Method and device for measuring filling amount of centrum collapse based on QCT (Quality Computed Tomography) and storage medium

Abstract

The invention relates to a QCT-based centrum collapse filling amount measurement method and device and a storage medium, and belongs to the technical field of centrum bionics, and the method comprises the steps: determining a focus segment centrum through bone mineral density information of a to-be-measured centrum obtained by QCT; extracting a three-dimensional digital model of the focus segment centrum and a three-dimensional digital model of an adjacent centrum of the focus segment centrum; and carrying out volume matching recovery on the three-dimensional digital model of the focus segment vertebral body based on the three-dimensional digital model of the adjacent vertebral body, and determining the collapse filling amount of the vertebral body. According to the centrum collapse filling amount measuring method based on the QCT, the bone mineral density is analyzed through the QCT to assist in diagnosis of the osteoporosis range and degree, result deviation caused by a plane projection bone mineral density measuring technology can be effectively avoided, the focus interval is accurately calculated, and the accuracy of the measurement result is improved. And the precision of the quantitative bone cement expansion index is further improved by combining the fracture collapse volume.

Description

Technical Field

[0001] The present invention relates to the technical field of vertebral bionics, and in particular to a QCT-based vertebral collapse filling volume measurement method, device and storage medium. Background Art

[0002] Osteoporosis and osteoporotic fractures are common and frequently occurring diseases that endanger the sports health and quality of life of the elderly population. Osteoporotic spinal fractures, i.e., compression fractures of the thoracolumbar vertebrae in the elderly, are particularly common. Currently, the main clinical treatment for this disease is kyphoplasty, in which the ideal state is to fill with bone cement to restore the physiological height of the vertebrae. The amount of bone cement perfused during kyphoplasty is also a focus of debate among clinicians. The more evenly the perfused bone cement diffuses in the injured vertebra, the better the surgical analgesic effect. It is generally believed that 3 to 6 ml of bone cement can achieve a good analgesic effect. The thoracolumbar vertebrae require about 4 ml of bone cement, and the lower lumbar vertebrae require about 6 ml of bone cement.

[0003] If the amount of bone cement injected is too small, the bone cement may not diffuse enough in the injured vertebra and cannot approach the upper and lower end plates of the injured vertebra, which will reduce the strengthening effect of the injured vertebra and may cause the height of the injured vertebra to be lost again after surgery. If the amount of bone cement injected is too large, it may cause abnormal increase in the pressure inside the injured vertebra and increase the risk of bone cement leakage during surgery. In severe cases, it may cause paralysis of the patient. How to achieve accurate quantification is extremely challenging for the surgeon's surgical experience.

[0004] The existing method for determining the amount of bone cement filling is to determine the amount of bone cement filling through three-dimensional reconstruction simulation calculation of the patient's CT image and 3D printing to assist in determining the amount of bone cement filling. The bone density is projected by planar measurement. There is a certain deviation between the measured result and the actual result, which leads to inaccurate bone cement filling amount. Summary of the invention

[0005] In view of this, it is necessary to provide a QCT-based vertebral collapse filling volume measurement method, device and storage medium to solve the problem of low accuracy of existing bone cement filling volume measurement.

[0006] In order to solve the above problems, the present invention provides a method for measuring vertebral collapse filling volume based on QCT, comprising: The bone density information of the vertebra to be tested is obtained through QCT to determine the vertebral body at the affected segment; Extracting a three-dimensional digital model of the vertebral body of the diseased segment and a three-dimensional digital model of the vertebral body adjacent to the vertebral body of the diseased segment; Based on the three-dimensional digital model of the adjacent vertebral body, the three-dimensional digital model of the lesion segment vertebral body is volume-matched and restored to determine the vertebral body collapse filling amount.

[0007] In a possible implementation, performing volume matching restoration on the three-dimensional digital model of the lesion segment vertebra based on the three-dimensional digital model of the adjacent vertebra to determine the vertebral collapse filling amount includes: Performing volume matching restoration on the three-dimensional digital model of the lesion segment vertebra based on the three-dimensional digital model of the adjacent vertebra, and determining the difference in cortical bone volume and trabecular bone volume between the lesion segment vertebra and the adjacent vertebra; The vertebral body collapse filling amount is determined based on the cortical bone volume difference and the trabecular bone volume difference.

[0008] In a possible implementation, determining the vertebral body collapse filling amount based on the cortical bone volume difference and the trabecular bone volume difference includes: determining a filling volume based on the cortical bone volume difference and the trabecular bone volume difference; Based on the filling volume, the vertebral body collapse filling amount is determined.

[0009] In a possible implementation, extracting the three-dimensional digital model of the lesion segment vertebral body and the three-dimensional digital model of the adjacent vertebral bodies of the lesion segment vertebral body includes: The two-dimensional image of the diseased segment vertebra and the two-dimensional image of the adjacent vertebra of the diseased segment vertebra are reconstructed respectively by three-dimensional reconstruction technology to obtain a three-dimensional digital model of the diseased segment vertebra and a three-dimensional digital model of the adjacent vertebra.

[0010] In a possible implementation, after extracting the three-dimensional digital model of the lesion segment vertebral body and the three-dimensional digital model of the adjacent vertebral body of the lesion segment vertebral body, the method further includes: Optimizing the three-dimensional digital model of the lesion segment vertebra and the three-dimensional digital model of the adjacent vertebra to the lesion segment vertebra respectively; The optimization process includes at least one of the following: Smooth surfaces, fix flaws or adjust proportions.

[0011] In a possible implementation, before extracting the three-dimensional digital model of the lesion segment vertebral body and the three-dimensional digital model of the adjacent vertebral body of the lesion segment vertebral body, the method further includes: Preprocessing the two-dimensional image of the lesion segment vertebra and the two-dimensional image of the adjacent vertebra respectively; The pre-processing includes at least one of the following: Remove noise, enhance contrast, or correct distortion.

[0012] The present invention also provides a device for measuring vertebral collapse filling volume based on QCT, comprising: The first determination module is used to determine the lesion segment vertebra by using the bone density information of the vertebra to be tested obtained by QCT; An extraction module, used to extract the three-dimensional digital model of the vertebral body of the diseased segment and the three-dimensional digital model of the vertebral body adjacent to the vertebral body of the diseased segment; The second determination module is used to perform volume matching restoration on the three-dimensional digital model of the lesion segment vertebra based on the three-dimensional digital model of the adjacent vertebra to determine the vertebral collapse filling amount.

[0013] On the other hand, the present invention also provides an electronic device, including a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is used to execute the program stored in the memory to implement the QCT-based vertebral collapse filling volume measurement method described in any of the above implementations.

[0014] On the other hand, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the QCT-based vertebral collapse filling volume measurement method described in any of the above implementations is implemented.

[0015] On the other hand, the present invention further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the QCT-based vertebral collapse filling volume measurement method described in any of the above implementations.

[0016] The beneficial effects of the present invention are as follows: the QCT-based vertebral collapse filling volume measurement method, device and storage medium provided by the present invention can obtain a bone density image of the vertebra to be measured by QCT scanning, and the bone density information can be used to evaluate vertebral osteoporosis and identify the collapsed area. By analyzing the bone density image, the collapsed vertebral segment, that is, the lesion segment vertebra, can be determined, and a three-dimensional digital model of the lesion segment vertebra and its adjacent vertebrae can be constructed by using CT scanning data. The adjacent vertebrae are healthy vertebrae, and the three-dimensional model of the collapsed vertebra is matched with the three-dimensional model of the adjacent healthy vertebra. The expected volume of the collapsed vertebra in the non-collapsed state can be restored by the volume matching technology, thereby calculating the volume loss caused by the vertebral collapse, and thus obtaining the vertebral collapse filling volume of the bone graft or filler required for filling the vertebral collapse. It is proposed to use QCT to analyze bone density to assist in the diagnosis of the scope and degree of osteoporosis, which can effectively avoid the result deviation caused by the plane projection bone density measurement technology, accurately calculate the lesion interval, and further improve the accuracy of the quantitative bone cement expansion index in combination with the fracture collapse volume. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 One of the method flow charts of an embodiment of the method for measuring vertebral collapse filling volume based on QCT provided by the present invention; Figure 2 A second method flow chart of an embodiment of the method for measuring vertebral collapse filling volume based on QCT provided by the present invention; Figure 3 A schematic structural diagram of an embodiment of a device for measuring vertebral collapse filling volume based on QCT provided by the present invention; Figure 4 A schematic structural diagram of an embodiment of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0020] In the description of the embodiments of the present invention, unless otherwise specified, "multiple" means two or more than two. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" may mean: A exists alone, A and B exist at the same time, and B exists alone.

[0021] The descriptions of "first", "second", etc. involved in the embodiments of the present invention are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the technical features defined as "first" or "second" may explicitly or implicitly include at least one of the features.

[0022] Figure 1 One of the method flow charts of an embodiment of the method for measuring vertebral collapse filling volume based on QCT provided by the present invention is as follows Figure 1 As shown in the figure, the QCT-based vertebral collapse filling volume measurement method includes: S101, determining the vertebral body at the affected segment by obtaining bone density information of the vertebra to be tested through QCT; S102, extracting the three-dimensional digital model of the vertebral body of the diseased segment and the three-dimensional digital model of the vertebral body adjacent to the vertebral body of the diseased segment; S103, performing volume matching restoration on the three-dimensional digital model of the lesion segment vertebra based on the three-dimensional digital model of the adjacent vertebra, and determining the vertebral collapse filling amount.

[0023] In S101, the bone density information of the vertebra to be tested is obtained through QCT to determine the vertebral body at the diseased segment.

[0024] The vertebrae to be tested are scanned using quantitative computed tomography (QCT) technology. QCT can provide high-precision bone density information and help identify vertebral abnormalities.

[0025] The image data obtained through QCT scanning is used to analyze the bone density distribution of each vertebra. Abnormal changes in bone density (such as osteoporosis, fractures, etc.) indicate the presence of lesions.

[0026] According to the bone density analysis results, the vertebral body with abnormal changes is determined as the lesion segment vertebral body, for example, it can be a vertebral body with significantly reduced bone density or abnormal structure, and the lesion segment vertebral body can be a vertebral body segment that has collapsed.

[0027] In S102, a three-dimensional digital model of the vertebral body of the diseased segment and a three-dimensional digital model of the vertebral body adjacent to the vertebral body of the diseased segment are extracted.

[0028] Using image processing software, the two-dimensional image data obtained from QCT scanning is converted into a three-dimensional digital model, including steps such as image registration, segmentation, and surface reconstruction.

[0029] A three-dimensional digital model of the lesion segment vertebral body is extracted from the three-dimensional reconstruction result. Similarly, a three-dimensional digital model of the adjacent vertebral body of the lesion segment vertebral body is extracted, and the adjacent vertebral body is a healthy vertebral body, which can be a vertebral body above or below the lesion segment vertebral body.

[0030] In S103, volume matching and restoration are performed on the three-dimensional digital model of the vertebral body of the diseased segment based on the three-dimensional digital model of the adjacent vertebral body to determine the vertebral body collapse filling amount.

[0031] The three-dimensional digital model of the affected segment vertebra is compared with the three-dimensional digital model of its adjacent vertebra. By calculating the average shape and size of the adjacent vertebrae, the volume of the affected segment vertebra is restored, that is, its shape in a non-collapsed state is simulated.

[0032] The difference between the restored vertebral morphology and the vertebral morphology of the original lesion segment was compared, and the volume of the collapsed part of the vertebral body was calculated, which is the vertebral collapse filling amount.

[0033] Compared with the prior art, the QCT-based vertebral collapse filling volume measurement method provided in the embodiment of the present invention can obtain the bone density image of the vertebra to be measured by QCT scanning, and the bone density information can be used to evaluate vertebral osteoporosis and identify the collapsed area. By analyzing the bone density image, the collapsed vertebral segment, that is, the lesion segment vertebra, can be determined, and the CT scanning data is used to construct a three-dimensional digital model of the lesion segment vertebra and its adjacent vertebrae. The adjacent vertebrae are healthy vertebrae. The three-dimensional model of the collapsed vertebrae is matched with the three-dimensional model of the adjacent healthy vertebrae. The expected volume of the collapsed vertebra in the non-collapsed state can be restored by the volume matching technology, so as to calculate the volume loss caused by the vertebral collapse, so as to obtain the vertebral collapse filling volume of the bone graft or filler required for filling the vertebral collapse. It is proposed to use QCT to analyze bone density to assist in the diagnosis of the scope and degree of osteoporosis, which can effectively avoid the result deviation caused by the plane projection bone density measurement technology. Through accurate three-dimensional digital model reconstruction and volume matching recovery technology, the filling volume required for vertebral collapse can be accurately calculated, providing strong support for clinical diagnosis and treatment.

[0034] In some embodiments of the present invention, the volume matching and restoration of the three-dimensional digital model of the lesion segment vertebra based on the three-dimensional digital model of the adjacent vertebra to determine the vertebral collapse filling amount includes: Performing volume matching restoration on the three-dimensional digital model of the lesion segment vertebra based on the three-dimensional digital model of the adjacent vertebra, and determining the difference in cortical bone volume and trabecular bone volume between the lesion segment vertebra and the adjacent vertebra; The vertebral body collapse filling amount is determined based on the cortical bone volume difference and the trabecular bone volume difference.

[0035] In some embodiments of the present invention, determining the vertebral collapse filling amount based on the cortical bone volume difference and the trabecular bone volume difference includes: determining a filling volume based on the cortical bone volume difference and the trabecular bone volume difference; Based on the filling volume, the vertebral body collapse filling amount is determined.

[0036] The 3D digital model of the adjacent vertebrae was used as a reference to restore the volume matching of the 3D digital model of the lesion segment vertebrae, and the adjacent vertebrae were healthy vertebrae. The morphology of the lesion segment vertebrae was restored to a non-collapsed or healthy state as much as possible for comparison with the adjacent vertebrae.

[0037] After volume matching was restored, the volume differences between the lesion segment vertebra and the adjacent vertebra were analyzed. The volume differences were mainly reflected in two aspects: cortical bone volume difference and trabecular bone volume difference.

[0038] The cortical bone volume difference refers to the volume difference between the cortical bone part of the lesion segment vertebra and the corresponding part of the adjacent vertebra. The cortical bone is the hard bone tissue in the outer layer of the vertebral body, and the change in its volume directly reflects the change in vertebral morphology.

[0039] Trabecular volume difference refers to the volume difference between the trabecular part of the vertebral body at the affected segment and the corresponding part of the adjacent vertebral body. Trabecular bone is the mesh-like bone tissue inside the vertebral body, which is essential for maintaining the stability and load-bearing capacity of the vertebral body.

[0040] Based on the difference in cortical bone volume and trabecular bone volume, the volume to be filled can be calculated. The filling volume represents the total amount of material or tissue required to restore the morphology and function of the affected segmental vertebra to a near normal level.

[0041] The amount of vertebral collapse filling is determined based on the filling volume. The amount of vertebral collapse filling refers to the amount of bone cement, bone filler or other biomaterials that need to be injected or implanted into the vertebral body of the diseased segment in order to restore the vertebral height and stability during actual surgery. The amount of vertebral collapse filling is matched with the filling volume to ensure the best surgical effect.

[0042] The QCT-based vertebral collapse filling volume measurement method provided in an embodiment of the present invention extracts three-dimensional digital models of the diseased segment vertebra and its adjacent vertebrae, and uses these models to perform volume matching recovery to determine the filling volume of the vertebral collapse. It not only takes into account the volume differences of the cortical bone, but also takes into account the volume differences of the trabecular bone, thereby providing a comprehensive and accurate evaluation and being able to provide precise and reliable data support for clinical practice.

[0043] In some embodiments of the present invention, extracting the three-dimensional digital model of the lesion segment vertebral body and the three-dimensional digital model of the adjacent vertebral body of the lesion segment vertebral body includes: The two-dimensional image of the diseased segment vertebra and the two-dimensional image of the adjacent vertebra of the diseased segment vertebra are reconstructed respectively by three-dimensional reconstruction technology to obtain a three-dimensional digital model of the diseased segment vertebra and a three-dimensional digital model of the adjacent vertebra.

[0044] In some embodiments of the present invention, after extracting the three-dimensional digital model of the lesion segment vertebral body and the three-dimensional digital model of the adjacent vertebral body of the lesion segment vertebral body, the method further includes: Optimizing the three-dimensional digital model of the lesion segment vertebra and the three-dimensional digital model of the adjacent vertebra to the lesion segment vertebra respectively; The optimization process includes at least one of the following: Smooth surfaces, fix flaws or adjust proportions.

[0045] In some embodiments of the present invention, before extracting the three-dimensional digital model of the lesion segment vertebral body and the three-dimensional digital model of the adjacent vertebral body of the lesion segment vertebral body, the method further includes: Preprocessing the two-dimensional image of the lesion segment vertebra and the two-dimensional image of the adjacent vertebra respectively; The pre-processing includes at least one of the following: Remove noise, enhance contrast, or correct distortion.

[0046] Before extracting the three-dimensional digital model, the two-dimensional images of the lesion segment vertebra and the two-dimensional images of the adjacent vertebra are first preprocessed. The preprocessing can significantly improve the quality and accuracy of subsequent three-dimensional reconstruction.

[0047] Preprocessing can include: Denoising: Removing or reducing noise from an image helps preserve important structural information while reducing unnecessary interference.

[0048] Enhance contrast: Adjust the contrast of the image to make the lesions, vertebral bodies and their boundaries clearer, which is very helpful for the subsequent segmentation and reconstruction process.

[0049] Correcting distortion: Due to the imaging device or patient position, the original image may have certain geometric distortion. By correcting the distortion, the true shape and proportion of the image can be restored.

[0050] The preprocessed two-dimensional images will be used for three-dimensional reconstruction. Professional three-dimensional reconstruction software can be used to convert the two-dimensional slice data into a continuous three-dimensional model through an algorithm, and reconstruct the three-dimensional digital model of the diseased segment vertebra and its adjacent vertebrae.

[0051] The reconstructed 3D digital model may have some defects or deficiencies, such as uneven surface, loss of details or disproportionate proportions. Therefore, the extracted 3D digital model needs to be optimized to improve its quality and usability.

[0052] Optimization can include: Smooth surface: The model surface is smoothed by an algorithm to remove tiny bumps or depressions caused by errors in the reconstruction process.

[0053] Repair defects: For obvious defects in the model (such as holes, breaks, etc.), use repair algorithms to fill or connect them.

[0054] Adjust scale: Make sure the proportions of the model are consistent with the real anatomy.

[0055] The QCT-based vertebral collapse filling volume measurement method provided in an embodiment of the present invention can obtain a high-quality three-dimensional digital model by preprocessing the two-dimensional images of the diseased segment vertebra and the two-dimensional images of the adjacent vertebrae, and optimizing the three-dimensional digital model of the diseased segment vertebra and the three-dimensional digital model of the adjacent vertebrae of the diseased segment vertebra, respectively, to provide more accurate measurement results.

[0056] Figure 2 The second method flow chart of an embodiment of the method for measuring vertebral collapse filling volume based on QCT provided by the present invention is as follows: Figure 2 As shown in the figure, the QCT-based vertebral collapse filling volume measurement method includes: S201, QCT diagnosis.

[0057] Determine the scope of the lesion and the change in bone density, and select cement to fill the affected area.

[0058] S202. Three-dimensional reconstruction of lesions and adjacent tissues.

[0059] The medical images are reconstructed by computer and the three-dimensional digital models of the lesion segment vertebra and adjacent vertebra are extracted respectively.

[0060] S203: Volume matching is restored.

[0061] The local morphology matching fusion method is used to restore the shape of the diseased vertebra with the help of adjacent vertebral body shape reference simulation to achieve the expected surgical effect.

[0062] S204. Calculate the missing volume of the diseased vertebra.

[0063] With reference to the QCT diagnostic area, the difference in cortical bone volume and the difference in trabecular bone volume in the QCT selected area were calculated to obtain the filling volume.

[0064] S205, MR-assisted positioning surgery.

[0065] With the help of MR mixed reality technology, the lesion area can be accurately located during surgery, and the cavity filling volume can be displayed in real time.

[0066] Mixed Reality (MR) introduces real scene information into the virtual environment, building an interactive feedback information loop between the virtual world, the real world and the user to enhance the realism of the user experience. MR technology can better handle the spatial relationship between virtual digital content and the real physical world, allowing doctors to see the virtual lesion model and the real anatomical structure at the same time during surgery, thereby achieving precise positioning and operation.

[0067] MR technology can display the three-dimensional model of the lesion in real time during surgery, helping doctors accurately determine the location, size and shape of the lesion, and avoiding positioning errors caused by limited field of view or complex anatomical structure in traditional surgery.

[0068] The QCT-based vertebral collapse filling volume measurement provided by the embodiment of the present invention uses QCT to analyze bone density to assist in the diagnosis of the scope and degree of osteoporosis, which can effectively avoid the result deviation caused by the plane projection bone density measurement technology, accurately calculate the lesion interval, and further improve the accuracy of the quantitative bone cement expansion index in combination with the fracture collapse volume. At the same time, the three-dimensional reconstruction data of the diseased vertebra is used based on MR technology to assist in intraoperative positioning and accurately locate the bone cement perfusion incision.

[0069] In order to better implement the vertebral collapse filling volume measurement method based on QCT in the embodiment of the present invention, on the basis of the vertebral collapse filling volume measurement method based on QCT, the embodiment of the present invention further provides a vertebral collapse filling volume measurement device based on QCT. Figure 3 FIG. 1 is a schematic structural diagram of an embodiment of a device for measuring vertebral collapse filling volume based on QCT provided by the present invention, as shown in FIG. Figure 3 As shown, the QCT-based vertebral collapse filling volume measuring device 300 includes: The first determination module 310 is used to determine the lesion segment vertebra by using the bone density information of the vertebra to be tested obtained by QCT; An extraction module 320 is used to extract the three-dimensional digital model of the vertebral body of the diseased segment and the three-dimensional digital model of the vertebral body adjacent to the vertebral body of the diseased segment; The second determination module 330 is used to perform volume matching restoration on the three-dimensional digital model of the lesion segment vertebra based on the three-dimensional digital model of the adjacent vertebra to determine the vertebral collapse filling amount.

[0070] The QCT-based vertebral collapse filling volume measuring device 300 provided in the above embodiment can implement the technical solution described in the above QCT-based vertebral collapse filling volume measuring method embodiment. The specific implementation principles of the above modules or units can refer to the corresponding contents in the QCT-based vertebral collapse filling volume measuring method embodiment, which will not be repeated here.

[0071] like Figure 4 As shown, the present invention also provides an electronic device 400. The electronic device 400 includes a processor 401, a memory 402 and a display 403. Figure 4 Only some components of the electronic device 400 are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0072] In some embodiments, the processor 401 may be a central processing unit (CPU), a microprocessor or other data processing chip, which is used to run the program code or process data stored in the memory 402, such as the QCT-based vertebral collapse filling volume measurement method of the present invention.

[0073] In some embodiments, processor 401 may be a single server or a server group. The server group may be centralized or distributed. In some embodiments, processor 401 may be local or remote. In some embodiments, processor 401 may be implemented in a cloud platform. In some embodiments, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, a multi-cloud, etc., or any combination thereof.

[0074] In some embodiments, the memory 402 may be an internal storage unit of the electronic device 400, such as a hard disk or memory of the electronic device 400. In other embodiments, the memory 402 may also be an external storage device of the electronic device 400, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., equipped on the electronic device 400.

[0075] Furthermore, the memory 402 may include both an internal storage unit of the electronic device 400 and an external storage device. The memory 402 is used to store application software installed in the electronic device 400 and various data.

[0076] In some embodiments, the display 403 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an organic light-emitting diode (OLED) touch device, etc. The display 403 is used to display information on the electronic device 400 and to display a visual user interface. The components 401-403 of the electronic device 400 communicate with each other via a system bus.

[0077] In one embodiment, when the processor 401 executes the QCT-based vertebral collapse filling volume measurement program in the memory 402, the following steps may be implemented: The bone density information of the vertebra to be tested is obtained through QCT to determine the vertebral body at the affected segment; Extracting a three-dimensional digital model of the vertebral body of the diseased segment and a three-dimensional digital model of the vertebral body adjacent to the vertebral body of the diseased segment; Based on the three-dimensional digital model of the adjacent vertebral body, the three-dimensional digital model of the lesion segment vertebral body is volume-matched and restored to determine the vertebral body collapse filling amount.

[0078] It should be understood that: when the processor 401 executes the QCT-based vertebral collapse filling volume measurement program in the memory 402, in addition to the above functions, other functions can also be implemented. For details, please refer to the description of the corresponding method embodiment above.

[0079] Furthermore, the embodiment of the present invention does not specifically limit the type of the electronic device 400 mentioned, and the electronic device 400 may be a portable electronic device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, etc. Exemplary embodiments of portable electronic devices include but are not limited to portable electronic devices equipped with IOS, Android, Microsoft or other operating systems. The above-mentioned portable electronic device may also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of the present invention, the electronic device 400 may not be a portable electronic device, but a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0080] Accordingly, an embodiment of the present invention also provides a computer-readable storage medium, which is used to store computer-readable programs or instructions. When the program or instructions are executed by a processor, it can implement the steps or functions of the QCT-based vertebral collapse filling volume measurement method provided in the above-mentioned method embodiments.

[0081] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the steps or functions of the QCT-based vertebral collapse filling volume measurement method provided in the above-mentioned method embodiments.

[0082] Those skilled in the art will appreciate that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the computer program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0083] The QCT-based vertebral collapse filling volume measurement method, device and storage medium provided by the present invention are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for measuring vertebral collapse filling volume based on QCT, characterized in that: include: The bone density information of the vertebra to be tested is obtained through QCT to determine the vertebral body at the affected segment; Extracting a three-dimensional digital model of the vertebral body of the diseased segment and a three-dimensional digital model of the vertebral body adjacent to the vertebral body of the diseased segment; Based on the three-dimensional digital model of the adjacent vertebral body, the three-dimensional digital model of the lesion segment vertebral body is volume-matched and restored to determine the vertebral body collapse filling amount.

2. The method for measuring vertebral collapse filling volume based on QCT according to claim 1, characterized in that: The method of performing volume matching restoration on the three-dimensional digital model of the lesion segment vertebra based on the three-dimensional digital model of the adjacent vertebra to determine the vertebral collapse filling amount includes: Performing volume matching restoration on the three-dimensional digital model of the lesion segment vertebra based on the three-dimensional digital model of the adjacent vertebra, and determining the difference in cortical bone volume and trabecular bone volume between the lesion segment vertebra and the adjacent vertebra; The vertebral body collapse filling amount is determined based on the cortical bone volume difference and the trabecular bone volume difference.

3. The method for measuring vertebral collapse filling volume based on QCT according to claim 2, characterized in that: The step of determining the vertebral body collapse filling amount based on the cortical bone volume difference and the trabecular bone volume difference comprises: determining a filling volume based on the cortical bone volume difference and the trabecular bone volume difference; Based on the filling volume, the vertebral body collapse filling amount is determined.

4. The method for measuring vertebral collapse filling volume based on QCT according to claim 1, characterized in that: The extracting of the three-dimensional digital model of the lesion segment vertebral body and the three-dimensional digital model of the adjacent vertebral bodies of the lesion segment vertebral body comprises: The two-dimensional image of the diseased segment vertebra and the two-dimensional image of the adjacent vertebra of the diseased segment vertebra are reconstructed respectively by three-dimensional reconstruction technology to obtain a three-dimensional digital model of the diseased segment vertebra and a three-dimensional digital model of the adjacent vertebra.

5. The method for measuring vertebral collapse filling volume based on QCT according to claim 4, characterized in that: After extracting the three-dimensional digital model of the lesion segment vertebral body and the three-dimensional digital model of the adjacent vertebral body of the lesion segment vertebral body, the method further includes: Optimizing the three-dimensional digital model of the lesion segment vertebra and the three-dimensional digital model of the adjacent vertebra to the lesion segment vertebra respectively; The optimization process includes at least one of the following: Smooth surfaces, fix flaws or adjust proportions.

6. The method for measuring vertebral collapse filling volume based on QCT according to claim 4, characterized in that: Before extracting the three-dimensional digital model of the lesion segment vertebral body and the three-dimensional digital model of the adjacent vertebral body of the lesion segment vertebral body, the method further includes: Preprocessing the two-dimensional image of the lesion segment vertebra and the two-dimensional image of the adjacent vertebra respectively; The pre-processing includes at least one of the following: Remove noise, enhance contrast, or correct distortion.

7. A device for measuring vertebral collapse filling volume based on QCT, characterized in that: include: The first determination module is used to determine the lesion segment vertebra by using the bone density information of the vertebra to be tested obtained by QCT; An extraction module, used to extract the three-dimensional digital model of the vertebral body of the diseased segment and the three-dimensional digital model of the vertebral body adjacent to the vertebral body of the diseased segment; The second determination module is used to perform volume matching restoration on the three-dimensional digital model of the lesion segment vertebra based on the three-dimensional digital model of the adjacent vertebra to determine the vertebral collapse filling amount.

8. An electronic device, characterized in that: comprising a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is used to execute the program stored in the memory to implement the QCT-based vertebral collapse filling volume measurement method as described in any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the QCT-based vertebral collapse filling volume measurement method as described in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the QCT-based vertebral collapse filling volume measurement method as described in any one of claims 1 to 6 is implemented.

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