阅读说明：本技术 赝复体制作方法、系统、终端以及介质 (Prosthesis manufacturing method, system, terminal and medium ) 是由 周一雄 王震 宋雪霏 李伦昊 马波 于 2020-05-08 设计创作，主要内容包括：本申请提供一种赝复体制作方法、系统、终端以及介质,包括：包括：采集人脸3D数据；根据人脸3D数据对特定的人脸角度进行关键点定位；将关键点定位后的人脸3D数据注册到一3D人脸模板；在3D人脸模板中选取多个脸部关键点；根据选取多个关键点后的3D人脸模板生成镜面3D人脸模型；进行3D打印得到赝复体。解决了现有技术中表面着色依然依靠手工绘制,耗时且人力成本高因而价格昂贵；并获取的数据只能是患者卧位,以及由于扫描致使患者暴露于过多射线的问题。本申请可于患者直立位获取面部形态数据、使患者在数据采集过程中免受射线、2D纹理和3D位置信息同步匹配的数据采集模式,并进行镜像建模和校正并3D打印赝复体,用于颅面部损伤、术后患者的面部形态和外观装饰。(The application provides a prosthesis manufacturing method, a system, a terminal and a medium, comprising the following steps: the method comprises the following steps: collecting 3D data of a human face; carrying out key point positioning on a specific face angle according to the face 3D data; registering the 3D data of the face after the key points are positioned to a 3D face template; selecting a plurality of face key points from a 3D face template; generating a mirror surface 3D face model according to the 3D face template with the plurality of selected key points; and 3D printing to obtain the prosthesis. The problem that in the prior art, surface coloring still depends on manual drawing, time is consumed, labor cost is high, and therefore price is high is solved; and the only data acquired is the patient's recumbent position, and the problem of excessive radiation exposure to the patient due to the scan. The method can acquire facial form data at the vertical position of a patient, avoid the synchronous matching of rays, 2D textures and 3D position information of the patient in the data acquisition process, perform mirror image modeling and correction, and print the prosthesis in a 3D mode, and is used for craniofacial damage and the facial form and appearance decoration of postoperative patients.)

1. A method of fabricating a prosthesis, the method comprising:

collecting 3D data of a human face;

carrying out key point positioning on a specific face angle according to the face 3D data;

registering the 3D data of the face after the key points are positioned to a 3D face template;

selecting a plurality of face key points in the 3D face template;

generating a mirror surface 3D face model according to the 3D face template with the plurality of selected key points;

and 3D printing is carried out on the mirror surface 3D face model to obtain a prosthesis.

2. The prosthesis manufacturing method of claim 1, wherein the manner of collecting the 3D data of the human face comprises: human face 3D data is acquired using a structured light scanner.

3. The prosthesis production method of claim 1, wherein the face 3D data comprises: and human face textures and shape pictures at multiple angles.

4. The prosthesis manufacturing method of claim 1, wherein the manner of performing key point localization on specific face angles according to the face 3D data comprises: and carrying out key point positioning on the face angle in the face 3D data by utilizing the HOG active appearance model.

5. The prosthesis manufacturing method of claim 1, wherein the manner of registering the face 3D data after the key point localization to a 3D face template comprises: and registering the 3D data of the face with the positioned key points to a 3D face template through a non-rigid iterative closest point algorithm.

6. The prosthesis fabrication method of claim 1, wherein the facial keypoints comprise: orbital portion keypoints, wherein the orbital portion comprises: one or more of zygomatic sites, frontotemporal sites, medial and lateral angular sites, palpebral margin, corneoscleral margin, caruncle and plica of the eyelid.

7. The prosthesis manufacturing method of claim 1, wherein the manner of generating the mirror surface 3D face model according to the 3D face template after selecting the plurality of key points comprises:

using the surface central line as an axis, and selecting a healthy side reference area for manufacturing a prosthesis from the 3D face template after the plurality of key points are selected;

symmetrically overturning the healthy side reference area to obtain a mirror model;

and adjusting the posture of the mirror surface model to obtain a mirror surface 3D face model.

8. A prosthesis fabrication system, comprising:

the acquisition module is used for acquiring 3D data of a human face;

the key point positioning module is used for positioning key points of a specific face angle according to the face 3D data;

the face model registration module is used for registering the face 3D data after the key points are positioned to a 3D face template;

the face key point selection module is used for selecting a plurality of face key points in the 3D face template;

the mirror surface 3D face model generation module is used for generating a mirror surface 3D face model according to the 3D face template with the plurality of key points selected;

and the 3D printing module is used for performing 3D printing on the mirror surface 3D face model to obtain a prosthesis.

9. A prosthesis fabrication terminal, comprising:

a memory for storing a computer program;

a processor for running the computer program to perform the prosthesis fabrication method of any one of claims 1 to 7.

10. A computer storage medium having stored thereon a computer program which when run implements a prosthesis fabrication method as claimed in any one of claims 1 to 7.

Technical Field

The application relates to the technical field of restoration after craniomaxillofacial defects, in particular to a prosthesis manufacturing method, a prosthesis manufacturing system, a prosthesis manufacturing terminal and a prosthesis manufacturing medium.

Background

After surgeries with large damage ranges, such as orbital, maxillofacial and craniocerebral tumor excision and severe trauma, partial cases are decorated by using a prosthesis instead of further surgical reconstruction for various subjective and objective reasons, so as to achieve the beautiful effect. The traditional prosthesis is manufactured by adopting complex processes of facial mould taking, mould manufacturing, embedding casting, abutment adaptation, wax removal, silica gel addition, surface coloring, cleaning and trimming and the like, and has high requirements on operators, high manufacturing cost and labor cost and long consumed time. Computer-aided manufacturing techniques emerging in recent years have utilized CT medical techniques to acquire patient three-dimensional facial data, using selective sintering of powdered materials for 3D printing (CN 101224144A). Although the prosthesis structure closer to the required form is obtained by computer modeling in the new method, on one hand, the surface coloring still depends on manual drawing, which consumes a large amount of manpower and material resources and has high requirements on a drawer, time consumption and high manpower cost, so that the price is high; on the other hand, the data acquired by CT is acquired when the patient is in a lying position, the data is different from the soft tissue form when the patient is in an upright position, and the prepared model cannot completely meet the form requirement of the patient; furthermore, there is some morphological variation of the soft tissue over a short period of time, making it impossible to scan the patient with frequent CT and exposing the patient to excessive radiation.

Content of application

In view of the above drawbacks of the prior art, the present application aims to provide a prosthesis making method, system, terminal and medium, which are used to solve the problems in the prior art that surface coloring still depends on manual drawing, consumes a lot of manpower and material resources, has high requirements on a drawer, and is time-consuming, high in manpower cost and expensive; on the other hand, the data acquired by CT is acquired when the patient is in a lying position, the data is different from the soft tissue form when the patient is in an upright position, the manufactured model cannot completely meet the form requirement of the patient, in addition, the soft tissue has certain form variation in a short time, and the patient cannot be frequently scanned by CT, so that the patient is exposed to excessive rays.

To achieve the above and other related objects, the present application provides a prosthesis manufacturing method, comprising: collecting 3D data of a human face; carrying out key point positioning on a specific face angle according to the face 3D data; registering the 3D data of the face after the key points are positioned to a 3D face template; selecting a plurality of face key points in the 3D face template; generating a mirror surface 3D face model according to the 3D face template with the plurality of selected key points; and 3D printing is carried out on the mirror surface 3D face model to obtain a prosthesis.

In an embodiment of the present application, the manner of acquiring 3D data of a human face includes: human face 3D data is acquired using a structured light scanner.

In an embodiment of the present application, the face 3D data includes: and human face textures and shape pictures at multiple angles.

In an embodiment of the present application, a method for performing a key point positioning on a specific face angle according to the face 3D data includes: and carrying out key point positioning on the face angle in the face 3D data by utilizing the HOG active appearance model.

In an embodiment of the present application, a method for registering 3D face data after positioning key points into a 3D face template includes: and registering the 3D data of the face with the positioned key points to a 3D face template through a non-rigid iterative closest point algorithm.

In an embodiment of the present application, the facial key points include: orbital portion keypoints, wherein the orbital portion comprises: one or more of zygomatic sites, frontotemporal sites, medial and lateral angular sites, palpebral margin, corneoscleral margin, caruncle and plica of the eyelid.

In an embodiment of the present application, the method for generating a mirror surface 3D face model according to a 3D face template after selecting a plurality of key points includes: using the surface central line as an axis, and selecting a healthy side reference area for manufacturing a prosthesis from the 3D face template after the plurality of key points are selected; symmetrically overturning the healthy side reference area to obtain a mirror model; and adjusting the posture of the mirror surface model to obtain a mirror surface 3D face model.

To achieve the above and other related objects, the present application provides a prosthesis making system, comprising: the acquisition module is used for acquiring 3D data of a human face; the key point positioning module is used for positioning key points of a specific face angle according to the face 3D data; the face model registration module is used for registering the face 3D data after the key points are positioned to a 3D face template; the face key point selection module is used for selecting a plurality of face key points in the 3D face template; the mirror surface 3D face model generation module is used for generating a mirror surface 3D face model according to the 3D face template with the plurality of key points selected; and the 3D printing module is used for performing 3D printing on the mirror surface 3D face model to obtain a prosthesis.

To achieve the above and other related objects, the present application provides a prosthesis manufacturing terminal, comprising: a memory for storing a computer program; and the processor runs the computer program to execute the prosthesis manufacturing method.

To achieve the above and other related objects, the present application provides a computer-readable storage medium storing a computer program which, when executed, implements the prosthesis fabrication method.

As described above, the prosthesis manufacturing method, system, terminal and medium of the present application have the following beneficial effects: the method can acquire facial form data at the vertical position of a patient, prevent the patient from rays in the data acquisition process, simultaneously realize a data acquisition mode of synchronously matching 2D textures and 3D position information, perform mirror image modeling and correction on 3D and 2D layers, and manufacture the 3D printing prosthesis at one time for craniofacial damage and facial form and appearance decoration of the postoperative patient.

Drawings

Figure 1 is a schematic flow chart illustrating a method for fabricating a prosthesis according to an embodiment of the present application.

Fig. 2 shows an intention of a 3D face template registration map in an embodiment of the present application.

FIG. 3 is a display diagram illustrating the enhanced resolution of key points and vertices in the orbital portion of an embodiment of the present application.

FIG. 4 is a diagram illustrating mirror model generation according to an embodiment of the present application.

FIG. 4a is a robust side calibration graph according to an embodiment of the present application.

FIG. 4b is a mirror-inverted view of an embodiment of the present application.

FIG. 4c is a diagram illustrating mirror model pose adjustment according to an embodiment of the present application.

Figure 5 is a schematic diagram of a prosthesis fabrication system according to an embodiment of the present application.

Figure 6 is a schematic structural diagram of a prosthesis manufacturing terminal according to an embodiment of the present application.

Detailed Description

The following description of the embodiments of the present application is provided by way of specific examples, and other advantages and effects of the present application will be readily apparent to those skilled in the art from the disclosure herein. The present application is capable of other and different embodiments and its several details are capable of modifications and/or changes in various respects, all without departing from the spirit of the present application. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.

It is noted that in the following description, reference is made to the accompanying drawings which illustrate several embodiments of the present application. It is to be understood that other embodiments may be utilized and that mechanical, structural, electrical, and operational changes may be made without departing from the spirit and scope of the present application. The following detailed description is not to be taken in a limiting sense, and the scope of embodiments of the present application is defined only by the claims of the issued patent. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. Spatially relative terms, such as "upper," "lower," "left," "right," "lower," "below," "lower," "over," "upper," and the like, may be used herein to facilitate describing one element or feature's relationship to another element or feature as illustrated in the figures.

Also, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context indicates otherwise. It will be further understood that the terms "comprises," "comprising," and/or "comprising," when used in this specification, specify the presence of stated features, operations, elements, components, items, species, and/or groups, but do not preclude the presence, or addition of one or more other features, operations, elements, components, items, species, and/or groups thereof. The terms "or" and/or "as used herein are to be construed as inclusive or meaning any one or any combination. Thus, "A, B or C" or "A, B and/or C" means "any of the following: a; b; c; a and B; a and C; b and C; A. b and C ". An exception to this definition will occur only when a combination of elements, functions or operations are inherently mutually exclusive in some way.

The application provides a prosthesis manufacturing method, which solves the problems that in the prior art, surface coloring still depends on manual drawing, a large amount of manpower and material resources are consumed, the requirement on a drawer is high, time is consumed, the labor cost is high, and the price is high; on the other hand, the data acquired by CT is acquired when the patient is in a lying position, the data is different from the soft tissue form when the patient is in an upright position, the manufactured model cannot completely meet the form requirement of the patient, in addition, the soft tissue has certain form variation in a short time, and the patient cannot be frequently scanned by CT, so that the patient is exposed to excessive rays; the method can acquire facial form data at the vertical position of a patient, prevent the patient from rays in the data acquisition process, simultaneously realize a data acquisition mode of synchronously matching 2D textures and 3D position information, perform mirror image modeling and correction on 3D and 2D layers, and manufacture the 3D printing prosthesis at one time for craniofacial damage and facial form and appearance decoration of the postoperative patient.

The method comprises the following steps:

collecting 3D data of a human face;

carrying out key point positioning on a specific face angle according to the face 3D data;

registering the 3D data of the face after the key points are positioned to a 3D face template;

selecting a plurality of face key points in the 3D face template;

generating a mirror surface 3D face model according to the 3D face template with the plurality of selected key points;

and 3D printing is carried out on the mirror surface 3D face model to obtain a prosthesis.

The following detailed description of the embodiments of the present application will be made with reference to fig. 1 so that those skilled in the art described in the present application can easily implement the embodiments. The present application may be embodied in many different forms and is not limited to the embodiments described herein.

As shown in fig. 1, a schematic flow chart of a prosthesis manufacturing method in an embodiment is shown, which includes the following steps;

step S11: human face 3D data is collected.

Optionally, human face 3D position data and human texture and shape images at multiple angles are collected.

Optionally, the 3D data of the face is acquired using a structured light scanner.

Optionally, utilize the structured light scanner to gather people's face 3D position data, use supporting device according to the difference of structured light scanner, gather human texture and shape picture in step.

Optionally, the structured light scanner is Bellus3D Face Camera Pro or EinScan Pro.

Step S12: and carrying out key point positioning on a specific face angle according to the face 3D data.

Optionally, a key point positioning technology is used to perform key point positioning on the face angle in the face 3D data.

Optionally, a hot active appearance model is used to perform key point positioning on the face angle in the face 3D data.

Optionally, key points of human texture and shape pictures at different human face angles in the human face 3D data are positioned by using the HOG active appearance model.

Optionally, virtual cameras at a plurality of different angles are used for face texture and shape pictures.

Optionally, when the HOG active appearance model is initialized, a face detector is used to obtain stable and reliable face key points.

Optionally, the number of the face key points is 68, and the method includes: 17 points of face contour, 5 points of left eyebrow, 5 right eyebrow, 4 nose bridge, 5 at the bottom of nostril, 6 left eye, 6 right eye, 7 at the outer edge of upper lip, 5 at the outer edge of lower lip and 8 at the inner side of lip.

Optionally, the training samples of the HOG active appearance model include an LFPW database.

S13: and registering the 3D data of the face after the key points are positioned to a 3D face template.

Optionally, the 3D face data after the key points are located is registered in a 3D face template through a non-rigid iterative closest point algorithm, which can supplement loopholes of the scanned data, and can also complete point-to-point semantic mapping of the 3D scanned data to the template. Fig. 2 shows a 3D face template registry.

Optionally, the 3D face template includes: one or more of an eyeball protrusion template, an eyeball invagination template, an eyelid retraction template, an upper eyelid ptosis template, an eyelid inversion template, an eyelid eversion template, an inner and outer canthus position abnormality template and an orbital region symmetry height difference template.

Optionally, the 3D face data after the key points are located is registered to a 3D face template through the BFM model.

Optionally, the BFM model is selected as a 3D face template, and the template has m vertices. The position of each vertex is defined as x, y, z, and the corresponding color is defined as r, g, b. The shape S and texture C of such a face can be defined as:

s＝[x₁，y₁，z₁，…，x_m，y_m，z_m]^T； (1)

c＝[r₁，g₁，b₁，…，r_m，g_m，b_m]^T； (2)

the model assumes that the shape and texture are two independent linear models. Using Principal Component Analysis (PCA), parameterized face shape models and texture models can be obtained, respectively:

s14: and selecting a plurality of face key points in the 3D face template.

Optionally, the face key points include: orbital portion keypoints, wherein the orbital portion comprises: one or more of zygomatic points, frontotemporal points, inner and outer angular points, palpebral margin, corneoscleral margin, caruncle and eyelid folds, so that the 3D face deformation model can reconstruct symptoms of different orbital diseases as finely as possible, and the condition that abnormal characteristic morphology presented by the orbital diseases is wrongly converged into normal people to cause the incapability of realizing screening of the orbital diseases is avoided.

Optionally, the more the number of the key points on the face is, the higher the resolution of the point-to-point mapping of each part is, and further, the screening effectiveness and accuracy of the orbit diseases can be improved to a great extent. Shown by fig. 3 is a display diagram of the enhanced resolution of key points and vertices in the orbital portion.

S15: and generating a mirror surface 3D face model according to the 3D face template with the plurality of selected key points.

Optionally, a healthy side reference region for manufacturing the prosthesis is selected from the 3D face template with the selected plurality of key points by taking the plane central line as an axis;

symmetrically overturning the healthy side reference area to obtain a mirror model;

and adjusting the posture of the mirror surface model to obtain a mirror surface 3D face model.

Wherein FIG. 4 is shown as a mirror model generation map, wherein 4a is shown as a robust side calibration map; 4b are shown as mirror-inverted images and 4c are shown as mirror-model pose adjustment images.

Optionally, a mirror image of the 2D texture and the color is made according to the human texture and the shape picture, so that the mirror image can be used for coloring the surface of a model, and simulating the appearance of organs, skin color, texture and the like at the corresponding position of the human body.

S16: and 3D printing is carried out on the mirror surface 3D face model to obtain a prosthesis.

Optionally, the mirror surface 3D face model is subjected to color raw material mixing 3D printing by using a silicone-like/rubber-like material with good biocompatibility to obtain a prosthesis.

In a manner similar to the principles of the above-described embodiments, the present application provides a prosthesis fabrication system, comprising:

the acquisition module is used for acquiring 3D data of a human face;

the key point positioning module is used for positioning key points of a specific face angle according to the face 3D data;

the face model registration module is used for registering the face 3D data after the key points are positioned to a 3D face template;

the face key point selection module is used for selecting a plurality of face key points in the 3D face template;

the mirror surface 3D face model generation module is used for generating a mirror surface 3D face model according to the 3D face template with the plurality of key points selected;

and the 3D printing module is used for performing 3D printing on the mirror surface 3D face model to obtain a prosthesis.

Specific embodiments are provided below in conjunction with the attached figures:

figure 5 shows a schematic structural diagram of a prosthesis manufacturing system in an embodiment of the present application.

The system comprises:

the acquisition module 51 is used for acquiring human face 3D data;

the key point positioning module 52 is configured to perform key point positioning on a specific face angle according to the face 3D data;

the face model registration module 53 is configured to register the 3D face data after the key points are located in a 3D face template;

the face key point selecting module 54 is configured to select a plurality of face key points from the 3D face template;

the mirror surface 3D face model generation module 55 is configured to generate a mirror surface 3D face model according to the 3D face template with the plurality of key points selected;

and the 3D printing module 56 is configured to perform 3D printing on the mirror surface 3D face model to obtain a prosthesis.

Optionally, the acquisition module 51 acquires human face 3D position data and human texture and shape images at multiple angles.

Optionally, the acquisition module 51 acquires 3D data of a human face by using a structured light scanner.

Optionally, the acquisition module 51 acquires 3D position data of a human face by using a structured light scanner, and acquires human texture and shape images synchronously by using a device matched with the structured light scanner.

Optionally, the structured light scanner is Bellus3D Face Camera Pro or EinScan Pro.

Optionally, the key point positioning module 52 performs key point positioning on the face angle in the face 3D data by using a key point positioning technology.

Optionally, the key point positioning module 52 performs key point positioning on the face angle in the face 3D data by using an HOG active appearance model.

Optionally, the key point positioning module 52 performs key point positioning on the human texture and shape pictures at different human face angles in the human face 3D data by using an HOG active appearance model.

Optionally, the keypoint locating module 52 utilizes a plurality of virtual camera face texture and shape pictures at different angles.

Optionally, the key point positioning module 52 employs a face detector when the HOG active appearance model is initialized, so as to obtain stable and reliable face key points.

Optionally, the number of the face key points is 68, and the method includes: 17 points of face contour, 5 points of left eyebrow, 5 right eyebrow, 5 nose bridge, 5 nostrils at the bottom of nostril, 6 left eyes, 6 right eyes, 7 outer edges of upper lip, 5 outer edges of lower lip and 8 inner edges of lips.

Optionally, the training samples of the HOG active appearance model include an LFPW database.

Optionally, the face model registration module 53 registers the face 3D data after the key point is located in a 3D face template through a non-rigid iterative closest point algorithm, so as to supplement a bug of the scanned data, and also complete the point-to-point semantic mapping of the 3D scanned data to the template, and the face template is deformed through the non-rigid iterative closest point algorithm, so that the shape of the face is closest to the shape of the input 3D face under the condition that the 3D face key point is used as a limitation.

Optionally, the 3D face template includes: one or more of an eyeball protrusion template, an eyeball invagination template, an eyelid retraction template, an upper eyelid ptosis template, an eyelid inversion template, an eyelid eversion template, an inner and outer canthus position abnormality template and an orbital region symmetry height difference template.

Optionally, the face model registration module 53 registers the face 3D data after the key point is located to a 3D face template through a BFM model.

Optionally, the face model registration module 53 selects a BFM model as a 3D face template, where the template has m vertices. The position of each vertex is defined as x, y, z, and the corresponding color is defined as r, g, b. The shape S and texture C of such a face can be defined as:

s＝[x₁，y₁，z₁，…，x_m，y_m，z_m]^T； (1)

c＝[r₁，g₁，b₁，…，r_m，g_m，b_m]^T； (2)

the model assumes that the shape and texture are two independent linear models. Using Principal Component Analysis (PCA), parameterized face shape models and texture models can be obtained, respectively:

optionally, the face key points include: orbital portion keypoints, wherein the orbital portion comprises: one or more of zygomatic points, frontotemporal points, inner and outer angular points, palpebral margin, corneoscleral margin, caruncle and eyelid folds, so that the 3D face deformation model can reconstruct symptoms of different orbital diseases as finely as possible, and the condition that abnormal characteristic morphology presented by the orbital diseases is wrongly converged into normal people to cause the incapability of realizing screening of the orbital diseases is avoided.

Optionally, the more the number of the key points on the face is, the higher the resolution of the point-to-point mapping of each part is, and further, the screening effectiveness and accuracy of the orbit diseases can be improved to a great extent.

Optionally, the mirror surface 3D face model generating module 55 uses a plane central line as an axis, and a healthy side reference region for making a prosthesis is selected from the 3D face template after the plurality of key points are selected;

symmetrically overturning the healthy side reference area to obtain a mirror model;

and adjusting the posture of the mirror surface model to obtain a mirror surface 3D face model.

Optionally, the mirror surface 3D face model generation module 55 makes a mirror image of 2D texture and color according to the human texture and the shape picture, so that the mirror image can be used for coloring the model surface and simulating the organ morphology, skin color, texture, and the like of the corresponding position of the human body.

Optionally, the 3D printing module 56 performs color material mixing 3D printing on the mirror surface 3D face model by using a silicone-like/rubber-like material with good biocompatibility to obtain a prosthesis.

Fig. 6 is a schematic structural diagram of a prosthesis manufacturing terminal 60 in the embodiment of the present application.

The electronic device 60 includes: a memory 61 and a processor 62, the memory 61 being for storing computer programs; the processor 62 runs a computer program to implement the prosthesis making method as described in figure 1.

Optionally, the number of the memories 61 may be one or more, the number of the processors 62 may be one or more, and one is taken as an example in fig. 6.

Optionally, the processor 62 in the electronic device 60 may load one or more instructions corresponding to the processes of the application program into the memory 61 according to the steps described in fig. 1, and the processor 62 executes the application program stored in the memory 61, so as to implement various functions in the prosthesis making method described in fig. 1.

Optionally, the memory 61 may include, but is not limited to, a high speed random access memory, a non-volatile memory. Such as one or more magnetic disk storage devices, flash memory devices, or other non-volatile solid-state storage devices; the Processor 61 may include, but is not limited to, a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.

Optionally, the Processor 62 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.

The present application further provides a computer-readable storage medium storing a computer program, which when executed, implements the prosthesis fabrication method shown in fig. 1. The computer-readable storage medium may include, but is not limited to, floppy diskettes, optical disks, CD-ROMs (compact disc-read only memories), magneto-optical disks, ROMs (read-only memories), RAMs (random access memories), EPROMs (erasable programmable read only memories), EEPROMs (electrically erasable programmable read only memories), magnetic or optical cards, flash memory, or other type of media/machine-readable medium suitable for storing machine-executable instructions. The computer readable storage medium may be a product that is not accessed by the computer device or may be a component that is used by an accessed computer device.

In summary, the prosthesis manufacturing method, system, terminal and medium solve the problems that in the prior art, surface coloring still depends on manual drawing, a large amount of manpower and material resources are consumed, requirements on a drawer are high, time is consumed, and labor cost is high, so that the price is high; on the other hand, the data acquired by CT is acquired when the patient is in a lying position, the data is different from the soft tissue form when the patient is in an upright position, the manufactured model cannot completely meet the form requirement of the patient, in addition, the soft tissue has certain form variation in a short time, and the patient cannot be frequently scanned by CT, so that the patient is exposed to excessive rays. The method can acquire facial form data at the vertical position of a patient, prevent the patient from rays in the data acquisition process, simultaneously realize a data acquisition mode of synchronously matching 2D textures and 3D position information, perform mirror image modeling and correction on 3D and 2D layers, and manufacture the 3D printing prosthesis at one time for craniofacial damage and facial form and appearance decoration of the postoperative patient. Therefore, the application effectively overcomes various defects in the prior art and has high industrial utilization value.

The above embodiments are merely illustrative of the principles and utilities of the present application and are not intended to limit the application. Any person skilled in the art can modify or change the above-described embodiments without departing from the spirit and scope of the present application. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical concepts disclosed in the present application shall be covered by the claims of the present application.