CN216211123U - Auxiliary tool for reconstructing skeleton digital model based on scanned image - Google Patents

Auxiliary tool for reconstructing skeleton digital model based on scanned image Download PDF

Info

Publication number
CN216211123U
CN216211123U CN202122403085.6U CN202122403085U CN216211123U CN 216211123 U CN216211123 U CN 216211123U CN 202122403085 U CN202122403085 U CN 202122403085U CN 216211123 U CN216211123 U CN 216211123U
Authority
CN
China
Prior art keywords
model
inner layer
layer component
volume
reconstructed
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202122403085.6U
Other languages
Chinese (zh)
Inventor
张帆
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
SANSHUI DISTRICT PEOPLE'S HOSPITAL FOSHAN CITY
Original Assignee
SANSHUI DISTRICT PEOPLE'S HOSPITAL FOSHAN CITY
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by SANSHUI DISTRICT PEOPLE'S HOSPITAL FOSHAN CITY filed Critical SANSHUI DISTRICT PEOPLE'S HOSPITAL FOSHAN CITY
Priority to CN202122403085.6U priority Critical patent/CN216211123U/en
Application granted granted Critical
Publication of CN216211123U publication Critical patent/CN216211123U/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Apparatus For Radiation Diagnosis (AREA)

Abstract

The utility model discloses an auxiliary tool for reconstructing a bone digital model based on a scanned image, which is characterized by comprising the following components: an inner layer component and an outer layer component, the inner layer component being completely embedded or completely embedded in the outer layer component; the inner assembly is aligned with the target anatomy at CT gray scale or magnetic resonance relaxation time, and the outer assembly is aligned with body tissue outside the target anatomy at CT gray scale or magnetic resonance relaxation time. When the method is applied, an inner layer assembly model is obtained by carrying out image scanning, image segmentation and model reconstruction on the auxiliary tool; and (3) introducing the reconstructed inner layer component model into reverse engineering software or 3D printing support software, calculating the volume of the reconstructed inner layer component model, and dividing the volume of the reconstructed inner layer component model by the volume of the original inner layer component to obtain the volume change rate of the reconstructed model caused by the whole reconstruction process, so that the volume increase proportion caused by each scanning and model reconstruction can be accurately known, and the reconstruction precision of the skeleton 3D model is ensured.

Description

Auxiliary tool for reconstructing skeleton digital model based on scanned image
Technical Field
The utility model relates to the technical field of medical instruments, in particular to an auxiliary tool for reconstructing a bone digital model based on a scanned image.
Background
At present, the application of 3D printing in medical treatment is emerging. The common 3D printing technology is mainly applied to medical treatment: printing prostheses, implants, templates, guides, and the like. The 3D printing technology has its irreplaceable advantages in realizing individualized designs. To achieve individualized design goals, these techniques often do not depart from the use of CT, MR images of the patient to reconstruct a 3D digital model of the patient's anatomy (e.g., bone).
For example, a chinese patent application with publication number CN107320221A discloses a method for making a deformed knee joint skeleton model based on 3D printing, which mainly comprises the following steps: (1) carrying out continuous tomography CT scanning on a patient to obtain image data; (2) carrying out threshold value distinguishing and binarization processing in medical software Mimics to obtain single femoral and tibial mask data and construct a three-dimensional model; (3) performing polygon processing and accurate surface processing in reverse engineering software to obtain a NURBS surface model; (4) and printing the pathological skeleton model with the ratio of 1:1 by using an FDM molding 3D printing technology.
For another example, a chinese patent publication No. CN110223391A discloses a 3D printing method and apparatus for a three-dimensional model of a bone. The method comprises the following steps: acquiring target data, wherein the target data is related data acquired by performing CT scanning or MRI scanning on a bone lesion part of a patient; establishing a three-dimensional model of the skeleton according to the target data; and printing the three-dimensional model of the skeleton by using a 3D printer.
However, in the prior art, errors of a reconstructed 3D model and actual errors are still at a rough level compared with the international dimensional accuracy standard, and the reconstruction accuracy cannot meet the high-accuracy assembly requirement, so that the clinical application of the 3D printing technology is restricted. The inventor researches and discovers that the factors causing the errors are many, such as different brands of scanning equipment, partial volume effect of CT and MR scanning, size error of a scanning machine, selection of specific scanning parameters, individual difference, posture factors and the like. However, the final result often results in a reconstructed model with a larger volume than the actual structure, and the ratio of the volume increase is different according to different specific anatomical structures, for example, the hip bone is generally 5-15% larger in reconstructed volume, and the volume increase often causes a larger deviation between the reconstructed model and the actual structure.
Disclosure of Invention
In view of the problems in the prior art, an object of the present invention is to provide a scan reconstruction assistant tool capable of improving the accuracy of a bone reconstruction model.
In order to achieve the purpose, the utility model adopts the following technical scheme.
An aid for reconstructing a digital model of a bone based on a scan image, comprising: an inner layer component and an outer layer component, the inner layer component being completely embedded or completely embedded in the outer layer component; the inner assembly is aligned with the target anatomy at CT gray scale or magnetic resonance relaxation time, and the outer assembly is aligned with body tissue outside the target anatomy at CT gray scale or magnetic resonance relaxation time.
More preferably, a plurality of said inner members of different shapes are provided on a single said outer member, said inner members having a shape selected from spherical, cylindrical, tubular, freeform, and conforming to the target anatomy, each inner member having the same CT gray scale or magnetic resonance relaxation time.
More preferably, a plurality of inner layer assemblies of the same shape are provided on a single outer layer assembly, each inner layer assembly having a different CT gray scale or magnetic resonance relaxation time.
More preferably, the auxiliary tools are provided in sets, each set having at least two outer assemblies with different CT gray levels or different mr relaxation times.
More preferably, one of the inner members is disposed over a single one of the outer members, the inner member having a shape that substantially conforms to the shape of the targeted anatomical structure.
More preferably, the auxiliary tool is a 3D print, a cured moulding or a split assembly.
More preferably, the inner layer component is a bone-like component with gypsum or viscose gypsum, and the outer layer component is a human tissue-like component made of polymer resin material, polymer gel or latex and calcium sulfate.
The utility model has the beneficial effects that: due to individual differences, differences in digital reconstruction methods, such a final volume increase ratio is often unknown for a particular anatomical reconstruction at a particular scan parameter for a particular individual. When the auxiliary tool provided by the utility model is applied, an inner layer component model can be obtained by carrying out image scanning, image segmentation and model reconstruction on the auxiliary tool; and (3) introducing the reconstructed inner layer component model into reverse engineering software or 3D printing support software, calculating the volume of the reconstructed inner layer component model, and dividing the volume of the reconstructed inner layer component model by the volume of the original inner layer component to obtain the volume change rate of the reconstructed model caused by the whole reconstruction process, so that the volume increase proportion caused by each scanning and model reconstruction can be accurately known, and the reconstruction precision of the skeleton 3D model is ensured.
Drawings
Fig. 1 is a schematic structural view of an I-type auxiliary tool.
Fig. 2 is a schematic structural view of a type II auxiliary tool.
Fig. 3 is a schematic structural view of a type III auxiliary tool.
Reference numerals indicate the same.
1: inner layer assembly, 2: an outer layer assembly.
Detailed Description
In the description of the present invention, it should be noted that, for the terms of orientation, such as "central", "lateral", "longitudinal", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc., it indicates that the orientation and positional relationship shown in the drawings are based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, but does not indicate or imply that the device or element referred to must have a specific orientation, be constructed in a specific orientation, and be operated without limiting the specific scope of protection of the present invention.
Furthermore, if the terms "first" and "second" are used for descriptive purposes only, they are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features. Thus, a definition of "a first" or "a second" feature may explicitly or implicitly include one or more of the feature, and in the description of the utility model, "at least" means one or more unless specifically defined otherwise.
In the present invention, unless otherwise expressly specified or limited, the terms "assembled", "connected", and "connected" are to be construed broadly, e.g., as meaning fixedly connected, detachably connected, or integrally connected; or may be a mechanical connection; the two elements can be directly connected or connected through an intermediate medium, and the two elements can be communicated with each other. The specific meanings of the above terms in the present invention can be understood by those of ordinary skill in the art according to specific situations.
In the present application, unless otherwise specified or limited, "above" or "below" a first feature may include the first and second features being in direct contact, and may also include the first and second features not being in direct contact but being in contact with each other through another feature therebetween. Also, the first feature being "above," "below," and "above" the second feature includes the first feature being directly above and obliquely above the second feature, or simply an elevation which indicates a level of the first feature being higher than an elevation of the second feature. The first feature being "above", "below" and "beneath" the second feature includes the first feature being directly below or obliquely below the second feature, or merely means that the first feature is at a lower level than the second feature.
The following describes the embodiments of the present invention with reference to the drawings of the specification, so that the technical solutions and the advantages thereof are more clear and clear. The embodiments described below are exemplary and are intended to be illustrative of the utility model, but are not to be construed as limiting the utility model.
Additional aspects and advantages of the utility model will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the utility model.
A method of reconstructing a digital model of a bone based on a scanned image, comprising the following steps.
1) Manufacturing an auxiliary tool, wherein the auxiliary tool comprises an inner layer component and an outer layer component, and the inner layer component is completely embedded or completely embedded in the outer layer component; the inner assembly is aligned with the target anatomy at CT gray scale or magnetic resonance relaxation time, and the outer assembly is aligned with body tissue outside the target anatomy at CT gray scale or magnetic resonance relaxation time.
2) And scanning the target anatomical structure and the auxiliary tool to obtain an image, and then carrying out image segmentation and model reconstruction on the target anatomical structure and the inner layer assembly by adopting the same technical route.
3) And importing the reconstructed inner layer component model into reverse engineering software or 3D printing support software, calculating the volume of the reconstructed inner layer component model, and dividing the volume of the reconstructed model by the volume of the original inner layer component to obtain the volume change rate of the reconstructed model caused by the whole technical process.
4) And importing the reconstructed target anatomical structure model into reverse engineering software or 3D printing support software, measuring the volume of the reconstructed model of the target anatomical structure, and dividing the volume of the reconstructed model of the target anatomical structure by the volume change rate of the reconstructed model to obtain the corrected volume of the target anatomical structure model.
5) In reverse engineering software or 3D printing support software, a reconstructed model of the target anatomical structure is subjected to inward surface bias by using a surface bias algorithm, and the reconstructed model is close to a correction volume of the target anatomical structure by adjusting the surface bias distance.
Wherein the auxiliary tool is a two-layer or multi-layer structure, and when the target anatomical structure and/or human tissue are multi-layer, the inner layer component and/or the outer layer component are correspondingly arranged into multiple layers. The following description will be given taking a two-layer structure as an example. In a two-layer structure, the inner layer assembly is completely embedded or completely embedded in the outer layer material.
As shown in FIG. 1, the outer member 2 is made of a material that substantially conforms to the anatomy outside the target anatomy at CT scan gray scale or MR scan relaxation time. The inner layer component 1 is a size standard component, the standard component enclosed in the inner layer component is a basic shape with different forms, and can be a ball, a cylinder, a tube, a free-form surface or a form completely consistent with a target anatomical structure, and the like, and the used material is basically consistent with the average value of the target anatomical structure in the gray scale of a CT scanning image or the relaxation time of an MR scanning image.
As shown in fig. 2, in some embodiments, the range of variation in image gray scale or relaxation time of the target anatomy within the population is segmented, with different image gray scale, relaxation time materials corresponding to the average of the different segments. Similarly, the variation range of the image gray scale or relaxation time of human tissues outside the target anatomical structure in the crowd is segmented, and different image gray scale and relaxation time materials correspond to the average values of different segments. When the auxiliary tools are manufactured, the auxiliary tools can be designed in a set, and each set of auxiliary tools is internally provided with at least two outer layer assemblies 2 with different CT gray scales or different magnetic resonance relaxation times so as to correspond to different crowds; each outer component 2 is provided with a plurality of inner components 1 with the same shape, and each inner component 1 corresponds to the average value of the target anatomical structures of different people on the CT gray scale or the magnetic resonance relaxation time.
Due to the difference in CT gray scale or magnetic resonance relaxation time of the inner assemblies 1, it is preferable to arrange the inner assemblies 1 in a stepwise manner on the same outer assembly 2 according to the difference in CT gray scale or magnetic resonance relaxation time.
As shown in fig. 3, in some embodiments, an inner member 1 conforming to the morphology of the target anatomy may also be completely enclosed or embedded within a single outer member 2.
In order to facilitate the better understanding of the bone model reconstruction method of the present invention for those skilled in the art, the digital hip model reconstruction based on GE16 row or 32 row CT in south China is described as an example. In the following description, type I represents the auxiliary tool shown in fig. 1, type II represents the auxiliary tool shown in fig. 2, and type III represents the auxiliary tool shown in fig. 3.
In hip scanned images based on GE16 or 32 CT in south China, the average CT gray level of soft tissue around a single individual bone is generally in the range of 40-70Hu, the average value is about 55Hu, the average gray level of the hip bone is 300Hu 560Hu, the average value is 405Hu, the I-type outer layer structure is made of materials such as CT gray level 55Hu high polymer resin materials, high polymer gel or latex and the like, and inorganic salts such as calcium sulfate and the like are properly added, and the inner layer material is made of materials such as gypsum, viscose gypsum and the like, or CT gray level 405Hu made of a mixture of inorganic salts and high polymer materials (polyvinyl alcohol, polyvinyl acetate emulsion and the like). Type II, the CT tone of the material can be adjusted by adjusting the ratio of the inorganic salt to the polymer material to obtain a plurality of outer layer and inner layer materials with a stepwise arrangement of CT tones, for example, 3 outer layer materials of 45Hu, 55Hu and 65Hu, and 3 inner layer materials of 300Hu, 350Hu, 400Hu, 450Hu, 500Hu and 550Hu6, and a set of tool is formed by preparing 18 spheres with the same diameter from 6 inner layer materials and sealing the spheres in the 3 inner layer materials. Type III, the material is the same as type I, except that the standard enclosed or embedded therein is a component conforming to the target form.
The auxiliary tool machining method comprises the following steps: a digital model of the inner assembly standard is first designed. The shape of the outer layer material is not limited. Then obtaining a finished product through one of two technical routes: 1) additive manufacturing (3D printing) of multiple materials directly processes the finished product. 2) Firstly, manufacturing a high-precision inner-layer assembly, sealing the assembly in an outer-layer material to manufacture a finished product: the inner layer assembly may use: a) additive manufacturing (3D printing), b) manufacturing a mould, introducing an inner layer material into the mould, curing and molding, and c) carrying out cutting and milling on a condensed and molded block by CNC (computer numerical control) machining. The enclosing outer layer material can adopt the following steps according to different outer layer materials: a) placing the inner layer material into the uncoagulated outer layer material, obtaining a finished product after the outer layer material is solidified, b) placing the inner layer component into the outer layer material component with the cavity which is punched or movably installed, and installing and forming.
The using method comprises the following steps: the volume of the model I and the volume of the model II are small, the model I and the model II are scanned together with a target anatomical structure of a patient to obtain an image containing the target anatomical structure and a tool of the model I or the model II, the image segmentation and the model reconstruction are carried out on the inner layer components of the target anatomical structure and the tool of the model I or the tool of the model II by adopting the same technical route, a component with a topological shape similar to the topological structure is selected from the inner layer components of the reconstructed tool I, a component with an inner layer material similar to the target anatomical structure and the gray level of surrounding tissues is selected from the tool of the model II, the selected inner layer component model is introduced into reverse engineering software or 3D printing support software to calculate the volume of the reconstructed model, and the ratio (volume change rate) of the volume of the reconstructed model caused by the whole technical process is obtained by dividing the volume of the original component. The corrected volume of the target anatomy can be calculated by measuring the volume of the reconstructed model of the anatomy in software divided by this ratio. And performing inward surface bias on the reconstructed model of the target anatomical structure by using a surface bias algorithm or in software, and enabling the processed model to be close to the correction volume of the target anatomical structure by adjusting the surface bias distance, wherein at the moment, partial or all model amplification of the corrected model is eliminated, and the corrected model is closer to the real anatomical structure.
The III-type tool needs to be scanned independently before and after the scan of the anatomical structure (the scan parameter is the same as the scan parameter of the anatomical structure), the same technical route is adopted to carry out image segmentation and model reconstruction on the target anatomical structure and the inner layer component of the IIII-type tool, the inner layer component model is led into reverse engineering software or 3D printing support software to calculate the reconstructed model volume, and the ratio (volume change rate) of the reconstructed model volume caused by the whole technical process is obtained by dividing the reconstructed model volume by the original component volume. The corrected volume of the target anatomy can be calculated by measuring the volume of the reconstructed model of the anatomy in software divided by this ratio. And performing inward surface bias on the reconstructed model of the target anatomical structure by using a surface bias algorithm or in software, and enabling the processed model to be close to the correction volume of the target anatomical structure by adjusting the surface bias distance, wherein at the moment, partial or all model amplification of the corrected model is eliminated, and the corrected model is closer to the real anatomical structure.
And (6) verifying.
Optionally, in the above process, a verification method is selected, and the ratio involved in the subsequent calculation (assuming that the ratio is x 1) is properly corrected, and the selected inner-layer component reconstructed digital model of the type I or type II tool and the digital model of the original standard component complete the registration of the three-dimensional model by using the least square algorithm or use the 3D model registration tool in reverse engineering software (e.g. geoimagic, etc.)The registration of the reconstructed inner-layer assembly and the original digital model is completed, the average deviation of the reconstructed model and the original digital model is known by utilizing a software three-dimensional deviation analysis function (or the average Hausdorff distance is calculated by using an equivalent surface extraction algorithm and other algorithms to be used as the absolute average deviation) after the registration, the reconstructed model is biased towards the inner side by a surface bias algorithm or function, the volume of the reconstructed assembly model is approximate to the volume of the original assembly by adjusting the surface bias distance, and the absolute average deviation (set as k) between the processed model and the original model is known by deviation analysis1) (ii) a Further adjusting the surface offset distance to minimize the absolute average deviation between the processed reconstructed module model and the original module (assuming the minimum value is k)2) (ii) a If k is1、k2If the difference is large, whether the reconstruction technology flow is influenced by noise or not needs to be checked, and whether the reconstruction technology route reconstruction model needs to be changed or not needs to be checked; if k is1、k2The ratio of the reconstructed component model volume divided by the processed reconstructed component model volume (assuming this ratio is x) is chosen to be as desired2Correction ratio) to further correct the volume of the target anatomy.
And (5) verifying the standard.
It may also be determined during the verification whether the correction ratio should be selected to participate in calculating the corrected volume of the anatomical structure by the following method. Let the pixel size of the scanned image be l, first know k1And k is2Whether it is close to or less than 0.301 x l, i.e. if k is1And k is2All are obviously larger than 0.301 × l, which indicates that the technical process of the model reconstruction method needs to be improved. If k is2X is selected to be close to or less than 0.301 x l2And entering subsequent correction calculation. The principle is as follows: the method can be used for mathematically proving that the average deviation of all reconstruction models approaches to 0.301 × l when a slice-level reconstruction method is adopted to reconstruct an irregular anatomical structure for infinite times in an ideal state, so that the reconstruction error of a certain reconstruction method can be judged to reach a more ideal level by taking the average deviation as a standard, and if the corrected reconstruction error is still obviously greater than 0.301 × l, the problem of the model reconstruction technical process is solved.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the utility model. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
It will be appreciated by those skilled in the art from the foregoing description of construction and principles that the utility model is not limited to the specific embodiments described above, and that modifications and substitutions based on the teachings of the art may be made without departing from the scope of the utility model as defined by the appended claims and their equivalents. The details not described in the detailed description are prior art or common general knowledge.

Claims (6)

1. An aid for reconstructing a digital model of a bone based on a scan image, comprising: the inner layer component is completely embedded or embedded in the outer layer component; the inner assembly is aligned with the target anatomy at CT gray scale or magnetic resonance relaxation time, and the outer assembly is aligned with body tissue outside the target anatomy at CT gray scale or magnetic resonance relaxation time.
2. The aid of claim 1, wherein a plurality of said inner members of different shapes are disposed on a single said outer member, said inner members having a shape selected from spherical, cylindrical, tubular, freeform, and conforming to the target anatomy, each inner member having the same CT gray scale or magnetic resonance relaxation time.
3. An aid for reconstructing a digital model of a bone from a scan image as recited in claim 1, wherein a plurality of identically shaped inner members are provided on a single said outer member, each inner member having a different CT gray scale or magnetic resonance relaxation time.
4. An aid for reconstructing a digital model of a bone from a scan image according to claim 2 or 3, wherein said aid is provided in sets of at least two outer assemblies having different CT gray levels or different MR relaxation times within each set of aids.
5. An aid for reconstructing a digital model of a bone based on a scan image as recited in claim 1, wherein one of said inner members is disposed over a single of said outer members, said inner member having a shape substantially conforming to a shape of the target anatomy.
6. An aid for reconstructing a digital model of a bone based on a scanned image as claimed in claim 1, wherein the aid is a 3D print, a cured moulding or a split assembly.
CN202122403085.6U 2021-09-30 2021-09-30 Auxiliary tool for reconstructing skeleton digital model based on scanned image Active CN216211123U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202122403085.6U CN216211123U (en) 2021-09-30 2021-09-30 Auxiliary tool for reconstructing skeleton digital model based on scanned image

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202122403085.6U CN216211123U (en) 2021-09-30 2021-09-30 Auxiliary tool for reconstructing skeleton digital model based on scanned image

Publications (1)

Publication Number Publication Date
CN216211123U true CN216211123U (en) 2022-04-05

Family

ID=80860283

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202122403085.6U Active CN216211123U (en) 2021-09-30 2021-09-30 Auxiliary tool for reconstructing skeleton digital model based on scanned image

Country Status (1)

Country Link
CN (1) CN216211123U (en)

Similar Documents

Publication Publication Date Title
US6564086B2 (en) Prosthesis and method of making
US11883307B2 (en) Variable impedance mechanical interface
CN109501091B (en) 3D printing-based personalized meniscus forming method, meniscus and mold
US8706285B2 (en) Process to design and fabricate a custom-fit implant
KR102037281B1 (en) Bone reconstruction and orthopedic implants
EP0756735B1 (en) Method for making a perfected medical model on the basis of digital image information of a part of the body
US20030109784A1 (en) Method of producing profiled sheets as prosthesis
Chua et al. Rapid prototyping assisted surgery planning
CN108290349A (en) The system and method for quality control in being applied for 3D printing
CN108847111B (en) Craniocerebral simulation model and preparation method thereof
CN104739548A (en) System for designing individual artificial knee joint prosthesis based on parameter driving
CN1864074A (en) Determining patient-related information on the position and orientation of mr images by the individualisation of a body model
CN108959761A (en) A kind of novel prosthetic socket manufacturing method
CN113066109B (en) Pelvis registration method, pelvis registration device, and pelvis registration system
CN113920244A (en) Method and auxiliary tool for reconstructing skeleton digital model based on scanned image
DK2873393T3 (en) Method for determining the dimension of a limb shaft for a limb stump and method for making a limb stump prosthesis
CN216211123U (en) Auxiliary tool for reconstructing skeleton digital model based on scanned image
CN104881511B (en) A kind of production method of human face's prosthesis three-dimensional data model, cloudy shape flask and its prosthesis
US11705020B2 (en) Method of manufacturing a bio-model comprising a synthetic skin layer and bio-model comprising a synthetic skin layer
US11039904B2 (en) Device and method for holding prosthetic teeth
Katatny et al. Evaluation and validation of the shape accuracy of FDM fabricated medical models
EP2682071B1 (en) Method for copying and reproducing anatomical segments of a patient
Bici et al. Digital design of medical replicas via desktop systems: shape evaluation of colon parts
WO2015037978A1 (en) An anatomical model
PL242932B1 (en) Model for medical applications and method of producing a model for medical applications

Legal Events

Date Code Title Description
GR01 Patent grant
GR01 Patent grant