KR20230171337A - 3d simulation system and operation method for plastic surgery consultation and custom-made implant design - Google Patents

Abstract

The 3D simulation system for plastic surgery consultation and custom implant production according to an embodiment of the present specification corresponds to one or more human tissues associated with the patient's affected area using one or more preset boundary values based on a plurality of medical image images. A medical image analysis module that generates 3D image information including one or more 3D objects; A judgment module that determines the presence or absence of an existing implant in the affected area among one or more human tissues; A surgical planning module that generates 3D surgical image information that simulates the patient's surgical plan based on judgment; An implant provision module that generates 3D implant information for the patient based on 3D surgical image information; and a simulation module that generates simulation image information corresponding to 3D merged image information generated based on the surgical image information and 3D implant information.

Description

3D simulation system and operation method for plastic surgery consultation and custom implant production {3D SIMULATION SYSTEM AND OPERATION METHOD FOR PLASTIC SURGERY CONSULTATION AND CUSTOM-MADE IMPLANT DESIGN}

This specification relates to a 3D simulation system and operating method for plastic surgery consultation and custom implant production. More specifically, it relates to an implant suitable for the planned surgery based on the patient's human tissue data analyzed through deep learning technology. It is about the operating method and principles of a 3D simulation system that can simulate the pre- and post-surgical appearance of a patient designed and applied.

Plastic surgery is becoming a common surgery as it is recognized as a cosmetic concept not only for patients who need reconstructive surgery due to accidents, etc., but also for the general public who simply want external changes from an aesthetic point of view. Accordingly, as plastic surgery becomes more popular, requirements for various types of implants suitable for it are increasing.

Meanwhile, in existing plastic surgery, consultation is not performed based on the patient's medical images, and plastic surgery is planned based on the subjective judgment of the medical staff, which sometimes results in surgical results that do not meet the purpose of the surgery.

Additionally, because ready-made implants do not fit the affected area, there is a high possibility of side effects such as bending and movement of the implant, which often leads to reoperation due to a decrease in patient satisfaction after surgery.

Ultimately, there is a need for a more advanced form of plastic surgery through plastic surgery consultation and custom implant production based on the patient's medical images. As a conventional proposal, please refer to Publication Patent No. 10-2012-0096238 regarding a method and system for providing facial correction images.

The purpose of this specification is to provide customized plastic surgery consultation and custom implant production with a simulation function of the patient's appearance with implants suited to the surgical plan for the patient based on the patient's human tissue data analyzed through deep learning technology. The purpose is to provide a 3D simulation system and an operation method for it.

The 3D simulation system for plastic surgery consultation and custom implant production according to an embodiment of the present specification corresponds to one or more human tissues associated with the patient's affected area using one or more preset boundary values based on a plurality of medical image images. A medical image analysis module that generates 3D image information including one or more 3D objects; A judgment module that determines the presence or absence of an existing implant in the affected area among one or more human tissues; A surgical planning module that generates 3D surgical image information that simulates the surgical plan for the patient based on judgment; An implant provision module that generates 3D implant information for the patient based on 3D surgical image information; and a simulation module that generates simulation image information corresponding to 3D merged image information generated based on the surgical image information and 3D implant information.

According to an embodiment of the present specification, not only can the implant present in the patient's affected area be confirmed in advance, but also a surgical plan suitable for the patient's surgical purpose can be simulated in advance, and a patient-customized prosthesis reflecting the surgical plan for the patient can be designed. It is possible to check the postoperative appearance through 3D simulation.

Accordingly, medical staff using the present invention can not only establish more elaborate pre-operative plans and perform actual surgery, but also help increase patients' satisfaction with the surgical results and improve medical staff's satisfaction with the surgery.

Figure 1 is a block diagram showing a 3D simulation system for plastic surgery consultation and custom implant production according to this embodiment.
Figure 2 is a flowchart showing the operation method of the 3D simulation system for plastic surgery consultation and custom implant production according to this embodiment.
Figure 3 is a diagram for explaining the boundary process of the 3D simulation system for plastic surgery consultation and custom implant production according to this embodiment.
Figure 4 shows an example of a 3D medical image according to this embodiment.
Figures 5 and 6 show analysis images of the first surgery patient in the 3D simulation system for plastic surgery consultation and custom implant production according to this embodiment.
7 to 9 exemplarily show 3D surgical image information reflecting various surgical plans according to this embodiment.
Figure 10 shows an example of a 3D image merged based on customized 3D prosthesis information in a 3D simulation system for plastic surgery consultation and custom prosthesis production according to this embodiment.
Figure 11 shows an example of an image designed based on standardized implant information according to another embodiment of the present invention.
Figure 12 is an example showing 3D simulation images before and after surgery according to an embodiment of the present invention.

The above-described characteristics and the detailed description below are all exemplary matters to aid description and understanding of the present specification. That is, the present specification is not limited to this embodiment and may be embodied in other forms. The following embodiments are merely examples for completely disclosing the present specification, and are intended to convey the present specification to those skilled in the art to which the present specification pertains. Therefore, when there are multiple methods for implementing the components of the present specification, it is necessary to clarify that the present specification can be implemented using any of these methods, either a specific method or one that is equivalent to the method.

In this specification, when it is mentioned that a certain configuration includes specific elements or that a process includes specific steps, it means that other elements or other steps may be further included. That is, the terms used in this specification are only for describing specific embodiments and are not intended to limit the concept of this specification. Furthermore, examples described to aid understanding of the invention also include complementary embodiments thereof.

The terms used in this specification have meanings commonly understood by those skilled in the art to which this specification pertains. Commonly used terms should be interpreted with consistent meaning according to the context of this specification. Additionally, terms used in this specification should not be interpreted in an overly idealistic or formal sense unless their meaning is clearly defined. Hereinafter, embodiments of the present specification will be described through the attached drawings.

The video image referred to in this specification refers to an image obtained by measuring 3D data based on a separate input source (eg, infrared, visible light, laser, ultrasound, radiation, etc.). In other words, video image data can be obtained based on values measured on a path reflected by examining the input source.

Meanwhile, the medical imaging images mentioned in this specification are acquired using a medical imaging device, and 3D image information can be implemented by stacking cross sections of multiple medical imaging images.

Meanwhile, in this specification, medical imaging images can be understood as images that follow the Digital Imaging and Communications in Medicine (DICOM) standard.

Here, the medical imaging device may include a Computed Tomography (hereinafter referred to as 'CT') device (or MRI device).

Additionally, medical imaging images can be classified based on the density value (gray scale value) corresponding to each human tissue. For example, each human tissue has a unit of density value (i.e., gray scale value).

Furthermore, 3D image information can be selectively implemented to include only human tissues to be expressed on the 3D image using density values (gray scale values) corresponding to each human tissue.

Figure 1 is a block diagram showing a 3D simulation system for plastic surgery consultation and custom implant production according to this embodiment.

Referring to FIG. 1, the 3D simulation system 100 for plastic surgery consultation and custom implant production according to this embodiment includes a medical image analysis module 110, a judgment module 120, an adjustment and measurement module 130, It may include a surgery planning module 140, an implant provision module 150, and a simulation module 160.

The medical image analysis module 110 of FIG. 1 can acquire multiple medical image images from a Computed Tomography (CT) device (or MRI device).

Here, the medical image may be an image obtained from a CT image of the patient's nose. Additionally, medical imaging images can be understood as being collected or delivered from customers or hospitals.

For example, the medical image analysis module 110 according to this embodiment is associated with the affected part of the patient using one or more preset boundary values based on a plurality of medical image images (e.g., images within a CT image). 3D image information containing one or more 3D objects corresponding to one or more human tissues can be generated.

One or more human tissues referred to herein may include the patient's native tissues, such as cartilage, bone, skin, etc., as well as artificial tissues, such as existing implants (e.g., prosthetics).

Accordingly, one or more preset threshold values may be understood as values set differently for one or more human tissues associated with the affected area.

Specifically, one or more preset boundary values may be determined by performing a bordering operation using partial 2D images on a plurality of medical image images.

Meanwhile, among the values classified through the bordering process, the brightness values selected by the operator for the 3D image can be converted into an STL (Standard Triangulated Language) file.

Here, the STL file refers to a file format provided to save 3D modeled data as a standard format file.

In addition, with respect to the pixel data of multiple medical image images, it is determined which of the one or more human tissues (e.g., cartilage, bone, skin, existing implants) associated with the patient's affected part is based on formatting information associated with a specific human tissue. can be distinguished.

The 3D image information referred to herein may be understood as a 3D rendered image (eg, Figure 5 or Figure 6) implemented by integrating one or more STL files selected by the operator.

Meanwhile, the medical image analysis module 110 according to this embodiment automatically analyzes human tissue 3D image information through the application of deep learning technology such as deep neural network technology or convolutional neural network technology. It will be understood that can be created.

The determination module 120 of FIG. 1 can distinguish whether the surgery patient is a new surgery patient or a reoperation patient based on whether an existing implant exists in the surgery patient's affected area as well as one or more human tissues.

Here, the existing insert referred to in this specification may encompass a structure made of artificial material inserted into the human tissue of a surgical patient during a previous surgical procedure.

Specifically, existing implants may refer to autologous materials or alloplastic implants, and in medical terminology, they may refer to silicone, Gore-Tex, Medpore, etc. Additionally, existing implants may refer to fat grafting, fillers, and lifting threads through procedures.

For example, the determination module 120 may be implemented to determine whether an existing insert exists in the affected area of a surgical patient using a boundary value corresponding to a specific insert.

For example, if it is determined that an existing implant exists among one or more human tissues analyzed by the medical image analysis module 110, the determination module 120 may determine that the patient is a reoperation patient.

As another example, if it is determined that there is no existing implant among one or more human tissues analyzed by the medical image analysis module 110, the determination module 120 may determine that the patient is a new surgery patient.

The adjustment and measurement module 130 of FIG. 1 may reconstruct a 3D rendered image by moving the position of one or more 3D objects included in 3D image information or check dimension information of one or more 3D objects included in 3D image information.

In addition, the adjustment and measurement module 130 of FIG. 1 includes one or more 3D objects (e.g., (a) and (b) of FIG. 6) corresponding to one or more human tissues analyzed by the medical image analysis module 110. , (c)), it can be implemented to generate 3D image information by removing only the 3D object corresponding to the existing insert (for example, (c) in FIG. 6).

The surgical planning module 140 of FIG. 1 may be implemented to simulate a surgical plan based on 3D image information including one or more 3D objects.

Here, the 3D image information may be information generated only by the medical image analysis module 110, and may be generated through the medical image analysis module 110 and the judgment module 120 to create a 3D object corresponding to the existing insert (for example, in FIG. 6). (c)) may be information that has been removed.

For example, the surgical planning module 140 may simulate a surgical plan based on 3D image information from which a 3D object (eg, (c) in FIG. 6) corresponding to an existing implant has been removed.

For example, if the surgical plan is to move the position of the cartilage, the surgical plan module 140 simulates the surgical plan in existing 3D image information such as (a) of Figure 7 (b) and The same 3D image information can be generated.

For example, if the surgical plan is a cutting method for cartilage and/or bone, the surgical plan module 140 simulates the surgical plan in existing 3D image information such as (a) of Figure 8. 3D image information such as (b) can be generated.

For example, if the surgical plan is to insert a cartilage replacement for cartilage, the surgical plan module 140 simulates the surgical plan in existing 3D image information such as (a) of FIG. 9 (b). ) can generate 3D image information such as

Hereinafter, for a clear and concise understanding of the present specification, 3D surgical image information may be understood to mean 3D image information reconstructed by simulating a surgical plan for a patient in previously acquired 3D image information.

The prosthesis providing module 150 of FIG. 1 is associated with a customized prosthesis (e.g., insert) that reflects the requirements information of the user (specialist or manufacturing company) based on 3D image information generated from the medical image analysis module 110. 3D implant information can be generated.

For example, the implant providing module 150 may select a standardized, standard implant and generate 3D implant information associated with an implant designed to fit the affected area or an implant designed to suit the user's requirements.

For example, it will be understood that the size and shape of a standard implant are already determined, and that information about the size and shape of the standard implant can be built in advance in the form of a library within the implant providing module 150.

Meanwhile, when designing an implant manually, the size and shape of the implant can be designed according to requirements. For reference, the designed 3D implant information can be converted to an STL file.

The simulation module 160 of FIG. 1 uses 3D image information reflecting the surgical plan, that is, 3D image information merged based on 3D surgical image information and 3D prosthesis information (hereinafter, 3D merged image information, for example, FIG. 10 or FIG. 11). can be created.

According to this embodiment, simulation image information (eg, FIG. 12 ) reflecting displacement values due to changes in existing human tissue due to insertion of a patient-customized implant may be provided.

The module mentioned in this specification is connected to a storage device (not shown, for example, RAM, HDD, SSD), which is hardware separately provided in the 3D simulation system 100 for plastic surgery consultation and custom implant production according to this embodiment. It will be understood that the configuration may be implemented in software.

The modules mentioned in this specification are described as separate components to logically distinguish them, but may be understood as one component depending on the implementation method.

Figure 2 is a flowchart showing the operation method of the 3D simulation system for plastic surgery consultation and custom implant production according to this embodiment.

Referring to FIGS. 1 and 2 , in step S210, the 3D simulation system for plastic surgery consultation and custom implant production according to this embodiment can acquire a plurality of medical images related to the patient's body. Here, medical imaging images may be obtained from CT images or MRI images.

In step S220, the 3D simulation system for plastic surgery consultation and custom prosthesis production according to this embodiment is applied to one or more human tissues associated with the patient's affected area using one or more preset boundary values based on a plurality of medical image images. 3D image information including one or more corresponding 3D objects can be generated.

For example, 3D image information may be understood as a 3D rendered image corresponding to FIG. 6, which will be described later. Additionally, one or more 3D objects included in the 3D image information may correspond to the skull (e.g., a in FIG. 6), an existing implanted prosthesis (e.g., b in FIG. 6), and cartilage (e.g., c in FIG. 6). .

In step S230, the 3D simulation system for plastic surgery consultation and custom implant production according to this embodiment can determine whether an existing implant exists in the affected area among one or more human tissues.

For example, there is no 3D object corresponding to the existing implanted implant in the 3D image information, but only 3D objects (e.g., a and b in Figure 5) corresponding to the patient's unique tissue (e.g., skull, cartilage). When it is determined that the patient is a new patient, the 3D simulation system for plastic surgery consultation and custom implant production according to this embodiment can determine that the patient is a new patient. In this case, the procedure proceeds to step S250.

For example, when there is a 3D object (e.g., c in FIG. 6) corresponding to an existing implanted implant in the 3D image information, the 3D simulation system for plastic surgery consultation and custom implant production according to this embodiment is used to can be judged as a reoperation patient. In this case, the procedure proceeds to step S240.

In step S240, the 3D simulation system for plastic surgery consultation and custom implant production according to this embodiment removes a specific 3D object (e.g., c in FIG. 6) corresponding to the existing insert from the 3D image information (FIG. 6). You can.

For example, 3D image information (FIG. 5) may be generated in which a specific 3D object (eg, c in FIG. 6) corresponding to an existing insert is removed from the 3D image information (FIG. 6).

In step S250, the 3D simulation system for plastic surgery consultation and custom implant production according to this embodiment may generate 3D surgical image information that simulates the surgical plan for the patient.

For example, if the surgical plan is determined by moving the position of the cartilage, the 3D simulation system for plastic surgery consultation and custom implant production according to this embodiment generates 3D surgical image information as shown in FIG. 7, which will be described later. It can be implemented to do so.

For example, if the surgical plan is determined by the cutting method for cartilage, the 3D simulation system for plastic surgery consultation and custom implant production according to this embodiment uses 3D surgical image information as shown in FIG. 8, which will be described later. It can be implemented to generate

For example, if the surgical plan is determined by inserting a cartilage replacement for cartilage, the 3D simulation system for plastic surgery consultation and custom implant production according to this embodiment includes 3D surgical image information as shown in FIG. 9, which will be described later. It can be implemented to generate .

In step S260, the 3D simulation system for plastic surgery consultation and custom prosthesis production according to this embodiment may provide a 3D prosthesis design according to 3D surgery image information.

In this case, the 3D prosthesis design is optimized 3D prosthesis information so that the standard prosthesis or customized prosthesis obtained from the prosthesis provision module 150 can better fit the patient's unique human tissue with the 3D surgical image information according to the surgical plan. may include.

For example, when the surgical plan is associated with a standardized standard implant, the 3D simulation system for plastic surgery consultation and custom implant production according to this embodiment is a 3D simulation system associated with the size of the standard implant optimized according to 3D surgery image information. Implant information can be generated.

For example, when the surgical plan is associated with a customized prosthesis, the 3D simulation system for plastic surgery consultation and custom prosthesis production according to this embodiment is a 3D prosthesis associated with size information of the customized prosthesis optimized according to 3D surgical image information. Information can be generated.

In step S270, the 3D simulation system for plastic surgery consultation and custom implant production according to this embodiment may generate simulation image information corresponding to 3D merged image information.

For example, simulation image information may reflect displacement values due to changes in existing human tissue due to insertion of a patient-customized implant.

Ultimately, according to this embodiment, not only can the presence of existing implants in the patient's affected area be identified in advance, but also the surgical procedure is generated using the density value of human tissue based on 3D surgical image information according to the surgical plan. It will be understood that since 3D simulation image information is provided more accurately, more precise actual surgery by medical staff may be possible.

Figure 3 is a diagram for explaining the boundary process of the 3D simulation system for plastic surgery consultation and custom implant production according to this embodiment.

Referring to (a) of FIG. 3, a portion (IMG) of a plurality of medical image images is shown.

Referring to (b) of FIG. 3, a screen (IMG') on which a classification task using density values has been performed on some (IMG) of a plurality of medical image images is shown.

Referring to FIGS. 1 to 3(a), the medical image analysis module (e.g., 110 in FIG. 1) according to this embodiment analyzes each of a plurality of human tissues with respect to a medical image image (e.g., IMG in FIG. 3). Each human tissue can be classified (or tracked) using the corresponding density value (i.e., gray scale value).

In this case, the density value (i.e., gray scale value) corresponding to each of multiple human tissues may be understood as a predetermined value.

For example, when medical image data is input into the 3D simulation system for plastic surgery consultation and custom implant production according to this embodiment, the medical image analysis module (e.g., 110 in FIG. 1) determines a predetermined density value (i.e. , gray scale values) can be used to classify (or track) specific human tissues 61, 63, and 65 as shown in (b) of FIG. 3.

In other words, the medical image analysis module (eg, 110 in FIG. 1) may be implemented to automatically classify (or track) specific human tissues by learning data based on specific density values corresponding to human tissues.

In this case, human tissue classified by the medical image analysis module (e.g., 110 in FIG. 1) may be expressed in different colors depending on the implementation method, as shown in (b) of FIG. 3.

As an example, the density value (ie, gray scale value) of the bone 30 may be predetermined to be 100 to 200 HU. As an example, the density value of the airway (31) may be predetermined to be -100 to -10 HU. As an example, the density value of cartilage 32 may be 0 to 70.

However, the density values corresponding to the above bone 30, airway 31, and cartilage 32 are values introduced as examples to aid understanding of the present specification, and the present specification is not limited to the mentioned density values. Otherwise, it will be understood.

According to this embodiment, it will be understood that human tissue associated with the affected area can be automatically implemented by learning a medical image analysis module (eg, 110 in FIG. 1) based on data classified by density values.

Specifically, when the bone 30 is analyzed based on a plurality of medical image images, the medical image analysis module (e.g., 110 in FIG. 1) provides a density value (i.e., 100 to 200 HU) corresponding to the bone 30. It can be implemented to track all pixel data included in the range. It will be understood that in this process, the volume of human tissue corresponding to the bone 30 can be recognized.

Likewise, when the airway 31 is analyzed based on a plurality of medical image images, the medical image analysis module (e.g., 110 in FIG. 1) provides a density value corresponding to the airway 31 (i.e., -100 to -10 HU) ) can be implemented to track all pixel data included in the range. It will be understood that in this process, the volume of human tissue corresponding to the airway 31 can be recognized.

Likewise, when the cartilage 32 is analyzed based on a plurality of medical image images, the medical image analysis module (e.g., 110 in FIG. 1) determines the density value corresponding to the cartilage 65 (i.e., 0 to 70 HU). It can be implemented to track all values included in the range. It will be understood that in this process, the volume of human tissue corresponding to the cartilage 65 can be recognized.

Figure 4 shows an example of a 3D medical image according to this embodiment.

Referring to FIG. 4, it shows 3D image information 400 generated based on one or more specific tracked human tissues 30, 31, and 32 mentioned in (b) of FIG. 3.

For example, the bone 40 expressed in three dimensions in FIG. 4 may be understood as one 3D object in the 3D image information 400 associated with the bone 30 in (b) of FIG. 3.

Additionally, the airway 41 expressed in three dimensions in FIG. 4 may be understood as one 3D object in the 3D image information 400 associated with the airway 31 in (b) of FIG. 3.

Additionally, the cartilage 42 expressed in three dimensions in FIG. 4 may be understood as one 3D object in the 3D image information 400 associated with the cartilage 32 in (b) of FIG. 3.

Specifically, the 3D image information 400 of FIG. 4 is classified data while performing a threshold operation on multiple medical image images, that is, bone 40, airway 41, and nasal cartilage 42. It will be understood that the image may be implemented as a 3D image including one or more 3D objects generated by integrating the brightness and darkness values associated with the image.

Meanwhile, according to this embodiment, when a medical image is input, each tissue can be classified using the density value corresponding to one or more specific human tissues, and the volume value of one or more specific human tissues can be recognized. It will be understood that it is possible.

Figures 5 and 6 show analysis images of the first surgery patient in the 3D simulation system for plastic surgery consultation and custom implant production according to this embodiment.

Referring to FIGS. 1 to 5, the 3D image information in FIG. 5 is a 3D object (e.g., skull, cartilage) corresponding to the patient's unique tissue (e.g., skull, cartilage) using a density value (gray scale value) corresponding to each human tissue. For example, it may be implemented to include a and b) of FIG. 5.

Referring to FIGS. 1 to 6, the 3D image information in FIG. 6 is a 3D object (e.g., skull, cartilage) corresponding to the patient's unique tissue (e.g., skull, cartilage) using a density value (gray scale value) corresponding to each human tissue. For example, it may be implemented to include a 3D object (e.g., c in FIG. 6 ) corresponding to an existing implanted implant as well as a and b in FIG. 5 .

7 to 9 exemplarily show 3D surgical image information reflecting various surgical plans according to this embodiment.

Referring to FIG. 7, an image (a) before moving the cartilage position within 3D image information and an image (b) after moving the cartilage position are shown as examples by a customized 3D simulation system for surgical patients according to this embodiment. shown as an enemy.

Referring to FIG. 8, an image (a) before cutting bones and cartilage within 3D image information and an image (a) after cutting bones and cartilage within 3D image information by a customized 3D simulation system for surgical patients according to this embodiment. (b) is shown by way of example.

Referring to FIG. 9, an image (a) before inserting the cartilage replacement product into the 3D image and an image (b) after inserting the cartilage replacement product into the 3D image by the customized 3D simulation system for surgical patients according to this embodiment. ) is shown as an example.

In Figure 9, the shape of the cartilage substitute product is shown as a square, but it will be understood that the shape of the cartilage substitute product is not limited to this and may have various shapes depending on the product.

Figure 10 shows an example of a 3D image merged based on 3D prosthesis information designed in a 3D simulation system for plastic surgery consultation and custom prosthesis production according to this embodiment.

Referring to FIGS. 1 to 10, (a) of FIG. 10 is 3D image information including 3D objects (e.g., a and b of FIG. 5) corresponding to the patient's unique tissue (e.g., skull, cartilage) or It can be understood as 3D surgical image information that reflects various surgical plans.

Meanwhile, Figure 10 (b) is generated based on 3D prosthesis information and 3D image information (or 3D surgical image information) associated with the customized prosthesis (e) reflecting the user's (specialist or manufacturing company) requirements information. It can be understood as 3D merged image information.

Figure 11 shows an example of a 3D image merged based on standardized implant information in a 3D simulation system for plastic surgery consultation and custom implant production according to another embodiment of the present invention.

Referring to FIGS. 1 to 11, (a) of FIG. 11 shows various types of standard implants. As described above, in the customized 3D simulation system according to this embodiment, information associated with various types of standard implants may be built in advance in the form of a library.

Additionally, a specific implant may be selected from among standard implants standardized in a library form, considering the user's requirements, etc.

Meanwhile, Figure 11 (b) can be understood as 3D merged image information generated based on 3D implant information and 3D image information (or 3D surgical image information) associated with a specific implant (f) selected from among standardized standard implants. there is.

Figure 12 is an example showing an example of a 3D simulation screen before and after surgery in a customized 3D simulation system for surgery patients according to this embodiment.

Referring to Figures 1 to 12, Figure 12(a) shows the patient's nose before surgery, and Figure 12(b) shows the patient's nose after custom implant insertion.

According to this embodiment, as shown in (b) of FIG. 12, simulation information reflecting displacement values according to changes in existing human tissue can be provided by insertion of a customized implant. Accordingly, the customized 3D simulation system for surgical patients according to this embodiment not only facilitates maintaining trust and mutual communication with patients, but also allows users (specialists) to plan more accurate surgeries.

Although specific embodiments have been described in the detailed description of the present specification, various modifications are possible without departing from the scope of the present specification. Therefore, the scope of the present specification should not be limited to the above-described embodiments, but should be determined by the claims and equivalents of this invention as well as the later-described claims.

100: 3D simulation system
110: Medical image analysis module
120: Judgment module
130: Adjustment and measurement module
140: Surgery planning module
150: Implant provision module
160: Simulation module

Claims (10)

In the method of operating a 3D simulation system for plastic surgery consultation and custom implant production,
Generating 3D image information including one or more 3D objects corresponding to one or more human tissues associated with the affected part of the patient using one or more preset boundary values based on a plurality of medical image images;
determining whether an existing insert exists within the affected area among the one or more human tissues;
Generating 3D surgical image information that simulates a surgical plan for the patient based on the judgment;
generating 3D prosthesis information for the patient based on the 3D surgical image information;
generating 3D merged image information based on the 3D surgical image information and the 3D prosthesis information; and
A method comprising generating simulation image information corresponding to the 3D merged image information. According to claim 1,
When it is determined that the existing insert exists, the 3D surgical image information is generated based on 3D image information from which a specific 3D object corresponding to the existing insert is previously removed. According to claim 1,
The one or more human tissues are pre-selected by the user, and
When it is determined that the existing implant does not exist, the 3D surgical image information is generated based on the 3D image information including the one or more 3D objects corresponding to the one or more human tissues. According to claim 1,
When the surgical plan is associated with a standardized standard prosthesis, the 3D prosthesis information includes size information of the standard prosthesis optimized according to the 3D surgical image information. According to claim 1,
When the surgical plan is associated with a customized prosthesis, the 3D prosthesis information includes size information of the customized prosthesis optimized according to the 3D surgical image information. A medical image analysis module that generates 3D image information including one or more 3D objects corresponding to one or more human tissues associated with the affected part of the patient using one or more preset boundary values based on a plurality of medical image images;
a determination module that determines whether an existing implant exists within the affected area among the one or more human tissues;
a surgical planning module that generates 3D surgical image information that simulates a surgical plan for the patient based on the judgment;
a prosthesis providing module that generates 3D prosthesis information for the patient based on the 3D surgical image information; and
A 3D simulation system for plastic surgery consultation and custom implant production, including a simulation module that generates simulation image information corresponding to the 3D surgery image information and 3D merged image information generated based on the 3D implant information. According to clause 6,
When it is determined that the existing implant exists, the 3D surgical image information is generated based on 3D image information from which a specific 3D object corresponding to the existing implant has been previously removed. A 3D simulation system for plastic surgery consultation and custom prosthesis production. . According to clause 6,
The one or more human tissues are pre-selected by the user, and
When it is determined that the existing implant does not exist, the 3D surgical image information is generated based on the 3D image information including the one or more 3D objects corresponding to the one or more human tissues, plastic surgery consultation and custom prosthesis production. 3D simulation system for. According to clause 6,
When the surgical plan is associated with a standardized standard prosthesis, the 3D prosthesis information is implemented to include size information of the standard prosthesis optimized according to the 3D surgical image information, 3D simulation for plastic surgery consultation and custom prosthesis production system. According to clause 6,
When the surgical plan is associated with a customized prosthesis, the 3D prosthesis information is implemented to include size information of the customized prosthesis optimized according to the 3D surgical image information. A 3D simulation system for plastic surgery consultation and custom prosthesis production.