TWI788065B - Bone cutting and repairing-aided sysyem, method and computer program product thereof - Google Patents

Abstract

A bone cutting and repairing-aided system is provided. The bone cutting-aided system includes: a lesion range formation module, a cutting guide generating module and a repairing mould generation module. The lesion range formation module forms a lesion range on a 3D image according a HU value of each area on the 3D image. The cutting guide generating module extends the lesion range to determine an inner diameter and an outer diameter of a cutting guide. Wherein, the cutting guide generating module further maps an inner surface of the cutting guide on the 3D image according to the inner diameter and the outer diameter of the cutting guide, and extends a thickness from the inner surface of the cutting guide, so as to generate a model of the cutting guide. The repairing mould generation module maps an outer surface of a repairing mould with the same curvature as a bone cutting part on the 3D image according to the lesion range and the inner diameter of the cutting guide., and extends a thickness from the outer surface of the repairing mould for forming a three dimensional object, so as to generate a model of the repairing mould.

Description

Bone cutting and repair assisting system, method and computer program product

The present invention is related to computer-aided technology, especially the computer-aided technology related to bone cutting and repair.

Most of the current bone cutting and repair operations rely on the experience of the surgeon who performs the surgery. The doctor resects the patient's affected part according to his own visual judgment, and then performs bone repair after the resection is completed. However, the results of bone cutting and repair will vary with different surgeons, and it is difficult to maintain the accuracy of the operation. In addition, the bone repair block is also shaped by the doctor by hand, and it is difficult to completely match the cut site, which may cause inconvenience to the patient.

In view of this, the present invention provides a bone cutting and repairing auxiliary system, method and computer program product to solve the above problems.

One object of the present invention is to provide an auxiliary system for bone cutting and repairing. The bone cutting and repairing auxiliary system includes: a lesion range obtaining module and a guide plate generating module. The lesion range obtaining module is used to obtain a lesion range on a three-dimensional image according to the medically relevant values of each area on a three-dimensional image. perimeter; the guide plate generation module is used to expand the range of the lesion to the periphery, so as to obtain an inner edge of the guide plate and an outer edge of the guide plate. Among them, the guide plate generation module is further used to map an inner surface of the guide plate on the three-dimensional image according to the inner edge of the guide plate and the outer edge of the guide plate, and extend a thickness of the guide plate from the inner surface of the guide plate , to generate a guide plate template.

In some embodiments, the bone cutting and repair assisting system further includes a filling template generating module. The filler template generation module is used to obtain a filler outer surface on the three-dimensional image according to the inner edge of the guide plate, and extend a filler thickness from the filler outer surface to generate a filler template.

Moreover, in some embodiments, the guide plate generation module expands the lesion area outward according to a first preset value to obtain the inner edge of the guide plate, wherein the first preset value is between 0.5 and 10 microns between.

Furthermore, in some embodiments, the guide plate generation module expands the inner edge of the guide plate outwards according to a second preset value to obtain the outer edge of the guide plate, wherein the second preset value is between 1 and between 5 microns.

Moreover, in some embodiments, the bone cutting and repairing assisting system further includes an edge optimization module for performing an edge smoothing operation on the inner edge of the guide plate to optimize the inner edge of the guide plate.

Another object of the present invention is to provide a method for assisting bone cutting and repair, which is performed by a bone cutting and repair assisting system. The method comprises the steps of: obtaining a lesion range on the three-dimensional image according to the medically relevant values of each area on the three-dimensional image; expanding the lesion range to the periphery to obtain an inner edge of a guide plate and an outer edge of a guide plate; and According to the inner edge of the guide plate and the outer edge of the guide plate, an inner surface of the guide plate is mapped on the three-dimensional image, and a thickness of the guide plate is extended from the inner surface of the guide plate to generate a template of the guide plate.

In some embodiments, the bone cutting and repairing auxiliary method further includes the steps of: obtaining an outer surface of the filling on the three-dimensional image according to the inner edge of the guide plate, and extending a thickness of the filling from the outer surface of the filling to generate a filling object template.

Moreover, in some embodiments, the inner edge of the guide plate is obtained by expanding the range of the lesion outward according to a first preset value, wherein the first preset value is between 0.5 and 10 microns; the outer edge of the guide plate It is obtained by expanding the range of the lesion outward according to a second preset value, wherein the second preset value is between 1 and 5 microns.

Moreover, in some embodiments, the bone cutting and repairing auxiliary method further includes a step of: performing an edge smoothing operation on the inner edge of the guide plate to optimize the inner edge of the guide plate.

Yet another object of the present invention is to provide a computer program product stored in a non-transitory computer readable medium for enabling a bone cutting and repairing assisting system to execute a specific program. The computer program product includes: an instruction to make the bone cutting and repairing auxiliary system obtain a lesion range on the three-dimensional image according to the medically relevant values of each area on the three-dimensional image; an instruction to make the bone cutting and repairing auxiliary system expand the lesion range to the periphery , to obtain an inner edge of the guide plate and an outer edge of the guide plate; an instruction to make the bone cutting and repair auxiliary system map an inner surface of the guide plate on the three-dimensional image according to the inner edge of the guide plate and the outer edge of the guide plate , and a guide plate thickness is extended from the inner surface of the guide plate to generate a guide plate template.

1: Bone cutting and repairing auxiliary system

2: Processing device

3: Medical image acquisition device

4: 3D image reconstruction module

5: Lesion range acquisition module

6: Guide plate generation module

7: Edge optimization module

8: Filling generation module

9:Mold making machine

10: Guide plate template

11: Filler template

20: Microprocessor

21:Computer program products

100: guide plate

110: filler

F1: 3D image

C1: the extent of the lesion

r1: inner edge of guide plate

r2: Outer edge of guide plate

s1: Inner surface of guide plate

t1: guide plate thickness

s2: The outer surface of the filling

t2: Filling thickness

Fig. 1 is a system architecture diagram of a bone cutting and repairing auxiliary system according to an embodiment of the present invention; Fig. 2 is a schematic diagram of a guide plate according to an embodiment of the present invention; Fig. 3 is a schematic diagram of a filler according to an embodiment of the present invention; Fig. 4 It is a flow chart of the steps of the bone cutting and repairing auxiliary method according to an embodiment of the present invention.

FIG. 5 is a schematic diagram corresponding to steps S12 to S17 of the embodiment in FIG. 4 .

FIG. 6 is a schematic diagram corresponding to steps S21 to S23 of the embodiment in FIG. 4 .

The implementation of the present invention is described below through specific examples. The present invention can also be implemented or applied through other different specific embodiments, and various modifications and changes can be made to the details in this specification for different viewpoints and applications without departing from the spirit of the present invention.

Furthermore, the ordinal numbers used in the description and claims, such as "first", "second", etc., are used to modify the elements of the claims, which do not imply and represent that the claimed elements have any previous ordinal numbers, Nor does it represent the order of a requested element with another claimed element, or the order of the manufacturing method, and the use of these ordinal numbers is only used to enable a claimed element with a certain designation to be able to be used with another claimed element with the same designation. Make a clear distinction.

In this article, the descriptions of "when..." or "...when" mean "now, before or after" and other aspects, and are not limited to situations that occur at the same time, which is described first here. In addition, when multiple functions are described herein, if the word "or" is used between the functions, it means that the functions can exist independently, but it does not exclude that multiple functions can exist at the same time. Furthermore, when the present invention states that a component performs a special operation, it means that the component can not only perform the special operation, but also perform other operations.

Please refer to Figure 1 to Figure 3 at the same time. FIG. 1 is a system architecture diagram of a bone cutting and repair assisting system 1 according to an embodiment of the present invention, FIG. 2 is a schematic diagram of a guide plate 100 according to an embodiment of the disclosure, and FIG. 3 is a schematic diagram of a filler 110 according to an embodiment of the disclosure. schematic diagram.

As shown in FIG. 1 , the bone cutting and repair assisting system 1 may include a processing device 2 and a medical image obtaining device 3 . The processing device 2 may include a three-dimensional image reconstruction module 4 , a lesion range acquisition module 5 and a guide plate generation module 6 . In addition, in some embodiments, the processing device 2 may further include an edge optimization module 7 and a filler generation module 8 . In addition, in some embodiments, the bone cutting and repair assisting system 1 may further include a mold making machine 9 , and is not limited thereto.

As shown in FIGS. 1 to 3 , the medical image acquisition device 3 can be used to acquire a plurality of medical images. The 3D image reconstruction unit 4 can be used to reconstruct the medical images into a 3D image (please also refer to the 3D image F1 in FIG. 5 ). The lesion area acquisition module 5 can be used to acquire a lesion area on the 3D image (please also refer to the lesion area C1 in FIG. 5 ). The guide plate generation module 6 can be used to generate a guide plate template 10 according to the scope of the lesion. The filling generation module 8 can generate a filling template 11 according to the scope of the lesion. The mold manufacturing machine 9 can manufacture an actual guide plate 100 according to the guide plate template 10 . In addition, the bone cutting and repairing auxiliary system 1 can also be used to generate a filling template 11 , and the mold making machine 9 can manufacture an actual filling 110 according to the filling template 11 .

Also as shown in Figure 2, the guide plate 100 can be, for example, a ring-shaped three-dimensional structure, which has a guide plate inner edge r1 and a guide plate outer edge r2, and the guide plate inner edge r1 and the guide plate outer edge r1 There may be an inner surface s1 of a guide plate between the edges r2. In addition, the guide plate 100 can correspond to the shape of the part of the bone to be resected, so the user (such as a doctor) can place the guide plate 100 at the part to be resected, so as to perform positioning. In addition, the inner edge r1 of the guide plate 100 can correspond to the area to be resected, so after the guide plate 100 is placed, the doctor can cut the area to be resected along the inner edge r1 of the guide plate. In this way, the resection process no longer depends on the doctor's eyesight, and the accuracy of the cut can be improved.

In some embodiments, the material of the guide plate 100 may be, for example, a medical grade material, for example, it must be kept in a sterile state, it can be used for medical operations, or it can be implanted in the human body. In some embodiments, the material of the guide plate 100 has biocompatibility, such as the material conforming to the biocompatibility specification ISO 10993 of the medical device regulations, but not limited thereto. In some embodiments, the material of the guide plate 100 is nonbiodegradable, such as polymethyl methacrylate, polyethylene, silicone, polyester, cobalt alloy, titanium alloy. , nylon, polystyrene, polypropylene, vinyl resin, acrylonitrile-butadiene-styrene copolymer, carbon, or any combination thereof, without limitation here. In other embodiments, the material of the guide plate 100 may also be biodegradable.

As shown in FIG. 2 and FIG. 3 , the filler 110 is a three-dimensional structure and has an outer surface s2 of the filler (marked in FIG. 6 ). The filler 110 can correspond to the shape and size of the inner edge r1 of the guide plate 100, so the filler 110 can be put into the inner edge r1 of the guide plate, and the periphery of the filler 110 will be compatible with the inner edge r1 of the guide plate. Edge r1 coincides, but is not limited to this. Therefore, after the cutting operation is completed, the doctor can put the filler 110 into the resected part of the bone. In one embodiment, the outer surface s2 of the filling has a curvature consistent with the surface of the defective skull. In this way, the shape of the filling 110 is generated corresponding to the shape of the resection site, which can solve the problem that the current surgical filling block cannot match the resection site.

In some embodiments, the material of the filler 110 can be the same as that of the guide plate 100 , but it should be noted that the material of the filler 110 must be biodegradable.

In one embodiment, through the operation of the guide plate generating module 6 and the filler generating module 8 , the patients' cutting and repairing operations can be performed consecutively, that is, cutting and repairing can be completed in the same operation. Under the current existing technology, the filling operation must be performed several months after the cutting operation is completed, so the present invention can greatly improve and reduce the time cost.

Next, the details of each element in the bone cutting and repair assisting system 1 will be explained, please refer to FIG. 1 again.

In some embodiments, the processing device 2 may be, for example, various electronic devices having a microprocessor 20 , such as a desktop computer, a notebook computer, a smart mobile device, a server or a cloud host, etc., and is not limited thereto. In some embodiments, the processing device 2 can have a network communication function to transmit data through the network, wherein the network communication can be a wired network or a wireless network, so the processing device 2 can also obtain data through the network. information, but not limited to. In some embodiments, each function in the processing device 2 The function module can be implemented by the microprocessor 20 executing at least one computer program product 21, for example, the computer program product 21 can have a plurality of instructions, and these instructions can make the microprocessor 20 perform special operations, and then make the microprocessor 20 executable The functions of the 3D image reconstruction module 4 , the lesion range acquisition module 5 , the guide plate generation module 6 , the edge optimization module 7 or the filler generation module 8 are not limited thereto. In some embodiments, the computer program product 21 may be stored in a non-transitory computer-readable medium, such as a memory or storage (not shown) of the processing device 2 , but is not limited thereto. In addition, the computer program product 21 is not limited to a program executed on a computer, as long as it is a program that can be used by an electronic device, such as a program (application, APP) on a smart phone, it is an aspect of the present invention.

In some embodiments, the medical image obtaining device 3 may be, for example, various medical scanning equipments for obtaining medical images from patients. Medical images can be various medical-related images, and include a plurality of pixels, such as positron emission tomography (PET images), computer tomography (computed tomography, CT images), single photon computer tomography (single photon tomography) images. emission tomography, SPECT image), ultrasound image and magnetic resonance imaging image, etc., but not limited thereto. Medical images can be two-dimensional images or three-dimensional images. In the case of three-dimensional images, pixels are defined as voxels, and each pixel corresponds to a medically relevant value, such as the standardized uptake value (SUV) in PET images. value or a Hounsfield unit (HU) value in a CT image, etc., but not limited thereto. For the convenience of description, the medical image acquiring device 3 is a computerized tomography device, the medical images are CT images, and the medical related values are HU values for example.

In some embodiments, the three-dimensional image reconstruction module 4, the lesion range acquisition module 5, the guide plate generation module 6, the edge optimization module 7, and the filler generation module 8 can be loaded into a computer, such as a microprocessor 20 The function module generated after the program product 21. In some embodiments, the three-dimensional image reconstruction module 4, disease The range acquisition module 5 , the guide plate generation module 6 , the edge optimization module 7 and the filler generation module 8 may be multiple subroutines of the computer program product 21 , and are not limited thereto. In some embodiments, the 3D image reconstruction module 4 , the lesion range acquisition module 5 , the guide plate generation module 6 , the edge optimization module 7 and the filler generation module 8 .

In some embodiments, the mold manufacturing machine 9 may be, for example, a 3D printing machine, and the guide plate template 10 and the filler template 11 may be drawings or files suitable for the 3D printing machine, such as but not limited to STL file, and can have various printing parameters, but not limited thereto. In addition, in other embodiments, the mold manufacturing machine 9 may also be other types of mold opening equipment.

In this way, the structure of the bone cutting and repair assisting system 1 can be understood.

Next, the operation process of the bone cutting and repair assisting system 1 automatically generating the guide plate module 10 will be described. FIG. 4 is a flow chart of the steps of an auxiliary method for bone cutting and repair according to an embodiment of the present invention, and FIG. 5 is a schematic diagram corresponding to steps S12 to S17 in the embodiment of FIG. 4 , and please refer to FIGS. 1 to 3 at the same time. Wherein, the bone cutting and repairing auxiliary method is implemented through the bone cutting and repairing auxiliary system 1 .

As shown in FIG. 4 and FIG. 5 , first step S11 is executed, and the medical image acquisition device 3 acquires a plurality of medical images of the parts to be treated of the patient. Then step S12 is executed, the 3D image reconstruction module 4 reconstructs the medical images to form a 3D image F1. Then step S13 is executed, and the lesion range obtaining module 5 obtains a lesion range C1 on the 3D image F1 according to the HU values of each region in the 3D image F1. Then step S14 is executed, and the guide plate generation module 6 expands the lesion range C1 outward according to a first preset value, so as to obtain the inner edge r1 of the guide plate. Then step S15 is executed, and the guide plate generation module 6 expands the inner edge r1 of the guide plate outward according to a second preset value, so as to obtain the outer edge r2 of the guide plate. Then step S16 is executed, and the guide plate generating module 6 maps the inner surface s1 of the guide plate on the three-dimensional image F1 according to the inner edge r1 of the guide plate and the outer edge r2 of the guide plate. Then step S17 is executed, and the guide plate generating module 6 will guide the inner surface s1 of the guide plate Three-dimensionally, a guide plate thickness t1 is extended from the inner surface s1 of the guide plate (thickness t1 of the guide plate is indicated in FIG. 2 ) to generate the guide plate template 10 . Then step S18 is executed, and the mold manufacturing machine 9 manufactures the actual guide plate 100 according to the guide plate template 10 . In this way, the guide plate 100 for auxiliary cutting can be automatically generated, which can improve the accuracy of medical operations.

Regarding step S11, in some embodiments, the medical image may be, for example, multiple CT images with different angles, and each pixel on the CT image has a corresponding HU value. In some embodiments, the medical image acquisition device 3 can transmit the medical image to the processing device 2 , and the transmission between the two can be through wired transmission or wireless transmission, and is not limited thereto.

Regarding step S12, in some embodiments, the 3D image reconstruction module 4 can use various feasible image processing techniques to reconstruct the 3D image F1 of the patient's part to be treated by using the CT image. As shown in FIG. 5 , the 3D image F1 is taken as an example of a skull. The present invention is not limited thereto.

Regarding step S13, since each medium of the human body has a corresponding HU value, and the HU value corresponding to the lesion is usually different from other parts, so in some embodiments, the lesion range acquisition module 5 can be found on the three-dimensional image F1 Pixels with outlier HU values are extracted, and the area of these pixels is defined as a lesion, thereby obtaining the lesion range C1. The present invention is not limited thereto.

Regarding step S14, the guide plate generation module 6 can expand the lesion range C1, and set the expanded range as the inner edge r1 of the guide plate, where the inner edge r1 of the guide plate can be regarded as the edge of the cutting range; in other words, the guide plate The inner edge r1 of the plate is the enlarged range of the lesion range C1 according to a specific ratio, so the two have similar contour shapes. The reason for expanding the range of lesions C1 is that since some lesions may be tumors, expanding the cutting range can reduce the probability of residual cancer cells. In some embodiments, the first preset value can be between 0.5 and 10 microns (millimeter, mm) (0.5mm≦the first preset value≦10mm), that is, the inner edge r1 of the guide plate is the lesion range C1 Expand laterally by 0.5 to 10mm. In some embodiments, the first preset value may be between Between 0.5 and 7.5 mm (0.5 mm≦the first preset value≦7.5 mm), that is, the inner edge r1 of the guide plate extends 0.5 to 7.5 mm outward from the lesion range C1. In some embodiments, the first preset value can be between 1 to 5 mm (1 mm≦first preset value≦5 mm), that is, the inner edge r1 of the guide plate extends 1 to 5 mm outward from the lesion range C1. The above-mentioned range of the first preset value is only an example, not a limitation.

Regarding step S15 , the purpose of this step is mainly to set the outer frame of the guide plate 100 so that the guide plate 100 can be stably placed on the patient's site to be treated. In other words, the outer edge r2 of the guide plate is an enlarged range of the inner edge r1 of the guide plate according to a specific ratio, so the two have similar contour shapes. In some embodiments, the second preset value can be between 1 and 5mm (1mm≦the second preset value≦5mm), that is, the outer edge r2 of the guide plate is extended by 1 from the inner edge r1 of the guide plate to 5mm. In some embodiments, the second preset value can be between 2 and 4mm (2mm≦the second preset value≦4mm), that is, the outer edge r2 of the guide plate is extended by 2 mm from the inner edge r1 of the guide plate. to 4mm. In some embodiments, the first preset value may be 3mm (the second preset value=3mm), that is, the outer edge r2 of the guide plate extends outward by 3mm from the inner edge r1 of the guide plate. The above-mentioned range of the second preset value is only an example, not a limitation.

Regarding steps S16 to S17, after obtaining the inner edge r1 of the guide plate and the outer edge r2 of the guide plate, the guide plate generation module 6 can define the range between the inner edge r1 of the guide plate and the outer edge r2 of the guide plate is the inner surface s1 of the guide plate, and the inner surface s1 of the guide plate is three-dimensionalized to obtain the modeling of the guide plate 100 (ie, the guide plate template 10 ). In some embodiments, the thickness t1 of the guide plate may range from 1 to 5 mm (1 mm≦t1≦5 mm), that is, the thickness increases from the inner surface s1 of the guide plate upwards by 1 to 5 mm. In some embodiments, the thickness t1 of the guide plate may be between 2 to 4 mm (2 mm≦t1≦4 mm), that is, the thickness increases from the inner surface s1 of the guide plate upwards by 2 to 4 mm. In some embodiments, the thickness t1 of the guide plate may be between 3 mm (t1=3 mm), that is, the thickness increases by 3 mm upward from the inner surface s1 of the guide plate. In some embodiments, "thickening upward" here can be defined as extending a thickness t1 along the normal direction of the inner surface s1 of the guide plate on the inner surface s1 of the guide plate, but is not limited thereto. Accordingly, The shape of the guide plate template 10 can match the position of the three-dimensional image F1. The above-mentioned range is only an example and not a limitation.

Regarding step S18, after the guide plate template 10 is generated, the processing device 2 can store the guide plate template 10 as a file format applicable to the mold manufacturing machine 9, and transmit the file of the guide plate template 10 through wired or wireless transmission And be sent to mold making machine platform 9. According to this, the actual guide plate 100 can be manufactured automatically.

In some embodiments, between step S14 and step S15, the auxiliary method for bone cutting and repair may further include step S141. Step S141 is: the edge optimization module 7 performs an edge smoothing operation on the inner edge r1 of the guide plate to optimize the inner edge r1 of the guide plate. The purpose of executing step S141 is that generally 3D images will be presented in the form of triangular mesh surfaces. Therefore, when performing range selection, for example, when selecting the inner edge r1 of the guide plate, it will be limited by the influence of triangular mesh surfaces, so that the selected The range is uneven. Therefore, in step S141, the selected range can be smoothed to make the boundary of the inner edge r1 of the guide plate smoother. In some embodiments, the edge smoothing operation can be implemented using Canny edge detection technology, Sobel edge detection technology, Prewitt edge detection technology, Laplacian edge detection technology or Robert edge detection technology, Snake algorithm, etc., and does not limited to this.

In some embodiments, the bone cutting and repairing auxiliary method may further include steps S21 to S23, wherein the steps S21 to S23 are the automatic generation process of the filling 110, which will be described in detail later.

FIG. 6 is a schematic diagram corresponding to steps S21 to S23 in the embodiment of FIG. 4 . As shown in Figures 4 and 6, after step S14 is completed, step S21 can be executed, and the filler generation module 8 maps a filler outer surface s2 on the three-dimensional image F1 according to the inner edge r1 of the guide plate, wherein the filler The outer surface s2 has a curvature consistent with the bone cutting site. Afterwards step S22 can be executed, the filler generating module 8 stereotypes the outer surface s2 of the filler, and a filler thickness t2 is extended from the outer surface s2 of the filler (the thickness t2 of the filler is indicated in FIG. 3) to generate the stuffer template 11. Then step S23 can be executed, and the mold manufacturing machine 9 can manufacture the actual filler 110 according to the filler template 11 .

The details of steps S21 to S23 can refer to the description of steps S16 to S18, so only the differences will be described below. In some embodiments, the thickness t2 of the filling can be between 1 to 5 mm (1 mm≦t2≦5 mm), that is, the thickness increases from the outer surface s2 of the filling to 1 to 5 mm. In some embodiments, the thickness t2 of the filler can be between 2 to 4 mm (2mm≦t2≦4mm), that is, the thickness increases from the outer surface s2 of the filler by 2 to 4 mm. In some embodiments, the thickness t2 of the filling can be between 3 mm (t1=3 mm), that is, the thickness of the filling is increased by 3 mm from the outer surface s2 of the filling. Accordingly, the shape of the filling template 11 can match the position of the 3D image F1. In some embodiments, "thickening" here can be defined as extending a thickness t2 on the outer surface s2 of the filling along the normal direction of the outer surface s2 of the filling, but is not limited thereto. The above-mentioned range is only an example and not a limitation.

Accordingly, the filler 110 can be automatically generated. Therefore, after the cutting operation is completed, the doctor can use the filler 110 to fill up the cut gap of the patient, and the filler 110 can match the cut site.

Thereby, with the assistance of the present invention, the complexity of the existing cutting operation process can be reduced, the operation time can be shortened and the cutting accuracy can be improved, thereby reducing the occurrence of complications. Alternatively, the present invention can improve the problem that existing fillings are difficult to fit the cut site.

The above-mentioned embodiments are only examples for convenience of description, and the scope of rights claimed by the present invention should be based on the scope of the patent application, rather than limited to the above-mentioned embodiments.

1: Bone cutting and repairing auxiliary system

2: Processing device

3: Medical image acquisition device

4: 3D image reconstruction module

5: Lesion range acquisition module

6: Guide plate generation module

7: Edge optimization module

8: Filling generation module

9:Mold making machine

10: Guide plate template

11: Filler template

20: Microprocessor

21:Computer program products

Claims (10)

An auxiliary system for bone cutting and repairing, comprising: a lesion area acquisition module (5), used to acquire a lesion area (C1 ); and a guide plate generation module (6), used to expand the lesion range (C1), to obtain a guide plate inner edge (r1) and a guide plate outer edge (r2); wherein, the guide plate The guide plate generation module (6) is further used for mapping an inner surface (s1) of the guide plate on the three-dimensional image (F1) according to the inner edge (r1) and the outer edge (r2) of the guide plate , and a guide plate thickness (t1) is extended from the guide plate inner surface (s1) to generate a guide plate template (10). The bone cutting and repairing auxiliary system as described in claim 1, further comprising a filling template generation module (8), used to obtain a three-dimensional image (F1) according to the inner edge (r1) of the guide plate The outer surface of the filling (s2), and a filling thickness (t2) is extended from the outer surface of the filling (s2), so as to generate a filling template (11). The auxiliary system for bone cutting and repairing according to claim 1, wherein the guide plate generating module (6) expands the lesion range (C1) outward according to a first preset value, so as to obtain the inside of the guide plate Edge (r1), wherein the first preset value is between 0.5 and 10 microns. The auxiliary system for bone cutting and repairing according to claim 3, wherein the guide plate generating module (6) expands the inner edge (r1) of the guide plate outward according to a second preset value to obtain the guide plate The outer edge (r2) of the lead plate, wherein the second predetermined value is between 1 and 5 microns. The auxiliary system for bone cutting and repairing as described in claim 1, which further includes an edge optimization module (7) for performing an edge smoothing operation on the inner edge (r1) of the guide plate to optimize the guide plate inner edge (r1). A bone cutting and repairing auxiliary method, performed by a bone cutting and repairing auxiliary system (1), the method includes the steps of: obtaining a medically relevant value on the three-dimensional image (F1) according to a The lesion range (C1); expand the lesion range (C1) to the outside to obtain an inner edge of the guide plate (r1) and an outer edge of the guide plate (r2); and according to the inner edge of the guide plate (r1) and the outer edge (r2) of the guide plate, a guide plate inner surface (s1) is mapped on the three-dimensional image (F1), and a guide plate thickness (t1) is extended from the guide plate inner surface (s1) ) to generate a guide plate template (10). The auxiliary method for bone cutting and repairing as described in claim 6, which further includes the step of: obtaining an outer surface (s2) of a filler on the three-dimensional image (F1) according to the inner edge (r1) of the guide plate, and from the The outer surface of the filling (s2) is extended by a filling thickness (t2) to generate a filling template (11). The auxiliary method for bone cutting and repair as described in Claim 6, wherein the inner edge (r1) of the guide plate is obtained by expanding the lesion range (C1) outward according to a first preset value, wherein the first preset value The value is between 0.5 and 10 microns, and the outer edge (r2) of the guide plate is obtained by expanding the lesion range (C1) outward according to a second preset value, wherein the second preset value is between Between 1 and 5 microns. The auxiliary method for bone cutting and repairing as described in claim 6, further comprising the step of: performing an edge smoothing operation on the inner edge (r1) of the guide plate to optimize the inner edge (r1) of the guide plate. A computer program product, stored in a non-transitory computer readable medium, is used to make a bone cutting and repair assisting system (1) execute a specific program, wherein the computer program product includes: A first instruction to make the bone cutting and repairing auxiliary system (1) obtain a lesion range (C1) on the three-dimensional image (F1) according to a medically relevant value of each area on the three-dimensional image (F1); a second command to make the bone cutting and repairing auxiliary system (1) expand the lesion range (C1) to the outside to obtain a guide plate inner edge (r1) and a guide plate outer edge (r2); a third instruction, Make the bone cutting and repairing auxiliary system (1) map an inner surface (s1) of the guide plate on the three-dimensional image (F1) according to the inner edge (r1) and the outer edge (r2) of the guide plate, And a guide plate thickness (t1) is extended from the guide plate inner surface (s1) to generate a guide plate template (10).

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