Intelligent fitting auxiliary system of orthokeratology lens based on corneal topography map
Through the intelligent fitting assistance system, the contact area of the lens positioning zone is calculated using corneal topography and approximation algorithm, which solves the problem of inaccurate fitting of corneal refractive therapy lenses caused by human factors in the existing technology, and realizes fast and accurate lens parameter acquisition and vision control.
Patent Information
- Application Number
- CN202422407562.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-30
- Publication Date
- 2025-10-17
- Estimated Expiration
- 2034-09-30
AI Technical Summary
The fitting of existing orthokeratology lenses relies on the skills and experience of ophthalmologists or optometrists, which results in patients being unable to obtain suitable lenses and having poor vision control effects.
An intelligent fitting assistance system based on corneal topography is provided, which includes a detection module, a corneal topography initial construction module, an optimization module, a model construction module and a model evaluation module. By calculating the contact area of the lens positioning zone and using an approximation algorithm and an optimization function, accurate orthokeratology lens parameters can be quickly obtained.
It reduces human uncertainty factors, achieves accurate corneal refractive lens parameters at one time, and improves the effect of controlling vision.
Smart Images

Figure CN223438494U_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The utility model relates to an intelligent fitting auxiliary system of corneal molding lens based on corneal topography, especially provide a corneal molding lens evaluation auxiliary model, calculate the lens positioning area contact area AZ of corneal molding lens parameter, and the implementable range of lens positioning area contact area AZ can be between (DIA-C1) / 2~ (DIA-OZ-C2) / 2, the aforementioned formula is according to ophthalmologist or optometrist, in the pre-set patient basic optometry parameter of fitting auxiliary system, can eliminate the artificial uncertain factor that the existing ophthalmologist or optometrist directly carries out trial fitting evaluation and multiple trial wearing to the patient, through approximation algorithm according to the constraint condition that has been set, and objective function, make ophthalmologist or optometrist quickly obtain suitable corneal molding lens parameter, compared with the existing artificial fitting mode, can obtain more accurate corneal molding lens parameter at a time, and the better control vision result is expected. BACKGROUND
[0002] Corneal molding lens is mainly used for children, adolescents or young people before the age of eighteen whose vision has not yet been shaped, and the corneal molding lens is similar in structure to a hard contact lens and is worn during sleep at night. The method for controlling vision is to make the peripheral positioning area of the corneal molding lens fit the eyeball, and then press the center of the cornea through the relatively flat area in the center of the corneal molding lens. The reverse arc located at the outer edge of the center of the corneal molding lens is used to accommodate the corneal epithelium moving to both sides, so as to rearrange the corneal epithelium, flatten the center and steepen the periphery, thereby achieving the purpose of controlling vision.
[0003] The existing corneal molding lens needs to be evaluated and tried on by an ophthalmologist or optometrist multiple times to determine the optimal corneal molding lens parameter, and then tailor-made corneal molding lens for the patient. However, the above-mentioned mode is highly dependent on the technology and experience of the ophthalmologist or optometrist. If the ophthalmologist or optometrist lacks technology and experience, the patient cannot obtain suitable corneal molding lens, and the control vision result cannot be highlighted. The problems caused by the existing technology need to be improved and solved by those skilled in the art. UTILITY MODEL CONTENT
[0004] Therefore, in view of the above problems and deficiencies, the purpose of the utility model is to provide an intelligent fitting auxiliary system of corneal molding lens based on corneal topography.
[0005] The utility model provides a kind of corneal topography-based corneal molding lens's intelligent fitting auxiliary system, comprising: a detection module, to obtain the optometry parameter of patient and a corneal feature;A corneal topography initial modeling module is located in a fitting auxiliary system, and a corneal initial topography is drawn according to the optometry parameter and the corneal feature;A corneal topography optimization module is located in the fitting auxiliary system, and a corneal optimized topography is obtained according to the corneal initial topography;A model construction module is located in the fitting auxiliary system, and a corneal molding lens evaluation auxiliary model is obtained according to the predetermined corneal molding lens parameter in combination with the optometry parameter, the corneal feature, the corneal optimized topography;The corneal molding lens evaluation auxiliary model is used to obtain the lens positioning area contact area of the corneal molding lens;A model evaluation module is located in the fitting auxiliary system, and an evaluation result is obtained according to the corneal molding lens evaluation auxiliary model and the contact area of cornea.
[0006] The lens positioning area contact area AZ of corneal molding lens parameter is calculated by the above-mentioned corneal molding lens evaluation auxiliary model, and the implementable range of lens positioning area contact area AZ can be between (DIA-C1) / 2~(DIA-OZ-C2) / 2, which can be based on ophthalmologist or optometry personnel, and the basic optometry parameter of patient is preset in fitting auxiliary system, so that the artificial uncertain factors of existing ophthalmologist or optometry personnel directly to patient for trial fitting evaluation and multiple trial wearing can be excluded, compared with existing artificial fitting mode, more accurate corneal molding lens parameter can be obtained at one time, and better control vision result is expected.
[0007] The corneal molding lens parameter is obtained according to the optometry parameter and the corneal feature, and the parameter is selected to be the closest.
[0008] The corneal molding lens evaluation auxiliary model includes a lens and cornea interaction model and a fluorescent tear model. ACCREDITED DRAWINGS
[0009] Figure 1 It is the function block diagram of the utility model intelligent fitting auxiliary system.
[0010] Figure 2 It is the corneal initial topography scale drawing of the utility model.
[0011] Figure 3 It is the corneal optimized topography scale drawing of the utility model.
[0012] Figure 4 It is the lens and cornea interaction model size drawing of the utility model.
[0013] Figure 5 It is the fluorescent tear model size drawing of the utility model.
[0014] Figure 6 This is a flowchart of the steps of the intelligent fitting assistance method of the present utility model.
[0015] Explanation of the accompanying symbols: 1-detection module; 2-fitting auxiliary system; 21-corneal topography initial construction module; 22-corneal topography optimization module; 23-model construction module; 24-keratology lens evaluation auxiliary model; 25-model evaluation module; 3-keratology lens parameters; 31-lens optical zone; 32-lens reversal arc; 33-lens positioning zone; 4-corneal characteristic parameters; S1-patient parameter reading; S2-corneal topography reconstruction and analysis; S3-lens and corneal model construction; S4-constraint condition setting; S5-optimization function establishment; S6-approximation algorithm to adjust lens parameters; S7-obtain the best lens parameters. DETAILED DESCRIPTION
[0016] In order to achieve the above-mentioned objectives and effects, the technical means and structures adopted by the present invention are illustrated in detail with reference to the preferred embodiments of the present invention, and their features and functions are described below for a complete understanding.
[0017] See also Figures 1 to 5 As shown in the figure, there are respectively a functional block diagram of the intelligent fitting assistance system of the present invention, a corneal initial topography ratio diagram, a corneal optimized topography ratio diagram, a lens and cornea interaction model size diagram, and a fluorescent tear model size diagram. It can be clearly seen from the figure that the intelligent fitting assistance system of the present invention mainly includes: a detection module 1 and a fitting assistance system 2, and the fitting assistance system 2 refers to a server or chip, and the fitting assistance system 2 has a storage device (not shown in the figure, such as a hard disk (HDD), a solid state drive (SDD) or a non-volatile flash memory). Its main components and features are detailed as follows:
[0018] The detection module 1 is used to obtain an optometry parameter and a corneal feature of the patient, such as a corneal feature parameter.
[0019] A corneal topography initialization module 21 is provided in the fitting auxiliary system 2, and draws a corneal initial topography map (such as Figure 2 shown).
[0020] A corneal topography optimization module 22 is provided in the fitting assistance system 2, and obtains a corneal optimized topography map according to the initial corneal topography map. For example, the initial corneal topography map can be reconstructed, optimized, adjusted, and resampled to obtain a corneal optimized topography map (e.g., Figure 3 shown).
[0021] A model building module 23 is provided in the fitting assistance system 2, and is configured to build a model according to a predetermined orthokeratology lens parameter (such as Figure 4 The fitting parameter, the corneal characteristic parameter (e.g. the corneal topography as shown in FIG. 1) and the optimized corneal topography are used to obtain a corneal molding lens evaluation assistance model 24. Figure 4
[0022] The corneal molding lens evaluation assistance model 24 is used to obtain a lens alignment zone contact area of the corneal molding lens, for example, the lens alignment zone contact area AZ of the corneal molding lens can be calculated, and the implementable range of the lens alignment zone contact area AZ can be between (DIA-C1) / 2 and (DIA-OZ-C2) / 2.
[0023] wherein: DIA is the lens diameter; OZ is the lens optical zone contact area, and is provided by the corneal molding lens parameter; C1 is the first calculation parameter; and C2 is the second calculation parameter.
[0024] A model evaluation module 25 is provided in the fitting assistance system 2, and an evaluation result is obtained according to the corneal molding lens evaluation assistance model 24 and the contact area of the cornea. For example, the corneal molding lens evaluation assistance model 24 can be evaluated according to a predetermined evaluation index, and the evaluation method can be to calculate the contact area of the lens and the cornea, and output an evaluation result, but is not limited thereto.
[0025] The optimization adjustment of the corneal topography optimization module 21 can be to establish an optimization function, and the formula for obtaining the value of the optimization function is:
[0026] ∫w1×OZ-w2×AZ;
[0027] wherein: w1 is the first weighting factor; w2 is the second weighting factor; OZ is the lens optical zone contact area; and AZ is the lens alignment zone contact area.
[0028] w1 and w2 are adjusted according to the material of the corneal molding lens, the ambient temperature and the ambient humidity.
[0029] The optimization function value can be linear programming (LP), mixed integer linear programming (MILP), quadratic programming (QP), second order cone programming (SOCP), nonlinear programming (NLP), constrained linear least square method, nonlinear least square and nonlinear equation, and all the above modules refer to servers or chips.
[0030] As shown in FIG. 1, Figure 4 , Figure 5 As shown, the corneal molding lens evaluation auxiliary model 24 comprises a lens and cornea interaction model and a fluorescein model; the corneal molding lens parameter 3 is obtained by selecting the parameter closest to the refraction parameter and the corneal characteristic parameter 4, and the corneal molding lens parameter 3 further comprises a lens optical zone 31, a lens reverse arc 32 and a lens positioning area 33; and the method for controlling vision is to make the lens positioning area 33 adhere to the corneal characteristic parameter 4, then press the center of the corneal characteristic parameter 4 through the lens optical zone 31, and the lens reverse arc 32 located at the outer edge of the lens optical zone 31 is used to accommodate the corneal epidermis and tear liquid moving to both sides, so as to make the corneal epidermis rearrange and make the center flat and the periphery steep, thereby achieving the purpose of controlling vision.
[0031] The parameter range of the C1 can be between 0.5mm and 1.5mm, and the initial value is 0.8mm; the parameter range of the C2 can be between 1mm and 2mm, and the initial value is 1.2mm, and the C1 and the C2 can be adjusted according to the size of the lens optical zone 31, the lens reverse arc 32 and the lens positioning area 33 of the corneal molding lens parameter 3.
[0032] The operation of the corneal molding lens evaluation auxiliary model 24 is preferably obtained by using an approximation algorithm to satisfy the constraint condition and minimize or maximize the target parameter; the method for obtaining the minimized target parameter is to make the first derivative zero (f'(x)=0), if the second derivative of the point is positive (f''(x)>0), then the point is a local minimum; and the method for obtaining the maximized target parameter is to make the first derivative zero (f'(x)=0), if the second derivative of the point is negative (f''(x)<0), then the point is a local maximum.
[0033] Referring to Figure 6 As shown, it is a step flow chart of the intelligent prescription auxiliary method of the system of the present application, comprising:
[0034] Step S1, patient parameter reading, providing a detection module, obtaining a refraction parameter and a corneal characteristic parameter of a patient through detection.
[0035] Step S2, corneal topography reconstruction and analysis, providing a corneal topography initial modeling module, drawing a corneal initial topography according to the refraction parameter and the corneal characteristic parameter; further providing a corneal topography optimization module, reconstructing, optimizing adjusting and resampling according to the corneal initial topography to obtain a corneal optimized topography.
[0036] Step S3, lens and cornea model construction, a model construction module is provided to obtain a corneal molding lens evaluation auxiliary model according to a predetermined corneal molding lens parameter combined with the refraction parameter, the corneal characteristic parameter, and the corneal optimized topography; the corneal molding lens parameter is obtained by selecting the parameter closest to the refraction parameter and the corneal characteristic parameter; and the corneal molding lens evaluation auxiliary model includes a lens and cornea interaction model and a fluorescent tear model.
[0037] Step S4, constraint condition setting, the iteration number of the corneal molding lens evaluation auxiliary model is set, and the lens positioning area contact area AZ of the corneal molding lens parameter is calculated, and the implementable range of the lens positioning area contact area AZ is between (DIA-C1) / 2 and (DIA-OZ-C2) / 2, wherein DIA is the lens diameter; OZ is the lens optical zone contact area, which is provided by the corneal molding lens parameter; C1 is the first calculation parameter; C2 is the second calculation parameter; and the parameter range of C1 is between 0.5mm and 1.5mm, and the initial value is 0.8mm; and the parameter range of C2 is between 1mm and 2mm, and the initial value is 1.2mm.
[0038] Step S5, optimization function establishment, a model evaluation module is provided, and the corneal molding lens evaluation auxiliary model is evaluated according to a predetermined evaluation index, and the evaluation method is to calculate the contact area of the lens and the cornea, and an evaluation result is output.
[0039] The optimization adjustment of the corneal topography optimization module is to establish an optimization function, and the formula for obtaining the value of the optimization function is:
[0040] ∫w1×OZ-w2×AZ;
[0041] Wherein w1 is the first weighting factor; w2 is the second weighting factor; OZ is the lens optical zone contact area; and AZ is the lens positioning area contact area.
[0042] Step S6, approximation algorithm adjusts the lens parameter; the approximation algorithm obtains the constraint condition that is satisfied, and the minimized or maximized target parameter, and the method for obtaining the minimized target parameter is to make the first derivative zero (f'(x)=0), and if the second derivative of the point is positive (f''(x)>0), the point is the local minimum value; and the method for obtaining the maximized target parameter is to make the first derivative zero (f'(x)=0), and if the second derivative of the point is negative (f''(x)<0), the point is the local maximum value.
[0043] Step S7, the best lens parameter is obtained.
[0044] The main feature of the utility model lies in: provide a corneal molding lens evaluation auxiliary model, can be based on ophthalmologist or optometry personnel, in the pre-set patient basic optometry parameter of fitting auxiliary system, can eliminate the existing ophthalmologist or optometry personnel directly to the patient and try on the evaluation and multiple try on the artificial uncertain factor, make the ophthalmologist or optometry personnel quickly obtain suitable corneal molding lens parameter, compared with the existing artificial fitting mode, can obtain more accurate corneal molding lens parameter at a time, and the better control visual acuity result is expected.
[0045] The above is only the preferred embodiment of the utility model, and does not limit the scope of the utility model, so the simple modification and equivalent structural change of the utility model specification and drawing content should be contained in the protection scope of the utility model, and it is hereby declared.
[0046] In summary, the intelligent fitting auxiliary system of the corneal molding lens based on the corneal topography can achieve the effect and purpose, so the utility model is a utility model with excellent practicability.
Claims
1. An intelligent fitting assistance system for orthokeratology lenses based on corneal topography, characterized in that: include: a detection module for obtaining an optometry parameter and a corneal feature of the patient; A corneal topography initialization module is provided in a fitting assistance system and is used to draw a corneal initial topography map based on the optometry parameters and the corneal characteristics; a corneal topography optimization module, provided in the fitting assistance system, for obtaining an optimized corneal topography map based on the initial corneal topography map; a model construction module, provided in the fitting assistance system, for obtaining a corneal refractive surgery lens evaluation assistance model based on a predetermined corneal refractive surgery lens parameter in combination with the optometry parameter, the corneal feature, and the corneal optimized topography; The orthokeratology lens evaluation auxiliary model is used to obtain a contact area of a lens positioning zone of the orthokeratology lens; and A model evaluation module is provided in the fitting assistance system and is used to obtain an evaluation result based on the orthokeratology lens evaluation auxiliary model and the contact area of the cornea.
2. The intelligent fitting assistance system for orthokeratology lenses based on corneal topography according to claim 1, characterized in that: The orthokeratology lens parameters are obtained by selecting the one with the closest parameters based on the optometry parameters and the corneal characteristics.
3. The intelligent fitting assistance system for orthokeratology lenses based on corneal topography according to claim 1, characterized in that: The corneal reshaping lens evaluation auxiliary model includes a lens and cornea interaction model and a fluorescent tear model.