CN112957004A - IOLMASter image-based crystalline lens curvature and diopter acquisition method and system - Google Patents
IOLMASter image-based crystalline lens curvature and diopter acquisition method and system Download PDFInfo
- Publication number
- CN112957004A CN112957004A CN202110136724.9A CN202110136724A CN112957004A CN 112957004 A CN112957004 A CN 112957004A CN 202110136724 A CN202110136724 A CN 202110136724A CN 112957004 A CN112957004 A CN 112957004A
- Authority
- CN
- China
- Prior art keywords
- lens
- curvature
- pixels
- radius
- anterior
- 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.)
- Granted
Links
- 210000000695 crystalline len Anatomy 0.000 title claims abstract description 218
- 238000000034 method Methods 0.000 title claims abstract description 30
- 210000004087 cornea Anatomy 0.000 claims abstract description 22
- 210000001742 aqueous humor Anatomy 0.000 claims description 5
- 238000011160 research Methods 0.000 abstract description 3
- 238000005259 measurement Methods 0.000 description 5
- 210000004127 vitreous body Anatomy 0.000 description 5
- 210000001508 eye Anatomy 0.000 description 4
- 210000005252 bulbus oculi Anatomy 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 208000002177 Cataract Diseases 0.000 description 1
- 238000007792 addition Methods 0.000 description 1
- 210000002159 anterior chamber Anatomy 0.000 description 1
- 230000004323 axial length Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000001886 ciliary effect Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000008602 contraction Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 210000003205 muscle Anatomy 0.000 description 1
- 230000004379 myopia Effects 0.000 description 1
- 208000001491 myopia Diseases 0.000 description 1
- 230000004423 myopia development Effects 0.000 description 1
- 238000012014 optical coherence tomography Methods 0.000 description 1
- 210000001525 retina Anatomy 0.000 description 1
- 210000001519 tissue Anatomy 0.000 description 1
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/1005—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for measuring distances inside the eye, e.g. thickness of the cornea
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/103—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for determining refraction, e.g. refractometers, skiascopes
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/107—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for determining the shape or measuring the curvature of the cornea
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/117—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for examining the anterior chamber or the anterior chamber angle, e.g. gonioscopes
- A61B3/1173—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for examining the anterior chamber or the anterior chamber angle, e.g. gonioscopes for examining the eye lens
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Biophysics (AREA)
- Ophthalmology & Optometry (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Eye Examination Apparatus (AREA)
Abstract
The invention relates to a method and a system for acquiring lens curvature and diopter based on IOLMmaster images, wherein the system is used for executing the following method: acquiring the curvature radius of the front surface of the cornea, the thickness value of the crystalline lens and a corresponding crystalline lens shape picture; acquiring cornea front surface pixels, crystalline lens front surface pixels and crystalline lens rear surface pixels; outputting a lens anterior surface radius of curvature value and a lens posterior surface radius of curvature value, wherein a ratio of the corneal anterior surface radius of curvature to the lens anterior surface radius of curvature value is equal to a ratio of corneal anterior surface pixels to lens anterior surface pixels and a ratio of corneal anterior surface radius of curvature to lens posterior surface radius of curvature is equal to a ratio of corneal anterior surface pixels to lens posterior surface pixels; outputting anterior and posterior surface refractive powers of the lens, total refractive power of the lens; the method can visually acquire the parameters of the crystalline lens based on the IOLMmaster image, and greatly improves the high efficiency of corresponding research.
Description
Technical Field
The present invention relates to a method and system for lens parameter calculation based on IOLMmaster images and a computer program product configured to implement the method.
Background
The lens is a biconvex transparent tissue, is fixedly suspended behind the iris in front of the vitreous body, is one of important refraction interstitials in the eyeball, and has the most important function of changing the diopter through contraction or relaxation of ciliary muscles, so that the focusing point of the eyeball can be accurately positioned on the retina when the eyeball looks far or near. The change of diopter is valuable for analyzing the refractive change and development trend of eyes, and particularly in the development of myopia, the influence of the change of the lens shape on the myopia is a worthy subject to be researched. However, no instrument can directly measure the change of the radian and the diopter of the crystalline lens at present, so the method for measuring, calculating and measuring the radian and the diopter of the crystalline lens is sought by utilizing the existing detection technology and combining the computer operation technology and the optical principle.
The IOLMASTER eye biological measuring instrument is an optical biological measuring instrument using non-contact technology, and accurately measures the axial length of the eye, the corneal curvature and the anterior chamber depth of a patient; the problem of accurately measuring the biological parameters of the eyes and accurately predicting the intraocular lens (IOL) to be implanted before cataract operation is innovatively solved, and the device is a high-precision instrument; IOLMASTER 700 is based on the measurement principle of optical coherence tomography, has a central wavelength of 1055mm, can scan from 6 angles, and can clearly display the parameters of the shape curve and thickness of the anterior and posterior surfaces of the cornea, the shape curve and thickness of the anterior and posterior surfaces of the crystalline lens, and the like; IOLMASTER 700 can image a full lens and has been able to directly measure values related to the curvature of the cornea and lens thickness, but has not been able to obtain the radius of curvature of the anterior and posterior surfaces of the lens; measurement of the curvature of the anterior and posterior surfaces of the lens is currently a challenge.
In view of the foregoing, there is a need for a method of acquiring lens curvature and diopter that enables intuitive acquisition of lens parameters based on IOLMmaster images.
Disclosure of Invention
The invention aims to provide a lens curvature and diopter acquisition method capable of visually acquiring lens parameters based on IOLMASter images.
In order to achieve the purpose, the invention adopts the technical scheme that:
a lens curvature and diopter acquisition method based on an IOLMaster image, comprising: acquiring the curvature radius of the front surface of the cornea, the thickness value of the crystalline lens and a corresponding crystalline lens shape picture; acquiring cornea front surface pixels, lens front surface pixels and lens rear surface pixels, wherein the lens front surface pixels, the lens rear surface pixels and the cornea front surface pixels are obtained by analyzing a lens form picture;
outputting a lens anterior surface radius of curvature value and a lens posterior surface radius of curvature value, wherein a ratio of the corneal anterior surface radius of curvature to the lens anterior surface radius of curvature value is equal to a ratio of corneal anterior surface pixels to lens anterior surface pixels and a ratio of corneal anterior surface radius of curvature to lens posterior surface radius of curvature is equal to a ratio of corneal anterior surface pixels to lens posterior surface pixels; outputting an anterior lens surface power and a posterior lens surface power; the total refractive power of the lens is output.
As a preferred technical solution, the value of the curvature radius of the anterior surface of the cornea and the thickness of the crystalline lens is measured by IOLMaster 700; the lens morphology picture is generated by IOLMaster 700.
As a preferable technical scheme, the lens morphology picture is analyzed by matlab to obtain corneal anterior surface pixels, lens anterior surface pixels and lens posterior surface pixels.
As a preferable technical scheme, the refractive power of the front surface of the lens is obtained by calculating the refractive index of the aqueous humor, the refractive index of the lens, the refractive index of the vitreous body, the curvature radius of the front surface of the lens and the curvature radius of the rear surface of the lens: anterior lens surface power: fa ═ (n 2-n 1)/Ca; lens posterior surface refractive power: fb ═ (n 3-n 2)/Cp; wherein the refractive index of the aqueous humor is n1, the refractive index of the lens is n2, the refractive index of the vitreous body is n3, and the value of the radius of curvature of the anterior surface of the lens, Ca, and the value of the radius of curvature of the posterior surface of the lens, Cp, are both in meters.
As a preferable technical scheme, the total refractive power of the lens is obtained by calculating the front surface refractive power of the lens, the back surface refractive power of the lens, the thickness of the lens and the refractive index of the lens: total refractive power of lens: ft is Fa + Fb-LT × Fa × Fb/n 2; wherein the lens thickness is LT in meters.
It is another object of the present invention to provide a lens curvature and diopter acquisition system capable of visually acquiring lens parameters based on IOLMMaster images.
In order to achieve the purpose, the invention adopts the technical scheme that:
a lens curvature and diopter acquisition system based on an IOLMaster image comprising: an acquisition module: the device is used for acquiring the curvature radius of the front surface of the cornea, the thickness value of the crystalline lens, a corresponding crystalline lens shape picture and parameter information of pixels of the front surface of the cornea, pixels of the front surface of the crystalline lens and pixels of the rear surface of the crystalline lens; an output module: the lens front surface refractive power, the lens back surface refractive power and the total refractive power of the lens are output; the IOLMASTER image-based lens curvature and diopter acquisition system executes the IOLMASTER image-based lens curvature and diopter acquisition method of any one of claims 1 to 5.
The invention also provides a storage medium which comprises a stored program, wherein when the program runs, the equipment on which the storage medium is arranged is controlled to execute the IOLMmaster image-based lens curvature and diopter acquisition method.
The invention also provides a processor for running a program, wherein the program runs to execute the IOLMmaster image-based lens curvature and diopter acquisition method.
The invention has the advantages that:
the method and the system for obtaining the lens curvature and the diopter based on the IOLMMaster image realize the application of intuitively obtaining the lens parameters based on the IOLMMaster image, can directly feed back the measurement result of the lens, directly output the curvature radius value of the front surface of the lens and the curvature radius value of the rear surface of the lens, and further directly output the front surface refractive power of the lens, the rear surface refractive power of the lens and the total refractive power of the lens.
Drawings
FIG. 1 is a flow chart of a method for obtaining lens curvature and diopter based on IOLMmaster image.
FIG. 2 is a block diagram of a lens curvature and diopter acquisition system based on an IOLMmaster image according to the present invention.
Detailed Description
The invention will be further illustrated with reference to specific embodiments. It should be understood that these examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Furthermore, it should be understood that various changes and modifications can be made by those skilled in the art after reading the disclosure of the present invention, and equivalents fall within the scope of the appended claims.
The reference numerals and components referred to in the drawings are as follows:
22. acquisition module 24 output module
Example 1
Referring to fig. 1, fig. 1 is a flow chart of a method for obtaining curvature and diopter of a lens based on an IOLMaster image according to the present invention. A method for obtaining lens curvature and diopter based on IOLMaster images, the method at least comprising the steps of:
step S100: acquiring the curvature radius of the front surface of the cornea, the thickness value of the crystalline lens and a corresponding crystalline lens shape picture;
in some embodiments of the present application, the anterior corneal surface radius of curvature and lens thickness values are measured by IOLMASTER 700; a lens morphology picture is also generated by iolmmaster 700;
step S102: acquiring cornea front surface pixels, lens front surface pixels and lens rear surface pixels, wherein the lens front surface pixels, the lens rear surface pixels and the cornea front surface pixels are obtained by analyzing a lens form picture;
in some embodiments of the present application, the lens morphology picture is imported into matlab software, and the matlab software is used for analyzing to obtain corneal anterior surface pixels, lens anterior surface pixels and lens posterior surface pixels respectively;
step S104: outputting a lens anterior surface radius of curvature value and a lens posterior surface radius of curvature value, wherein a ratio of the corneal anterior surface radius of curvature to the lens anterior surface radius of curvature value is equal to a ratio of corneal anterior surface pixels to lens anterior surface pixels and a ratio of corneal anterior surface radius of curvature to lens posterior surface radius of curvature is equal to a ratio of corneal anterior surface pixels to lens posterior surface pixels;
step S106: outputting an anterior lens surface power and a posterior lens surface power;
in some embodiments of the present application, the refractive powers of the anterior and posterior surfaces of the lens are obtained by matlab software based on the aqueous refractive index, lens refractive index, vitreous refractive index, and anterior and posterior lens surface radii of curvature:
anterior lens surface power: fa ═ (n 2-n 1)/Ca;
lens posterior surface refractive power: fb ═ (n 3-n 2)/Cp;
wherein the refractive index of the aqueous humor is n1, the refractive index of the crystalline lens is n2, the refractive index of the vitreous body is n3, and the front surface curvature radius value Ca and the rear surface curvature radius value Cp of the crystalline lens are both in meters;
step S108: outputting a total refractive power of the lens;
in some embodiments of the present application, the anterior lens surface power, the posterior lens surface power, the lens thickness, the lens refractive index are input and obtained by matlab software:
total refractive power of lens: ft + Fa + Fb-LT x Fa x Fb/n2
Wherein the lens thickness is LT in meters.
It should be noted that: according to the IOLMmaster image-based crystalline lens curvature and diopter obtaining method, the front surface curvature radius value Ca and the rear surface curvature radius value Cp of the crystalline lens are obtained through pixel comparison, so that the front surface curvature radius value Ca and the rear surface curvature radius value Cp of the crystalline lens can be directly obtained by using the IOLMmaster image, rapidness, high efficiency and high correspondence are achieved, the front surface refractive power and the rear surface refractive power of the crystalline lens and the total refractive power of the crystalline lens can be directly obtained, the direct measurement of the crystalline lens form and diopter is achieved, and the research on the crystalline lens and the related application research are enhanced.
Referring to fig. 2, fig. 2 is a block diagram of a lens curvature and diopter acquisition system based on an IOLMaster image according to the present invention. A lens curvature and diopter acquisition system based on an IOLMaster image comprising:
the acquisition module 22: the device is used for acquiring parameter information of the curvature radius of the front surface of the cornea, the thickness value of the crystalline lens, a corresponding crystalline lens shape picture, pixels of the front surface of the cornea, pixels of the front surface of the crystalline lens and pixels of the rear surface of the crystalline lens;
the output module 24: the lens front surface refractive power, the lens back surface refractive power and the total refractive power of the lens are output; the IOLMASTER image-based lens curvature and diopter acquisition system can execute the IOLMASTER image-based lens curvature and diopter acquisition method, and can realize direct reading of the lens measurement result by an instrument.
It should be noted that: the protection scope of the present invention also includes a processor executing the IOLMmaster image-based lens curvature and diopter acquisition method, an operation program thereof, and a storage medium storing the operation program thereof.
Example 2
The present embodiment will be described with reference to specific data:
obtaining a measured lens shape picture through an IOLMmaster 700, and obtaining a measured cornea front surface curvature radius of 7.80mm and a pixel of 252; while the anterior lens surface pixel is 410 and the posterior lens surface pixel is 240; according to the pixel comparison: the cornea anterior surface radius of curvature/lens anterior surface radius of curvature is 252/410, and the value of the lens anterior surface radius of curvature Ca is obtained: 12.69 mm; the anterior corneal surface radius of curvature/posterior lens surface radius of curvature is 252/240, and the value of posterior lens surface radius of curvature Cp is obtained: 7.43 mm.
The refractive index of the aqueous humor is n 1-1.3333, the refractive index of the lens is n 2-1.4160, the refractive index of the vitreous body is n 3-1.3333, and the lens thickness LT is 3.34 mm.
Anterior lens surface power: fa ═ (n 2-n 1)/Ca (where Ca is in meters);
and (3) outputting: anterior lens surface power: fa 6.52D
Lens posterior surface refractive power: fb ═ n 3-n 2/Cp (where Cp is in meters);
and (3) outputting: lens posterior surface refractive power: Fb-11.13D
Total refractive power of lens: ft is Fa + Fb-LT × Fa × Fb/n2 (where LT is in meters);
and (3) outputting: total refractive power of lens: ft is 17.82D
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and additions can be made without departing from the principle of the present invention, and these should also be considered as the protection scope of the present invention.
Claims (8)
1. A method for obtaining lens curvature and diopter based on an IOLMaster image, comprising:
acquiring the curvature radius of the front surface of the cornea, the thickness value of the crystalline lens and a corresponding crystalline lens shape picture;
acquiring cornea front surface pixels, lens front surface pixels and lens rear surface pixels, wherein the lens front surface pixels, the lens rear surface pixels and the cornea front surface pixels are obtained by analyzing a lens form picture;
outputting a lens anterior surface radius of curvature value and a lens posterior surface radius of curvature value, wherein a ratio of the corneal anterior surface radius of curvature to the lens anterior surface radius of curvature value is equal to a ratio of corneal anterior surface pixels to lens anterior surface pixels and a ratio of corneal anterior surface radius of curvature to lens posterior surface radius of curvature is equal to a ratio of corneal anterior surface pixels to lens posterior surface pixels;
outputting an anterior lens surface power and a posterior lens surface power;
the total refractive power of the lens is output.
2. The IOLMASTER image-based lens curvature and power estimation method of claim 1, wherein the anterior corneal surface radius of curvature and lens thickness values are measured by IOLMASTER 700; the lens morphology picture is generated by IOLMaster 700.
3. The IOLMaster image-based lens curvature and diopter estimation method according to claim 1, wherein the lens morphology picture is analyzed by matlab to obtain corneal anterior surface pixels, lens anterior surface pixels and lens posterior surface pixels.
4. The IOLMmaster image based lens curvature and power estimation method of claim 1, wherein the lens anterior surface power is calculated from the aqueous refractive index, the lens refractive index, the vitreous refractive index and the lens anterior surface radius of curvature, the lens posterior surface radius of curvature:
anterior lens surface power: fa ═ (n 2-n 1)/Ca;
lens posterior surface refractive power: fb ═ (n 3-n 2)/Cp;
wherein the aqueous humor has a refractive index of n1, the lens has a refractive index of n2, the vitreous has a refractive index of n3, the anterior surface of the lens has a radius of curvature value Ca and the posterior surface of the lens has a radius of curvature value Cp.
5. The IOLMmaster image based lens curvature and power estimation method of claim 4, wherein the total lens power is calculated from the anterior lens surface power, the posterior lens surface power, the lens thickness, the lens refractive index:
total refractive power of lens: ft + Fa + Fb-LT x Fa x Fb/n2
Wherein the lens thickness is LT.
6. A lens curvature and diopter acquisition system based on an IOLMaster image, comprising:
an acquisition module: the device is used for acquiring the curvature radius of the front surface of the cornea, the thickness value of the crystalline lens, a corresponding crystalline lens shape picture and parameter information of pixels of the front surface of the cornea, pixels of the front surface of the crystalline lens and pixels of the rear surface of the crystalline lens;
an output module: the lens front surface refractive power, the lens back surface refractive power and the total refractive power of the lens are output;
the IOLMASTER image-based lens curvature and diopter acquisition system executes the IOLMASTER image-based lens curvature and diopter acquisition method of any one of claims 1 to 5.
7. A storage medium comprising a stored program, wherein the program when executed controls an apparatus on which the storage medium is located to perform the IOLMaster image-based lens curvature and diopter acquisition method of any one of claims 1 to 5.
8. A processor for running a program, wherein the program is run to perform the IOLMaster image based lens curvature and diopter acquisition method of any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110136724.9A CN112957004B (en) | 2021-02-01 | 2021-02-01 | Lens curvature and diopter acquisition method and system based on IOLMaster image |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110136724.9A CN112957004B (en) | 2021-02-01 | 2021-02-01 | Lens curvature and diopter acquisition method and system based on IOLMaster image |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112957004A true CN112957004A (en) | 2021-06-15 |
| CN112957004B CN112957004B (en) | 2023-12-19 |
Family
ID=76272793
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110136724.9A Active CN112957004B (en) | 2021-02-01 | 2021-02-01 | Lens curvature and diopter acquisition method and system based on IOLMaster image |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112957004B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114027883A (en) * | 2021-11-08 | 2022-02-11 | 中山大学中山眼科中心 | Method, device and system for measuring biological parameters of lens |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2005030044A1 (en) * | 2003-09-23 | 2005-04-07 | Carl Zeiss Meditec Ag | Method for measuring an intraocular lens |
| CN101617966A (en) * | 2008-07-02 | 2010-01-06 | 南开大学 | After-cornea refractive surgery artificial lens design |
| CN110123488A (en) * | 2019-05-27 | 2019-08-16 | 中国计量科学研究院 | Intraocular lens' diopter Test lenses and valued methods |
| CN111653364A (en) * | 2020-07-09 | 2020-09-11 | 王世明 | Intraocular lens refractive power calculation method and device |
| CN112120666A (en) * | 2020-10-14 | 2020-12-25 | 上海爱尔眼科医院有限公司 | Lens refractive power measuring and calculating method, device, equipment and storage medium |
-
2021
- 2021-02-01 CN CN202110136724.9A patent/CN112957004B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2005030044A1 (en) * | 2003-09-23 | 2005-04-07 | Carl Zeiss Meditec Ag | Method for measuring an intraocular lens |
| CN101617966A (en) * | 2008-07-02 | 2010-01-06 | 南开大学 | After-cornea refractive surgery artificial lens design |
| CN110123488A (en) * | 2019-05-27 | 2019-08-16 | 中国计量科学研究院 | Intraocular lens' diopter Test lenses and valued methods |
| CN111653364A (en) * | 2020-07-09 | 2020-09-11 | 王世明 | Intraocular lens refractive power calculation method and device |
| CN112120666A (en) * | 2020-10-14 | 2020-12-25 | 上海爱尔眼科医院有限公司 | Lens refractive power measuring and calculating method, device, equipment and storage medium |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114027883A (en) * | 2021-11-08 | 2022-02-11 | 中山大学中山眼科中心 | Method, device and system for measuring biological parameters of lens |
| CN114027883B (en) * | 2021-11-08 | 2023-06-23 | 中山大学中山眼科中心 | Method, device and system for measuring biological parameters of crystalline lens |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112957004B (en) | 2023-12-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR102035182B1 (en) | Calculating an intraocular lens (iol)power according to a directly determined iol location | |
| Borkovkina et al. | Real-time retinal layer segmentation of OCT volumes with GPU accelerated inferencing using a compressed, low-latency neural network | |
| Ortiz et al. | Full OCT anterior segment biometry: an application in cataract surgery | |
| Uozato et al. | Modulation transfer function of intraocular collamer lens with a central artificial hole | |
| CN105231990B (en) | Device and method for analyzing biomechanical property of cornea based on OCT three-dimensional imaging | |
| JP2003144387A (en) | Method and device for displaying information on selection for intraocular lens | |
| Tognetto et al. | Analysis of the optical quality of intraocular lenses | |
| JPWO2013187361A1 (en) | Method and system for determining power of inserted intraocular lens | |
| JP2017205525A (en) | Determining intraocular physical length using multiple refractive indices | |
| CN111653364B (en) | Method and device for calculating refractive power of intraocular lens | |
| CN112957004B (en) | Lens curvature and diopter acquisition method and system based on IOLMaster image | |
| CA3197517A1 (en) | Selection of a preferred intraocular lens based on ray tracing | |
| Gillner et al. | Automatic intraocular lens segmentation and detection in optical coherence tomography images | |
| CN212234797U (en) | Artificial lens | |
| JP2017505698A (en) | System and method for determining intraocular lens power | |
| US20210149218A1 (en) | Specialty contact lens design and manufacturing | |
| CN112700863A (en) | Method for accurately evaluating diopter based on Scheimpflug anterior segment morphology and application | |
| RU2744556C1 (en) | Method for determining the position and dimensions of the anterior capsulorhexis opening after phacoemulsification | |
| Chen et al. | Distribution and associated factors of crystalline lens volume in noncataract adolescents and adults and patients with cataract in a Chinese population | |
| CN118285743A (en) | Calculation method, calculation equipment and calculation system for eye peripheral eye axial length of human eyes | |
| Norrby | The lens haptic plane (LHP) a fixed reference for IOL implant power calculation | |
| US20230008122A1 (en) | System and method for selection of a preferred intraocular lens | |
| Hu et al. | Research progress on prediction of postoperative intraocular lens position | |
| CN111437061A (en) | Artificial lens and design method thereof | |
| CN113017916A (en) | Cataract artificial lens column lens calculating system |
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 |