CN115798716A - Method, device, equipment and medium for predicting total astigmatism after cataract surgery - Google Patents
Method, device, equipment and medium for predicting total astigmatism after cataract surgery Download PDFInfo
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- CN115798716A CN115798716A CN202211432382.6A CN202211432382A CN115798716A CN 115798716 A CN115798716 A CN 115798716A CN 202211432382 A CN202211432382 A CN 202211432382A CN 115798716 A CN115798716 A CN 115798716A
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Abstract
The application relates to the prediction of total astigmatism after cataract surgery, in particular to a prediction method of total astigmatism after cataract surgery, which comprises the following steps: acquiring an original image and original data of a cornea of a patient; forming simulated incision surgery-derived astigmatism data based on a simulated surgical incision on an original image of a patient's cornea; and calculating to generate a total postoperative astigmatism of the patient based on the original astigmatism data and the surgically-derived astigmatism data of the cornea of the patient. The method comprises the steps of acquiring an original image and original data of a patient before an operation, performing a simulated operation incision on the original image of the patient, and calculating and generating total postoperative astigmatism of the patient according to the original astigmatism data and the total postoperative astigmatism data of the patient.
Description
Technical Field
The application relates to the prediction of total postoperative astigmatism of a cataract patient, in particular to a prediction method, a prediction device and a prediction medium of total postoperative astigmatism of the cataract patient.
Background
Cataract refers to the phenomenon of opacity caused by degeneration of lens proteins due to metabolic disorder of lens caused by various reasons such as aging, hereditary, local dystrophy, immune and metabolic abnormalities, trauma, poisoning, radiation, etc. After cataract, light is blocked by the clouded crystalline lens and cannot be projected on the retina, resulting in blurred vision.
At present, after suffering from cataract, the cataract can be solved through operation, but due to the operation incision, the cataract operation can bring a certain degree of astigmatism to a patient, which is commonly called as operation-induced astigmatism. The operation-induced astigmatism is the total astigmatism of the original astigmatism and the operation-induced astigmatism, which is determined by the data of the total astigmatism influence of the patient after the operation because the operation can destroy and change the size and the axial position of the original astigmatism of the patient. The total astigmatism has great influence on the vision after cataract operation and the selection and calculation of the intraocular lens, and the individualized and accurate measurement and calculation of the total astigmatism after cataract operation is of great importance to the improvement of the postoperative vision quality by adopting corresponding technology. Therefore, the total astigmatism can be used for optimizing the surgical incision scheme to control the postoperative total astigmatism, and can also provide accurate postoperative total astigmatism data for intraocular lens data calculation.
At present, before cataract operation is carried out on a cataract patient, the postoperative astigmatism degree of the cataract patient is estimated, in actual life, because the diameters of corneas of the patients are different, the lengths of conjunctiva reversal points entering the corneas are different, the distance difference from the center of the cornea during incision is larger, and the influence on the degree of the postoperative astigmatism is larger.
Disclosure of Invention
In order to improve the accuracy of predicting postoperative total astigmatism of a cataract patient, the application provides a method, a device, equipment and a medium for predicting postoperative total astigmatism of the cataract patient, the method comprises the steps of collecting an original image and original data of the patient preoperatively, simulating a surgical incision on the basis of the original image of the patient, and calculating and generating postoperative total astigmatism of the patient according to the original data and the simulated surgical incision of the patient.
In a first aspect, the present application provides a method for predicting total astigmatism after cataract surgery, which adopts the following technical scheme:
a method for predicting total astigmatism after cataract surgery comprises the following steps:
acquiring an original image and original data of a cornea of a patient;
calculating surgery-induced astigmatism data of the simulated surgery incision based on the simulated surgery incision on the original image of the cornea of the patient; and
calculating to generate total postoperative astigmatism of the patient based on the original data of the cornea of the patient and the surgically-induced astigmatism data of the simulated surgical incision.
Preferably, the method further comprises transforming and adjusting the simulated surgical incision, generating a plurality of groups of postoperative total astigmatism data, and selecting a better simulated surgical incision suitable for the patient as the actual surgical incision.
Preferably, the raw data includes the location of the corneal center point, the patient's pre-operative astigmatism F Before operation And the axis β of the patient's pre-operative astigmatism.
Preferably, the original image is a shot anterior ocular segment photograph.
Preferably, the simulated cut data includes a simulated cut length L, a simulated cut angle γ, and a distance d from a center point of the cornea to a center point of the simulated cut length L.
Preferably, the simulated surgical incision imparts to the patient a surgically-induced astigmatism F SIA The calculation formula of (2) is as follows:
preferably, the patient's total postoperative astigmatism F Post-operative The calculation formula of (2) is as follows:
tanθ＝(F before operation sinβ+F SIA sinα)/(F Before operation cosβ+F SIA cosα)；
Wherein alpha is the axial position of the simulated surgical incision, and when the axial position alpha of the simulated surgical incision is more than or equal to 90 degrees, a is gamma-90; when the axial position alpha of the simulated surgical incision is less than 90 degrees, a is gamma +90; θ is the axis of total postoperative astigmatism.
In a second aspect, the present application provides a device for predicting total astigmatism after cataract surgery, which adopts the following technical solutions:
a device for predicting total astigmatism after cataract surgery, comprising:
the acquisition module is used for acquiring an original image and original data of a cornea of a patient;
the display module is used for displaying the original image of the cornea of the patient on a screen;
a simulated cutting module for simulating a surgical incision on an original image of a patient's cornea by an operator; and
a calculation module for calculating and generating a total postoperative astigmatism of the patient based on the raw data and the simulated incision data of the cornea of the patient.
In a third aspect, the present application provides a device for predicting total astigmatism after cataract surgery, which adopts the following technical scheme:
a device for predicting total post-cataract astigmatism, comprising:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: performing a method of predicting total astigmatism after cataract surgery according to any one of the above
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements a method for predicting total astigmatism after cataract surgery as described in any one of the above.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the prediction method comprises the steps of collecting an original image and original data of a patient before an operation, performing a simulated operation incision on the basis of the original image of the patient, and calculating and generating total postoperative astigmatism of the patient according to the original data and the simulated operation incision of the patient.
2. The prediction method has the advantages that the operator independently selects the simulated surgical incision and the incision axis position, the individualized surgical astigmatism data of the patient are calculated, different simulated surgical incisions can be continuously changed and adjusted, the surgical habits of surgeons are met, the better optimal simulated surgical incision which is more suitable for the patient can be selected as the actual surgical incision of the patient, the prediction of the postoperative total astigmatism of the patient can be improved, and accurate data are provided for the postoperative total astigmatism correction of cataract and the intraocular lens selection.
3. The operator can calculate the operation-derived astigmatism of the patient through the individual difference of the patient, and then calculate the total postoperative astigmatism of the patient according to the individual difference of the patient, so that the accuracy of the prediction of the total postoperative astigmatism of the patient is improved.
Drawings
Fig. 1 is a flow chart of an embodiment of the present application.
FIG. 2 is a schematic view of a simulated surgical incision in an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to the attached drawings.
A person skilled in the art, after reading the present specification, may make modifications to the present embodiments as necessary without inventive contribution, but only within the scope of the claims of the present application are protected by patent laws.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship, unless otherwise specified.
The embodiments of the present application will be described in further detail with reference to the drawings attached hereto.
The embodiment of the application provides a method for predicting total astigmatism after cataract surgery, which is executed by an electronic device, wherein the electronic device can be a server or a terminal device, the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and a cloud server for providing cloud computing service. The terminal device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, and the like, but is not limited thereto, and the terminal device and the server may be directly or indirectly connected through wired or wireless communication, and the embodiment of the present application is not limited thereto.
As shown in fig. 1, a method for predicting total astigmatism after cataract surgery includes the following steps:
s1, collecting an original image and original data of a cornea of a patient;
s101, collecting an original image of a cornea of a patient;
before operation, the original image of the cornea of the patient is collected and stored.
Wherein the original image is a shot photograph of an anterior segment of the patient;
s102, collecting original data of a cornea of a patient;
acquiring original data of a patient cornea based on an anterior segment picture of an original image of the patient and a keratometer or a corneal topography, and recording and storing the original data;
wherein the raw data comprises a position of a corneal center point of the patient, a preoperative astigmatism of the patient, and an axis β of the preoperative astigmatism of the patient.
S2, simulating an operation incision to form simulated incision data;
simulating a surgical incision on the original image of the patient's cornea to form simulated incision data;
in particular, simulating a surgical incision includes simulating an incision location, incision length, and incision axis for a procedure on a patient's cornea. The simulated operation incision is divided into two forms, one is that the doctor uses an auxiliary device to directly draw lines on an original image manually, and the other is that the doctor directly inputs simulated cutting data on a keyboard.
Referring to fig. 2, wherein the simulated cut data includes a simulated cut length L on the patient's cornea, a simulated cut angle γ, and a distance d from a central point of the cornea to a simulated cut position cut marker point, which is a midpoint of the simulated cut length L.
S3, calculating the total postoperative astigmatism of the patient;
based on the raw data and the simulated incision data of the patient's cornea, a calculation is made to generate a total postoperative astigmatism for the patient.
S301, calculating the surgically-induced astigmatism F of the patient SIA ；
Calculating a surgical source for a patient based on a simulated surgical incision simulated by a surgeon on an original image of the patientSexual astigmatism F SIA Wherein the patient's surgically-induced astigmatism F SIA The calculation formula of (2) is as follows:
wherein, F SIA For the patient's surgically-induced astigmatism, L is the simulated cut length and d is the distance between the corneal center point and the simulated cut location notch marker point.
S302, calculating total postoperative astigmatism F of the patient SIA ；
Based on raw data of the patient's cornea and the patient's surgically-induced astigmatism F SIA Calculating the total postoperative astigmatism F of the patient SIA ；
Patient's total postoperative astigmatism F SIA The calculation formula of (2) is as follows:
tanθ＝(F preoperative in sinβ+F SIA sinα)/(F Before operation cosβ+F SIA cosα)；
Wherein alpha is the axial position of the simulated surgical incision, and a is gamma-90 when the axial position alpha of the simulated surgical incision is more than or equal to 90 degrees; when the axial position alpha of the simulated surgical incision is less than 90 degrees, a is gamma +90; β is the axis of the patient's pre-operative astigmatism and θ is the axis of the patient's post-operative total astigmatism.
S4, outputting accurate individual total astigmatism data for artificial crystal selection and calculation; converting and adjusting the simulated surgical incision to generate a plurality of groups of post-operative total astigmatism data, and selecting a better simulated surgical incision suitable for the patient as an actual surgical incision;
specifically, the postoperative total astigmatism data of the patient obtained in the step S3 is output for artificial lens selection and calculation;
then, the operator continuously changes and adjusts the simulated operation incision on the anterior segment picture of the cornea of the patient, wherein, both the simulated scribing mode and the mode of manually inputting the simulated data by the operator are adopted, the simulated operation incisions are enabled to be outwards distributed as uniformly as possible around the central point of the cornea of the patient, a plurality of groups of simulated incision data are generated, the postoperative total astigmatism data of a plurality of groups of patients are calculated and generated according to the steps S1 to S3, and are recorded one by one, and the better simulated operation incision suitable for the patient is selected as the actual operation incision.
The above embodiment introduces a method for predicting total astigmatism after cataract surgery from the perspective of method flow, and the following embodiment introduces a device for predicting total astigmatism after cataract surgery from the perspective of virtual module or virtual unit, which is described in detail in the following embodiments.
The embodiment of the application also provides a device for predicting total astigmatism after cataract surgery, which comprises the following modules:
an acquisition module; the method is used for acquiring original images and original data of the cornea of a patient, wherein the original images and the original data comprise the shooting of an anterior segment picture of the cornea of the patient, and the acquisition of the position of the central point of the cornea of the patient and the preoperative astigmatism F of the patient Before operation And an axis β of the patient's preoperative astigmatism;
the display module is used for displaying the picture of the anterior segment of the eye of the patient shot by the acquisition module on a screen;
the simulation cutting module is used for simulating a surgical incision on an original image of the cornea of the patient by an operator and generating simulation incision data; and
the calculation module is used for firstly calculating and generating the surgical astigmatism based on the original data and the simulated incision data of the patient cornea and then calculating and generating the postoperative total astigmatism of the patient according to the original data and the surgical astigmatism of the patient cornea.
The embodiment of the application also provides a total astigmatism's prediction equipment after cataract surgery, and prediction equipment electricity includes: a processor and a memory. Wherein the processor is coupled to the memory, such as via a bus. Optionally, the electronic device may further comprise a transceiver. It should be noted that the transceiver in practical application is not limited to one, and the structure of the electronic device does not constitute a limitation to the embodiments of the present application.
The Processor may be a CPU (Central Processing Unit), a general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other Programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. A processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, a combination of a DSP and a microprocessor, and the like.
A bus may include a path that transfers information between the above components. The bus may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc.
The Memory may be, but is not limited to, a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory is used for storing application program codes for executing the scheme of the application and is controlled by the processor to execute. The processor is configured to execute the application program code stored in the memory to implement the aspects illustrated in the foregoing method embodiments.
Among them, electronic devices include but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. But also a server, etc. The electronic device shown in fig. 1 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
Embodiments of the present application provide a computer-readable storage medium having stored thereon a computer program which, when run on a computer, enables the computer to perform the corresponding aspects of the method embodiments for predicting total post-cataract astigmatism.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The foregoing is only a partial embodiment of the present application, and it should be noted that, for those skilled in the art, several modifications and decorations can be made without departing from the principle of the present application, and these modifications and decorations should also be regarded as the protection scope of the present application.
Claims (10)
1. A method for predicting total astigmatism after cataract surgery is characterized by comprising the following steps:
acquiring an original image and original data of a cornea of a patient;
calculating the surgery-induced astigmatism data of the simulated surgical incision based on the simulated surgical incision on the original image of the patient cornea; and
calculating to generate a total postoperative astigmatism of the patient based on the raw data of the patient's cornea and the surgically-derived astigmatism data of the simulated surgical incision.
2. The method of claim 1, further comprising transforming and adjusting the simulated surgical incision to generate a plurality of sets of data of total post-operative astigmatism, and selecting a preferred simulated surgical incision suitable for the patient as the actual surgical incision.
3. The method of claim 1, wherein the raw data includes the location of the corneal center point, the pre-operative astigmatism F of the patient Before operation And an axis β of the patient's preoperative astigmatism.
4. The method of claim 3, wherein the original image is a photograph of the anterior segment of the eye.
5. The method of claim 4, wherein the simulated incision data comprises a simulated incision length L, a simulated incision angle γ, and a distance d from a central point of the cornea to the central point of the simulated incision length L.
6. The method of claim 5, wherein the simulated surgical incision is used to predict the resulting total astigmatism F SIA The calculation formula of (2) is as follows:
7. the method of claim 6, wherein the patient's total postoperative astigmatism F is After operation Is calculated by the formula：
tanθ＝(F Before operation sinβ+F SIA sinα)/(F Before operation cosβ+F SIA cosα)；
Wherein alpha is the axial position of the simulated surgical incision, and when the axial position alpha of the simulated surgical incision is more than or equal to 90 degrees, a is gamma-90; when the axial position alpha of the simulated surgical incision is less than 90 degrees, a is gamma +90; θ is the axis of total postoperative astigmatism.
8. A device for predicting total astigmatism after cataract surgery, comprising:
the acquisition module is used for acquiring an original image and original data of a cornea of a patient;
the display module is used for displaying the original image of the cornea of the patient on a screen;
a simulated cutting module for simulating a surgical incision on an original image of a patient's cornea by an operator; and
a calculation module for calculating and generating a total postoperative astigmatism of the patient based on the raw data and the simulated incision data of the cornea of the patient.
9. A device for predicting total post-cataract astigmatism, comprising:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: performing a method of predicting total astigmatism after cataract surgery according to any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out a method of predicting total post-cataract astigmatism as claimed in any one of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211432382.6A CN115798716A (en) | 2022-11-15 | 2022-11-15 | Method, device, equipment and medium for predicting total astigmatism after cataract surgery |
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| CN202211432382.6A CN115798716A (en) | 2022-11-15 | 2022-11-15 | Method, device, equipment and medium for predicting total astigmatism after cataract surgery |
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