CN108269294B - Oral CBCT image information analysis method and system - Google Patents
Oral CBCT image information analysis method and system Download PDFInfo
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- 210000000988 bone and bone Anatomy 0.000 claims abstract description 31
- 230000010354 integration Effects 0.000 claims abstract description 16
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- 108010048734 sclerotin Proteins 0.000 claims description 8
- 238000009966 trimming Methods 0.000 claims description 8
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06T11/005—Specific pre-processing for tomographic reconstruction, e.g. calibration, source positioning, rebinning, scatter correction, retrospective gating
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/003—Reconstruction from projections, e.g. tomography
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Abstract
The invention discloses a method and a system for analyzing oral CBCT image information, wherein the method comprises the following steps: adjusting the distance between the upper jaw and the lower jaw of the oral cavity through a mouth gag, and scanning by using a CBCT scanner to acquire CBCT image information of the oral cavity; and stripping image information of soft tissues and bones in the oral cavity from the CBCT image according to a preset HU value range, and integrating the processed image information of a plurality of oral tissues to obtain the three-dimensional model of the oral cavity. According to the method and the system for analyzing the oral CBCT image information, a plurality of tissues in an oral cavity are stripped from a CBCT image by setting a HU threshold value, image color and edge processing is carried out on the image information of the stripped single tissue, the processed single tissue image is synthesized into a three-dimensional model of the single tissue, the three-dimensional model of the oral cavity containing the plurality of oral tissues is obtained through integration, and the technical effect of constructing and obtaining the complete and clear oral three-dimensional model is achieved.
Description
Technical Field
The invention relates to the technical field of oral CBCT scanning, in particular to a method and a system for analyzing oral CBCT image information.
Background
With the development of medical and health fields in recent years, the application range of CT (computed tomography) scanning technology is becoming wider, and a more accurate CT image of a single tissue organ can be acquired for CT scanning of the single tissue organ.
In the conventional CT scanning technology, due to the limitation of software design, the acquired CT image information can only be used for diagnosis, but cannot be used for information acquisition of oral repair. In the information acquisition of the oral cavity restoration, a silicon rubber hard die is additionally required to meet the actual requirement. Therefore, the CT image information acquisition and analysis method in the prior art cannot acquire image information required for oral repair, and thus cannot truly simulate the internal environment of the oral cavity, and the conventional CT image information analysis processing method has defects.
Accordingly, there is a need for improvements and developments in the art.
Disclosure of Invention
In view of the above disadvantages of the prior art, the present invention aims to provide a method and a system for analyzing oral CBCT image information, which aims to solve the problem that the CBCT image information analysis processing method in the prior art cannot construct a complete and clear oral three-dimensional model.
In order to achieve the purpose, the specific technical scheme is as follows:
a method of oral CBCT image information analysis, wherein the method comprises:
separating gum from soft tissue by a mouth gag, scanning by using a CBCT scanner to obtain oral CBCT image information in an open state, and scanning by using the CBCT scanner to obtain oral CBCT image information in an occlusal state of upper and lower jaws;
integrating the oral CBCT image information in the open state and the oral CBCT image information in the occlusal state of the upper jaw and the lower jaw, processing the CBCT image information according to a preset HU value range, and stripping the image information of soft tissues and bones in the oral cavity from the CBCT image to obtain the image information of the soft tissues and the bones;
carrying out color processing on pixels in the obtained image information of the oral tissues, and trimming the edges of the images of the oral tissues;
and integrating the processed image information of the plurality of oral tissues, and constructing a three-dimensional model to obtain the oral three-dimensional model containing the plurality of oral tissues.
The method for analyzing the oral CBCT image information comprises the following steps of integrating the oral CBCT image information in an opening state and the oral CBCT image information in an upper and lower jaw occlusion state, processing the CBCT image information according to a preset HU value range, stripping the image information of soft tissues and sclerotin in the oral cavity from the CBCT image, and obtaining the image information of the soft tissues and the sclerotin, wherein the steps comprise:
Integrating and correcting the acquired oral CBCT image information in the occlusal state of the upper jaw and the lower jaw and the oral CBCT image information in the open state;
processing the CBCT image information according to a preset HU value range of the air, and removing the air image information contained in the CBCT image information;
processing the CBCT image information according to a preset HU value range of the soft tissue, and stripping to obtain the image information of the soft tissue;
and processing the CBCT image information according to a preset HU value range of the bone, and stripping to obtain the image information of the bone.
The method for analyzing the CBCT image information of the oral cavity comprises the following steps of processing the CBCT image information according to a preset HU value range of soft tissues, and stripping the image information of the soft tissues to obtain the image information of the soft tissues:
processing the CBCT image information according to a preset HU value range of the mucosa in the soft tissue, and stripping to obtain image information of the mucosa in the soft tissue;
and processing the CBCT image information according to the preset HU value range of the cartilage in the soft tissue, and stripping to obtain the image information of the cartilage in the soft tissue.
The method for analyzing oral cavity CBCT image information, wherein the step of performing color processing on pixels in the obtained image information of the plurality of oral cavity tissues and trimming the edges of the images of the plurality of oral cavity tissues comprises:
Calculating to obtain the average gray level of the oral tissue image, and according to a preset color tolerance threshold, performing gray level, contrast, brightness and sharpening degree processing on pixels exceeding the color tolerance threshold of the average gray level to eliminate variegated colors in image information;
and carrying out square structure pixel processing on the image edge of the oral tissue to obtain an oral tissue image with clear edge.
The method for analyzing the oral CBCT image information comprises the following steps of integrating the processed image information of a plurality of oral tissues, constructing a three-dimensional model and obtaining the oral three-dimensional model containing the oral tissues:
integrating the acquired processed image information of the single tissue to construct a three-dimensional model of the single tissue;
and performing three-dimensional integration on the three-dimensional models of the oral tissues to obtain the oral three-dimensional model containing the oral tissues.
A system for oral CBCT image information analysis, wherein the system comprises:
a mouth gag for separating the gum from the soft tissue;
the CBCT scanner is used for scanning and acquiring oral CBCT image information in an open state and oral CBCT image information in a maxillomandibular occlusion state;
The image segmentation processing device is used for integrating the oral CBCT image information in the open state and the oral CBCT image information in the upper and lower jaw occlusion states, processing the CBCT image information according to a preset HU value range, and stripping the image information of soft tissues and bones in the oral cavity from the CBCT image to obtain the image information of the soft tissues and the bones;
an image pixel processing device for performing color processing on pixels in the obtained image information of the plurality of oral tissues and trimming the image edges of the plurality of oral tissues;
and the three-dimensional image integration device is used for integrating the processed image information of the oral tissues and constructing a three-dimensional model to obtain the oral three-dimensional model containing the oral tissues.
The system for analyzing the oral cavity CBCT image information, wherein the image segmentation processing device specifically includes:
the image integration and calibration unit is used for integrating and correcting the acquired oral CBCT image information in the occlusal state of the upper jaw and the lower jaw and the oral CBCT image information in the open state of the upper jaw and the lower jaw;
the air segmentation processing unit is used for processing the CBCT image information according to a preset HU value range of air and removing the air image information contained in the CBCT image information;
The soft tissue segmentation processing unit is used for processing the CBCT image information according to a preset HU value range of the soft tissue and stripping the CBCT image information to obtain image information of the soft tissue;
and the bone segmentation processing unit is used for processing the CBCT image information according to the preset HU value range of the bone and stripping the CBCT image information to obtain the image information of the bone.
The system for analyzing the oral cavity CBCT image information comprises:
the mucosa segmentation processing unit is used for processing the CBCT image information according to a preset HU value range of mucosa in soft tissue and stripping the CBCT image information to obtain image information of the mucosa in the soft tissue;
and the cartilage segmentation processing unit is used for processing the CBCT image information according to the preset HU value range of the cartilage in the soft tissue and stripping the image information to obtain the image information of the cartilage in the soft tissue.
The system for analyzing the oral CBCT image information includes:
the image color processing unit is used for calculating the average gray level of the oral tissue image, and performing gray level, contrast, brightness and sharpening degree processing on pixels exceeding the color tolerance threshold of the average gray level according to a preset color tolerance threshold to eliminate the variegates in the image information;
And the image edge processing unit is used for carrying out square structure pixel processing on the image edge of the oral tissue to obtain an oral tissue image with clear edge.
The system for analyzing the oral CBCT image information comprises a three-dimensional image integration device, wherein the three-dimensional image integration device specifically comprises:
the three-dimensional image synthesis device is used for integrating the acquired processed image information of the single tissue to construct a three-dimensional model of the single tissue;
the three-dimensional model construction device integrates three-dimensional models of a plurality of oral tissues in a three-dimensional manner to obtain the three-dimensional model of the oral cavity containing the plurality of oral tissues.
Has the beneficial effects that:
according to the method and the system for analyzing the oral cavity CBCT image information, provided by the invention, a plurality of tissues in an oral cavity are stripped from the CBCT image information by adopting a set HU threshold value, the image color and the edge of the stripped image information of a single tissue are processed, the processed images of the single tissue are synthesized into a three-dimensional model of the single tissue, and the three-dimensional model of the oral cavity containing the plurality of oral tissues is obtained through integration, so that the technical effect of constructing and obtaining the complete and clear oral cavity three-dimensional model is achieved.
Drawings
Fig. 1 is a flow chart of the method for analyzing the oral CBCT image information according to the present invention.
Fig. 2 is a CBCT image to be processed in the method and system for analyzing oral CBCT image information according to the present invention.
Fig. 3 is a three-dimensional model of the oral cavity obtained by processing in the method and system for analyzing CBCT image information of the oral cavity of the present invention.
Detailed Description
The invention provides a method and a system for analyzing oral CBCT image information, which are further described in detail below in order to make the purpose, technical scheme and effect of the invention clearer and clearer. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
Referring to fig. 1-3, fig. 1 is a flow chart of the method for analyzing the CBCT image information of the oral cavity according to the present invention; FIG. 2 is a CBCT image to be processed in the method and system for analyzing oral CBCT image information according to the present invention; fig. 3 is a three-dimensional model of the oral cavity obtained by processing in the method and system for analyzing oral CBCT image information of the present invention. A method of oral CBCT image information analysis, as described in figure 1, wherein the method comprises a-D.
In the step A in fig. 1, the gum is separated from the soft tissue by the mouth gag, the CBCT scanner is used for scanning to obtain the CBCT image information of the oral cavity, and the CBCT scanner is used for scanning to obtain the CBCT image information of the oral cavity in the occlusion state of the upper and lower jaws. Before utilizing CBCT scanner to scan each tissue in the oral cavity, need separate oral cavity gum and soft tissue earlier to the image that makes CBCT scanner scanning obtain is more clear, accurate, consequently needs to adopt the mouth gag to separate gum and soft tissue, in order to satisfy the demand of actual scanning operation. When the mouth gag is used, a user is in an open state, the CBCT scanner scans oral CBCT image information in the open state, a group of oral CBCT image information in the occlusal state of the upper jaw and the lower jaw needs to be acquired, and the two groups of image information are integrated and corrected, so that the acquired image information is clearer and more complete, and the position relation of each tissue in the acquired three-dimensional model of the oral cavity is more accurate.
In a more specific use process, the cone beam CBCT can be used for image information acquisition, and the helical CT can also be used for image information acquisition, and both acquisition modes can acquire oral CBCT image information.
Step B in fig. 1, the CBCT image information of the oral cavity in the open state and the CBCT image information of the oral cavity in the occlusal state of the upper and lower jaws are integrated, the CBCT image information is processed according to a preset HU value range, and the image information of the soft tissue and bone in the oral cavity is peeled from the CBCT image to obtain the image information of the soft tissue and bone. The oral CBCT image information under the open state and the oral CBCT image information under the occlusal state of the upper jaw and the lower jaw are integrated to obtain clearer and more accurate image information. After the integrated CBCT image information is obtained, a plurality of CTCB images are required to be processed, and the image information of soft tissues and bones in the CBCT image is required to be stripped through a preset HU value. In the specific operation process, the HU value of the bone is set to be 500-1000; the HU value of the soft tissue is set to be between-100 and 500, and the tissue in the oral cavity is specifically distinguished through the HU value.
In step C of fig. 1, color processing is performed on pixels in the obtained image information of the plurality of oral tissues, and edges of the image of the plurality of oral tissues are trimmed. After obtaining the image information of the plurality of oral tissues, it is necessary to process the image information of the plurality of oral tissues, and in this process, it is necessary to perform color processing on pixels of the image to adjust the color of the tissues. In a more specific embodiment, in order to increase the degree of distinction of various tissues of the oral cavity, the color of the oral cavity tissue can be adjusted to be pseudo-color, so that the three-dimensional processing and the observation of the three-dimensional image of the oral cavity at the later stage are facilitated. After color processing is performed on the pixels of the image, the image edge of the oral tissue needs to be trimmed so as to make the image edge of the oral tissue clear and smooth.
In step D in fig. 1, the processed image information of the plurality of oral tissues is integrated, and a three-dimensional model is constructed, so as to obtain an oral three-dimensional model including the plurality of oral tissues. And synthesizing the processed single tissue images into a three-dimensional model of the single tissue, and further integrating the obtained three-dimensional model of the single tissue to obtain the oral cavity three-dimensional model containing a plurality of oral tissues. And then, 3D printing is carried out to obtain a specific oral cavity model by obtaining specific parameters in the oral cavity three-dimensional model, and the artificial tooth design is carried out according to the 3D oral cavity model.
In a more specific embodiment, step B specifically comprises B1-B4.
And B1, integrating and correcting the acquired oral CBCT image information in the occlusal state of the upper jaw and the lower jaw and the oral CBCT image information in the open state. By integrating and correcting the two groups of image information, the obtained image information is clearer and more complete, and the obtained position relation of each tissue in the three-dimensional model of the oral cavity is more accurate.
And B2, processing the CBCT image information according to the preset HU value range of the air, and removing the air image information contained in the CBCT image information. In a specific embodiment, when the HU value is less than-1000, the image information includes air, so that the air image information is removed from the CBCT image information, and the useless air image information does not need to be processed in the subsequent operation process, thereby reducing the calculation amount and speeding up the processing process of the image information.
And B3, processing the CBCT image information according to the preset HU value range of the soft tissue, and stripping to obtain the image information of the soft tissue. And processing the CBCT image after air removal, and acquiring image information of the soft tissue according to a preset HU value range of the soft tissue.
And B4, processing the CBCT image information according to the preset HU value range of the bone, and stripping to obtain the image information of the bone. And processing the CBCT image, and acquiring image information of soft tissues according to a preset HU value range of the bone.
In a more specific embodiment, step B3 specifically includes steps B31-B32.
B31, processing the CBCT image information according to the preset HU value range of the mucosa in the soft tissue, and stripping to obtain the image information of the mucosa in the soft tissue. In order to distinguish each component in the soft tissue, the content of the obtained image information is richer, the components in the soft tissue can be distinguished, and specifically, the HU value range of the mucosa can be set to be-100. B32, processing the CBCT image information according to the preset HU value range of the cartilage in the soft tissue, and stripping to obtain the image information of the cartilage in the soft tissue. Specifically, the HU value of cartilage can be set to be in the range of 100 to 500. By acquiring image information of mucosa and cartilage tissues in soft tissues, richer three-dimensional image information can be provided for denture design.
In a more specific embodiment, step C specifically includes C1-C2.
And C1, calculating to obtain the average gray scale of the oral tissue image, and according to a preset color tolerance threshold, performing gray scale, contrast, brightness and sharpening processing on the pixels exceeding the color tolerance threshold of the average gray scale to eliminate the variegates in the image information. Calculating to obtain the average gray scale of the oral tissue image, for example, calculating to obtain the average gray scale of one oral tissue image as X, and the preset color tolerance threshold value as 30, if pixels with gray scales between X-30 and X + 30 in the image exceed the preset color tolerance threshold value, the pixels exceeding the threshold range need to be processed, and the gray scale, the contrast, the brightness and the sharpening degree of the pixels exceeding the threshold range can be processed until the mixed color in the image information is eliminated. The specific color tolerance threshold may be selected based on the actual requirements and the quality of the acquired image, and the range of the color tolerance threshold may be selected from 1 to 99.
And C2, carrying out square structure pixel processing on the edge of the image of the oral tissue to obtain an oral tissue image with clear edge. In more specific embodiments, the image edge of the oral tissue may be processed by 2 × 2 or 3 × 3 square-structured pixels to make the image edge of the oral tissue clearer.
In a more specific embodiment, step D specifically includes steps D1-D2.
D1, integrating the acquired image information of the single tissue after being processed, and constructing a three-dimensional model of the single tissue. And obtaining information of a plurality of images of a single tissue after processing, integrating the information of the plurality of images, and integrating the 2D image information to obtain a three-dimensional model of the single tissue. The three-dimensional models of mucosa, cartilage and bone can be obtained respectively.
And D2, performing three-dimensional integration on the three-dimensional models of the oral tissues to obtain the three-dimensional oral model containing the oral tissues. And integrating the constructed three-dimensional model of the mucosa, the three-dimensional model of the cartilage and the three-dimensional model of the bone to obtain the three-dimensional model of the oral cavity comprising a plurality of oral tissues. Through the obtained three-dimensional model, complete and clear oral three-dimensional images can be provided for technicians, the technicians can conveniently carry out denture design through the three-dimensional images, the three-dimensional model can be subjected to 3D printing to obtain a 3D oral model, and information of various tissues in the oral cavity can be more accurately provided for the technicians through real objects.
In combination with the above method for analyzing CBCT image information of an oral cavity, the present invention further provides a system for analyzing CBCT image information of an oral cavity, wherein the system includes:
an opener for separating the gum from the soft tissue;
the CBCT scanner is used for scanning and acquiring oral CBCT image information in an open state and oral CBCT image information in a maxillomandibular occlusion state;
the image segmentation processing device is used for integrating the oral CBCT image information in the open state and the oral CBCT image information in the upper and lower jaw occlusion states, processing the CBCT image information according to a preset HU value range, and stripping the image information of soft tissues and bones in the oral cavity from the CBCT image to obtain the image information of the soft tissues and the bones;
an image pixel processing device for performing color processing on pixels in the obtained image information of the plurality of oral tissues and trimming the image edges of the plurality of oral tissues;
and the three-dimensional image integration device is used for integrating the processed image information of the oral tissues and constructing a three-dimensional model to obtain the oral three-dimensional model containing the oral tissues.
In a more specific embodiment, the image segmentation processing apparatus specifically includes:
The image integration calibration unit is used for integrating and correcting the acquired oral CBCT image information in the occlusal state of the upper jaw and the lower jaw and the oral CBCT image information in the open state;
the air segmentation processing unit is used for processing the CBCT image information according to a preset HU value range of air and removing the air image information contained in the CBCT image information;
the soft tissue segmentation processing unit is used for processing the CBCT image information according to a preset HU value range of the soft tissue and stripping the CBCT image information to obtain image information of the soft tissue;
and the bone segmentation processing unit is used for processing the CBCT image information according to the preset HU value range of the bone and stripping the CBCT image information to obtain the image information of the bone.
In a more specific embodiment, the soft tissue segmentation processing unit specifically includes:
the mucosa segmentation processing unit is used for processing the CBCT image information according to a preset HU value range of mucosa in soft tissue and stripping the CBCT image information to obtain image information of the mucosa in the soft tissue;
and the cartilage segmentation processing unit is used for processing the CBCT image information according to the preset HU value range of the cartilage in the soft tissue and stripping the image information to obtain the image information of the cartilage in the soft tissue.
In a more specific embodiment, the image pixel processing apparatus specifically includes:
The image color processing unit is used for calculating the average gray level of the oral tissue image, and performing gray level, contrast, brightness and sharpening degree processing on pixels exceeding the color tolerance threshold of the average gray level according to a preset color tolerance threshold to eliminate the variegates in the image information;
and the image edge processing unit is used for carrying out square structure pixel processing on the image edge of the oral tissue to obtain an oral tissue image with clear edge.
In a more specific embodiment, the three-dimensional image integration apparatus specifically includes:
the three-dimensional image synthesis device is used for integrating the acquired processed image information of the single tissue to construct a three-dimensional model of the single tissue;
the three-dimensional model construction device integrates three-dimensional models of a plurality of oral tissues in a three-dimensional manner to obtain the three-dimensional model of the oral cavity containing the plurality of oral tissues.
In summary, the invention discloses a method and a system for oral CBCT image information analysis, wherein the method comprises the following steps: adjusting the distance between the upper jaw and the lower jaw of the oral cavity through a mouth gag, and scanning by using a CBCT scanner to acquire CBCT image information of the oral cavity; processing the CBCT image information according to a preset HU value range, and stripping image information of soft tissues and sclerotin in the oral cavity from the CBCT image to obtain image information of the soft tissues and the sclerotin; carrying out color processing on pixels in the obtained image information of the oral tissues, and trimming the edges of the images of the oral tissues; and integrating the processed image information of the plurality of oral tissues, and constructing a three-dimensional model to obtain the oral three-dimensional model containing the plurality of oral tissues. According to the method and the system for analyzing the oral cavity CBCT image information, provided by the invention, a plurality of tissues in an oral cavity are stripped from the CBCT image information by adopting a set HU threshold value, the image color and the edge of the stripped image information of a single tissue are processed, the processed images of the single tissue are synthesized into a three-dimensional model of the single tissue, and the three-dimensional model of the oral cavity containing the plurality of oral tissues is obtained through integration, so that the technical effect of constructing and obtaining the complete and clear oral cavity three-dimensional model is achieved.
It will be understood that the invention is not limited to the examples described above, but that modifications and variations will occur to those skilled in the art in light of the above teachings, and that all such modifications and variations are considered to be within the scope of the invention as defined by the appended claims.
Claims (6)
1. A method of CBCT image information analysis of an oral cavity, the method comprising:
separating gum from soft tissue by a mouth gag, scanning by using a CBCT scanner to acquire oral CBCT image information in an open state, and scanning by using the CBCT scanner to acquire oral CBCT image information in a jaw occlusion state;
integrating images of oral cavity CBCT image information in an opening state and oral cavity CBCT image information in an occlusal state of upper and lower jaws, integrating and correcting two groups of image information to enable the obtained image information to be clear and complete, obtaining accurate position relation of each tissue in the oral cavity three-dimensional model, processing the CBCT image information according to a preset HU value range, and stripping the image information of soft tissues and sclerotin in the oral cavity from the CBCT image to obtain the image information of the soft tissues and the sclerotin;
carrying out color processing on pixels in the obtained image information of the oral tissues, and trimming the edges of the images of the oral tissues;
Integrating the processed image information of the plurality of oral tissues, and constructing a three-dimensional model to obtain an oral three-dimensional model containing the plurality of oral tissues;
the step of performing color processing on pixels in the obtained image information of the plurality of oral tissues and trimming the edges of the images of the plurality of oral tissues comprises:
adjusting the color of the oral tissue to be pseudo color, calculating to obtain the average gray scale of the oral tissue image, and according to a preset color tolerance threshold, performing gray scale, contrast, brightness and sharpening degree processing on pixels exceeding the color tolerance threshold of the average gray scale to eliminate the variegates in the image information;
performing square structure pixel processing on the image edge of the oral tissue to obtain an oral tissue image with clear edge;
the step of integrating the processed image information of the plurality of oral tissues and constructing a three-dimensional model to obtain the oral three-dimensional model containing the plurality of oral tissues comprises the following steps:
integrating the acquired processed image information of the single tissue to construct a three-dimensional model of the single tissue;
and performing three-dimensional integration on the three-dimensional models of the oral tissues to obtain the three-dimensional oral model containing the oral tissues.
2. The method for analyzing the CBCT image information of the oral cavity according to claim 1, wherein the step of integrating the CBCT image information of the oral cavity in the open state and the CBCT image information of the oral cavity in the occlusal state of the upper and lower jaws, processing the CBCT image information according to a preset HU value range, and obtaining the image information of the soft tissue and the bone substance by peeling the image information of the soft tissue and the bone substance in the oral cavity from the CBCT image comprises:
integrating and correcting the acquired oral CBCT image information in the occlusal state of the upper jaw and the lower jaw and the oral CBCT image information in the open state;
processing the CBCT image information according to a preset HU value range of the air, and removing the air image information contained in the CBCT image information;
processing the CBCT image information according to a preset HU value range of the soft tissue, and stripping to obtain the image information of the soft tissue;
and processing the CBCT image information according to a preset HU value range of the bone, and stripping to obtain the image information of the bone.
3. The method for analyzing CBCT image information of oral cavity according to claim 2, wherein the step of processing CBCT image information according to the preset HU value range of soft tissue, and the step of obtaining soft tissue image information by peeling comprises:
Processing the CBCT image information according to a preset HU value range of the mucosa in the soft tissue, and stripping to obtain image information of the mucosa in the soft tissue;
and processing the CBCT image information according to the preset HU value range of the cartilage in the soft tissue, and stripping to obtain the image information of the cartilage in the soft tissue.
4. A system for CBCT image information analysis of an oral cavity, the system comprising:
an opener for separating the gum from the soft tissue;
the CBCT scanner is used for scanning and acquiring oral CBCT image information in an open state and oral CBCT image information in a maxillomandibular occlusion state;
the image segmentation processing device is used for integrating images of oral cavity CBCT image information in an opening state and oral cavity CBCT image information in an occlusal state of upper and lower jaws, integrating and correcting the two groups of image information to ensure that the obtained image information is clear and complete, the position relation of each tissue in the obtained three-dimensional oral cavity model is accurate, processing the CBCT image information according to a preset HU value range, and stripping the image information of soft tissues and sclerotin in the oral cavity from the CBCT image to obtain the image information of the soft tissues and the sclerotin;
an image pixel processing device for performing color processing on pixels in the obtained image information of the plurality of oral tissues and trimming the edges of the images of the plurality of oral tissues;
The three-dimensional image integration device is used for integrating the processed image information of the oral tissues and constructing a three-dimensional model to obtain the oral three-dimensional model containing the oral tissues;
the image pixel processing apparatus specifically includes:
the image color processing unit is used for adjusting the color of the oral tissue to be pseudo color, calculating to obtain the average gray scale of the oral tissue image, and performing gray scale, contrast, brightness and sharpening degree processing on pixels exceeding the color tolerance threshold of the average gray scale according to a preset color tolerance threshold to eliminate the variegated color in the image information;
the image edge processing unit is used for carrying out square structure pixel processing on the image edge of the oral tissue to obtain an oral tissue image with clear edge;
the three-dimensional image integration device specifically comprises:
the three-dimensional image synthesis device is used for integrating the acquired processed image information of the single tissue to construct a three-dimensional model of the single tissue;
the three-dimensional model construction device integrates the three-dimensional models of the oral tissues in a three-dimensional manner to obtain the oral three-dimensional model containing the oral tissues.
5. The system for CBCT image information analysis of the oral cavity according to claim 4, wherein the image segmentation processing device specifically comprises:
The image integration calibration unit is used for integrating and correcting the acquired oral CBCT image information in the occlusal state of the upper jaw and the lower jaw and the oral CBCT image information in the open state;
the air segmentation processing unit is used for processing the CBCT image information according to a preset HU value range of air and removing the air image information contained in the CBCT image information;
the soft tissue segmentation processing unit is used for processing the CBCT image information according to a preset HU value range of the soft tissue and stripping the CBCT image information to obtain image information of the soft tissue;
and the bone segmentation processing unit is used for processing the CBCT image information according to the preset HU value range of the bone and stripping the CBCT image information to obtain the image information of the bone.
6. The system for CBCT image information analysis of the oral cavity according to claim 5, wherein the soft tissue segmentation processing unit comprises:
the mucosa segmentation processing unit is used for processing the CBCT image information according to a preset HU value range of mucosa in soft tissue and stripping the CBCT image information to obtain image information of the mucosa in the soft tissue;
and the cartilage segmentation processing unit is used for processing the CBCT image information according to the preset HU value range of the cartilage in the soft tissue and stripping the image information to obtain the image information of the cartilage in the soft tissue.
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