Method and device for evaluating femoral tunnel positioning accuracy after ACL reconstruction

Abstract

The invention provides an evaluation method and device for femoral tunnel positioning accuracy after ACL reconstruction. The evaluation method comprises the steps that a preoperative intercondylar fossa outer side wall three-dimensional model is reconstructed according to a preoperative CT image of a knee joint of a patient, and a compact bone area is marked; reconstructing a postoperative intercondylar fossa outer side wall three-dimensional model according to the CT image of the knee joint of the same postoperative patient, and extracting a femoral tunnel prepared by taking a dense bone region as an anatomical marker at a femoral tunnel portal of the intercondylar fossa outer side wall; calculating the overlapping ratio of the femoral tunnel portal and the dense bone area; judging whether the overlapping rate is higher than a preset threshold, and if yes, judging that the femoral tunnel is successfully positioned; and if not, determining that the femoral tunnel positioning fails. Based on objective analysis of a compact bone area, whether femoral tunnel positioning succeeds or not can be accurately evaluated, the tunnel deviation degree can be visually reflected through quantitative evaluation of the overlapping rate, then the postoperative stability and clinical prognosis are predicted, the requirements of evidence-based medicine are met, and good clinical application prospects are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of ACL reconstruction, and in particular to a method and device for evaluating the positioning accuracy of a femoral tunnel after ACL reconstruction surgery. Background Art

[0002] ACL reconstruction has become a widely used treatment for ACL (anterior cruciate ligament) injuries. This surgery aims to restore knee stability by reconstructing the damaged ligament. During ACL reconstruction, the surgeon must accurately locate the ACL insertion point on the patient's femur (thighbone), where the ligament attaches to the lateral wall of the intercondylar notch of the femur. Accurate positioning is crucial to the success of the surgery, as it directly affects the functional restoration of the reconstructed ligament and the stability of the knee joint.

[0003] During traditional ACL reconstruction, surgeons rely primarily on intraoperative visual observation and experience to locate the femoral tunnel, and on the patient's postoperative recovery to assess surgical outcomes. However, this approach is subjective and limited, relying on the surgeon's personal experience and the patient's subjective feelings, lacking objective evaluation criteria. This subjectivity hinders the prediction of postoperative stability, clinical prognosis, and faster recovery of knee function. Summary of the Invention

[0004] In view of the above problems, the embodiments of the present invention provide a method and device for evaluating the accuracy of femoral tunnel positioning after ACL reconstruction surgery, which solve the technical problem of the existing subjective femoral tunnel evaluation.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] In a first aspect, the present invention provides a method for evaluating the accuracy of femoral tunnel positioning after ACL reconstruction surgery, the method comprising:

[0007] The preoperative three-dimensional model of the lateral wall of the intercondylar notch was reconstructed based on the preoperative CT images of the patient's knee joint and the dense bone area was marked;

[0008] The three-dimensional model of the lateral wall of the intercondylar notch was reconstructed based on the CT images of the knee joint of the same patient after surgery, and the femoral tunnel opening in the lateral wall of the intercondylar notch was extracted.

[0009] The overlap ratio between the femoral tunnel opening and the dense bone area was calculated;

[0010] It is determined whether the overlap rate is higher than a preset threshold. If so, it is determined that the femoral tunnel positioning is successful; if not, it is determined that the femoral tunnel positioning fails.

[0011] In one embodiment, reconstructing a preoperative three-dimensional model of the lateral wall of the intercondylar notch based on a preoperative CT image of the patient's knee joint and marking the dense bone area includes:

[0012] Acquire a preoperative CT image of the patient's knee joint to obtain a preoperative CT image of the knee joint;

[0013] The preoperative CT images of the knee joint were reconstructed in three dimensions to obtain the preoperative three-dimensional model of the lateral wall of the intercondylar notch;

[0014] Based on the preoperative three-dimensional model of the lateral wall of the intercondylar fossa, the CT value threshold segmentation method was used to mark the area with higher bone density on the lateral wall of the intercondylar fossa and obtain the dense bone area.

[0015] In one embodiment, reconstructing a three-dimensional model of the lateral wall of the intercondylar notch after surgery based on a CT image of the knee joint of the same patient after surgery and extracting the femoral tunnel opening of the femoral tunnel prepared with the dense bone area as the starting point in the lateral wall of the intercondylar notch includes:

[0016] Acquire a CT image of the knee joint of the same patient after surgery to obtain a postoperative CT image of the knee joint;

[0017] The postoperative CT images of the knee joint were reconstructed in three dimensions to obtain a three-dimensional model of the lateral wall of the intercondylar notch.

[0018] Image features were extracted based on the three-dimensional model of the lateral wall of the intercondylar notch after surgery to obtain the femoral tunnel opening.

[0019] In one embodiment, calculating the overlap ratio between the femoral tunnel opening and the dense bone area includes:

[0020] Determine the total number of pixels in the femoral tunnel opening and compact bone area;

[0021] Determine the number of pixels in the overlapping portion of the femoral tunnel opening and the dense bone area;

[0022]

[0023] In a second aspect, the present invention provides a device for evaluating the accuracy of femoral tunnel positioning after ACL reconstruction surgery, the device comprising:

[0024] Reconstruction and marking module: used to reconstruct the preoperative three-dimensional model of the lateral wall of the intercondylar notch based on the preoperative CT image of the patient's knee joint and mark the dense bone area;

[0025] Reconstruction and extraction module: used to reconstruct the three-dimensional model of the lateral wall of the intercondylar notch after surgery based on the CT image of the knee joint of the same patient after surgery and extract the femoral tunnel opening on the lateral wall of the intercondylar notch prepared with the dense bone area as the starting point;

[0026] Calculation module: used to calculate the overlap rate between the femoral tunnel opening and the dense bone area;

[0027] Evaluation module: used to determine whether the overlap rate is higher than a preset threshold. If so, the femoral tunnel positioning is determined to be successful; if not, the femoral tunnel positioning is determined to be a failure.

[0028] In one embodiment, the reconstruction marking module is specifically configured to:

[0029] Acquire a preoperative CT image of the patient's knee joint to obtain a preoperative CT image of the knee joint;

[0030] The preoperative CT images of the knee joint were reconstructed in three dimensions to obtain the preoperative three-dimensional model of the lateral wall of the intercondylar notch;

[0031] Based on the preoperative three-dimensional model of the lateral wall of the intercondylar fossa, the CT value threshold segmentation method was used to mark the area with higher bone density on the lateral wall of the intercondylar fossa and obtain the dense bone area.

[0032] In one embodiment, the reconstruction and extraction module is specifically configured to:

[0033] Acquire a CT image of the knee joint of the same patient after surgery to obtain a postoperative CT image of the knee joint;

[0034] The postoperative CT images of the knee joint were reconstructed in three dimensions to obtain a three-dimensional model of the lateral wall of the intercondylar notch.

[0035] Image features were extracted based on the three-dimensional model of the lateral wall of the intercondylar notch after surgery to obtain the femoral tunnel opening.

[0036] In one embodiment, the calculation module is specifically configured to:

[0037] Determine the total number of pixels in the femoral tunnel opening and compact bone area;

[0038] Determine the number of pixels in the overlapping portion of the femoral tunnel opening and the dense bone area;

[0039]

[0040] In a third aspect, the present invention provides an electronic device, comprising:

[0041] processor, memory, and an interface for communicating with the gateway;

[0042] The memory is used to store programs and data, and the processor calls the program stored in the memory to execute the method for evaluating the accuracy of femoral tunnel positioning after ACL reconstruction surgery provided by any one of the first aspects.

[0043] In a fourth aspect, the present invention provides a computer-readable storage medium, comprising a program, which, when executed by a processor, is used to perform a method for evaluating the accuracy of femoral tunnel positioning after ACL reconstruction surgery provided in any one of the first aspects.

[0044] The beneficial effects of the present invention are as follows: the present invention uses three-dimensional reconstruction technology to obtain the dense bone area of the preoperative three-dimensional model of the lateral wall of the intercondylar fossa, obtains the femoral tunnel opening in the lateral wall of the intercondylar fossa, and uses the dense bone area as an anatomical landmark in the postoperative three-dimensional model of the lateral wall of the intercondylar fossa. By calculating the overlap rate between the femoral tunnel opening and the dense bone area, the success of femoral tunnel positioning is determined based on the overlap rate. The intuitive assessment of the starting point of the femoral tunnel using three-dimensional CT reconstruction technology effectively compensates for the shortcomings of two-dimensional imaging technology. Based on the objective analysis of the dense bone area, the success of femoral tunnel positioning can be accurately assessed, which has significant advantages over subjective intraoperative observation. The quantitative assessment of the overlap rate can intuitively reflect the degree of tunnel deviation and thus predict postoperative stability and clinical prognosis. This provides a new evaluation method and approach for femoral tunnel positioning in traditional ACL reconstruction surgery, and has important clinical significance. The present invention meets the requirements of evidence-based medicine and has good clinical application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 FIG2 is a flow chart of a method for evaluating femoral tunnel positioning accuracy after ACL reconstruction surgery provided by one embodiment of the present invention;

[0046] Figure 2 Schematic diagram of the preoperative three-dimensional model of the lateral wall of the intercondylar notch with the dense bone area marked;

[0047] Figure 3 Schematic diagram of the three-dimensional model of the lateral wall of the intercondylar notch after surgery with failed femoral tunnel positioning;

[0048] Figure 4 Schematic diagram of the three-dimensional model of the lateral wall of the intercondylar notch after successful femoral tunnel positioning;

[0049] Figure 5 FIG2 is a schematic structural diagram of a device for evaluating the positioning accuracy of a femoral tunnel after ACL reconstruction surgery provided by one embodiment of the present invention;

[0050] Figure 6 FIG2 is a schematic structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0051] To make the objectives, technical solutions, and advantages of the present invention more clear and understandable, the present invention is further described below with reference to the accompanying drawings and specific embodiments. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of the present invention.

[0052] After a complex and delicate anterior cruciate ligament (ACL) reconstruction surgery, ensuring the patient's subsequent recovery process is smooth is crucial to improving treatment outcomes, reducing complications, and accelerating functional recovery. The femoral tunnel, as a key component of ACL reconstruction, has a positioning accuracy that is directly related to the success of the surgery and the patient's long-term prognosis. In view of this, the present invention proposes a method for evaluating the positioning accuracy of the femoral tunnel after ACL reconstruction, which aims to achieve a high-precision quantitative evaluation of the positioning accuracy of the femoral tunnel after ACL reconstruction. Figure 1 As shown, the method specifically includes:

[0053] S110: Reconstruct the preoperative three-dimensional model of the lateral wall of the intercondylar notch based on the preoperative CT image of the patient's knee joint and mark the dense bone area.

[0054] Preoperative CT images of the patient's knee joint can be obtained using computed tomography. The dense bone area is the functional insertion site of the ACL and the connection between the anterior cruciate ligament and the femur. During ACL reconstruction, this dense bone area serves as the starting point for the femoral tunnel opening in the lateral wall of the intercondylar notch. Conventional ACL reconstruction also uses the functional insertion site of the ACL as the starting point for the femoral tunnel opening in the lateral wall of the intercondylar notch.

[0055] Specifically, a preoperative CT image of the patient's knee joint is acquired to obtain a preoperative CT image of the knee joint.

[0056] Before surgery, the patient's knee joint was scanned with CT scan to obtain continuous cross-sectional images (i.e., preoperative knee joint CT images).

[0057] The preoperative CT images of the knee joint were reconstructed in three dimensions to obtain the preoperative three-dimensional model of the lateral wall of the intercondylar notch.

[0058] Ensure that the preoperative knee CT image has sufficient resolution and contrast; use a medical image post-processing workstation (such as Mimics, 3D Slicer, or Materialise Magics, etc.) to import the preoperative knee CT image; preprocess the preoperative knee CT image, including denoising, contrast enhancement, and adjustment of window width and window position, to optimize image quality; use the threshold segmentation function in the medical image post-processing workstation to select an appropriate threshold range to distinguish between bone and soft tissue, and apply region growing or edge detection algorithms to accurately segment the area of the lateral wall of the intercondylar notch; use the 3D reconstruction tools of the medical image post-processing workstation, such as surface reconstruction or volume reconstruction, to generate a 3D model; edit and optimize the generated 3D model to remove unnecessary parts to ensure the accuracy and completeness of the model; smooth the 3D model to reduce surface roughness; finally, export the 3D model to a common 3D file format, such as STL or OBJ, to obtain the preoperative 3D model of the lateral wall of the intercondylar notch.

[0059] Based on the preoperative three-dimensional model of the lateral wall of the intercondylar fossa, the CT value threshold segmentation method was used to mark the area with higher bone density on the lateral wall of the intercondylar fossa and obtain the dense bone area.

[0060] Based on the fact that the preoperative lateral wall of the intercondylar fossa has different CT values (i.e., X-ray attenuation values) on the CT image, a CT value threshold range is set and the pixels within the CT value threshold range (e.g., above +100HU) are marked as dense bone areas, thereby marking the areas with higher bone density on the preoperative lateral wall of the intercondylar fossa three-dimensional model and obtaining the dense bone areas (e.g., Figure 2 shown).

[0061] S120: Based on the CT images of the knee joint of the same patient after surgery, a three-dimensional model of the lateral wall of the intercondylar notch was reconstructed and the femoral tunnel opening of the femoral tunnel prepared with the dense bone area as the starting point in the lateral wall of the intercondylar notch was extracted.

[0062] Postoperative CT images of the same patient's knee joint were also obtained by computed tomography. The time interval between preoperative and postoperative periods was approximately 6 weeks. Reconstruction was performed based on the postoperative CT images of the same patient's knee joint to obtain a three-dimensional model of the lateral wall of the intercondylar fossa. The femoral tunnel opening of the femoral tunnel was obtained based on the three-dimensional model of the lateral wall of the intercondylar fossa.

[0063] Specifically, a CT image of the knee joint of the same patient after surgery is collected to obtain a postoperative knee joint CT image. This step can be performed in accordance with the method for obtaining the preoperative knee joint CT image in S110.

[0064] Perform three-dimensional reconstruction on the postoperative knee joint CT image to obtain a three-dimensional model of the postoperative intercondylar notch lateral wall. This step can be performed in the same manner as the preoperative three-dimensional model of the intercondylar notch lateral wall in S110.

[0065] Image features were extracted based on the three-dimensional model of the lateral wall of the intercondylar notch after surgery to obtain the femoral tunnel opening.

[0066] Obtain model data of a three-dimensional model of the lateral wall of the intercondylar notch after surgery, and preprocess the obtained model data, including but not limited to denoising and contrast enhancement, to better identify features of the femoral tunnel; use image processing techniques, including but not limited to edge detection and morphological operations, to identify and extract features of the femoral tunnel, including but not limited to the edge, shape, and size of the tunnel opening, to obtain the femoral tunnel opening.

[0067] S130: Calculate the overlap rate between the femoral tunnel opening and the dense bone area.

[0068] Specifically, the total number of pixels in the femoral tunnel opening and dense bone area was determined.

[0069] This can be achieved by counting the total number of pixels in the femoral tunnel opening and dense bone area.

[0070] Determine the number of pixels in the overlapping portion of the femoral tunnel opening and the dense bone area.

[0071] This can be achieved by comparing the boundaries of the femoral tunnel opening and the dense bone area and finding common pixels.

[0072] The percentage of the number of overlapping pixels to the number of pixels at the femoral tunnel opening is called the overlap rate.

[0073] It can be expressed as:

[0074]

[0075] The overlap ratio can be used to objectively quantify the proportion of overlapping areas within the femoral tunnel opening. If the overlap ratio is zero, the femoral tunnel opening is completely outside the dense bone area; if the overlap ratio is 1, the femoral tunnel opening is completely within the dense bone area; and if the overlap ratio is greater than zero and less than 1, the femoral tunnel opening is partially within the dense bone area. (In other words, the overlap ratio directly reflects the accuracy of femoral tunnel positioning: a higher overlap ratio indicates more successful femoral tunnel positioning.) The overlap ratio is defined as the percentage of overlapping areas to the total number of pixels within the femoral tunnel opening, rather than the proportion of overlapping areas within the non-dense bone area to the total number of pixels. This is intended to mitigate the potential for bias in the overlap ratio data due to excessively large dense bone areas.

[0076] S140: Determine whether the overlap rate is higher than a preset threshold. If so, determine that the femoral tunnel positioning is successful; if not, determine that the femoral tunnel positioning is unsuccessful.

[0077] This step can be determined by a computer or by a clinical physician. When the computer determines, a preset threshold value is set to determine whether the overlap rate is higher than the preset threshold value. If so, the femoral tunnel positioning is determined to be successful (i.e., Figure 4 If not, the femoral tunnel positioning is determined to be a failure (i.e. Figure 3 The results are presented in the following table (see the scenario shown) for clinical physicians' reference. When a clinician makes a judgment, a preset threshold can be determined based on clinical experience to determine whether the overlap rate exceeds the preset threshold. If so, femoral tunnel positioning is considered successful; if not, femoral tunnel positioning is considered unsuccessful. This evaluation method not only provides clinicians with an intuitive and quantitative assessment tool but also helps to promptly detect and correct positioning deviations, thereby optimizing surgical outcomes and improving patient recovery quality.

[0078] In summary, the embodiments of the present invention, by introducing three-dimensional CT reconstruction technology and an overlap calculation method, provide a novel solution for accurately assessing femoral tunnel positioning after ACL reconstruction surgery. This approach accurately assesses the success of femoral tunnel positioning, offering significant advantages over subjective intraoperative observation. Quantitative assessment of the overlap rate can intuitively reflect the degree of tunnel deviation, thereby predicting postoperative stability and clinical prognosis. This approach not only overcomes the shortcomings of traditional two-dimensional imaging technology in terms of assessment accuracy and objectivity, but also provides clinicians with a more scientific and reliable basis for assessment. Furthermore, the present invention complies with the requirements of evidence-based medicine and has promising prospects for clinical application.

[0079] Based on the same inventive concept, an embodiment of the present application also provides a device for evaluating the accuracy of femoral tunnel positioning after ACL reconstruction, which can be used to implement a method for evaluating the accuracy of femoral tunnel positioning after ACL reconstruction described in the above embodiment, as described in the following embodiment. Since the principle of solving the problem of a device for evaluating the accuracy of femoral tunnel positioning after ACL reconstruction is similar to that of a method for evaluating the accuracy of femoral tunnel positioning after ACL reconstruction, the implementation of a device for evaluating the accuracy of femoral tunnel positioning after ACL reconstruction can refer to the implementation of a method for evaluating the accuracy of femoral tunnel positioning after ACL reconstruction, and the repeated parts will not be repeated. As used below, the term "unit" or "module" can be a combination of software and / or hardware that implements a predetermined function. Although the system described in the following embodiments is preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and conceived.

[0080] The present invention provides a device for evaluating the accuracy of femoral tunnel positioning after ACL reconstruction surgery. Figure 5 As shown. Figure 5 The device comprises:

[0081] Reconstruction and marking module 210: used to reconstruct a preoperative three-dimensional model of the lateral wall of the intercondylar notch based on the preoperative CT image of the patient's knee joint and mark the dense bone area;

[0082] Reconstruction and extraction module 220: used to reconstruct a three-dimensional model of the lateral wall of the intercondylar notch after surgery based on the CT image of the knee joint of the same patient after surgery and extract the femoral tunnel opening of the femoral tunnel prepared with the dense bone area as the starting point in the lateral wall of the intercondylar notch;

[0083] Calculation module 230: used to calculate the overlap rate between the femoral tunnel opening and the dense bone area;

[0084] Evaluation module 240: used to determine whether the overlap rate is higher than a preset threshold. If so, it is determined that the femoral tunnel positioning is successful; if not, it is determined that the femoral tunnel positioning is unsuccessful.

[0085] In one embodiment of the present invention, the reconstruction marking module 210 is specifically configured to:

[0086] Acquire a preoperative CT image of the patient's knee joint to obtain a preoperative CT image of the knee joint;

[0087] The preoperative CT images of the knee joint were reconstructed in three dimensions to obtain the preoperative three-dimensional model of the lateral wall of the intercondylar notch;

[0088] Based on the preoperative three-dimensional model of the lateral wall of the intercondylar fossa, the CT value threshold segmentation method was used to mark the area with higher bone density on the lateral wall of the intercondylar fossa and obtain the dense bone area.

[0089] In one embodiment of the present invention, the reconstruction and extraction module 220 is specifically configured to:

[0090] Acquire a CT image of the knee joint of the same patient after surgery to obtain a postoperative CT image of the knee joint;

[0091] The postoperative CT images of the knee joint were reconstructed in three dimensions to obtain a three-dimensional model of the lateral wall of the intercondylar notch.

[0092] Image features were extracted based on the three-dimensional model of the lateral wall of the intercondylar notch after surgery to obtain the femoral tunnel opening.

[0093] In one embodiment of the present invention, the calculation module 230 is specifically configured to:

[0094] Determine the total number of pixels in the femoral tunnel opening and compact bone area;

[0095] Determine the number of pixels in the overlapping portion of the femoral tunnel opening and the dense bone area;

[0096]

[0097] The embodiments of the present application also provide a specific implementation of an electronic device that can implement all the steps in the method in the above embodiments, see Figure 6 , the electronic device 300 specifically includes the following contents:

[0098] Processor 310, memory 320, communication unit 330 and bus 340;

[0099] The processor 310 , the memory 320 , and the communication unit 330 communicate with each other via the bus 340 ; the communication unit 330 is used to implement information transmission between server-side devices and terminal devices and other related devices.

[0100] The processor 310 is configured to call the computer program in the memory 320 . When the processor executes the computer program, all steps of the method for evaluating the positioning accuracy of the femoral tunnel after ACL reconstruction surgery in the above embodiment are implemented.

[0101] Those skilled in the art will understand that the memory may be, but is not limited to, random access memory (RAM), read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), etc. The memory is used to store programs, and the processor executes the programs after receiving execution instructions. Furthermore, the software programs and modules in the above-mentioned memory may also include an operating system, which may include various software components and / or drivers for managing system tasks (such as memory management, storage device control, power management, etc.), and may communicate with various hardware or software components to provide an operating environment for other software components.

[0102] The processor can be an integrated circuit chip with signal processing capabilities. The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc. It can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor or any conventional processor.

[0103] The present application also provides a computer-readable storage medium, which includes a program. When executed by a processor, the program is used to perform a method for evaluating the accuracy of femoral tunnel positioning after ACL reconstruction surgery provided by any of the aforementioned method embodiments.

[0104] Those skilled in the art will appreciate that all or part of the steps in implementing the above-described method embodiments may be accomplished by hardware associated with program instructions. The aforementioned program may be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks. This application does not limit the specific media type.

[0105] The above description is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A method for evaluating the accuracy of femoral tunnel positioning after ACL reconstruction, characterized in that: The method comprises: The preoperative three-dimensional model of the lateral wall of the intercondylar notch was reconstructed based on the preoperative CT images of the patient's knee joint and the dense bone area was marked; The three-dimensional model of the lateral wall of the intercondylar notch was reconstructed based on the CT images of the knee joint of the same patient after surgery, and the femoral tunnel opening in the lateral wall of the intercondylar notch was extracted. The overlap ratio between the femoral tunnel opening and the dense bone area was calculated; It is determined whether the overlap rate is higher than a preset threshold. If so, it is determined that the femoral tunnel positioning is successful; if not, it is determined that the femoral tunnel positioning fails.

2. The method for evaluating the accuracy of femoral tunnel positioning after ACL reconstruction according to claim 1, wherein: The reconstructing of a preoperative three-dimensional model of the lateral wall of the intercondylar notch based on a preoperative CT image of the patient's knee joint and marking the dense bone area includes: Acquire a preoperative CT image of the patient's knee joint to obtain a preoperative CT image of the knee joint; The preoperative CT images of the knee joint were reconstructed in three dimensions to obtain the preoperative three-dimensional model of the lateral wall of the intercondylar notch; Based on the preoperative three-dimensional model of the lateral wall of the intercondylar fossa, the CT value threshold segmentation method was used to mark the area with higher bone density on the lateral wall of the intercondylar fossa and obtain the dense bone area.

3. The method for evaluating the accuracy of femoral tunnel positioning after ACL reconstruction according to claim 2, wherein: The method of reconstructing a three-dimensional model of the lateral wall of the intercondylar notch after surgery based on a CT image of the knee joint of the same patient after surgery and extracting a femoral tunnel opening of the femoral tunnel prepared with the dense bone area as a starting point on the lateral wall of the intercondylar notch comprises: Acquire a CT image of the knee joint of the same patient after surgery to obtain a postoperative CT image of the knee joint; The postoperative CT images of the knee joint were reconstructed in three dimensions to obtain a three-dimensional model of the lateral wall of the intercondylar notch. Image features were extracted based on the three-dimensional model of the lateral wall of the intercondylar notch after surgery to obtain the femoral tunnel opening.

4. The method for evaluating the accuracy of femoral tunnel positioning after ACL reconstruction according to claim 1, wherein: Calculating the overlap rate between the femoral tunnel opening and the dense bone area includes: Determine the total number of pixels in the femoral tunnel opening and compact bone area; Determine the number of pixels in the overlapping portion of the femoral tunnel opening and the dense bone area; 5. A device for evaluating the accuracy of femoral tunnel positioning after ACL reconstruction surgery, characterized in that: The device comprises: Reconstruction and marking module: used to reconstruct the preoperative three-dimensional model of the lateral wall of the intercondylar notch based on the preoperative CT image of the patient's knee joint and mark the dense bone area; Reconstruction and extraction module: used to reconstruct the three-dimensional model of the lateral wall of the intercondylar notch after surgery based on the CT image of the knee joint of the same patient after surgery and extract the femoral tunnel opening on the lateral wall of the intercondylar notch prepared with the dense bone area as the starting point; Calculation module: used to calculate the overlap rate between the femoral tunnel opening and the dense bone area; Evaluation module: used to determine whether the overlap rate is higher than a preset threshold. If so, the femoral tunnel positioning is determined to be successful; if not, the femoral tunnel positioning is determined to be a failure.

6. The device for evaluating femoral tunnel positioning accuracy after ACL reconstruction surgery according to claim 5, wherein: The reconstruction marking module is specifically used for: Acquire a preoperative CT image of the patient's knee joint to obtain a preoperative CT image of the knee joint; The preoperative CT images of the knee joint were reconstructed in three dimensions to obtain the preoperative three-dimensional model of the lateral wall of the intercondylar notch; Based on the preoperative three-dimensional model of the lateral wall of the intercondylar fossa, the CT value threshold segmentation method was used to mark the area with higher bone density on the lateral wall of the intercondylar fossa and obtain the dense bone area.

7. The device for evaluating femoral tunnel positioning accuracy after ACL reconstruction surgery according to claim 6, wherein: The reconstruction and extraction module is specifically used for: Acquire a CT image of the knee joint of the same patient after surgery to obtain a postoperative CT image of the knee joint; The postoperative CT images of the knee joint were reconstructed in three dimensions to obtain a three-dimensional model of the lateral wall of the intercondylar notch. Image features were extracted based on the three-dimensional model of the lateral wall of the intercondylar notch after surgery to obtain the femoral tunnel opening.

8. The device for evaluating femoral tunnel positioning accuracy after ACL reconstruction surgery according to claim 5, wherein: The calculation module is specifically used for: Determine the total number of pixels in the femoral tunnel opening and compact bone area; Determine the number of pixels in the overlapping portion of the femoral tunnel opening and the dense bone area; 9. An electronic device, characterized in that: include: processor, memory, and an interface for communicating with the gateway; The memory is used to store programs and data, and the processor calls the program stored in the memory to execute the method for evaluating the positioning accuracy of the femoral tunnel after ACL reconstruction surgery according to any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a program, which, when executed by a processor, is used to perform the method for evaluating the positioning accuracy of a femoral tunnel after ACL reconstruction surgery according to any one of claims 1 to 4.

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