CN113781637A - Method for establishing upper respiratory tract-tracheal tree combined model based on three-dimensional reconstruction - Google Patents
Method for establishing upper respiratory tract-tracheal tree combined model based on three-dimensional reconstruction Download PDFInfo
- Publication number
- CN113781637A CN113781637A CN202111087452.4A CN202111087452A CN113781637A CN 113781637 A CN113781637 A CN 113781637A CN 202111087452 A CN202111087452 A CN 202111087452A CN 113781637 A CN113781637 A CN 113781637A
- Authority
- CN
- China
- Prior art keywords
- respiratory tract
- trachea
- model
- bronchus
- dimensional reconstruction
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 38
- 230000000241 respiratory effect Effects 0.000 title claims abstract description 14
- 210000002345 respiratory system Anatomy 0.000 claims abstract description 37
- 210000000621 bronchi Anatomy 0.000 claims abstract description 21
- 210000000214 mouth Anatomy 0.000 claims abstract description 16
- 210000003800 pharynx Anatomy 0.000 claims abstract description 13
- 210000003928 nasal cavity Anatomy 0.000 claims abstract description 12
- 210000003437 trachea Anatomy 0.000 claims description 16
- 230000008569 process Effects 0.000 claims description 8
- 238000009499 grossing Methods 0.000 claims description 6
- 238000000605 extraction Methods 0.000 claims description 3
- 238000013334 tissue model Methods 0.000 claims description 3
- 230000008520 organization Effects 0.000 claims description 2
- 230000011218 segmentation Effects 0.000 claims 2
- 210000001519 tissue Anatomy 0.000 abstract description 14
- 210000003685 cricoid cartilage Anatomy 0.000 abstract 1
- 210000002409 epiglottis Anatomy 0.000 abstract 1
- 210000001983 hard palate Anatomy 0.000 abstract 1
- 201000000615 hard palate cancer Diseases 0.000 abstract 1
- 210000003695 paranasal sinus Anatomy 0.000 abstract 1
- 210000001584 soft palate Anatomy 0.000 abstract 1
- 210000000534 thyroid cartilage Anatomy 0.000 abstract 1
- 239000000443 aerosol Substances 0.000 description 11
- 230000008021 deposition Effects 0.000 description 9
- 239000003814 drug Substances 0.000 description 6
- 229940079593 drug Drugs 0.000 description 6
- 238000002591 computed tomography Methods 0.000 description 5
- 230000008439 repair process Effects 0.000 description 5
- 238000010276 construction Methods 0.000 description 4
- 238000003384 imaging method Methods 0.000 description 4
- 208000019693 Lung disease Diseases 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 210000003484 anatomy Anatomy 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000002059 diagnostic imaging Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 210000004072 lung Anatomy 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000012216 screening Methods 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 206010073310 Occupational exposures Diseases 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000013170 computed tomography imaging Methods 0.000 description 1
- 239000000356 contaminant Substances 0.000 description 1
- 238000013075 data extraction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000008020 evaporation Effects 0.000 description 1
- 238000001704 evaporation Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 208000037841 lung tumor Diseases 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 210000003205 muscle Anatomy 0.000 description 1
- 238000002663 nebulization Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 230000001766 physiological effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000002685 pulmonary effect Effects 0.000 description 1
- 230000001172 regenerating effect Effects 0.000 description 1
- 230000008929 regeneration Effects 0.000 description 1
- 238000011069 regeneration method Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000029058 respiratory gaseous exchange Effects 0.000 description 1
- 208000023504 respiratory system disease Diseases 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10081—Computed x-ray tomography [CT]
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Software Systems (AREA)
- Geometry (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Computer Graphics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Apparatus For Radiation Diagnosis (AREA)
Abstract
The invention discloses a method for establishing an upper respiratory tract-trachea tree combined model based on three-dimensional reconstruction, which belongs to the technical field of respiratory tract three-dimensional reconstruction. A threshold method developed by software and a region growing function are applied, and a human body target region mask is drawn by manual correction in combination with anatomical features; dividing human respiratory tract tissues: the nasal cavity comprises nasal vestibule, olfactory region and paranasal sinus; the oral cavity comprises two lips, two cheeks, a hard palate, a soft palate and other areas; the throat comprises areas such as epiglottis, thyroid cartilage and cricoid cartilage; the trachea-bronchus comprises the main bronchus to the bronchus area of 6-level airways, and a human upper respiratory tract-trachea tree combined model is reconstructed on the basis. The human upper respiratory tract-trachea tree combined model created by the establishing method has the characteristics of individuation, real arrangement structure close to the human body and the like.
Description
Technical Field
The invention belongs to the technical field of respiratory tract three-dimensional reconstruction, and particularly relates to a method for establishing an upper respiratory tract-tracheal tree combined model based on three-dimensional reconstruction.
Background
According to epidemiological and clinical studies, most lung diseases are associated with occupational and environmental exposure to environmental aerosol contaminants. Inhalation of medicinal aerosols is a modern approach to the targeted treatment of lung tumors and to combat respiratory diseases. Obviously, truly effectively simulating the laws of pulmonary aerosol dynamics can provide an important reference for the laws of deposition of detoxifying particles and the treatment of related pulmonary diseases. But limited by the restriction of the current computing resources, the transient three-dimensional flow field after all 23-level bronchus inhales the aerosol cannot be simulated. Therefore, simplified depositional prediction models that meet specific modeling requirements are often employed, such as symmetric binary lung models, single-branch and multi-branch lung models. Simplified depositional prediction models are widely adopted due to their ease of implementation and low requirements for computational resources. However, the calculation result of the method based on the simple entry condition and the deposition mechanism semi-analysis correlation is not reliable. In addition, such simple deposition prediction models have difficulty accounting for complex physical processes such as drug evaporation or aggregation, aerosol nebulization respiratory tissue interactions, and the like. Therefore, it is difficult to predict the delivery deposition of a drug aerosol in the respiratory tract by this method. The CFD technology can accurately predict the deposition rule of the medicinal aerosol on the respiratory tract, which is crucial to the principle design of an inhalation medicinal aerosol device, so that the construction of an upper respiratory tract-tracheal tree combined model suitable for simulating the CFD medicinal deposition is very necessary.
Disclosure of Invention
In view of the above defects or improvement needs of the prior art, the present invention provides a method for building an upper airway-airway tree combination model based on three-dimensional reconstruction, thereby solving the technical problem that the prior simplified deposition prediction model is difficult to predict the delivery deposition rule of a drug aerosol in the airway.
To achieve the above object, according to one aspect of the present invention, there is provided a method for building an upper airway-airway tree combined model based on three-dimensional reconstruction, the method comprising the steps of:
step 1, acquiring respiratory tract image data of a human body by using a medical imaging instrument, and storing the respiratory tract image data in a Dicom format;
step 2, importing the human respiratory tract image data obtained in the step 1 into a Mimics software for recognition and storage, and generating a mcs file recognized by a computer;
step 3, determining the gray value ranges of the nasal cavity, the oral cavity and the throat in the Mimics software to generate Mask masks, deleting redundant irrelevant tissues through Edit masks, extracting three-dimensional digital models of the nasal cavity, the oral cavity and the throat, and converting the three-dimensional digital models into STL format files for storage;
step 4, identifying the trachea and bronchus models in the Mimics software through air search, converting the trachea and bronchus models into STL format files and storing the STL format files;
step 5, respectively introducing the three-dimensional digital models of the nasal cavity, the oral cavity and the laryngeal tube and the three-dimensional digital models of the trachea and the bronchus generated in the step 3 and the step 4 into Geomagic Studio software for smoothing the models;
and 6, combining the three-dimensional digital models of the nasal cavity, the oral cavity and the laryngeal tube after the smoothing treatment with the three-dimensional digital models of the trachea and the bronchus to generate a complete respiratory tract model, and generating a NURBS curved surface model through an accurate curved surface function.
Preferably, in the step 1, in the process of acquiring the respiratory tract image data of the human body by using the medical imaging instrument, the acquired human body is in a supine lying position, and the half-open state of the oral cavity is kept so as to keep the airway smooth.
Preferably, the step 3 further includes determining a template window range of the selected extraction part by drawing a line through a Profile line instruction in the mics software, and roughly dividing the target region by a reuse region growing and dynamic region growing algorithm in the mics software.
Preferably, the step 3 further includes roughly dividing the target region by a reuse region growing and dynamic region growing algorithm in the mics software through a square-block organization average routing window range by a Measure sensitivity instruction in the mics software.
Preferably, the step 4 specifically includes clicking an air search function, selecting a weak noise influence, drawing lines below the throat pipe and along the axis of the trachea to the left and right branches of the lower bronchus, respectively, identifying the model of the outlet duct and the model of the bronchus, and forming the STL format file.
Preferably, in the step 4, after the model of the trachea and the bronchus is formed, whether a redundant tissue model is identified needs to be observed; if yes, regenerating the trachea and bronchus models again; if not, the step 5 is entered.
Preferably, the smoothing process in step 5 comprises repairing and checking the three-dimensional digital model of nasal cavity, oral cavity and throat tube and the three-dimensional digital model of trachea and bronchus for the existence of spikes and broken triangular patches, and confirming whether the model has geometric problems.
Preferably, the method for merging the three-dimensional digital models in step 6 includes splicing the lower part of the laryngeal tube of the upper respiratory tract and the starting part of the bronchus, making a complete respiratory tract model, and creating the NURBS curved surface model by using a process of editing contour lines, creating curved planes, constructing grids and constructing curved sheets.
In general, compared with the prior art, the upper respiratory tract-tracheal tree combined model which is constructed by the method and is suitable for CFD simulated drug deposition can be used for simulating the research of the dynamics rule of aerosol drugs in respiratory tracts, and provides help for the principle design of a device for inhaling the drug aerosol.
Drawings
FIG. 1 is a flow chart of the method for building the upper airway-airway tree combined model based on three-dimensional reconstruction according to the present invention;
FIG. 2 is a side view of a nasal-oral-laryngeal model created using the creation method of the present invention;
FIG. 3 is a front view of a tracheo-bronchial model created using the creation method of the invention;
fig. 4 is a front view of the upper airway-airway tree combination model created using the creation method of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Referring to fig. 1-4, the present invention provides a method for building an upper airway-airway tree combination model based on three-dimensional reconstruction, the method comprising the following steps:
s1, CT scan: the human body is made to be in a lying posture, the respiratory tract part of the human body is scanned under the condition that the CT scanning layer thickness is 0.625mm, medical image data is obtained, and then a three-dimensional imaging working platform is used for screening out shot images to form a DICOM file.
Specifically, complete high-definition respiratory system scanning data is needed in the step, accurate scanning images are very important for data image processing, images need to be kept clear when CT and MRI are enhanced, human physiological activities are reduced, stable respiratory motion is mainly kept, interference factors such as equipment noise and spots are reduced, the thickness of a respiratory tract CT scanning layer is 0.625mm, complete and comprehensive imaging is carried out on an observation part by the enhanced CT scanning, and the clear respiratory tract part is displayed. When shooting, the human body is required to be in a lying position, the oral cavity keeps a half-open state, breathing air is stable, and the tongue is positioned below the oral cavity. And after the state is adjusted, performing CT scanning to obtain image data. And screening the images by using a three-dimensional modeling working platform to form a DICOM file.
S2, extracting data: exporting the DICOM format file obtained by scanning in the step 1, identifying and storing the DICOM format file by using a Mimics file to form an mcs file.
Specifically, the data extraction method mainly includes the steps that original medical image data of CT are brought into the Mimics software through a DICOM file format, the original medical image data are stored as mcs files recognized by the Mimics, the number of picture layers of a target region is extracted through the extracted data, all CT information of a target part is included, and extraction can be carried out according to the corresponding CT layers to improve efficiency.
S3, creating a mask: DICOM data are processed in the Mimics software, the gray value threshold of an upper respiratory tract (a nasal cavity, an oral cavity and a throat) is determined according to the imaging principle of CT, and a Mask file (Mask) of upper respiratory tract tissues is established.
Specifically, after the image data is successfully imported and extracted, the target area needs to be subjected to gray positioning. Because the density of each tissue of the human body is different, the corresponding gray value is different. And determining a reasonable gray value range of the target area, and clicking 'New masks' to establish a mask of the upper respiratory tract.
S4, mask finishing: the mask created in the step 3 has the problems of cavity structure, selection of redundant irrelevant tissues or fuzzy boundary and the like, and the problems are repaired by using the Edit masks function, so that the image only has a structure template of an upper respiratory tract.
Specifically, the gray value region formed in the step of "creating a mask" may have redundant extraneous tissues, and due to the difference between the physiological structures of the human body in exhalation and inhalation, some tissues may not present a complete body, so that a cavity is formed or the redundant extraneous tissues are identified by the mask. For this, repair is required, and the criteria for repair are: repairing the models according to medical anatomy knowledge, wherein no other interference factors exist among the models; meanwhile, the boundaries of the unrelated tissues and the interested part need to be separated layer by layer, and the interested part is reserved.
To explain further, the interference factors are deleted: the densities of different tissues have crossed view window ranges, the tissue structures of muscle and fat tissues in similar areas on the same layer are mutually crossed, tissues such as the anterior fossa cranii, teeth and the like are mainly removed, and the template image contains unnecessary structures due to the fact that the view window ranges are mutually crossed; 1. deleting the unnecessary template part by using a 'Crop Mask' instruction of Mimics software through defining a range; 2. the three-dimensional generated by the command of 'call polylines' is used for manually drawing out the range which is not needed and deleting the unnecessary part.
S5, creating a 3D model of the upper airway: and (3) establishing an upper respiratory tract model displayed by a mask by using 'Calcualte Parts' in the Mimics software.
Specifically, after a structural template of the upper respiratory tract is obtained, a function of 'call part' is selected in a Mask file to which the upper respiratory tract belongs, and an 'Optimal' type is selected in a subsequently displayed command box to generate the 3D model. When selecting the production quality, there are 5 types "Low, Medium, High, Optimal, Custom", respectively. The appropriate reasonable generation quality model is selected by combining the configuration of a computer, and the model generated by the Low type has poor quality and is not selected generally. We use the "Optimal" type. After the model is generated, whether the 3D structure of the model has holes or not is carefully checked according to the anatomical structure and knowledge.
S6, creating a trachea-bronchus model: the lower respiratory tract model is identified by using the air segment in the Mimics software, and whether redundant tissue models are identified or not is observed after the models are formed. If so, regeneration is again performed.
Specifically, the critical positions of the throat and the lower respiratory tract need to be determined, and the fact that the pipe diameter is suddenly reduced when the throat changes to the lower respiratory tract can be found from top to bottom by rotating the roller in the coronal view of the Mimics. And clicking an air segment command in the Mimics software by taking the suddenly changed pipe diameter as a critical point to display an air segment command frame, selecting a Noise flag and adjusting the strength. This is to identify more branches of the airway tree when generating the model, and to determine and select "Noise flag" or "No Noise flag" according to the user's own needs. Because the enhanced CT contrast can only identify the 6 th branch of the trachea tree at the highest level, the imaging quality can be influenced by the difference between individuals and the shooting condition. Therefore, not every CT image can be identified by the Mimics software to the 6 th generation tracheal tree branch. Therefore, in the case of reconstruction, multiple iterations of the generation of the lower respiratory tract are required.
Further, clicking a 'Draw' command, drawing a line at the start of the lower respiratory tract as a start line, finding the bifurcation of the left and right tracheal trees, drawing a line as an end line to determine the range of the good respiratory tract, and clicking a 'Calcualte Parts' command to generate a lower respiratory tract model. After the lower airway model is generated, the branches of the lower airway need to be observed. If the branch has redundant small triangular face blocks to be deleted, and meanwhile, the longer branch has no redundant branch to come out, the longer branch needs to be cut. This is because the Mimics software did not identify or branches that were not of good quality for CT imaging could not be identified.
S7, creating NURBS model: and importing the model file in stl format into Geomagic studio, and repairing and checking the nail and the damaged triangular patch existing in the model. And when the model to be confirmed has no geometrical problem, creating the NURBS model by using the function of the accurate surface.
In particular, in the polygon stage, due to the fact that the surface model has detail problems such as nails and noise, the surface reconstruction quality of the model is affected. The surface smoothing and optimization modification of the mesh problem for all triangular patches is required so that triangular patches with a smooth and perfect configuration can be obtained. And importing the STL format file of the surface model into Geomagic17.0 software, wherein a grid doctor module in the software can automatically detect the quantity and quality of the triangular patches and repair the triangular patches. Because the automatic detection of the grid doctor can only repair part of the triangular patch, each detail of the model needs to be manually checked again. Clicking 'carving' to delete the nail and reduce the material command to repair the detail problem.
Furthermore, the repaired surface model is transferred to a curved surface generation process, the curved surface is slightly complex in structure, and the processes of editing and connecting contour lines, improving tube bundles, creating a curved surface sheet, repairing and reducing the curved surface sheet, and creating and optimizing a grating until the curved surface is generated are needed. Firstly, the curvature is probed, and the command can automatically construct a connecting line according to the curvature of the model to obtain the dividing position of the connected patch. Then, the size of the curved surface is adjusted by a contour line editing method, and the overlapping of an intersecting path and a surface patch is avoided. And selecting a lifting constraint command, and adjusting local curvature lines or points to finish the upgrade of the contour line. And secondly, constructing a curved surface patch, and selecting and automatically estimating the number of the surface patches and the intersection of the inspection path according to a 'construct the curved surface patch' command to complete the construction of the curved surface patch. After the construction of the curved surface patch is completed, the curved surface patch with problems is detected by using an automatic inspection function. The curved surface sheet of the part is loosened, so that the curved surface distribution of the model is complete and attractive, and the corner information is kept. The click construct grid command divides each surface into smaller surface patches to enable subsequent meshing to be divided into more detailed corner information. The control points of the NURBS surface will follow the setting of the grid.
And finally, fitting the curved surface, creating a NUBRS curved surface by the system based on the grating on the panel, and compressing the data point quantity of each curved surface sheet in an adaptive mode. After the surface fitting construction is completed, the NUBRS surface has also been generated. And checking the deviation between the generated surface model and the original model by utilizing deviation analysis, and if the deviation is more than 0.8, editing the contour line again to construct the surface sheet.
It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (8)
1. A method for establishing an upper respiratory tract-tracheal tree combined model based on three-dimensional reconstruction is characterized by comprising the following steps:
step 1, collecting respiratory tract image data of a human body;
step 2, identifying respiratory tract image data, determining gray value ranges of the nasal cavity, the oral cavity and the throat, generating a Mask, deleting redundant irrelevant tissues, and extracting three-dimensional digital models of the nasal cavity, the oral cavity and the throat;
step 3, identifying the respiratory tract image data and generating a three-dimensional digital model of the trachea and the bronchus;
and 4, respectively smoothing the generated three-dimensional digital models of the nasal cavity, the oral cavity and the throat and the three-dimensional digital models of the trachea and the bronchus, and combining the smoothed three-dimensional digital models of the nasal cavity, the oral cavity and the throat with the three-dimensional digital models of the trachea and the bronchus to generate a complete respiratory tract model.
2. The method for building the upper airway-tracheal tree combined model based on three-dimensional reconstruction as claimed in claim 1, wherein the data collected in step 1 is taken for the human body to lie on the back and the respiratory tract influence data in the half-open state of the oral cavity is maintained.
3. The method for building the upper airway-airway tree combination model based on three-dimensional reconstruction as claimed in claim 1, wherein the step 2 further comprises determining a template window range for selecting the extraction site, and performing coarse segmentation on the target region by using a region growing and dynamic region growing algorithm.
4. The method as claimed in claim 1, wherein the step 2 further comprises performing coarse segmentation on the target region by using a region growing and dynamic region growing algorithm through a block organization average rule finding window range.
5. The method for building the upper respiratory tract-trachea tree combined model based on three-dimensional reconstruction as claimed in claim 1, wherein the step 3 of identifying the respiratory tract image data specifically comprises selecting weak noise influence, drawing lines below the laryngeal tube and along the trachea axis to the left and right branches of the lower bronchus respectively, and identifying the air outlet tube and the bronchus model.
6. The method for building the upper respiratory tract-trachea tree combined model based on three-dimensional reconstruction as claimed in claim 5, wherein in the step 3, after the trachea and bronchus model is formed, whether the redundant tissue model is identified is judged; if yes, generating the trachea and bronchus models again; and if not, entering the step 4.
7. The method for building the upper respiratory tract-trachea tree combined model based on three-dimensional reconstruction as claimed in claim 1, wherein the smoothing process in step 4 comprises repairing and checking the three-dimensional digital model of nasal cavity, oral cavity and throat and the three-dimensional digital model of trachea and bronchus for the existence of spikes and broken triangular patches, and confirming whether the model has geometric problems.
8. The method for building the upper airway-airway tree combined model based on three-dimensional reconstruction as claimed in claim 1, wherein the method for merging the three-dimensional digital models in step 4 includes splicing the lower part of the laryngeal tube of the upper airway and the start part of the bronchial tube, making a complete airway model and creating a NURBS curved surface model by using the process of editing contour lines, creating curved planes, constructing grids and constructing curved sheets.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111087452.4A CN113781637A (en) | 2021-09-16 | 2021-09-16 | Method for establishing upper respiratory tract-tracheal tree combined model based on three-dimensional reconstruction |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111087452.4A CN113781637A (en) | 2021-09-16 | 2021-09-16 | Method for establishing upper respiratory tract-tracheal tree combined model based on three-dimensional reconstruction |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113781637A true CN113781637A (en) | 2021-12-10 |
Family
ID=78851578
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111087452.4A Pending CN113781637A (en) | 2021-09-16 | 2021-09-16 | Method for establishing upper respiratory tract-tracheal tree combined model based on three-dimensional reconstruction |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113781637A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116630534A (en) * | 2023-05-06 | 2023-08-22 | 华中科技大学协和深圳医院 | Airway management artificial intelligence decision-making system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104462650A (en) * | 2014-11-10 | 2015-03-25 | 张建卿 | Materialized heart 3D model manufacturing method capable of achieving internal and external structures |
| US20150351714A1 (en) * | 2013-02-14 | 2015-12-10 | Fluidda Respi | Method for determining a respiratory condition based on functional respiratory imaging |
| CN106264731A (en) * | 2016-10-11 | 2017-01-04 | 昆明医科大学第附属医院 | A kind of method based on point-to-point registration technique virtual knee joint single condyle replacement model construction |
| CN107320221A (en) * | 2017-06-21 | 2017-11-07 | 四川大学 | A kind of lopsided knee joint skeleton model preparation method based on 3D printing technique |
| CN110443005A (en) * | 2019-08-22 | 2019-11-12 | 西北工业大学 | A kind of complete knee joint finite element modeling method |
-
2021
- 2021-09-16 CN CN202111087452.4A patent/CN113781637A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150351714A1 (en) * | 2013-02-14 | 2015-12-10 | Fluidda Respi | Method for determining a respiratory condition based on functional respiratory imaging |
| CN104462650A (en) * | 2014-11-10 | 2015-03-25 | 张建卿 | Materialized heart 3D model manufacturing method capable of achieving internal and external structures |
| CN106264731A (en) * | 2016-10-11 | 2017-01-04 | 昆明医科大学第附属医院 | A kind of method based on point-to-point registration technique virtual knee joint single condyle replacement model construction |
| CN107320221A (en) * | 2017-06-21 | 2017-11-07 | 四川大学 | A kind of lopsided knee joint skeleton model preparation method based on 3D printing technique |
| CN110443005A (en) * | 2019-08-22 | 2019-11-12 | 西北工业大学 | A kind of complete knee joint finite element modeling method |
Non-Patent Citations (1)
| Title |
|---|
| 钱玉梅;陈丽萍;吴亚东;焦婷;: "人体上呼吸道三维数值模型的建立与气体流场数值模拟分析", 上海口腔医学, no. 03, 15 June 2010 (2010-06-15) * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116630534A (en) * | 2023-05-06 | 2023-08-22 | 华中科技大学协和深圳医院 | Airway management artificial intelligence decision-making system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112006772B (en) | Method and system for establishing complete human body external respiratory tract | |
| Damas et al. | Forensic identification by computer-aided craniofacial superimposition: a survey | |
| CN104504737B (en) | A kind of method that three-dimensional tracheae tree is obtained from lung CT image | |
| Miyawaki et al. | Automatic construction of subject-specific human airway geometry including trifurcations based on a CT-segmented airway skeleton and surface | |
| US20100030064A1 (en) | Feature-Based Registration Method | |
| Brouwer et al. | Assessment of manual adjustment performed in clinical practice following deep learning contouring for head and neck organs at risk in radiotherapy | |
| CN112370018A (en) | Computer application software for predicting difficult airway and airway management data system | |
| CN109410166A (en) | Full-automatic partition method for pulmonary parenchyma CT image | |
| US8050470B2 (en) | Branch extension method for airway segmentation | |
| CN107895364A (en) | A kind of three-dimensional reconstruction system for the preoperative planning of virtual operation | |
| Bruner et al. | Paleoneurology of an “early” Neandertal: endocranial size, shape, and features of Saccopastore 1 | |
| CN114191075B (en) | Rapid construction method and system of personalized knee joint prosthesis model | |
| KR20100028301A (en) | Lung segmentation method using gradient and intensity distribution on ct lung images | |
| CN113781637A (en) | Method for establishing upper respiratory tract-tracheal tree combined model based on three-dimensional reconstruction | |
| CN116999166A (en) | Intraoperative map expansion method, storage medium and electromagnetic navigation bronchoscope system | |
| Mohite et al. | Modeling of human airways CAD model using CT scan data | |
| Fetita et al. | Quantitative 3D CT bronchography | |
| CN111281535A (en) | Double-cavity bronchial catheter matching and simulated intubation method and device | |
| CN116934885A (en) | Lung segmentation method, device, electronic equipment and storage medium | |
| CN111127453A (en) | Differential geometry-based full-automatic partitioning method for tracheal tree | |
| CN111898672A (en) | Optimal graph theory-based automatic identification method for bronchial segment anatomical structure | |
| CN113781651A (en) | Method and system for constructing human body internal and external respiration integrated model based on CT image | |
| Yin | MDCT-based dynamic, subject-specific lung models via image registration for CFD-based interrogation of regional lung function | |
| Iwao et al. | Integrated lung field segmentation of injured regions and anatomical structures from chest CT images | |
| CN114820919A (en) | Method and system for constructing human body full breathing passage model conforming to real anatomical structure |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |