CN113298794A - Corneal surface shape construction method and device, terminal device and storage medium - Google Patents
Corneal surface shape construction method and device, terminal device and storage medium Download PDFInfo
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Abstract
The invention relates to the technical field of corneas, and discloses a method, a device, a terminal device and a computer storage medium for constructing the surface shape of a cornea, wherein cornea detection data are obtained; determining a characteristic axis according to the cornea detection data, and constructing an axial section shape of the characteristic axis; constructing a transition region curved surface shape between the characteristic axes according to a preset transition region algorithm; and splicing the axial section shape and the curved surface shape of the transition area to construct the surface shape of the cornea. Compared with the existing measurement and modeling description mode for the corneal surface shape, the corneal surface shape construction method has the advantages that the corneal shape construction can be still carried out for the irregular corneal surface under the condition that the corneal detection data obtained by detection are limited, and the constructed corneal surface shape has higher accuracy compared with the corneal surface shape constructed based on a fixed model, so that the corneal surface shape construction efficiency is effectively improved.
Description
Technical Field
The present invention relates to the field of corneal technologies, and in particular, to a method and an apparatus for constructing a corneal surface shape, a terminal device, and a computer storage medium.
Background
Currently, the anterior surface shape of the cornea must be estimated for the design and fit of corneal contact lenses. In clinical practice, most corneal topographers are used for measuring the front surface of the cornea, and most corneal topographers only output two parameters of radius of curvature and eccentricity of the cornea, so that for corneal samples with good rotational symmetry, a fixed model constructed by using the two parameters is used for describing the real shape of the corneal sample; for corneal samples with poor rotational symmetry (e.g., astigmatic cornea) or corneal samples with poor rotational symmetry but good axial symmetry, ellipsoids with axial symmetry are often used for simulation.
However, on the one hand, describing a cornea with a distribution using a fixed model inherently has systematic errors, and on the other hand, for a cornea sample with a more irregular shape, such as a cornea with a free-form surface, it is difficult to accurately describe the cornea sample using either of the two models.
In summary, the existing methods for measuring and modeling corneal surface shape have limited detectable corneal parameters, which are not enough to construct an accurate corneal surface shape, and the existing models and tools cannot be used to construct the corneal surface shape when the corneal surface shape is irregular and non-axisymmetric.
Disclosure of Invention
The invention mainly aims to provide a method, a device, a terminal device and a computer storage medium for constructing a corneal surface shape, and aims to solve the technical problems that an accurate corneal surface shape cannot be constructed and obtained in the existing measurement and modeling description mode for the corneal surface shape under the condition that corneal parameters which can be detected are limited, and the corneal surface shape cannot be constructed and obtained by adopting the existing model and tools even under the condition that the corneal surface shape is irregular and not axisymmetric.
In order to achieve the above object, the present invention provides a method for constructing a corneal surface shape, comprising the steps of:
acquiring cornea detection data;
determining a characteristic axis according to the cornea detection data, and constructing an axial section shape of the characteristic axis;
constructing a transition region curved surface shape between the characteristic axes according to a preset transition region algorithm;
and splicing the axial section shape and the curved surface shape of the transition area to construct the surface shape of the cornea.
Further, before the step of acquiring corneal measurement data, the method further comprises:
calling a preset cornea topographic map instrument to detect the cornea with the surface shape to be constructed;
the step of acquiring corneal measurement data comprises:
corneal inspection data for inspecting the cornea is acquired from the corneal topographer.
Further, the step of determining a characteristic axis from the corneal measurement data and constructing an axial cross-sectional shape of the characteristic axis includes:
selecting a characteristic axis position by adopting a clinical experience and/or medical judgment mode;
reading corneal parameters of the characteristic axis from the corneal inspection data;
and calling a preset fixed model to construct and obtain the axial section shape of the characteristic axis based on the corneal parameters.
Further, after the constructing the shaft cross-sectional shape of the characteristic shaft, the method further includes:
verifying the shape of the cross section of the shaft by using a cross-validation method;
and if the accuracy of the shaft section shape does not accord with the statistical judgment, correcting the preset fixed model until the accuracy accords with the statistical judgment.
Further, the transition region algorithm is performed by using an interpolation or fitting method, and the step of constructing the curved surface shape of the transition region between the characteristic axes according to a preset transition region algorithm includes:
determining characteristic axes positions of a transition region between the characteristic axes;
selecting target cornea detection data of the characteristic axial position from the cornea detection data and constructing a characteristic axial position cornea shape;
and calculating the target cornea detection data based on the transition region algorithm by using an interpolation or fitting mode so as to construct and obtain the curved surface shape of the transition region between the characteristic axes.
Further, the interpolation method includes: polynomial interpolation and Bessel interpolation, the fitting method comprises: the fitting of a polynomial is carried out,
wherein the polynomial interpolation comprises: based on one-dimensional interpolation under the cylindrical coordinate system and the same r value and based on two-dimensional interpolation of discrete points under the three-dimensional rectangular coordinate system;
the Bessel interpolation includes: based on Bessel interpolation under the cylindrical coordinate system at the same r value;
the polynomial fitting comprises: based on polynomial fitting under the same r value in a cylindrical coordinate system and based on two-dimensional polynomial fitting of discrete points in a three-dimensional rectangular coordinate system.
Further, the interpolation is implemented as linear interpolation, near point interpolation, cubic spline interpolation, bicubic spline interpolation, bezier curve interpolation, or modified bezier curve interpolation.
In addition, in order to achieve the above object, the present invention further provides a corneal surface shape constructing apparatus, including the following functional modules:
the acquisition module is used for acquiring cornea detection data;
the axial section construction module is used for determining a characteristic axis according to the cornea detection data and constructing the axial section shape of the characteristic axis;
the transition curved surface construction module is used for constructing the shape of a transition region curved surface between the characteristic axes according to a preset transition region algorithm;
and the splicing module is used for splicing the axial section shape and the transition region curved surface shape to construct and obtain the corneal surface shape.
Further, the corneal surface shape constructing device further comprises:
a discrete point data detection module for detecting whether the corneal surface height discrete point data exists in the corneal detection data;
the axial section construction module, the transition curved surface construction module and the splicing module are further used for executing respective functional steps based on a preset cross validation mode.
In addition, to achieve the above object, the present invention also provides a terminal device, including: the device comprises a memory, a processor and a corneal surface shape construction program stored on the memory and capable of running on the processor, wherein the corneal surface shape construction program realizes the steps of the corneal surface shape construction method when being executed by the processor.
In addition, in order to achieve the above object, the present invention also provides a storage medium having a computer program stored thereon, the computer program, when being executed by a processor, implementing the steps of the method for constructing a corneal surface shape as described above.
The invention provides a method and a device for constructing a surface shape of a cornea, terminal equipment and a computer storage medium, which are used for detecting the shape of the surface of the cornea by acquiring cornea detection data; determining a characteristic axis according to the cornea detection data, and constructing an axial section shape of the characteristic axis; constructing a transition region curved surface shape between the characteristic axes according to a preset transition region algorithm; and splicing the axial section shape and the curved surface shape of the transition area to construct the surface shape of the cornea.
In the process of constructing the corneal surface shape (or referred to as a corneal base) of a patient, based on corneal detection data obtained by detecting the patient's cornea, a characteristic axis is determined according to the corneal detection data, an axial section shape of the characteristic axis is constructed, a transition region curved surface shape of a transition region between the characteristic axes is constructed according to a preset transition region algorithm, and finally the axial section shape and the transition region curved surface shape are spliced to construct the complete and accurate corneal surface shape.
Compared with the existing measurement and modeling description mode for the corneal surface shape, the corneal surface shape construction method has the advantages that the corneal shape construction can be still carried out for the irregular corneal surface under the condition that the corneal detection data obtained by detection are limited, and the constructed corneal surface shape has higher accuracy compared with the corneal surface shape constructed based on a fixed model, so that the corneal surface shape construction efficiency is effectively improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a hardware operating environment of a terminal device according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of an embodiment of a method for constructing a corneal surface topography according to the present invention;
FIG. 3 is a schematic diagram of an output interface of a terminal device of an application scenario involved in a method for constructing a corneal surface shape according to the present invention;
FIG. 4 shows corneal measurement data according to an embodiment of the method for constructing a corneal surface topography of the present invention;
FIG. 5 is a schematic diagram of a corneal surface shape according to an embodiment of the method for constructing a corneal surface shape of the present invention;
fig. 6 is a schematic block diagram of a corneal topography creating device according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, fig. 1 is a schematic structural diagram of a hardware operating environment related to a terminal device according to an embodiment of the present invention.
It should be noted that fig. 1 is a schematic structural diagram of a hardware operating environment of the terminal device. The terminal equipment of the embodiment of the invention can be terminal equipment for automatic test allocation.
As shown in fig. 1, the terminal device may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the terminal device configuration shown in fig. 1 is not intended to be limiting of the terminal device and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a distributed task processing program. Among them, the operating system is a program that manages and controls the hardware and software resources of the sample terminal device, a handler that supports distributed tasks, and the execution of other software or programs.
In the terminal apparatus shown in fig. 1, the user interface 1003 is mainly used for data communication with each terminal; the network interface 1004 is mainly used for connecting a background server and performing data communication with the background server; and the processor 1001 may be configured to call the corneal surface shape building program stored in the memory 1005, and perform the following operations:
acquiring cornea detection data;
determining a characteristic axis according to the cornea detection data, and constructing an axial section shape of the characteristic axis;
constructing a transition region curved surface shape between the characteristic axes according to a preset transition region algorithm;
and splicing the axial section shape and the curved surface shape of the transition area to construct the surface shape of the cornea.
Further, the processor 1001 may call a construction program of the corneal surface shape stored in the memory 1005, and before executing the step of acquiring corneal detection data, further execute the following operations:
calling a preset cornea topographic map instrument to detect the cornea with the surface shape to be constructed;
the processor 1001 may call the construction program of the corneal surface shape stored in the memory 1005, and further perform the following operations:
corneal inspection data for inspecting the cornea is acquired from the corneal topographer.
Further, the processor 1001 may call the construction program of the corneal surface shape stored in the memory 1005, and also perform the following operations:
selecting a characteristic axis position by adopting a clinical experience and/or medical judgment mode;
reading corneal parameters of the characteristic axis from the corneal inspection data;
and calling a preset fixed model to construct and obtain the axial section shape of the characteristic axis based on the corneal parameters.
Further, the processor 1001 may call a construction program of the corneal surface shape stored in the memory 1005, and after performing the construction of the axial sectional shape of the characteristic axis, further perform the following operations:
verifying the shape of the cross section of the shaft by using a cross-validation method;
and if the accuracy of the shaft section shape does not accord with the statistical judgment, correcting the preset fixed model until the accuracy accords with the statistical judgment.
Further, the transition region algorithm is performed by interpolation or fitting, and the processor 1001 may call the corneal surface shape constructing program stored in the memory 1005, and further perform the following operations:
determining characteristic axes positions of a transition region between the characteristic axes;
selecting target cornea detection data of the characteristic axial position from the cornea detection data and constructing a characteristic axial position cornea shape;
and calculating the target cornea detection data based on the transition region algorithm by using an interpolation or fitting mode so as to construct and obtain the curved surface shape of the transition region between the characteristic axes.
Further, the interpolation method includes: polynomial interpolation and Bessel interpolation, the fitting method comprises: the fitting of a polynomial is carried out,
wherein the polynomial interpolation comprises: based on one-dimensional interpolation under the cylindrical coordinate system and the same r value and based on two-dimensional interpolation of discrete points under the three-dimensional rectangular coordinate system;
the Bessel interpolation includes: based on Bessel interpolation under the cylindrical coordinate system at the same r value;
the polynomial fitting comprises: based on polynomial fitting under the same r value in a cylindrical coordinate system and based on two-dimensional polynomial fitting of discrete points in a three-dimensional rectangular coordinate system.
Further, the interpolation is implemented as linear interpolation, near point interpolation, cubic spline interpolation, bicubic spline interpolation, bezier curve interpolation, or modified bezier curve interpolation.
Based on the above structure, various embodiments of the method for constructing a corneal surface shape according to the present invention are proposed.
Referring to fig. 2, fig. 2 is a schematic flow chart of a method for constructing a corneal surface shape according to a first embodiment of the present invention.
The method for constructing the corneal surface shape of the present embodiment may specifically use a terminal device which is automatically configured as an execution main body, or may specifically use a separate terminal device for constructing the corneal surface shape of the patient's cornea as an execution main body.
The method for constructing the corneal surface shape comprises the following steps:
step S100, corneal detection data are obtained;
in this embodiment, the cornea of the patient may be detected by the corneal topographer in advance to obtain corneal detection data.
When starting to construct a corneal surface shape for a cornea of a patient, a terminal device first acquires corneal measurement data obtained by measuring the cornea of the patient with a corneal topographer in advance.
Further, in a possible implementation manner, before the step S100, the method for constructing the corneal surface shape according to the embodiment of the present invention may further include:
step S500, calling a preset cornea topographic map to detect the cornea with the surface shape to be constructed;
it should be noted that, in this embodiment, the preset corneal topographer may be any mature corneal topographer, and the corneal topographer can accurately detect and obtain corneal parameters such as a curvature radius value R and an eccentricity e of a patient's cornea as corneal detection data. It should be understood that, based on different design requirements of practical applications, the angle topographer used for measurement and detection of the cornea of a patient may be different in different feasible embodiments, and the method for constructing the surface shape of the cornea according to the present invention is not limited by the type of the angle topographer and the specific process of measurement and detection of the angle topographer to obtain the corneal detection data.
Before the corneal surface shape is constructed for the cornea of a patient, the terminal device detects the cornea of the patient needing the corneal surface shape construction through a cornea topographer which is configured and connected in advance.
Specifically, for example, after receiving a cornea detection start instruction triggered when a patient is ready, the terminal device outputs a pulse signal to a pre-connected cornea topographer to control the cornea topographer to start operation so as to perform a measurement detection operation on a cornea for which the patient needs to construct a corneal surface shape, so that the corneal topographer uses corneal parameters such as a curvature radius value R and an eccentricity e of the cornea obtained through measurement detection as cornea detection data shown in fig. 4 generated by the current detection operation, and transmits the cornea detection data to the terminal device.
Further, in a possible implementation manner, the step S100 of acquiring corneal measurement data may include:
step S101, corneal detection data for detecting the cornea is acquired from the corneal topographer.
After the terminal device controls the corneal topographer to perform measurement and detection operations on the cornea of the patient so as to obtain corneal detection data of the cornea, the terminal device immediately acquires the corneal detection data for performing a corneal surface shape construction process on the cornea.
Further, in another possible implementation, the terminal device may also directly acquire the corneal measurement data to construct the corneal surface shape when the patient has already performed the corneal measurement process and thus has the corneal measurement data. Specifically, for example, when starting to construct the corneal surface shape for the cornea of a patient, the terminal device may first detect whether the corneal detection data of the current patient, which is transmitted in real time or retained in advance, is stored in the local storage, and when detecting that the corneal detection data is stored, directly extract the corneal detection data for performing the corneal surface shape constructing process for the cornea.
Step S200, determining a characteristic axis according to the cornea detection data, and constructing the axial section shape of the characteristic axis;
after acquiring corneal detection data of a cornea of which the surface shape of the cornea needs to be constructed by a patient, the terminal equipment determines a plurality of characteristic axes based on the corneal detection data, and then respectively constructs and obtains the axial section shapes of the characteristic axes by using a fixed model.
It should be noted that, in this embodiment, the number of characteristic axes may be specifically multiple, and it should be understood that, based on different design requirements of practical applications and consideration of computing performance of the terminal device itself, the number of characteristic axes determined by the terminal device may be different in different feasible embodiments, and the method for constructing the corneal surface shape according to the present invention is not limited to the number of characteristic axes.
Further, in a possible embodiment, the step S200 may include:
step S201, selecting a characteristic axis position by adopting a clinical experience and/or medical judgment mode;
the terminal equipment detects preset characteristic axis position selection operation and determines the characteristic axis according to the characteristic axis position pointed by the characteristic axis position selection operation;
it should be noted that, in this embodiment, the preset feature axis position selecting operation is a point position selecting operation triggered when the user of the terminal device manually selects a point position for determining the position of the feature axis based on the cornea detection data output visually in a clinical experience and/or medical judgment manner, and it should be understood that, based on different design requirements of practical applications, in different feasible embodiments, the user of the terminal device may also manually select the feature axis based on the cornea detection data output visually in other manners besides the clinical experience and medical judgment manner listed here.
After acquiring corneal detection data of a cornea of which the surface shape of the cornea needs to be constructed by a patient, the terminal device outputs the corneal detection data through a user graphical interface visually output at the front end, and then receives feature axis position selection operation input by a user based on the visually output corneal detection data.
Specifically, for example, after obtaining corneal measurement data of a cornea whose corneal surface shape needs to be constructed by a patient, the terminal device visually outputs the corneal measurement data to a user through a graphical user interface which is visually output at a front end, so that the user inputs and selects a point location selection operation for determining a feature axis position on the graphical user interface, after detecting the point location selection operation, the terminal device determines at least two feature axes to which the point location selection operation is directed (i.e., at least two point locations which are autonomously selected by the user on the graphical user interface), then determines a feature axis by using the two feature axes, and continues the process until a plurality of feature axes which the user needs to select are determined in the graphical user interface.
Step S202, reading cornea parameters of the characteristic axis positions from the cornea detection data;
the terminal equipment determines a plurality of characteristic axes based on characteristic axis selection operation input by a user, and then sequentially detects corneal parameters of all characteristic axes at the positions of the plurality of characteristic axes.
Specifically, for example, after determining the characteristic axis 1 according to the characteristic axis selection operation input by the user, the terminal device detects and extracts the curvature radius values R and eccentricity e equiangular membrane parameters of all characteristic axes at the position of the characteristic axis 1 from the visually output cornea detection data.
Step S203, calling a preset fixed model to construct and obtain the axial section shape of the characteristic axis based on the cornea parameters.
It should be noted that, in this embodiment, the preset fixed model may specifically be a spherical model, an aspheric model, or a high-order aspheric model.
After the terminal equipment extracts the cornea parameters of all the characteristic axis positions corresponding to the characteristic axes, the cornea parameters are called to construct and obtain the axial section shape of the characteristic axes by using the cornea parameters through calling a spherical model, an aspheric model or a high-order aspheric model.
Specifically, for example, after the terminal device extracts the curvature radius values R and the eccentricity e equiangular membrane parameters of all feature axes at the position of the feature axis 1 from the cornea detection data, the terminal device may further invoke an aspheric model selected by a user, to perform calculation based on the curvature radius values R and the eccentricity e equiangular membrane parameters of all feature axes, so as to construct and obtain the axial cross-sectional shape of the feature axis 1.
Further, in another possible embodiment, the terminal device may also call a spherical model, an aspheric model, or a high-order aspheric model through a pre-trained machine learning algorithm, so as to perform an axial cross-sectional shape construction process on a certain characteristic axis according to a current requirement. It should be understood that, in this embodiment, based on different design requirements of practical applications, in different possible implementations, the machine learning algorithm applied when the terminal device invokes the spherical model, the aspheric model or the high-order aspheric model may be different, and the method for constructing the corneal surface shape according to the present invention is not specifically limited to the machine learning algorithm.
Further, in another possible embodiment, in addition to determining the characteristic axis based on the received characteristic axis selection operation, the terminal device may determine the auxiliary axis (or the transition axis) by receiving an auxiliary axis (or a transition axis) selection operation, where the auxiliary axis selection operation is also a point location selection operation triggered when the user manually selects a point location for determining a position of an auxiliary axis other than the characteristic axis based on the visually output cornea detection data, and a process of determining the auxiliary axis based on the auxiliary axis selection operation by the terminal device is consistent with the process of determining the characteristic axis based on the characteristic axis selection operation.
Further, in a possible embodiment, after the step of "constructing the axial sectional shape of the characteristic axis" in the step 200, the method for constructing the corneal surface shape according to the present invention may further include:
step A, verifying the shape of the cross section of the shaft by using a cross verification method;
and B, if the accuracy of the shaft section shape does not accord with the statistical judgment, correcting the preset fixed model until the accuracy accords with the statistical judgment.
The terminal equipment determines a plurality of characteristic axes based on cornea detection data, respectively constructs and obtains the axial section shape of each characteristic axis by using a fixed model, then verifies the accuracy of the constructed axial section shape by using a mature cross verification method, and if the accuracy of the axial section shape is not in accordance with statistical judgment, the terminal equipment determines a preset fixed model for constructing the axial section shape: and correcting corresponding parameters of the spherical model, the aspheric model or the high-order aspheric model, so that the accuracy of the axial section shape constructed by the corrected preset fixed model accords with statistical judgment.
S300, constructing a transition region curved surface shape between the characteristic axes according to a preset transition region algorithm;
in this embodiment, the preset transition region algorithm is performed by interpolation or fitting.
The terminal equipment determines a plurality of characteristic axes based on the cornea detection data, and after the shaft section shapes of the characteristic axes are respectively constructed and obtained by using a fixed model, the calculation of a transition region algorithm is further carried out by using an interpolation or fitting mode, so that the curved surface shape of the transition region between the characteristic axes is obtained.
Specifically, for example, the terminal device determines 5 feature axes respectively based on the received feature axis position selection operation, establishes respective axial cross-sectional shapes of the 5 feature axes respectively based on the aspheric surface model, and then performs transition region arithmetic operation on a transition region between the 5 feature axes in a further interpolation or fitting manner, thereby establishing a transition region curved surface shape of the transition region between the 5 feature axes.
Further, in a possible embodiment, the step S300 may include:
step S301, determining characteristic axes of a transition region between the characteristic axes;
step S302, selecting target cornea detection data of the characteristic axis position from the cornea detection data and constructing a characteristic axis position cornea shape;
and the terminal equipment determines all the characteristic point positions in the transition region in the determined transition region between the characteristic axes, and extracts target cornea detection data corresponding to all the characteristic point positions from the cornea detection data.
Specifically, for example, the terminal device determines 5 feature axes based on each received feature axis selection operation, then determines all feature points 1 in a transition region between feature axes 1 and 2 of the 5 feature axes, determines all feature points 2 in a transition region between feature axes 2 and 3 of the 5 feature axes, determines all feature points 3 in a transition region between feature axes 3 and 4 of the 5 feature axes, determines all feature points 4 in a transition region between feature axes 4 and 5 of the 5 feature axes, determines all feature points 5 in a transition region between feature axes 5 and 1 of the 5 feature axes, and then detects and extracts, as target corneal topography data, an equiangular membrane parameter of curvature radius value R and eccentricity e of each of all feature axes 1 to 5 from all corneal topography data in sequence And (6) measuring data.
Step S303, calculating the target cornea detection data based on the transition region algorithm by using an interpolation or fitting mode to construct and obtain the transition region curved surface shape between the characteristic axes.
After extracting target cornea detection data of feature point positions of transition regions among all feature axes, the terminal device further takes the target modeling detection data as input, and calculates a transition region algorithm according to the input by using an interpolation or fitting mode, so as to construct and obtain a transition region curved surface shape of each transition region based on the target cornea detection data.
It should be noted that, in this embodiment, the interpolation method for performing the calculation by the transition region algorithm may include: the fitting mode of calculation by the transition region algorithm through polynomial interpolation and Bessel interpolation comprises the following steps: polynomial fitting, wherein polynomial interpolation may specifically include: based on one-dimensional interpolation of the same r value in a cylindrical coordinate system (the cylindrical coordinate system is a coordinate system which uses a plane polar coordinate and a z-direction distance to define a space coordinate of an object, and three coordinate variables in the cylindrical coordinate system are r, phi and z, wherein r is a distance between an origin and a projection point of any point in space on a plane, and r belongs to [0 and + ∞ ]), and based on two-dimensional interpolation of discrete points in a three-dimensional rectangular coordinate system; the bezier interpolation may specifically include: based on Bessel interpolation under the cylindrical coordinate system at the same r value; and the polynomial fitting may specifically include: based on polynomial fitting under the same r value in a cylindrical coordinate system and based on two-dimensional polynomial fitting of discrete points in a three-dimensional rectangular coordinate system. In addition, in this embodiment, each interpolation mode may be implemented by linear interpolation, near point interpolation, cubic spline interpolation, bicubic spline interpolation, bezier curve interpolation, or modified bezier curve interpolation mode.
Specifically, for example, after extracting the corneal parameters such as curvature radius value R and eccentricity e of all feature points 1 in the transition region between feature axis 1 and feature axis 2 from all the corneal detection data, the terminal device may further use an interpolation method based on one-dimensional interpolation at the same r value in a cylindrical coordinate system (specifically a linear interpolation method), the curvature radius numerical value R and the eccentricity e equiangular membrane parameters of all the feature points 1 are taken as input to carry out the specific calculation of the transition region algorithm, thereby calculating and outputting the curved surface shape of the transition region between the characteristic axis 1 and the characteristic axis 2 which is calculated and constructed based on the curvature radius numerical value R and the eccentricity e equiangular membrane parameters of all the characteristic points 1, the curved surface shape of the transition region between the other characteristic axes is constructed in the same manner.
Further, in another possible embodiment, the terminal device may further determine, through a pre-trained machine learning algorithm, whether to use interpolation manners such as polynomial interpolation and bezier interpolation or fitting manners such as polynomial fitting to perform calculation of the transition region algorithm, so as to perform a process of constructing a curved surface shape of a transition region for a certain transition region, which is currently required. It should be understood that, in this embodiment, based on different design requirements of practical applications, in different possible embodiments, the machine learning algorithm applied when the terminal device invokes the transition region may be different, and the method for constructing the corneal surface shape according to the present invention is not specifically limited to the machine learning algorithm.
And S400, splicing the axial section shape and the curved surface shape of the transition area to construct the surface shape of the cornea.
After the respective axial section shapes of the characteristic axes and the curved surface shapes of the transition regions of the characteristic axes are constructed and obtained by the terminal equipment, the axial section shapes and the curved surface shapes of the transition regions of the adjacent transition regions of the corresponding characteristic axes are spliced in sequence, and therefore a complete and accurate corneal surface shape is constructed and obtained.
Further, in a possible embodiment, the step S400 may include:
a step S401 of determining a target axial cross-sectional shape having an adjacent relationship with each of the transition region curved surface shapes, respectively, among the axial cross-sectional shapes;
when the terminal equipment splices the axial section shape and the transition region curved surface shape, firstly, a target axial section shape which has an adjacent relation with the current transition region curved surface shape to be spliced is determined in each constructed axial section.
Specifically, for example, after the terminal device has obtained the respective axial sectional shapes of the 5 characteristic axes by calling the aspherical model construction, and the transition region curved surface shapes of the total 5 transition regions of the 5 characteristic axes with each other by calling the thermal balance equation construction, the terminal device determines the target axial sectional shape having an adjacent relationship with each of the transition region curved surface shapes in turn among the 5 axial sectional shapes 1 to 5, that is, determines the axial sectional shape 1 as both the target axial sectional shape having an adjacent relationship with the transition region curved surface shape 1 and the target axial sectional shape having an adjacent relationship with the transition region curved surface shape 5, and so forth determines the entire target axial sectional shapes.
And S402, sequentially splicing the curved surface shape of the transition region and the target axial cross-sectional shape of the curved surface shape of the current transition region according to the adjacent relation to construct the surface shape of the cornea.
After determining the target axial cross-sectional shape having an adjacent relation with the curved shape of the transition region to be spliced currently, the terminal equipment directly splices the curved shape of the transition region and the target axial cross-sectional shape according to the adjacent relation, thereby constructing and obtaining a complete and accurate corneal surface shape.
Specifically, for example, after determining that the axial sectional shape 1 is both the target axial sectional shape having an adjacent relationship with the transition region curved shape 1 and the target axial sectional shape having an adjacent relationship with the transition region curved shape 5, the terminal device splices the axial sectional shape 1 with the transition region curved shape 1 directly, and also splices the axial sectional shape 1 with the transition region curved shape 5, and similarly, after determining that the axial sectional shape 2 is both the target axial sectional shape having an adjacent relationship with the transition region curved shape 2 and the target axial sectional shape having an adjacent relationship with the transition region curved shape 1, the terminal device splices the axial sectional shape 2 with the transition region curved shape 2 directly, splices the axial sectional shape 2 with the transition region curved shape 1, and splices the like until the splicing of the entire axial sectional shape and the entire transition region curved shape is completed, thereby constructing a complete and accurate corneal topography as shown in figure 5.
In this embodiment, when starting to construct a corneal surface shape for a cornea of a patient, a terminal device first acquires corneal detection data obtained by detecting the cornea of the patient with a corneal topographer in advance; after acquiring corneal detection data of a cornea of which the surface shape of the cornea needs to be constructed by a patient, a terminal device determines a plurality of characteristic axes based on the corneal detection data, and then respectively constructs and obtains the axial section shapes of the characteristic axes by using a fixed model; the method comprises the steps that terminal equipment determines a plurality of characteristic axes based on cornea detection data, and after the shaft section shapes of the characteristic axes are respectively constructed and obtained by using a fixed model, any one of polynomial interpolation, a thermal balance equation and a Bessel function is further called to aim at the curved surface shape of a transition region of the mutual transition region of the characteristic axes; after the respective axial section shapes of the characteristic axes and the curved surface shapes of the transition regions of the characteristic axes are constructed and obtained by the terminal equipment, the axial section shapes and the curved surface shapes of the transition regions of the adjacent transition regions of the corresponding characteristic axes are spliced in sequence, and therefore a complete and accurate corneal surface shape is constructed and obtained.
Compared with the existing measurement and modeling description mode for the corneal surface shape, the corneal surface shape construction method has the advantages that the corneal shape construction can be still carried out for the irregular corneal surface under the condition that the corneal detection data obtained by detection are limited, and the constructed corneal surface shape has higher accuracy compared with the corneal surface shape constructed based on a fixed model, so that the corneal surface shape construction efficiency is effectively improved.
Further, a second embodiment of the method for constructing a corneal surface shape of the present invention is proposed based on the above-described first embodiment of the method for constructing a corneal surface shape of the present invention.
In the second embodiment of the method for constructing a corneal surface shape of the present invention, after the above step S100, the method for constructing a corneal surface shape of the present invention further includes:
step S600, detecting whether the corneal surface height discrete point data exists in the corneal detection data;
after the terminal device obtains the cornea detection data of the cornea of which the patient needs to construct the cornea surface shape, whether the cornea detection data has the corneal surface height discrete point data caused by the fact that the real cornea shape is irregular and not axisymmetric is detected.
It should be noted that, in this embodiment, the terminal device may determine whether there is corneal surface height discrete point data in the corneal detection data by using any mature discrete point data detection manner, and the corneal surface shape constructing method of the present invention is not specifically limited to this discrete point data detection manner.
Step S700, if yes, determining a characteristic axis according to the cornea detection data based on a preset cross validation mode, and constructing an axial section shape of the characteristic axis; and constructing a transition region curved surface shape between the characteristic axes according to a preset transition region algorithm; and a step of splicing the axial cross-sectional shape and the curved surface shape of the transition region to construct a corneal surface shape.
The terminal device performs the above-described processes of steps S200 to S400 in a cross-validation manner upon detecting that there is corneal surface height discrete point data among the corneal detection data.
Specifically, for example, for the collected cornea detection data of 5 corneas, the corneal surface shape of the 1 st cornea of the 5 corneas is first constructed by the process of the above-mentioned step S200 to step S400, and the verification is performed for the process of the step S200 to step S400 by using the cornea detection data and the cornea real shape of the remaining 4 corneas of the 5 corneas, and then, the corneal surface shape of the 2 nd cornea of the 5 corneas is further constructed by the process of the above-mentioned step S200 to step S400, and the verification is performed for the process of the step S200 to step S400 by using the cornea detection data and the cornea real shape of the remaining 4 corneas of the 5 corneas, and so on until the corneal surface shapes of the 5 corneas are constructed and the verification passes.
In the present embodiment, in consideration of the non-axisymmetric case that the real shape of the cornea of some patients is irregular, in the present embodiment, by detecting whether there is a high discrete point data caused by this case in the cornea detection data, and then when yes is detected, constructing the cornea surface shape of the cornea by using a cross validation method for the cornea of this case, thus, the accuracy of the cornea surface shape and the overall construction efficiency are further improved.
In addition, referring to fig. 6, an embodiment of the present invention further provides a device for constructing a corneal surface shape, which includes:
the acquisition module is used for acquiring cornea detection data;
the axial section construction module is used for determining a characteristic axis according to the cornea detection data and constructing the axial section shape of the characteristic axis;
the transition curved surface construction module is used for constructing the shape of a transition region curved surface between the characteristic axes according to a preset transition region algorithm;
and the splicing module is used for splicing the axial section shape and the transition region curved surface shape to construct and obtain the corneal surface shape.
Preferably, the corneal surface shape constructing apparatus of the present invention further comprises:
a discrete point data detection module for detecting whether the corneal surface height discrete point data exists in the corneal detection data;
the axial section construction module, the transition curved surface construction module and the splicing module are further used for executing respective functional steps based on a preset cross validation mode.
Preferably, the corneal surface shape constructing apparatus of the present invention further comprises:
the cornea detection module is used for calling a preset cornea topographic map instrument to detect the cornea with the surface shape to be constructed;
the acquisition module is further used for acquiring cornea detection data for detecting the cornea from the cornea topographer.
Preferably, the axial section building block comprises:
the first determining unit is used for detecting preset characteristic axis position selection operation and determining the characteristic axis according to the characteristic axis position pointed by the characteristic axis position selection operation;
a parameter reading unit, configured to read, from the corneal detection data, a corneal parameter of a feature axis pointed by the feature axis selection operation;
and the first construction unit is used for calling a preset fixed model to construct and obtain the axial section shape of the characteristic axis based on the cornea parameters.
Preferably, the transition region algorithm is performed by using an interpolation or fitting method, and the transition surface construction module includes:
a second determination unit configured to determine a feature point position located in a transition region between the feature axes;
an extraction unit configured to extract target cornea detection data of the feature point from the cornea detection data;
and the second construction unit is used for calculating the target cornea detection data based on the transition region algorithm by using an interpolation or fitting mode so as to construct and obtain the curved surface shape of the transition region between the characteristic axes.
Preferably, the interpolation means includes: polynomial interpolation and Bessel interpolation, the fitting method comprises: the fitting of a polynomial is carried out,
wherein the polynomial interpolation comprises: based on one-dimensional interpolation under the cylindrical coordinate system and the same r value and based on two-dimensional interpolation of discrete points under the three-dimensional rectangular coordinate system;
the Bessel interpolation includes: based on Bessel interpolation under the cylindrical coordinate system at the same r value;
the polynomial fitting comprises: based on polynomial fitting under the same r value in a cylindrical coordinate system and based on two-dimensional polynomial fitting of discrete points in a three-dimensional rectangular coordinate system.
Preferably, the interpolation is performed as linear interpolation, near point interpolation, cubic spline interpolation, bicubic spline interpolation, bezier curve interpolation or modified bezier curve interpolation.
Preferably, the splicing module comprises:
a third determination unit for determining a target axial sectional shape having an adjacent relationship with each of the transition region curved surface shapes, respectively, among the axial sectional shapes;
and the splicing unit is used for sequentially splicing the curved surface shape of the transition region and the target axial cross-section shape of the curved surface shape of the current transition region according to the adjacent relation so as to construct and obtain the surface shape of the cornea.
Preferably, the corneal surface shape constructing apparatus of the present invention further comprises:
a discrete point data checking module for detecting whether the corneal surface height discrete point data exists in the corneal detection data;
the cross validation module is used for executing the characteristic axis determination according to the cornea detection data based on a preset cross validation mode and constructing the axial section shape of the characteristic axis when the discrete point data inspection module detects that the data is true; and constructing a transition region curved surface shape between the characteristic axes according to a preset transition region algorithm; and a step of splicing the axial cross-sectional shape and the curved surface shape of the transition region to construct a corneal surface shape.
The steps implemented by the functional modules of the device for constructing a corneal surface shape according to the present invention during operation can refer to the embodiments of the method for constructing a corneal surface shape of the present invention, and are not described herein again.
In addition, an embodiment of the present invention further provides a terminal device for automatic assay, where the terminal device includes: the device comprises a memory, a processor and a corneal surface shape construction method stored on the memory and capable of running on the processor, wherein the corneal surface shape construction program realizes the steps of the corneal surface shape construction method when being executed by the processor.
The steps of the method for constructing a corneal surface shape executed on the processor may refer to various embodiments of the method for constructing a corneal surface shape, and are not described herein again.
Furthermore, an embodiment of the present invention further provides a computer storage medium applied to a computer, where the computer storage medium may be a non-volatile computer-readable storage medium, and the medium stores a corneal surface shape construction program, and the corneal surface shape construction program is executed by a processor to implement the steps of the corneal surface shape construction method described above.
The steps implemented when the corneal surface shape constructing program run on the processor is executed may refer to various embodiments of the corneal surface shape constructing method of the present invention, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A method for constructing a corneal surface shape, comprising the steps of:
acquiring cornea detection data;
determining a characteristic axis according to the cornea detection data, and constructing an axial section shape of the characteristic axis;
constructing a transition region curved surface shape between the characteristic axes according to a preset transition region algorithm;
and splicing the axial section shape and the curved surface shape of the transition area to construct the surface shape of the cornea.
2. The method for constructing a corneal topography as claimed in claim 1, further comprising, prior to said step of obtaining corneal measurement data:
calling a preset cornea topographic map instrument to detect the cornea with the surface shape to be constructed;
the step of acquiring corneal measurement data comprises:
corneal inspection data for inspecting the cornea is acquired from the corneal topographer.
3. The method of claim 1, wherein the step of determining a characteristic axis from the corneal measurement data and constructing an axial cross-sectional shape of the characteristic axis comprises:
selecting a characteristic axis position by adopting a clinical experience and/or medical judgment mode;
reading corneal parameters of the characteristic axis from the corneal inspection data;
and calling a preset fixed model to construct and obtain the axial section shape of the characteristic axis based on the corneal parameters.
4. The method of constructing a corneal topography as in claim 1, wherein after said constructing an axial cross-sectional topography of said characteristic axis, said method further comprises:
verifying the shape of the cross section of the shaft by using a cross-validation method;
and if the accuracy of the shaft section shape does not accord with the statistical judgment, correcting the preset fixed model until the accuracy accords with the statistical judgment.
5. The method for constructing a corneal topographic form according to claim 1, wherein the transition region algorithm is performed by interpolation or fitting, and the step of constructing a curved shape of the transition region between the characteristic axes according to a predetermined transition region algorithm comprises:
determining characteristic axes positions of a transition region between the characteristic axes;
selecting target cornea detection data of the characteristic axial position from the cornea detection data and constructing a characteristic axial position cornea shape;
and calculating the target cornea detection data based on the transition region algorithm by using an interpolation or fitting mode so as to construct and obtain the curved surface shape of the transition region between the characteristic axes.
6. The method of claim 5, wherein the interpolation comprises: polynomial interpolation and Bessel interpolation, the fitting method comprises: the fitting of a polynomial is carried out,
wherein the polynomial interpolation comprises: based on one-dimensional interpolation under the cylindrical coordinate system and the same r value and based on two-dimensional interpolation of discrete points under the three-dimensional rectangular coordinate system;
the Bessel interpolation includes: based on Bessel interpolation under the cylindrical coordinate system at the same r value;
the polynomial fitting comprises: based on polynomial fitting under the same r value in a cylindrical coordinate system and based on two-dimensional polynomial fitting of discrete points in a three-dimensional rectangular coordinate system.
7. The method of claim 5 or 6, wherein the interpolation is performed by linear interpolation, near-point interpolation, cubic spline interpolation, bicubic spline interpolation, bezier curve interpolation, or modified bezier curve interpolation.
8. A corneal surface shape constructing apparatus, comprising:
the acquisition module is used for acquiring cornea detection data;
the axial section construction module is used for determining a characteristic axis according to the cornea detection data and constructing the axial section shape of the characteristic axis;
the transition curved surface construction module is used for constructing the shape of a transition region curved surface between the characteristic axes according to a preset transition region algorithm;
and the splicing module is used for splicing the axial section shape and the transition region curved surface shape to construct and obtain the corneal surface shape.
9. A terminal device, characterized in that the terminal device comprises: a memory, a processor and a corneal surface shape construction program stored on the memory and executable on the processor, the corneal surface shape construction program, when executed by the processor, implementing the steps of the corneal surface shape construction method according to any one of claims 1 to 7.
10. A computer storage medium, characterized in that the computer storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the method of constructing a corneal surface shape as claimed in any one of claims 1 to 7.
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