CN113261944B - Airway resistance acquisition device, airway resistance acquisition method, diagnosis device, medium, and electronic device - Google Patents
Airway resistance acquisition device, airway resistance acquisition method, diagnosis device, medium, and electronic device Download PDFInfo
- Publication number
- CN113261944B CN113261944B CN202110728506.4A CN202110728506A CN113261944B CN 113261944 B CN113261944 B CN 113261944B CN 202110728506 A CN202110728506 A CN 202110728506A CN 113261944 B CN113261944 B CN 113261944B
- Authority
- CN
- China
- Prior art keywords
- airway
- resistance
- obtaining
- air passage
- acquiring
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/085—Measuring impedance of respiratory organs or lung elasticity
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/087—Measuring breath flow
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/28—Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
-
- 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
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Public Health (AREA)
- Medical Informatics (AREA)
- Biomedical Technology (AREA)
- Pathology (AREA)
- General Health & Medical Sciences (AREA)
- Heart & Thoracic Surgery (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Pulmonology (AREA)
- Veterinary Medicine (AREA)
- Physiology (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Mathematical Physics (AREA)
- Pure & Applied Mathematics (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- Fluid Mechanics (AREA)
- Algebra (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Psychiatry (AREA)
- Signal Processing (AREA)
- Apparatus For Radiation Diagnosis (AREA)
Abstract
The invention provides an airway resistance acquisition device, an airway resistance acquisition method, a diagnosis device, a medium and electronic equipment. The airway resistance obtaining device includes: the medical image acquisition module is used for acquiring a lung medical image of a patient; the examination result acquisition module is used for acquiring the lung examination result of the patient; the airway model acquisition module is used for acquiring a model of a first airway according to the lung medical image of the patient; a first resistance obtaining module for obtaining the resistance of the first air passage according to the model of the first air passage and the first second exhalation; and the second resistance acquisition module is used for acquiring the resistance of a second air passage according to the total air passage resistance and the resistance of the first air passage. The chronic obstructive pulmonary disease can be clinically diagnosed based on the resistance of the second airway, which is sensitive to the high risk population of the chronic obstructive pulmonary disease, and the diagnosis of the chronic obstructive pulmonary disease can be realized at the early stage of the disease process.
Description
Technical Field
The present invention relates to a resistance obtaining device, and more particularly, to an airway resistance obtaining device, method, diagnostic device, medium, and electronic apparatus.
Background
Chronic Obstructive Pulmonary Disease (COPD), also known as Chronic Obstructive Pulmonary Disease, is a Disease characterized by persistent respiratory symptoms and airflow limitation, usually caused by airway and/or alveolar abnormalities caused by significant exposure to toxic particles or gases. Currently, lung Function Testing (PFT) is the mainstream criterion for diagnosis of chronic obstructive lung. According to current clinical guidelines, COPD is defined as exhibiting a first second expiratory volume to lung volume ratio (FEV 1/FVC) of less than 70% on a pulmonary function exam. However, in practical applications, the inventor finds that many patients have lung symptoms such as limited activity, emphysema and airway wall thickening before the condition of the patients can be diagnosed by the lung function examination result, and the patients with the lung symptoms have a high probability of developing serious chronic obstructive pulmonary disease in the future, so that the lung function examination is clinically insufficient for the high risk group of the chronic obstructive pulmonary disease, and the chronic obstructive pulmonary disease cannot be diagnosed at an early stage.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, an object of the present invention is to provide an airway resistance obtaining apparatus, an airway resistance obtaining method, a diagnosis apparatus, a medium, and an electronic device, which are used to solve the problem that the lung function check cannot diagnose the chronic obstructive lung at an early stage in the prior art.
To achieve the above and other related objects, a first aspect of the present invention provides an airway resistance obtaining apparatus including: the medical image acquisition module is used for acquiring a lung medical image of a patient; the system comprises an examination result acquisition module, a data processing module and a data processing module, wherein the examination result acquisition module is used for acquiring a lung examination result of a patient, and the lung examination result comprises first-second expiratory volume and total airway resistance; the airway model acquisition module is used for acquiring a model of a first airway according to the lung medical image of the patient, wherein the first airway is an airway with a diameter larger than a diameter threshold; a first resistance obtaining module, configured to obtain a resistance of the first airway according to the model of the first airway and the first second exhalation quantity; and the second resistance acquisition module is used for acquiring the resistance of a second air passage according to the total air passage resistance and the resistance of the first air passage, wherein the second air passage refers to the air passage with the diameter smaller than or equal to the diameter threshold.
In an embodiment of the first aspect, the first resistance obtaining module is configured to perform an air flow dynamics analysis according to a model of the first airway and the first second exhalation, and obtain the resistance of the first airway through simulation.
In an embodiment of the first aspect, the first resistance obtaining module includes: the boundary condition acquisition unit is used for acquiring the tail end inlet flow of each stage of air passage as a boundary condition according to the cross-sectional area of each stage of air passage in the first air passage and the first second exhalation quantity; the airflow dynamics simulation unit is used for performing airflow dynamics simulation according to the model of the first air passage and the first second exhalation quantity so as to obtain an airflow dynamics simulation result under the boundary condition; and the airway resistance obtaining unit is used for obtaining the resistance of the first airway according to the air flow dynamics simulation result.
In an embodiment of the first aspect, for a terminal airway in the first airway, the airway resistance obtaining unit is configured to obtain the resistance of the terminal airway according to the pressure drop and the cross-sectional flow rate thereof; and/or for non-terminal airways in the first airways, the airway resistance acquiring unit is used for acquiring the resistance of the non-terminal airways according to the resistance of subordinate branch airways.
In an embodiment of the first aspect, the first resistance obtaining module further comprises a post-processing unit, and the post-processing unit is configured to post-process the model of the first airway.
In an embodiment of the first aspect, the first resistance obtaining module includes: the 3D printing unit is used for carrying out 3D printing according to the model of the first air passage to obtain a solid model of the first air passage; a resistance obtaining unit for performing a resistance measurement based on the solid model of the first airway and the first second exhalation amount to obtain a resistance of the first airway.
A second aspect of the present invention provides a diagnostic apparatus comprising: the airway resistance obtaining apparatus according to any one of the first aspect of the invention; and the diagnosis device is used for diagnosing the patient according to the airway resistance acquired by the airway resistance acquisition device.
A third aspect of the present invention provides an airway resistance acquisition method including: acquiring a lung medical image and a lung examination result of a patient, wherein the lung examination result comprises a first second exhalation amount and total airway resistance; obtaining a model of a first airway according to the lung medical image of the patient, wherein the first airway is an airway with a diameter larger than a diameter threshold; acquiring resistance of the first airway according to the model of the first airway and the first second exhalation; and acquiring the resistance of a second airway according to the total airway resistance and the resistance of the first airway, wherein the second airway refers to an airway with the diameter smaller than or equal to the diameter threshold.
A fourth aspect of the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the airway resistance acquisition method according to the third aspect of the present invention.
A fifth aspect of the present invention provides an electronic apparatus, comprising: a memory storing a computer program; a processor, communicatively connected to the memory, for executing the airway resistance obtaining method according to the third aspect of the present invention when the computer program is invoked; and the display is in communication connection with the processor and the memory and is used for displaying a related GUI interactive interface of the airway resistance acquisition method.
As described above, one technical solution of the airway resistance obtaining apparatus, method, diagnostic apparatus, medium, and electronic device according to the present invention has the following advantageous effects:
the airway resistance obtaining device can obtain the resistance of a first airway of a patient according to a lung medical image and a lung diagnosis result of the patient, obtain the resistance of a second airway according to the resistance of the first airway and the total airway resistance, and clinically diagnose the chronic obstructive pulmonary disease based on the resistance of the second airway.
Drawings
Fig. 1 is a schematic structural diagram of an airway resistance obtaining apparatus according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a first resistance obtaining module in an embodiment of the airway resistance obtaining apparatus of the present invention.
Fig. 3 is a flowchart illustrating the post-processing of the model of the first airway by the airway resistance obtaining apparatus according to an embodiment of the present invention.
Fig. 4 is a schematic structural diagram of a first resistance obtaining module in an embodiment of the airway resistance obtaining apparatus of the present invention.
Fig. 5 is a flowchart illustrating an airway resistance obtaining method according to an embodiment of the present invention.
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the invention.
Description of the element reference numerals
1. Airway resistance acquisition device
11. Medical image acquisition module
12. Inspection result acquisition module
13. Airway model acquisition module
14. First resistance acquisition module
141. Boundary condition acquisition unit
142. Aerodynamic simulation unit
143. Airway resistance acquisition unit
144 3D printing unit
145. Resistance force acquisition unit
15. Second resistance obtaining module
600. Electronic device
610. Memory device
620. Processor with a memory having a plurality of memory cells
630. Display device
S31 to S33
S51 to S54 steps
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the drawings only show the components related to the present invention rather than being drawn according to the number, shape and size of the components in actual implementation, and the type, number and proportion of the components in actual implementation may be changed arbitrarily, and the layout of the components may be more complicated. Moreover, in this document, relational terms such as "first," "second," and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
Currently, lung Function Testing (PFT) is the mainstream criterion for diagnosis of chronic obstructive lung. According to current clinical guidelines, COPD is defined as exhibiting a first second expiratory volume to lung volume ratio (FEV 1/FVC) of less than 70% on a pulmonary function exam. However, in practical applications, the inventor finds that many patients have lung symptoms such as limited activity, emphysema and airway wall thickening before the condition of the patients can be diagnosed by the lung function examination result, and the patients with the lung symptoms have a high probability of developing serious chronic obstructive pulmonary disease in the future, so that the lung function examination is clinically insufficient for the high risk group of the chronic obstructive pulmonary disease, and the chronic obstructive pulmonary disease cannot be diagnosed at an early stage. In view of the above, the present invention provides an airway resistance obtaining device, which is capable of obtaining the resistance of a second airway, namely, a small end airway with a diameter smaller than or equal to a diameter threshold, and according to the resistance of the second airway, early diagnosis can be performed on the chronic obstructive pulmonary disease, which is beneficial for a patient to receive relevant treatment in time.
Referring to fig. 1, in an embodiment of the present invention, the airway resistance acquiring apparatus 1 includes a medical image acquiring module 11, an examination result acquiring module 12, an airway model acquiring module 13, a first resistance acquiring module 14, and a second resistance acquiring module 15.
The medical image acquisition module 11 is configured to acquire medical images of a lung of a patient, wherein the medical images of the lung are, for example, CT images of the lung of the patient, and the resolution of the medical images of the lung should at least be able to identify airways having a diameter larger than a diameter threshold, which may be set empirically, for example, 2mm.
The examination result acquiring module 12 is configured to acquire a lung examination result of the patient, where the lung examination result may be obtained by performing a lung function examination on the patient by a lung function instrument, and the lung examination result should include at least the first-second expiratory volume and the total airway pressure.
The airway model obtaining module 13 is connected to the medical image obtaining module 11, and is configured to obtain a model of a first airway according to the medical image of the lung of the patient, where the first airway is an airway with a diameter larger than the diameter threshold.
The first resistance obtaining module 14 is connected to the airway model obtaining module 13 and the examination result obtaining module 12, and is configured to obtain the resistance of the first airway according to the model of the first airway and the first second exhalation.
The second resistance obtaining module 15 is connected to the first resistance obtaining module 14 and the airway model obtaining module 13, and configured to obtain resistance of a second airway according to the total airway resistance and the resistance of the first airway, where the second airway is an airway with a diameter smaller than or equal to the diameter threshold and includes a terminal small airway of the patient. Specifically, the resistance of the second airway is related to the difference between the total airway resistance and the resistance of the first airway, so the second resistance obtaining module 15 can obtain the resistance of the second airway according to the total airway resistance and the resistance of the first airway, for example, the second resistance obtaining module 15 may obtain the resistance of the second airway by subtracting the total airway resistance and the resistance of the first airway.
The present embodiment is based on the research of the inventor, and specifically, the inventor finds, through the research, that the medical image of the lung of the patient is more sensitive than the lung function apparatus, and for many patients, before the chronic obstructive lung is confirmed according to the lung function examination result, the medical image of the lung of the patient can already find that the patient has problems such as airway inflammation and/or lung injury. In addition, the inventor also finds that in the early stage of the slow obstructive pulmonary disease, the small end airways with small diameters are subjected to atrophic lesions. Based on the above two points, the airway resistance acquiring device 1 of the present embodiment acquires the resistance of the first airway of the patient according to the lung medical image and the lung diagnosis result of the patient, and acquires the resistance of the second airway according to the resistance of the first airway and the total airway resistance, and can diagnose the chronic obstructive pulmonary disease based on the resistance of the second airway in clinic.
In addition, because the diameter of the second airway is usually small, it is difficult to directly analyze the second airway according to the pulmonary medical image of the patient to obtain the resistance of the second airway in practical application, and for this problem, the present embodiment obtains the total airway resistance and the resistance of the first airway with a large diameter according to the pulmonary examination result and the pulmonary medical image of the patient, and obtains the resistance of the second airway according to the total airway resistance and the resistance of the first airway. Therefore, the airway resistance acquisition device 1 can acquire the resistance of the second airway having a smaller diameter.
In an embodiment of the present invention, the airway model obtaining module 13 extracts the geometric shape of the first airway and the corresponding region range thereof as the model of the first airway by segmenting the pulmonary medical image of the patient. For example, the airway model obtaining module 13 may obtain the manual segmentation result of the medical image of the lung by the medical staff as the model of the first airway. For another example, the airway model obtaining module 13 may also automatically segment the first airway and the corresponding region range by using a related computer segmentation algorithm, such as U-Net, V-Net, etc.
In an embodiment of the invention, the first resistance obtaining module 14 is configured to perform an air flow dynamics analysis according to the model of the first airway and the first second exhalation, and obtain the resistance of the first airway through simulation. Specifically, the model of the first air passage includes a geometric shape of the first air passage and a corresponding area range thereof, and the geometric shape of the first air passage and the corresponding area range thereof are main factors determining a flow path and a flow rate of gas in the air passage, so that the pressures at different positions of the first air passage can be obtained by performing simulation according to the first second breathing rate and the model of the first air passage, and further the resistance of the first air passage can be obtained.
Referring to fig. 2, in an embodiment of the present invention, the first resistance module 14 includes a boundary condition obtaining unit 141, an aerodynamic simulation unit 142, and an air passage resistance obtaining unit 143.
The boundary condition obtaining unit 141 is configured to obtain the terminal inlet flow of each airway as the boundary condition according to the cross-sectional area of each airway and the first second exhalation quantity.
Alternatively, the boundary condition obtaining unit 141 obtains the center line of each level of the first airway, and distributes the first second exhalation volume to each airway end inlet step by step according to the ratio of the cross-sectional area of each level of the airway, so as to calculate the flow volume of each airway end inlet at the moment of exhalation as the boundary condition. For example, if the flow rate of a certain primary airway a is Q, and the cross-sectional areas of the two branch airways a1 and a2 corresponding to the primary airway a are S1 and S2, respectively, then the ratio of the cross-sectional areas of the two branches can be used to determine that the inlet flow rate at the end of the airway a1 at the moment of expiration is Q × S1/(S1 + S2), and the inlet flow rate at the end of the airway a2 is Q × S2/(S1 + S2).
The aerodynamic simulation unit 142 is connected to the boundary condition obtaining unit 141, and configured to perform aerodynamic simulation according to the model of the first airway and the first second exhalation, so as to obtain an aerodynamic simulation result under the boundary condition. The aerodynamic simulation may be implemented by simulation software ansys cfd, for example, and the aerodynamic simulation result may include aerodynamic parameters at each point of the first air duct under the boundary condition, where the aerodynamic parameters are, for example, flow velocity, pressure, wall shear stress, vorticity, and the like.
The airway resistance obtaining unit 143 is connected to the airflow dynamics simulation unit 142, and is configured to obtain the resistance of the first airway according to the airflow dynamics simulation result.
Optionally, for a terminal airway in the first airways, the airway resistance obtaining unit 143 is configured to obtain the resistance of the terminal airway according to the pressure drop and the cross-sectional flow rate thereof. Specifically, for any terminal airway B, the airway resistance obtaining unit 143 may obtain the cross-sectional flow rate and the branch point pressure of the terminal airway B according to the airflow dynamics parametersAnd terminal pressure, according to
This equation is used to obtain the resistance of the terminal airway B, where R represents the resistance, Δ P is the pressure drop of the terminal airway B (i.e. the difference between the branch pressure and the terminal pressure of the terminal airway B), and MF is the cross-sectional flow rate of the terminal airway B.
Optionally, for a non-terminal airway in the first airway, the airway resistance obtaining unit 143 is configured to obtain the resistance of the non-terminal airway according to the resistance of its inferior branch airway. In particular, for any non-terminal airway C, the resistance is, for example
Where N is the number of subordinate branch airways of the terminal airway C, R i_C The resistance of the i-th inferior branch airway of the terminal airway C.
In a specific application, the airway resistance acquiring unit 143 may acquire the resistance of each terminal airway, then acquire the resistance of the upper level airway of the terminal airway according to the resistance of each terminal airway, acquire the resistance of the upper level airway of the terminal airway according to the resistance of the upper level airway of the terminal airway, and repeat this process until the airway resistance acquiring unit 143 acquires the resistances of all the first airways.
According to the above description, this embodiment provides a method for obtaining the resistance of the first airway, which includes, based on the first second expiratory volume, allocating the flow rate step by step through the ratio of the branch cross-sectional areas of each airway to obtain the gas flow rate at the end inlet of each airway during expiration, and performing gas flow dynamics simulation based on the obtained gas flow dynamics simulation result to obtain a gas flow dynamics simulation result, and then obtaining the resistance of the end airway according to the gas flow dynamics simulation result, and calculating the resistance of each airway in the first airway step by step upwards according to the resistance of the end airway. The resistance of the first air passage acquired by the method has high accuracy.
In an embodiment of the present invention, the first resistance obtaining module 14 may further include a post-processing unit, and the post-processing unit is configured to perform post-processing on the model of the first airway.
Optionally, the post-processing of the model of the first airway by the post-processing unit comprises: the data of the area range corresponding to the first air channel is uniformly converted into the stl grid file format which is convenient for subsequent processing, and the processing can be realized by existing software such as MeshLab and the like.
Optionally, the post-processing of the model of the first airway by the post-processing unit comprises: the method may further include removing broken airways in the first airway model, smoothing the airways at each level (e.g., removing additional bumps and pits), and/or cutting planes at the entrance and exit of the airways at each level, which may be implemented, for example, by geogenic Wrap software.
Optionally, the post-processing of the model of the first airway by the post-processing unit comprises: separating the duct wall and the inlet and outlet of the first airway model, this process can be implemented by ICEM CFD post-processing software, for example.
Optionally, referring to fig. 3, in this embodiment, an implementation method for performing post-processing on the model of the first airway by the post-processing unit includes:
s31, uniformly converting the area range data corresponding to the first airway model into an stl mesh file format, which may be performed by existing software such as MeshLab.
And S32, importing the stl grid file into Geomagic Wrap software for post-processing so as to delete broken air passages, smooth the air passages at all levels (namely, remove extra bulges and depressions), simplify the number of grids and cut planes at each inlet and outlet of the air passages.
And S33, importing the stl grid file obtained after the processing in the step S32 into ICEM CFD post-processing software, separating the pipe wall and the inlet and outlet of the air passage, and exporting a cfx5 grid file.
In addition, the boundary condition obtaining unit 141 may import the stl file obtained after the processing in step S32 into the VMTK software to calculate the central line of the airway, and gradually distribute the first second exhalation volume to each airway end inlet according to the ratio of the cross-sectional area of each stage of the airway, so as to calculate and obtain each airway end inlet flow volume at the moment of exhalation as the boundary condition of the aerodynamic simulation calculation. The aerodynamic simulation unit 142 may import the cfx mesh file obtained in step S33 and the boundary condition into ansys cfd aerodynamic simulation software, so as to obtain an aerodynamic parameter of each point of the first air duct under the boundary condition.
Referring to fig. 4, in an embodiment of the invention, the first resistance obtaining module 14 includes a 3D printing unit 144 and a resistance obtaining unit 145.
The 3D printing unit 144 is configured to perform 3D printing according to the model of the first air passage to obtain an entity model of the first air passage, where the 3D printing may be implemented by using the prior art, and details are not repeated here.
The resistance obtaining unit 145 is configured to perform a resistance measurement based on the solid model of the first airway and the first second exhalation to obtain the resistance of the first airway. Specifically, an equal amount of gas may be input at an input end of a solid model of the first air passage according to the first second exhalation amount, and the resistance of the first air passage may be obtained by arranging a resistance measurement device at a corresponding position of the first air passage, where the resistance measurement device is, for example, a pressure sensor.
Based on the above description of the airway resistance obtaining apparatus, the present invention also provides a diagnostic apparatus including the airway resistance obtaining apparatus 1 shown in fig. 1 and a diagnostic apparatus. The diagnosis device is connected with the airway resistance acquisition device 1 and used for diagnosing the patient according to the airway resistance acquired by the airway resistance acquisition device 1, and the airway resistance acquired by the airway resistance acquisition device 1 comprises the resistance of the second airway and the resistance of the first airway.
Specifically, the diagnostic device may compare the resistance of the second airway to a resistance threshold: if the resistance of the second airway is larger than the resistance threshold value, the terminal small airway of the patient is proved to have an atrophy lesion, and at the moment, the patient can be diagnosed as a high-risk person with slow lung obstruction; if the resistance of the second airway is less than or equal to the resistance threshold, it indicates that the terminal small airway of the patient has substantially no atrophic lesions, and at this time, the patient may be diagnosed as a low risk person with slow lung obstruction. Wherein the resistance threshold may be set empirically.
Based on the above description of the airway resistance acquisition device, the invention also provides an airway resistance acquisition method. Specifically, referring to fig. 5, in an embodiment of the present invention, the method for acquiring airway resistance includes:
s51, obtaining a lung medical image and a lung examination result of the patient, wherein the lung examination result comprises the first second expiratory volume and the total airway resistance.
S52, obtaining a model of a first airway according to the lung medical image of the patient, wherein the first airway is an airway with a diameter larger than a diameter threshold value.
S53, obtaining the resistance of the first airway according to the model of the first airway and the first second exhalation quantity.
And S54, acquiring the resistance of a second airway according to the total airway resistance and the resistance of the first airway, wherein the second airway is an airway with the diameter smaller than or equal to the diameter threshold.
The above steps S51 to S54 correspond to the medical image obtaining module 11, the examination result obtaining module 12, the airway model obtaining module 13, the first resistance obtaining module 14, and the second resistance obtaining module 15 in the airway resistance obtaining device 1 shown in fig. 1, and specific implementation manners are not described herein in detail.
Based on the above description of the airway resistance acquisition method, the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the airway resistance acquisition method shown in fig. 5.
Based on the above description of the airway resistance acquisition method, the invention also provides an electronic device. Specifically, referring to fig. 6, the electronic device 600 includes a memory 610, a processor 620, and a display 630. The memory 610 stores a computer program. The processor 620 is communicatively connected to the memory 610, and executes the airway resistance obtaining method shown in fig. 5 when the computer program is called. The display is communicatively coupled to the memory 610 and the processor 620 and is configured to display a GUI interface associated with the airway resistance measurement method.
The protection scope of the airway resistance obtaining method according to the present invention is not limited to the execution sequence of the steps listed in this embodiment, and all the solutions implemented by the steps addition, subtraction, and step replacement in the prior art according to the principles of the present invention are included in the protection scope of the present invention.
The invention also provides an airway resistance acquiring device, which can realize the airway resistance acquiring method, but the device for realizing the airway resistance acquiring method includes but is not limited to the structure of the airway resistance acquiring device listed in the embodiment, and all structural modifications and substitutions in the prior art made according to the principle of the invention are included in the protection scope of the invention.
The airway resistance acquiring device can acquire the resistance of the first airway of a patient according to the lung medical image and the lung diagnosis result of the patient, and acquire the resistance of the second airway according to the resistance of the first airway and the total airway resistance, and can diagnose the chronic obstructive pulmonary disease based on the resistance of the second airway in clinic.
The airway resistance acquiring device acquires total airway resistance and first airway resistance with larger diameter according to lung examination results and lung medical images of a patient respectively, and acquires the second airway resistance according to the total airway resistance and the first airway resistance. Therefore, the airway resistance acquiring device can acquire the resistance of the second airway having a smaller diameter.
In conclusion, the present invention effectively overcomes various disadvantages of the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Those skilled in the art can modify or change the above-described embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (7)
1. An airway resistance obtaining apparatus, characterized by comprising:
the medical image acquisition module is used for acquiring a lung medical image of a patient;
the system comprises an examination result acquisition module, a data processing module and a data processing module, wherein the examination result acquisition module is used for acquiring a lung examination result of a patient, and the lung examination result comprises first-second expiratory volume and total airway resistance;
the airway model obtaining module is used for obtaining a model of a first airway according to the lung medical image of the patient, wherein the first airway is an airway with the diameter larger than a diameter threshold;
a first resistance obtaining module for obtaining the resistance of the first air passage according to the model of the first air passage and the first second exhalation;
the second resistance obtaining module is used for obtaining the resistance of a second air passage according to the total air passage resistance and the resistance of the first air passage, wherein the second air passage is an air passage with the diameter smaller than or equal to the diameter threshold value;
the first resistance acquisition module comprises a boundary condition acquisition unit, an aerodynamic simulation unit and an airway resistance acquisition unit;
the boundary condition acquisition unit is used for acquiring the tail end inlet flow of each stage of air passage as a boundary condition according to the cross-sectional area of each stage of air passage in the first air passage and the first second exhalation quantity;
the air flow dynamics simulation unit is used for carrying out air flow dynamics simulation according to the model of the first air passage and the first second exhalation quantity so as to obtain an air flow dynamics simulation result under the boundary condition;
the airway resistance obtaining unit is used for obtaining the resistance of the first airway according to the air flow dynamics simulation result, and comprises: for a terminal airway in the first airways, the airway resistance acquiring unit is used for acquiring the resistance of the terminal airway according to the pressure drop and the cross-sectional flow rate of the terminal airway; and/or, for non-terminal airways in the first airway, the airway resistance acquiring unit is used for acquiring the resistance of the non-terminal airways according to the resistance of the subordinate branch airways.
2. The airway resistance obtaining device according to claim 1, wherein: the first resistance obtaining module further comprises a post-processing unit for post-processing the model of the first airway.
3. The airway resistance obtaining device according to claim 1, wherein the first resistance obtaining module further comprises:
and the 3D printing unit is used for performing 3D printing according to the model of the first air channel to obtain the solid model of the first air channel.
4. A diagnostic device, characterized in that it comprises:
the airway resistance obtaining device of any one of claims 1-3;
and the diagnosis device is used for diagnosing the patient according to the airway resistance acquired by the airway resistance acquisition device.
5. An airway resistance obtaining method, characterized by comprising:
acquiring a lung medical image and a lung examination result of a patient, wherein the lung examination result comprises a first second exhalation amount and total airway resistance;
obtaining a model of a first airway according to the lung medical image of the patient, wherein the first airway is an airway with a diameter larger than a diameter threshold;
acquiring resistance of the first airway according to the model of the first airway and the first second exhalation;
acquiring resistance of a second airway according to the total airway resistance and the resistance of the first airway, wherein the second airway refers to an airway with a diameter smaller than or equal to the diameter threshold;
wherein obtaining the resistance of the first airway comprises:
acquiring the tail end inlet flow of each stage of air passage as a boundary condition according to the cross-sectional area of each stage of air passage in the first air passage and the first second exhalation;
performing aerodynamic simulation according to the model of the first airway and the first second exhalation quantity to obtain an aerodynamic simulation result under the boundary condition;
obtaining the resistance of the first airway according to the air flow dynamics simulation result, wherein the obtaining of the resistance of the first airway comprises the following steps: acquiring the resistance of a terminal airway in the first airway according to the pressure drop and the cross-sectional flow rate of the terminal airway; and/or, for the non-terminal air passage in the first air passage, acquiring the resistance of the non-terminal air passage according to the resistance of the inferior branch air passage.
6. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program, when executed by a processor, implements the airway resistance acquisition method of claim 5.
7. An electronic device, characterized in that the electronic device comprises:
a memory storing a computer program;
a processor, communicatively coupled to the memory, that executes the airway resistance acquisition method of claim 5 when the computer program is invoked;
and the display is in communication connection with the processor and the memory and is used for displaying a related GUI interactive interface of the airway resistance acquisition method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110728506.4A CN113261944B (en) | 2021-06-29 | 2021-06-29 | Airway resistance acquisition device, airway resistance acquisition method, diagnosis device, medium, and electronic device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110728506.4A CN113261944B (en) | 2021-06-29 | 2021-06-29 | Airway resistance acquisition device, airway resistance acquisition method, diagnosis device, medium, and electronic device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113261944A CN113261944A (en) | 2021-08-17 |
| CN113261944B true CN113261944B (en) | 2022-12-27 |
Family
ID=77236269
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110728506.4A Active CN113261944B (en) | 2021-06-29 | 2021-06-29 | Airway resistance acquisition device, airway resistance acquisition method, diagnosis device, medium, and electronic device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113261944B (en) |
Family Cites Families (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7992572B2 (en) * | 1998-06-10 | 2011-08-09 | Asthmatx, Inc. | Methods of evaluating individuals having reversible obstructive pulmonary disease |
| US8251070B2 (en) * | 2000-03-27 | 2012-08-28 | Asthmatx, Inc. | Methods for treating airways |
| WO2004102507A1 (en) * | 2003-05-16 | 2004-11-25 | Boehringer Ingelheim International Gmbh | Device for representing the lung, volume of the lung and respiration characteristics and use thereof |
| US20050016530A1 (en) * | 2003-07-09 | 2005-01-27 | Mccutcheon John | Treatment planning with implantable bronchial isolation devices |
| US7346203B2 (en) * | 2003-11-19 | 2008-03-18 | General Electric Company | Methods and apparatus for processing image data to aid in detecting disease |
| WO2009102930A2 (en) * | 2008-02-13 | 2009-08-20 | Kitware, Inc. | Method and system for measuring tissue damage and disease risk |
| WO2010086851A1 (en) * | 2009-01-28 | 2010-08-05 | Pulmone Advanced Medical Devices, Ltd. | Methods and devices for determining pulmonary measurements |
| EP2956059A1 (en) * | 2013-02-14 | 2015-12-23 | FluiDA Respi | Method for determining a respiratory condition based on functional respiratory imaging |
| US20160106341A1 (en) * | 2013-07-09 | 2016-04-21 | Pulmone Advanced Medical Devices, Ltd. | Determining respiratory parameters |
| CN108685575B (en) * | 2017-04-10 | 2023-06-02 | 中国人民解放军总医院 | Respiratory system function test method and device |
| EP3723601B1 (en) * | 2017-12-14 | 2024-03-06 | Fluidda Respi NV | Screening tool for patients pulmonary conditions |
| US10918309B2 (en) * | 2019-04-11 | 2021-02-16 | Siemens Healthcare Gmbh | Artificial intelligence-based COPD assessment |
-
2021
- 2021-06-29 CN CN202110728506.4A patent/CN113261944B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN113261944A (en) | 2021-08-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP2375379A2 (en) | Medical image processing apparatus and method, and computer readable recording medium on which is recorded program for the same | |
| US20110190626A1 (en) | Medical image diagnosis assisting apparatus and method, and computer readable recording medium on which is recorded program for the same | |
| WO2021184949A1 (en) | Pneumonia sign segmentation method and apparatus, medium and electronic device | |
| CN103945755B (en) | Image processing apparatus | |
| TWI413511B (en) | The method of forming the visualization map of the pressure distribution of the flow field of the sleep apnea and the computer | |
| US20080009683A1 (en) | System and Method For Automatic Detection and Measurement of Malacia In The Airways | |
| US20110066058A1 (en) | System and Method for Three-Dimensional Airway Reconstruction, Assessment and Analysis | |
| CN114010215B (en) | Method and device for auxiliary diagnosis of bronchiectasis by medical image | |
| JP2008237747A (en) | Device for region of interest determination | |
| CN112950614A (en) | Breast cancer detection method based on multi-scale cavity convolution | |
| CN108245161A (en) | The assistant diagnosis system of lung's common disease | |
| JP5732015B2 (en) | Graph creating apparatus, graph creating method, and graph creating program | |
| CN109065165B (en) | Chronic obstructive pulmonary disease prediction method based on reconstructed airway tree image | |
| KR20100010973A (en) | Method for automatic classifier of lung diseases | |
| CN111260669A (en) | Lung lobe segmentation method and device based on CT image | |
| CN113261944B (en) | Airway resistance acquisition device, airway resistance acquisition method, diagnosis device, medium, and electronic device | |
| CN113516639B (en) | Training method and device for oral cavity abnormality detection model based on panoramic X-ray film | |
| Yang et al. | A method of abstracting single pulmonary lobe from computed tomography pulmonary images for locating COPD | |
| JP7275961B2 (en) | Teacher image generation program, teacher image generation method, and teacher image generation system | |
| CN114203297B (en) | Respiratory disease follow-up auxiliary method and device for medical image | |
| CN110458246A (en) | A kind of Biliary Calculi classification method based on deep learning | |
| CN103202696A (en) | Modeling method for detecting lung diseases through expiratory air on basis of aerosol | |
| CN113261986A (en) | Lung function parameter acquisition device, method, medium and electronic device | |
| CN111513676B (en) | OCT equipment, device and storage medium for detecting disease period of asthma patient | |
| KR102670185B1 (en) | Apparatus and method of providing diagnostic evaluation index capable of diagnosing structural and functional changes in subject using computed tomography image |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |