimized MRI sequences to establish three-dimensional models of important soft tissues such as the intervertebral discs, nerve roots, and ligamentum flavum, whose accuracy can be cross-verified across different MRI sequences. This establishes a new, highly accurate medical imaging modeling method for the lumbar intervertebral discs, while significantly improving the utilization rate of medical imaging data.

[0018] Chinese patent (publication number CN107296650A) discloses an intelligent surgical assistance system based on virtual reality and augmented reality. It includes a data preprocessing unit, a preoperative planning unit, and an intraoperative assistance unit. The data preprocessing unit reconstructs a three-dimensional lesion model using raw CT / MRI images. The preoperative planning unit uses virtual reality equipment to build a virtual imaging studio, loads the three-dimensional lesion model, allowing the user to delve into the interior of the diseased organ to plan the surgical procedure, and exports the three-dimensional planning model. The intraoperative assistance unit uses augmented reality equipment to access the three-dimensional planning model, obtain its spatial feature points, and register and fuse them with the actual lesion site, helping doctors identify anatomical structures. It also displays surgical plan decisions and quantifies physiological data to execute the preoperative planning. This patent solves the problems of difficult anatomical structure identification and lack of real-time intraoperative navigation, improving the success rate of surgical procedures.

[0019] However, none of the above patents can effectively calibrate the detection results of the necrotic weight-bearing area and the femoral weight-bearing area, and cannot accurately calculate the integrity rate of the lateral femoral weight-bearing area. For example, it is difficult to accurately determine the spatial three-dimensional relationship of femoral head necrosis, and it is impossible to calculate the necrosis rate of the femoral head weight-bearing area to the maximum extent in three-dimensional space. Furthermore, it cannot meet the needs of orthopedic surgeons for femoral head necrosis surgical simulation training, and cannot fully adapt to the clinical needs of femoral head necrosis surgical treatment. Therefore, to overcome the shortcomings of the prior art and solve at least one of the above-mentioned technical problems, this invention provides an analytical device and method for determining the femoral head integrity rate by comprehensively analyzing and judging the original femoral head necrosis model, the original femoral head model, and the acetabular lunate plane model based on three-dimensional images.

[0020] Patent document CN108921832A discloses a method, apparatus, server, and medium for femoral head image analysis. The method includes: creating a three-dimensional model of the femoral head based on a target image including a necrotic area, wherein the three-dimensional model includes a three-dimensional model of the proximal femur and a three-dimensional model of the necrotic bone; creating an analysis model of the femoral head based on the three-dimensional model; and extracting the equivalent stress and total deformation of the weight-bearing area of ​​the femoral head based on the analysis model, and performing data analysis. This invention solves the problem of low accuracy in femoral head image analysis results in the prior art, and improves the accuracy of femoral head image analysis results.

[0021] The aforementioned method analyzes images of the femoral head with existing necrotic areas and performs three-dimensional reconstruction and simulation of the necrotic femoral head. However, this method requires scanning the femoral head under preset conditions. Since different scanning parameters result in variations in image information, this affects the image analysis results. Furthermore, the preset conditions cannot be customized for various femoral head conditions, thus limiting the applicability of this method. Additionally, while this method analyzes femoral head images and predicts femoral head collapse by extracting the equivalent stress and total deformation of the weight-bearing area, it cannot accurately analyze the necrosis distribution and necrosis rate in the weight-bearing area using equivalent stress and total deformation, nor can it accurately determine the spatial three-dimensional relationship of femoral head necrosis.

[0022] The paper "Reconstruction of the Three-Dimensional Structure of the Hip Joint in Avascular Necrosis of the Femoral Head Based on CT Tomographic Images" (Liu Dengjun et al., *Journal of Regional Anatomy and Surgical Techniques*, Vol. 20, No. 2) proposes a method for reconstructing the three-dimensional structure of the hip joint in avascular necrosis of the femoral head based on CT tomographic images. The aim is to explore a method for rapidly and accurately reconstructing the three-dimensional structure of the hip joint in avascular necrosis of the femoral head using virtual reality technology. The method uses 64-slice spiral CT continuous tomographic two-dimensional images of the hip joint, and Mimics software reconstructs the three-dimensional visualization structure of the acetabulum, proximal femur, femoral neck, and femoral head lesion tissue. The results show that the three-dimensional reconstruction images from the DICOM format data of the hip joint CT scan using Mimics medical image processing software have clear structures, realistically reproduce the structure of the acetabulum and proximal femur, and can locate the lesion tissue and calculate its volume. The conclusion is that Mimics software can accurately reconstruct the three-dimensional structure of the hip joint in avascular necrosis of the femoral head based on the raw DICOM data obtained from the CT scan, providing an objective basis for the assessment of bone quality and the selection of treatment options for avascular necrosis of the femoral head.

[0023] The above method uses virtual reality technology for three-dimensional structural reconstruction analysis of the femoral head and applies MRI images for analysis of the femoral head and the necrotic lateral weight-bearing area. However, this method cannot accurately analyze the distribution of the necrotic weight-bearing area after calibration.

[0024] Patent document WO2019034142A1 discloses a method, device, terminal, and storage medium for displaying a three-dimensional virtual image, belonging to the field of virtual reality technology. The method includes: acquiring a first model texture map and a second model texture map of the three-dimensional virtual image, wherein the three-dimensional virtual image includes a first model and a second model, the first model texture map includes texture data of each pixel in the first model, and the second model texture map includes texture data of each pixel in the second model; determining a target area of ​​the three-dimensional virtual image, setting the brightness of each pixel in the target area to an equal value in the shader; and rendering the first model texture map and the second model texture map through the shader to ensure that the brightness of each pixel in the displayed target area is equal after rendering. This invention embodiment can ensure that the brightness of pixels in the target area is equal, and the transition effect at the junction of the first model and the second model is natural without seams, thus improving the display effect.

[0025] The invention described above uses virtual reality technology to form a three-dimensional image from multiple models for display from the operator's perspective, but it cannot measure the necrotic weight-bearing area of ​​the femoral head and its distribution.

[0026] Patent document CN112386334A discloses a 3D-printed navigation template for femoral head necrosis, its construction method, and its application. This invention utilizes a precisely positioned navigation template customized for preoperative planning. Specifically, it involves acquiring and processing femoral head image data, reconstructing a three-dimensional model of the femoral head, locating the target area on the three-dimensional model, digitally generating a virtual navigation template, and 3D printing the navigation template to obtain a navigation base template that precisely matches the greater trochanter region of the femoral head, along with a navigation tube with optimal needle insertion angle and orientation. Based on a 3D-reconstructed and 3D-printed navigation template for femoral head necrosis, this invention can be directly applied to surgical navigation, effectively reducing radiation damage and trauma to patients, and facilitating operator mastery, operation, and technology promotion.

[0027] The above method uses 3D printing to obtain a navigation template for femoral head necrosis, which is used to make surgical operation navigation more intuitive. However, it does not disclose how to obtain the femoral head necrosis area, nor does it disclose an accurate analysis method for the femoral head necrosis area.

[0028] Furthermore, on the one hand, there are differences in understanding among those skilled in the art; on the other hand, the inventors studied a large number of documents and patents when making this invention, but due to space limitations, not all details and contents were listed in detail. However, this does not mean that the present invention does not possess the features of these prior art. On the contrary, the present invention already possesses all the features of the prior art, and the applicant reserves the right to add relevant prior art to the background art. Summary of the Invention

[0029] To address the shortcomings of existing technologies, this invention provides an analysis method for an analysis device of femoral head integrity rate. The analysis device further includes a data processing device. The analysis method of the data processing device includes at least the following steps: forming multiple models based on CT and MR images, including at least an original femoral head necrosis model, an original femoral head model, and an acetabular lunate plane model; performing initial iteration and / or contour merging of the above multiple models using a virtual reality device to obtain a first three-dimensional stereoscopic image from the operator's perspective; obtaining the necrotic lateral weight-bearing area based on the three-dimensional stereoscopic image, and generating a femoral lateral weight-bearing area based on the original femoral head model; performing subsequent iteration and / or spatial registration of the necrotic lateral weight-bearing area, the femoral lateral weight-bearing area, and the first three-dimensional stereoscopic image using the virtual reality device to obtain a second three-dimensional stereoscopic image that can be imaged and displayed in a manner that allows for binding constraints or independent decomposition processing; obtaining a first femoral lateral weight-bearing area integrity rate based on the necrotic lateral weight-bearing area and the femoral lateral weight-bearing area, thereby enabling the optimization of one or more parameters for virtual cutting, three-dimensional interaction, or three-dimensional measurement using the first femoral lateral weight-bearing area integrity rate.

[0030] Compared to traditional imaging tools such as CT and MRI, which only provide static three-dimensional images, users still only have a two-dimensional viewing perspective and cannot obtain data such as the distribution of femoral head necrosis and the necrosis rate in the weight-bearing area in a three-dimensional environment, this invention can generate three-dimensional images for analysis and processing based on CT and MR images. Furthermore, it performs comprehensive analysis and judgment based on the original femoral head necrosis model, the original femoral head model, and the acetabular lunate plane model from the three-dimensional images to generate accurate data on the necrosis distribution and the necrosis rate in the weight-bearing area.

[0031] Furthermore, the advantages of the femoral head integrity analysis device and method provided by this invention include at least the following: 1. By inputting CT and MR images to generate three-dimensional images for analysis and processing, a three-dimensional model of the hip joint is established on a VR interactive device. Then, the data processing device is used to calculate the integrity rate of the femoral head through osteotomy, rotation, varus, and weight-bearing area, providing corresponding data support for the planning of osteotomy surgery for femoral head necrosis. This allows for the evaluation of the merits of various surgical plans before surgery, greatly improving the accuracy and efficiency of surgical planning, increasing the success rate of surgery, and effectively reducing the cost of preoperative preparation.

[0032] 2. The integrity rate of the lateral weight-bearing area of ​​the first femur is calculated using a two-dimensional image processing algorithm, and then compared with the integrity rate calculated using a three-dimensional image. This cross-validation of the two methods improves the diagnostic necessity of surgery for femoral necrosis. For example, if the integrity rate of the second femur differs significantly from that of the lateral weight-bearing area of ​​the first femur, the data processing device can prompt the user to re-examine the integrity rate of the lateral weight-bearing area of ​​the first femur by sending prompts and / or alarms. This prevents distortion of the integrity rate due to errors caused by the doctor adjusting the reference plane position or by calculation errors in the data processing device's model decomposition of the three-dimensional image.

[0033] 3. Real-time generation of 3D images based on CT and MR images, achieved through sophisticated programming and high-performance graphics cards, accelerates rendering speed to reach the frame rate necessary for VR demonstrations. This enables surgeons to directly detect human anatomy in a virtual reality environment using realistic 3D images, perform virtual cutting, 3D interaction, and 3D measurement, and make the most appropriate surgical plan, effectively improving the success rate of surgery and protecting patients' lives and health.

[0034] According to a preferred embodiment, the data processing device includes at least a necrotic femoral head calculation module and a normal femoral head calculation module. The step of calibrating the original femoral head necrosis model by the original femoral head model includes at least the following steps: the necrotic femoral head calculation module generates a first necrotic weight-bearing area, the normal femoral head calculation module generates a second necrotic weight-bearing area, a calibrated third necrotic weight-bearing area is generated by performing a Boolean union operation on the first necrotic weight-bearing area and the second necrotic weight-bearing area, and the necrotic lateral weight-bearing area is extracted through the third necrotic weight-bearing area.

[0035] According to a preferred embodiment, the step of the data processing device generating the first necrotic weight-bearing area and the second necrotic weight-bearing area includes at least the following: the necrotic femoral head calculation module generates a necrotic surface model by extracting the non-overlapping area of ​​the original femoral head necrosis model and the original femoral head model, and generates the first necrotic weight-bearing area by comparing it with the acetabular lunate surface model; the normal femoral head calculation module generates the first femoral head weight-bearing area by comparing the original femoral head model with the acetabular lunate surface model, and generates a second necrotic weight-bearing area composed of the noise set by extracting noise from the first femoral head weight-bearing area.

[0036] According to a preferred embodiment, generating the lateral femoral weight-bearing area includes at least the following steps: the normal femoral head calculation module can generate an independent set of facets by traversing each triangular facet mesh of the first femoral head weight-bearing area, perform isolated noise removal based on the independent facet set to generate a second femoral head weight-bearing area composed of the remaining triangular facet mesh, and extract and generate the lateral femoral weight-bearing area based on the second femoral head weight-bearing area.

[0037] According to a preferred embodiment, the data processing device further includes an acetabular lunate surface calculation module, and generating the acetabular lunate surface model includes at least the following steps: the acetabular lunate surface calculation module extracts a hip bone image based on the three-dimensional image and traverses at least one vertex of the hip bone image. When the line segment formed by the vertex along the normal direction intersects with the original femoral head necrosis model or the original femoral head model, the vertex is defined as an acetabular surface point and extracted. When the acetabular surface points are repeatedly extracted and a set of acetabular surface points is formed, the acetabular lunate surface calculation module generates a set of triangular facets with at least three vertices as subsets of the set of acetabular surface points by traversing at least one triangular facet of the hip bone image. The acetabular lunate surface model is generated by removing isolated noise points based on the set of triangular facets.

[0038] According to a preferred embodiment, the triangular facet includes at least one fixed edge and two deformable edges, the fixed edge and the two deformable edges together forming a rigid elastic system.

[0039] According to a preferred embodiment, the third necrotic weight-bearing zone is extracted by the medial-lateral differentiation reference surface, and the second femoral head weight-bearing zone is extracted by the medial-lateral differentiation reference surface and the femoral lateral weight-bearing zone is generated.

[0040] According to a preferred embodiment, the data processing device is connected to a VR interaction device. When the data processing device transmits the original femoral head necrosis model, the original femoral head model, and the acetabular lunate surface model to the VR interaction device, the VR interaction device is configured to perform rotation operations on the original femoral head necrosis model, the original femoral head model, and the acetabular lunate surface model via an input device and be observed.

[0041] According to a preferred embodiment, generating the integrity rate of the first lateral femoral weight-bearing area includes at least the following steps: generating the entire lateral weight-bearing area based on the necrotic lateral weight-bearing area and the lateral femoral weight-bearing area, and generating the integrity rate of the first lateral femoral weight-bearing area based on the area ratio of the lateral femoral weight-bearing area to the entire lateral weight-bearing area.

[0042] According to a preferred embodiment, the data processing device is capable of performing image transformation on the CT image and generating the integrity rate of the second lateral femoral weight-bearing area.

[0043] According to a preferred embodiment, an analysis device for femoral head integrity rate includes at least: a scanning device for acquiring CT images and an MRI device for acquiring MR images. The analysis device further includes a data processing device configured to perform the following steps: forming multiple models based on CT and MR images, including at least an original femoral head necrosis model, an original femoral head model, and an acetabular lunate model; displaying a first three-dimensional image obtained by initial iteration and / or contour merging of the multiple models using a virtual reality device from the operator's perspective; obtaining a necrotic lateral weight-bearing area based on the three-dimensional image; generating a femoral lateral weight-bearing area based on the original femoral head model; and performing subsequent iteration and / or spatial registration of the necrotic lateral weight-bearing area, the femoral lateral weight-bearing area, and the first three-dimensional image using the virtual reality device to obtain a second three-dimensional image that can be imaged and displayed in a manner that allows for binding constraints or independent decomposition processing; obtaining a first femoral lateral weight-bearing area integrity rate based on the necrotic lateral weight-bearing area and the femoral lateral weight-bearing area; thereby enabling the optimization of one or more parameters by performing virtual cutting, three-dimensional interaction, or three-dimensional measurement based on the first femoral lateral weight-bearing area integrity rate. Attached Figure Description

[0044] Figure 1 This is a simplified device connection diagram of the femoral head integrity rate analysis device of the present invention;

[0045] Figure 2 This is a simplified flowchart illustrating the method for generating the integrity rate of the first lateral femoral weight-bearing area according to the present invention.

[0046] Figure 3 This is a simplified flowchart illustrating the method for generating the integrity rate of the second lateral femoral weight-bearing area according to the present invention.

[0047] Figure 4 This is a simplified structural connection diagram of a preferred VR interaction device of the present invention; and

[0048] Figure 5 This is a simplified orientation diagram of the preferred vertex normal of the present invention.

[0049] List of reference numerals

[0050] 1: Scanning device; 2: Nuclear magnetic resonance device

[0051] 3: Data processing device; 4: VR interaction device

[0052] 11: CT image; 21: MR image

[0053] 41: Input device 100: Original femoral head necrosis model

[0054] 102: Necrotic surface model; 103: First necrotic load-bearing zone

[0055] 104: Second necrotic weight-bearing zone; 105: Third necrotic weight-bearing zone

[0056] 200: Original femoral head model; 201: Lateral weight-bearing area of ​​the femur.

[0057] 202: Weight-bearing area of ​​the first femoral head; 203: Weight-bearing area of ​​the second femoral head.

[0058] 300: Lunate plane model of the acetabulum; 400: Integrity rate of the lateral weight-bearing area of ​​the first femur.

[0059] 401: Integrity rate of the lateral weight-bearing area of ​​the second femur; 101: Necrotic lateral weight-bearing area.

[0060] 42: Connecting cable Detailed Implementation

[0061] The following is in conjunction with the appendix Figures 1-5 The present invention will be described in detail below.

[0062] The vertex normal mentioned in this invention is defined as follows: when the coordinates of a three-dimensional vertex P are (x, y, z), such as... Figure 5 As shown, the vector n(x1,y1,z1) after normalizing the coordinates of point P is the normal to point P.

[0063] The triangular facet mentioned in this invention is defined as having at least one fixed edge and two deformable edges, which together constitute a rigid-elastic system. The two deformable edges can be used for finite element calculations, for example, by differentiating the triangular facet to an infinitely close unit element, thereby integrating to obtain a model that infinitely approximates the actual hip and femur.

[0064] The medial and lateral reference plane mentioned in this invention is defined as the plane within the acetabulum along the direction of gravity, belonging to the hip bone, and can be used to distinguish the medial and lateral weight-bearing areas of the femoral head. Physicians can determine the medial and lateral weight-bearing areas by adjusting the position of the reference plane.

[0065] The Boolean union operation mentioned in this invention is defined as a logical deduction method using digital symbols, including union, intersection, and subtraction. This logical operation method is used in graphics processing to generate new shapes from simple basic graphic combinations, and has evolved from two-dimensional Boolean operations to three-dimensional Boolean operations. Specifically, the Boolean union operation is defined as used to merge two models; the intersecting parts are deleted, and after the operation, the two objects become one.

[0066] Example 1

[0067] Embodiment 1 of the present invention discloses a method for analyzing the integrity rate of the femoral head, such as... Figure 1 As shown, it includes at least a data processing device 3, which includes at least a necrotic femoral head calculation module and a normal femoral head calculation module. The analysis method includes at least the following steps:

[0068] S1: As Figure 2 As shown, the data processing device 3 generates a first three-dimensional stereoscopic image for analysis and processing based on the CT image 11 and the MR image 21. The first three-dimensional stereoscopic image includes at least the original femoral head necrosis model 100, the original femoral head model 200, and the acetabular lunate surface model 300.

[0069] Preferably, the first three-dimensional image obtained by initial iteration and / or contour merging of the above-mentioned multiple models using a virtual reality device is displayed from the operator's perspective. Since there are overlapping areas between the original femoral head necrosis model 100, the original femoral head model 200, and the acetabular lunate surface model 300, the initial iteration involves repeatedly matching and fitting each pair of the original femoral head necrosis model 100, the original femoral head model 200, and the acetabular lunate surface model 300, integrating the multiple models into the first three-dimensional image. Preferably, the multiple models are integrated to form the first three-dimensional image with the overlapping areas having a transparency of 50% to 80%, while the remaining areas of each model excluding these overlapping areas have a transparency of 0%. Since there are overlapping regions between the original femoral head necrosis model 100, the original femoral head model 200, and the acetabular lunate surface model 300, contour merging is achieved by using the Sobel operator in image processing to perform edge detection on the original femoral head necrosis model 100, the original femoral head model 200, and the acetabular lunate surface model 300. This results in edge detection regions formed by smooth curve connections. Multiple matching and bonding processes are then performed between these models to integrate them into a first three-dimensional image. The initial iteration and / or contour merging can be adjusted by the operator.

[0070] S2: Generate a necrotic surface model 102 based on the non-overlapping regions of the original femoral head necrosis model 100 and the original femoral head model 200, and generate a first necrotic weight-bearing area 103 by comparing it with the acetabular lunate surface model 300.

[0071] S3: Based on the comparison between the original femoral head model 200 and the acetabular lunate plane model 300, a first femoral head weight-bearing area 202 is generated, and a second necrotic weight-bearing area 104 composed of a set of noise points is generated by extracting noise points from the first femoral head weight-bearing area 202.

[0072] Preferably, the comparison between the original femoral head model 200 and the acetabular lunate surface model 300 can be achieved by traversing every triangular facet mesh on the surface of the original femoral head model 200. If the line segments formed by extending the three vertices of the facet along their respective normal directions all intersect the acetabular lunate surface model 300, then the facet is extracted and placed in a constitutive set. The first femoral head weight-bearing area 202 is formed by all the triangular facet meshes in this set. The length of the three vertices extending along their respective normal directions in each triangular facet mesh on the surface of the original femoral head model 200 can be 0.010m-0.015m.

[0073] Preferably, the triangular facet is defined as having at least one fixed edge and two deformable edges, which together constitute a rigid-elastic system. The two deformable edges can be used for finite element calculations, for example, by differentiating the triangular facet to an infinite approximation of the unit element, thereby integrating to obtain a model that infinitely approximates the actual hip and femur.

[0074] S4: A calibrated third necrotic heavy-load area model 105 is generated by performing a Boolean union operation on the first necrotic heavy-load area 103 and the second necrotic heavy-load area 104, and the necrotic outer heavy-load area 101 is extracted through the third necrotic heavy-load area model 105.

[0075] S5: Generate an independent set of facets by traversing each triangular facet mesh of the first femoral head weight-bearing area 202, remove isolated noise points based on the independent facet set to generate the second femoral head weight-bearing area 203 composed of the remaining triangular facet meshes, and extract and generate the lateral femoral weight-bearing area 201 based on the second femoral head weight-bearing area 203.

[0076] Preferably, the method for generating the set of independent facets can be to traverse each triangular facet mesh of the first femoral head weight-bearing zone 202. If the line segments formed by the extension of the three vertices of the facet along their respective normal directions do not intersect the original femoral head necrosis model 100, then the facet is removed and placed in the initial set of independent facets. Subsequently, the initial set of independent facets is traversed. If the line segments formed by the extension of the three vertices of each traversed triangular facet along their respective normal directions do not intersect the original femoral head necrosis model 100, then the facet is removed. The above actions are repeated until all triangular facet networks that meet the conditions are selected and an independent facet set is formed. Wherein, the extension length of the three vertices of each triangular facet mesh of the first femoral head weight-bearing zone 202 along their respective normal directions can be 0.01m-0.02m, and the extension length of the three vertices of each triangular facet in the initial set of independent facets along their respective normal directions can be 1mm-3mm.

[0077] Preferably, the virtual reality device performs subsequent iterations and / or spatial registration of the necrotic lateral weight-bearing area 101 and the lateral femoral weight-bearing area 201 with the first three-dimensional stereoscopic image to obtain a second three-dimensional stereoscopic image that can be imaged and displayed in a manner that allows for binding constraints or independent decomposition processing. Since the necrotic lateral weight-bearing area 101 and the lateral femoral weight-bearing area 201 are extracted from multiple models constituting the first three-dimensional stereoscopic image, the subsequent iterations refer to multiple matching and bonding operations between each pair of the necrotic lateral weight-bearing area 101 and the lateral femoral weight-bearing area 201 and the first three-dimensional stereoscopic image obtained after the initial iteration, integrating them into the second three-dimensional stereoscopic image. Preferably, the second three-dimensional stereoscopic image is formed by integrating multiple regions, including at least the necrotic lateral weight-bearing area 101 and the lateral femoral weight-bearing area 201, such that the transparency of the overlapping regions with at least one model is 50% to 80%, while the transparency of the remaining regions after removing these overlapping regions is 0%. Preferably, spatial registration involves extracting regions from multiple regions and the first 3D stereoscopic image, obtaining the regional features of each region, matching these features to achieve region matching, and integrating them to form the second 3D stereoscopic image. Preferably, the multiple regions are not matched and fitted directly to the first 3D stereoscopic image, but rather matched with each region of the first 3D stereoscopic image through region feature matching. This directly obtains the regions on the first 3D stereoscopic image that correspond to the multiple regions. These regions on the first 3D stereoscopic image can be marked with different colors.

[0078] S6: Generate the entire lateral weight-bearing area based on the necrotic lateral weight-bearing area 101 and the lateral femoral weight-bearing area 201, and generate the first lateral femoral weight-bearing area integrity rate 400 based on the area ratio of the lateral femoral weight-bearing area 201 to the entire lateral weight-bearing area.

[0079] Preferably, the area of ​​the necrotic lateral weight-bearing zone 101 is defined as S1, and the area of ​​the lateral femoral weight-bearing zone 201 is defined as S2. The calculation formula for the integrity rate 400 of the first lateral femoral weight-bearing zone is: Rate = S2 / S1 + S2. Preferably, the integrity rate 400 of the first lateral femoral weight-bearing zone is obtained based on the necrotic lateral weight-bearing zone 101 and the lateral femoral weight-bearing zone 201, thereby enabling the optimization of one or more parameters for virtual cutting, three-dimensional interaction, or three-dimensional measurement using the integrity rate 400 of the first lateral femoral weight-bearing zone. Since the obtained second three-dimensional image (or simply three-dimensional image) is obtained through the process of matching multiple models and multiple regions, the models and regions are interconnected in a decomposable manner. In this way, the user can optimize the parameters of virtual cutting, three-dimensional interaction, and three-dimensional measurement of the obtained three-dimensional image through the input device 41. In particular, the parameters are optimized when it is necessary to obtain the necrotic area of ​​the femoral head weight-bearing area. For example, when the user sets the virtual cutting surface to perform virtual cutting on the three-dimensional image, the parameters of the set virtual cutting surface are optimized based on the obtained first femoral lateral weight-bearing area integrity rate 400, so that the necrotic area of ​​the femoral head weight-bearing area obtained by the virtual cutting surface is more accurate.

[0080] Preferably, the data processing apparatus 3 may be composed of a computer, processor, microprocessor controller, or programmable hardware including storage components capable of storing or receiving software or computer code. Preferably, the methods described above according to the invention may be implemented in hardware, firmware, or implemented as software or computer code that can be stored in recording media such as CD-ROM, RAM, floppy disk, hard disk, or magneto-optical disk, or implemented as computer code originally stored on a remote recording medium or non-transitory machine-readable medium and subsequently stored on a local recording medium after being downloaded via a network. Thus, the methods described herein can be stored as software processing on a recording medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware such as an ASIC or FPGA. It is understood that the computer, processor, microprocessor controller, or programmable hardware includes storage components capable of storing or receiving software or computer code, such as RAM, ROM, flash memory, etc., which implement the processing methods described herein when the software or computer code is accessed and executed by the computer, processor, or hardware. Furthermore, when a general-purpose computer accesses the code used to implement the processing shown herein, the execution of the code transforms the general-purpose computer into a dedicated computer for performing the processing shown herein. More preferably, the data processing device 3 can be a dedicated computer equipped with a virtual reality spinal surgery planning system, which includes at least a necrotic femoral head calculation module, a normal femoral head calculation module, and an acetabular lunate plane calculation module.

[0081] According to a preferred embodiment, the data processing device 3 further includes a lunate plane calculation module for the acetabular surface, and generating the lunate plane model 300 includes at least the following steps:

[0082] S1: The acetabular lunate plane calculation module extracts the hip bone image based on the three-dimensional image and traverses each vertex of the hip bone image. When the line segment formed by the vertex along the normal direction intersects with the original femoral head necrosis model 100 or the original femoral head model 200 respectively, the vertex is defined as the acetabular plane point and extracted. The length of the normal extension direction of each vertex of the hip bone image can be 0.010m-0.015m.

[0083] S2: When repeating the above actions until multiple acetabular facet points form a set of acetabular facet points, the acetabular lunate surface calculation module generates a set of triangular facets by traversing each triangular facet of the hip bone image, where all three vertices are subsets of the set of acetabular facet points. Based on the triangular facet set, isolated noise points are removed to generate an acetabular lunate surface model 300 composed of the remaining triangular facet mesh.

[0084] According to a preferred embodiment, such as Figure 4 As shown, the data processing device 3 is connected to the VR interaction device 4. When the data processing device 3 transmits the original femoral head necrosis model 100, the original femoral head model 200, and the acetabular lunate surface model 300 to the VR interaction device 4, the VR interaction device 4 is configured to perform rotation operations on the original femoral head necrosis model 100, the original femoral head model 200, and the acetabular lunate surface model 300 via the input device 41 and to be observed. Preferably, the VR interaction device 4 can transmit signals to the data processing device 3 via a connecting cable 42; more preferably, the connecting cable can be an HDMI signal transmission cable.

[0085] Preferably, the input device 41 can consist of a keyboard, mouse, and laser pointer. Medical personnel can use the keyboard and mouse to annotate the original femoral head necrosis model 100 in the 3D image, adjust the grayscale of the 3D image to make it easier for the user to observe, and adjust the position of reference surfaces in the image to determine the inner and outer sides of the weight-bearing zone. Preferably, the user can rotate and observe the 3D image displayed on the VR interaction device 4 using a laser pointer while wearing 3D glasses.

[0086] Even better, users can create multiple planes in a 3D image to form a selection area. Without moving the overall 3D image, the selection area can be rotated individually, allowing for clearer and more accurate observation of the structure within the selection area. This enables virtual cutting, 3D interaction, and 3D measurement, resulting in the most reasonable surgical plan, effectively improving the success rate of the surgery and protecting the patient's life and health.

[0087] According to a preferred embodiment, such as Figure 3 As shown, the data processing device 3 can perform image transformation on CT images and generate a second femoral lateral weight-bearing area integrity rate 401.

[0088] Preferably, the integrity rate 401 of the second lateral femoral weight-bearing area can be used to verify the integrity rate 400 of the first lateral femoral weight-bearing area. When the difference between the integrity rate 401 of the second femoral bone and the integrity rate 400 of the first lateral femoral weight-bearing area is too large, the data processing device 3 can prompt the user to recheck the integrity rate 400 of the first lateral femoral weight-bearing area by sending prompts and / or alarms. This prevents the value of the integrity rate 400 of the first lateral femoral weight-bearing area from being distorted due to errors in the doctor's adjustment of the reference plane position or calculation errors in the data processing device 3's model decomposition of the three-dimensional image.

[0089] According to a preferred embodiment, the third necrotic weight-bearing area model 105 extracts the necrotic lateral weight-bearing area 101 through the medial-lateral differentiation reference surface, and the second femoral head weight-bearing area 203 extracts and generates the femoral lateral weight-bearing area 201 through the medial-lateral differentiation reference surface.

[0090] Preferably, the reference plane for distinguishing the medial and lateral sides is defined as the plane within the acetabulum along the direction of gravity, which can be used to distinguish the medial and lateral weight-bearing areas of the femoral head. The physician can determine the medial and lateral weight-bearing areas by adjusting the position of the reference plane.

[0091] It should be noted that, depending on the implementation needs, the various steps described in this application can be broken down into more steps, or two or more steps or parts of the operations of steps can be combined into new steps to achieve the purpose of this invention. Similarly, the various functional modules described in this application can be broken down into more functional modules, or two or more functional modules or parts of the functions of functional modules can be combined into new functional modules to achieve the purpose of this invention.

[0092] Example 2

[0093] This embodiment discloses an analysis device for the integrity rate of the femoral head. Without causing conflict or contradiction, the whole and / or part of the preferred implementation of other embodiments can be used as a supplement to this embodiment.

[0094] According to a preferred embodiment, the analysis apparatus includes at least a scanning device 1 for acquiring CT images 11 and an MRI device 2 for acquiring MR images 21. The analysis apparatus also includes a data processing device 3, which is capable of generating a three-dimensional image for analysis based on the CT images 11 and MR images 21. The three-dimensional image includes at least a primary femoral head necrosis model 100, a primary femoral head model 200, and a lunate plane model of the acetabulum 300. Preferably, the scanning device 1 can be one or more of a thermal computed tomography (CT) scanner, a far-infrared computed tomography (FCT) scanner, and a computed tomography (CT) scanner.

[0095] According to a preferred embodiment, the data processing device 3 is configured as a necrotic femoral head calculation module and a normal femoral head calculation module. The necrotic femoral head calculation module calibrates the original necrotic femoral head model 100 based on the original femoral head model 200 and generates a necrotic lateral weight-bearing area 101. At the same time, the normal femoral head calculation module generates a lateral femoral weight-bearing area 201 based on the original femoral head model 200. Based on the necrotic lateral weight-bearing area 101 and the lateral femoral weight-bearing area 201, a first lateral femoral weight-bearing area integrity rate 400 is generated.

[0096] According to a preferred embodiment, the data processing device 3 is connected to the VR interaction device 4. When the data processing device 3 transmits the original femoral head necrosis model 100, the original femoral head model 200, and the acetabular lunate surface model 300 to the VR interaction device 4, the VR interaction device 4 is configured to perform rotation operations on the original femoral head necrosis model 100, the original femoral head model 200, and the acetabular lunate surface model 300 through the input device 41 and be observed.

[0097] Preferably, the input device 41 can consist of a keyboard, mouse, and laser pointer. Medical personnel can use the keyboard and mouse to annotate the original femoral head necrosis model 100 in the 3D image, adjust the grayscale of the 3D image to make it easier for the user to observe, and adjust the position of reference surfaces in the image to determine the inner and outer sides of the weight-bearing zone. Preferably, the user can rotate and observe the 3D image displayed on the VR interaction device 4 using a laser pointer while wearing 3D glasses.

[0098] Even better, users can create multiple planes in a 3D image to form a selection area. Without moving the overall 3D image, the selection area can be rotated individually, allowing for clearer and more accurate observation of the structure within the selection area. This enables the user to perform virtual cutting, 3D interaction, and 3D measurement, making the most reasonable surgical plan, effectively improving the success rate of the surgery and protecting the patient's life and health.

[0099] Preferably, compared to traditional imaging tools such as CT and MRI, which only provide static three-dimensional images, users still only have a two-dimensional viewing perspective and cannot obtain data such as the distribution of femoral head necrosis and the necrosis rate in the weight-bearing area in a three-dimensional environment, this invention can generate three-dimensional images for analysis and processing based on CT image 11 and MR image 21, and perform comprehensive analysis and judgment based on the original femoral head necrosis model 100, the original femoral head model 200, and the acetabular lunate plane model 300 of the three-dimensional images to generate accurate data on the necrosis distribution and the necrosis rate in the weight-bearing area.

[0100] It should be noted that the specific embodiments described above are exemplary, and those skilled in the art can devise various solutions inspired by the disclosure of this invention. These solutions all fall within the scope of this invention and its protection. Those skilled in the art should understand that this specification and its accompanying drawings are illustrative and not intended to limit the scope of the claims. The scope of protection of this invention is defined by the claims and their equivalents.

Claims

1. A system for analyzing the lateral weight-bearing zone of the femoral head necrosis, comprising a data processing device (3), characterized in that, The data processing device (3) is configured to perform the following steps: Based on the CT image (11) and the MR image (21), a plurality of models including the original femoral head necrosis model (100), the original femoral head model (200) and the acetabular lunar surface model (300) are formed, and the first three-dimensional image obtained after the initial iteration and / or contour merging of the above plurality of models is imaged and displayed in the perspective of the operator through the virtual reality device, Based on the necrotic lateral load area (101) obtained from the plurality of models constituting the first three-dimensional image, the femoral lateral load area (201) is generated based on the original femoral head model (200), and the virtual reality device is used to perform subsequent iteration and / or spatial registration of the necrotic lateral load area (101), the femoral lateral load area (201) and the first three-dimensional image, to obtain a second three-dimensional image which is imaged and displayed in a way of binding constraint or decomposition independent processing, and the first femoral lateral load area integrity (400) is obtained based on the necrotic lateral load area (101) and the femoral lateral load area (201), so that the first femoral lateral load area integrity (400) is used as an execution parameter for optimizing virtual cutting, three-dimensional interaction or three-dimensional measurement, Based on the comparison of the original femoral head model (200) and the acetabular lunar surface model (300), the first femoral head load area (202) is generated, the second femoral head load area (203) is generated based on the first femoral head load area (202), and the femoral lateral load area (201) is extracted and generated based on the second femoral head load area (203), The data processing device (3) at least includes a necrotic femoral head calculation module and a normal femoral head calculation module, and the step of calibrating the original femoral head model (200) to the original femoral head necrosis model (100) at least includes: The necrotic femoral head calculation module generates a first necrotic load area (103), and the normal femoral head calculation module generates a second necrotic load area (104), A calibrated third necrotic load area (105) is generated by performing a Boolean set operation on the first necrotic load area (103) and the second necrotic load area (104), and the necrotic lateral load area (101) is extracted through the third necrotic load area (105).

2. The system of claim 1, wherein, The data processing device (3) generates the first necrotic load area (103) at least including: The necrotic femoral head calculation module generates a necrotic surface model (102) by extracting the non-intersecting overlapping area of the original femoral head necrosis model (100) and the original femoral head model (200), and generates a first necrotic load area (103) by comparing with the acetabular lunar surface model (300).

3. The system of claim 2, wherein, The data processing device (3) generates the second necrotic load area (104) at least including: The normal femoral head calculation module generates a first femoral head weight-bearing area (202) by comparing the original femoral head model (200) with the acetabular articular surface model (300), and generates a second necrosis weight-bearing area (104) composed of a set of noise points by extracting noise points from the first femoral head weight-bearing area (202).

4. The system of claim 1, wherein, The third necrosis weight-bearing area (105) is extracted by the medial-lateral reference surface.

5. An imaging display method using the system for analyzing the lateral weight-bearing area of the femoral head necrosis according to any one of claims 1 to 4, characterized by, The imaging display method comprises the following steps: S1 Forming a plurality of models including an original femoral head necrosis model (100) and an original femoral head model (200) based on CT images (11) and MR images (21), and imaging and displaying a first three-dimensional image obtained by initial iteration and / or contour merging of the plurality of models by a virtual reality device from the perspective of an operator; S2 Obtaining a necrosis lateral weight-bearing area (101) based on the plurality of models constituting the first three-dimensional image, and generating a femoral lateral weight-bearing area (201) based on the original femoral head model (200), and subsequently iterating and / or spatially registering the necrosis lateral weight-bearing area (101), the femoral lateral weight-bearing area (201), and the first three-dimensional image by the virtual reality device to obtain a second three-dimensional image that can be imaged and displayed in a bound constraint or decomposed independent manner.

6. The imaging display method according to claim 5, wherein The method for generating the femoral lateral weight-bearing area (201) comprises at least the following steps: The normal femoral head calculation module can generate an independent facet set by traversing each triangular facet mesh of the first femoral head weight-bearing area (202), Based on the independent facet set, isolated noise points are removed to generate a second femoral head weight-bearing area (203), Based on the second femoral head weight-bearing area (203), the femoral lateral weight-bearing area (201) is extracted and generated.

7. The imaging display method according to claim 6, wherein The triangular facet comprises at least one fixed edge and two deformation edges, and the fixed edge and the two deformation edges together constitute a rigid elastic system.

8. The imaging display method according to claim 5, wherein The method for generating the necrosis lateral weight-bearing area (101) comprises at least the following steps: The necrosis femoral head calculation module calibrates the original femoral head model (200) based on the original femoral head model (100) and generates the necrosis lateral weight-bearing area (101).

9. The imaging display method according to claim 8, wherein The step of calibrating the original femoral head model (200) based on the original femoral head model (100) comprises at least: The necrosis femoral head calculation module generates a first necrosis weight-bearing area (103), and the normal femoral head calculation module generates a second necrosis weight-bearing area (104), A calibrated third necrosis weight-bearing area (105) is generated by performing a Boolean set operation on the first necrosis weight-bearing area (103) and the second necrosis weight-bearing area (104), and the necrosis lateral weight-bearing area (101) is extracted by the third necrosis weight-bearing area (105).

Images