CN112614593B - Method for establishing myopia development evolution tree and myopia development risk assessment device - Google Patents
Method for establishing myopia development evolution tree and myopia development risk assessment device Download PDFInfo
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- 230000004423 myopia development Effects 0.000 title claims abstract description 157
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Abstract
Description
技术领域Technical Field
本发明涉及眼科医疗技术领域，特别是涉及一种近视发展进化树建立方法。本发明还涉及一种近视发展风险评估装置。The present invention relates to the field of ophthalmic medical technology, and in particular to a method for establishing a myopia development evolution tree. The present invention also relates to a myopia development risk assessment device.
背景技术Background technique
传统的临床验光方法是通过测量眼球黄斑中心凹的屈光度，来评估发展为近视眼的风险程度，然而经研究发现，周边视网膜(即黄斑区以外的视网膜区域)的光学离焦状态与人眼的视觉成像质量、近视发展风险都有着密切联系。因此，了解眼球周边视网膜的光学离焦状态，对提升人眼的成像质量、对优化近视矫正光学产品的光学设计以及指导近视防控，也具有十分重要的意义。The traditional clinical optometry method is to assess the risk of developing myopia by measuring the refractive power of the fovea of the eyeball. However, studies have found that the optical defocus state of the peripheral retina (the retinal area outside the macula) is closely related to the visual imaging quality of the human eye and the risk of myopia development. Therefore, understanding the optical defocus state of the peripheral retina of the eyeball is also of great significance for improving the imaging quality of the human eye, optimizing the optical design of myopia correction optical products, and guiding myopia prevention and control.
发明内容Summary of the invention
鉴于此，本发明的目的是提供一种近视发展进化树建立方法，实现根据周边视网膜的近视参量分布建立近视发展进化树，能够用于指导评估近视发展风险。本发明还提供一种近视发展风险评估装置。In view of this, the purpose of the present invention is to provide a method for establishing a myopia development evolutionary tree, which can be used to guide the assessment of myopia development risk according to the distribution of myopia parameters in the peripheral retina. The present invention also provides a myopia development risk assessment device.
为实现上述目的，本发明提供如下技术方案：To achieve the above object, the present invention provides the following technical solutions:
一种近视发展进化树建立方法，包括：A method for establishing a myopia development evolution tree, comprising:
获取样本个体的视网膜预设区域的近视参量分布图，所述视网膜预设区域位于视网膜除黄斑区以外的区域；Obtaining a myopia parameter distribution map of a preset retinal area of a sample individual, wherein the preset retinal area is located in an area of the retina other than the macular area;
根据所述样本个体眼球的光线偏折能力，将各个所述样本个体划分为多个分组，各个所述分组分别对应不同的近视发展程度；According to the light deflection ability of the eyeball of the sample individual, each of the sample individuals is divided into a plurality of groups, each of the groups corresponds to a different degree of myopia development;
对于每一所述分组，根据属于本分组的各个所述样本个体的所述近视参量分布图，获得本分组的代表性近视参量分布图；For each of the groups, according to the myopia parameter distribution diagrams of the sample individuals belonging to the group, a representative myopia parameter distribution diagram of the group is obtained;
获取任意的上一级近视发展程度对应分组的任一代表性近视参量分布图与下一级近视发展程度对应分组的任一代表性近视参量分布图的相似度，根据各个所述分组的所述代表性近视参量分布图以及相似度数据建立近视发展进化树。Obtain the similarity between any representative myopia parameter distribution map of any group corresponding to the previous level of myopia development degree and any representative myopia parameter distribution map of any group corresponding to the next level of myopia development degree, and establish a myopia development evolutionary tree based on the representative myopia parameter distribution maps and similarity data of each of the groups.
优选的，所述视网膜预设区域至少包括视网膜上处于水平经线+20°到水平经线-16°之间且处于垂直经线+40°到垂直经线-40°之间的除黄斑区以外的区域。Preferably, the preset retinal area includes at least an area on the retina between the horizontal meridian of +20° and the horizontal meridian of -16° and between the vertical meridian of +40° and the vertical meridian of -40° except the macular area.
优选的，对于每一所述分组，根据属于本分组的各个所述样本个体的所述近视参量分布图，获得本分组的代表性近视参量分布图包括：Preferably, for each of the groups, obtaining a representative myopia parameter distribution map of the group according to the myopia parameter distribution maps of each of the sample individuals belonging to the group includes:
根据属于本分组的各个所述样本个体的所述近视参量分布图进行聚类，将属于本分组的各个所述样本个体划分为一个或者多个亚分组；Clustering is performed according to the myopia parameter distribution diagrams of each of the sample individuals belonging to this group, and each of the sample individuals belonging to this group is divided into one or more sub-groups;
对于每一所述亚分组，根据属于本亚分组的各个所述样本个体的所述近视参量分布图，获得本亚分组对应的代表性近视参量分布图。For each of the subgroups, a representative myopia parameter distribution map corresponding to the subgroup is obtained based on the myopia parameter distribution maps of each of the sample individuals belonging to the subgroup.
优选的，获取两个代表性近视参量分布图的相似度包括：Preferably, obtaining the similarity of two representative myopia parameter distribution maps includes:
获取两个代表性近视参量分布图相应位置的近视参量值的差异均方根；Obtaining the root mean square difference of the myopia parameter values at corresponding positions of two representative myopia parameter distribution maps;
获取两个代表性近视参量分布图相应位置的近视参量值的比值平均值；Obtaining the average value of the ratio of the myopia parameter values at corresponding positions of two representative myopia parameter distribution maps;
根据两个代表性近视参量分布图的差异均方根和比值平均值，获得两个代表性近视参量分布图的相似度。The similarity of the two representative myopia parameter distribution maps is obtained based on the root mean square difference and the ratio average of the two representative myopia parameter distribution maps.
优选的，根据以下公式获得两个代表性近视参量分布图的相似度：Preferably, the similarity of two representative myopia parameter distribution maps is obtained according to the following formula:
DC＝S/RMS；DC = S/RMS;
其中，DC表示两个代表性近视参量分布图的相似度，S表示两个代表性近视参量分布图的比值平均值，RMS表示两个代表性近视参量分布图的差异均方根。Among them, DC represents the similarity between two representative myopia parameter distribution maps, S represents the average value of the ratio of two representative myopia parameter distribution maps, and RMS represents the root mean square of the difference between two representative myopia parameter distribution maps.
一种近视发展风险评估装置，包括：A myopia development risk assessment device, comprising:
获取装置，用于获取评估对象的视网膜预设区域的近视参量分布图；An acquisition device, used for acquiring a myopia parameter distribution map of a preset retinal area of an evaluation subject;
评估装置，用于根据所述评估对象的所述近视参量分布图以及预先建立的近视发展进化树，获得所述评估对象的近视风险结果，所述近视发展进化树反映了上一级近视发展程度的视网膜预设区域的近视参量分布图向下一级近视发展程度的视网膜预设区域的近视参量分布图的发展情况。An evaluation device is used to obtain the myopia risk result of the evaluation object based on the myopia parameter distribution map of the evaluation object and a pre-established myopia development evolutionary tree, wherein the myopia development evolutionary tree reflects the development of the myopia parameter distribution map of the retinal preset area at the previous level of myopia development degree to the myopia parameter distribution map of the retinal preset area at the next level of myopia development degree.
优选的，建立所述近视发展进化树包括：Preferably, establishing the myopia development evolution tree comprises:
获取样本个体的视网膜预设区域的近视参量分布图，所述视网膜预设区域位于视网膜除黄斑区以外的区域；Obtaining a myopia parameter distribution map of a preset retinal area of a sample individual, wherein the preset retinal area is located in an area of the retina other than the macular area;
根据所述样本个体眼球的光线偏折能力，将各个所述样本个体划分为多个分组，各个所述分组分别对应不同的近视发展程度；According to the light deflection ability of the eyeball of the sample individual, each of the sample individuals is divided into a plurality of groups, each of the groups corresponds to a different degree of myopia development;
对于每一所述分组，根据属于本分组的各个所述样本个体的所述近视参量分布图，获得本分组的代表性近视参量分布图；For each of the groups, according to the myopia parameter distribution diagrams of the sample individuals belonging to the group, a representative myopia parameter distribution diagram of the group is obtained;
获取任意的上一级近视发展程度对应分组的任一代表性近视参量分布图与下一级近视发展程度对应分组的任一代表性近视参量分布图的相似度，根据各个所述分组的所述代表性近视参量分布图以及相似度数据建立近视发展进化树。Obtain the similarity between any representative myopia parameter distribution map of any group corresponding to the previous level of myopia development degree and any representative myopia parameter distribution map of any group corresponding to the next level of myopia development degree, and establish a myopia development evolutionary tree based on the representative myopia parameter distribution maps and similarity data of each of the groups.
优选的，对于每一所述分组，根据属于本分组的各个所述样本个体的所述近视参量分布图，获得本分组的代表性近视参量分布图包括：Preferably, for each of the groups, obtaining a representative myopia parameter distribution map of the group according to the myopia parameter distribution maps of each of the sample individuals belonging to the group includes:
根据属于本分组的各个所述样本个体的所述近视参量分布图进行聚类，将属于本分组的各个所述样本个体划分为一个或者多个亚分组；Clustering is performed according to the myopia parameter distribution diagrams of each of the sample individuals belonging to this group, and each of the sample individuals belonging to this group is divided into one or more sub-groups;
对于每一所述亚分组，根据属于本亚分组的各个所述样本个体的所述近视参量分布图，获得本亚分组对应的代表性近视参量分布图。For each of the subgroups, a representative myopia parameter distribution map corresponding to the subgroup is obtained based on the myopia parameter distribution maps of each of the sample individuals belonging to the subgroup.
优选的，获取两个代表性近视参量分布图的相似度包括：Preferably, obtaining the similarity of two representative myopia parameter distribution maps includes:
获取两个代表性近视参量分布图相应位置的近视参量值的差异均方根；Obtaining the root mean square difference of the myopia parameter values at corresponding positions of two representative myopia parameter distribution maps;
获取两个代表性近视参量分布图相应位置的近视参量值的比值平均值；Obtaining the average value of the ratio of the myopia parameter values at corresponding positions of two representative myopia parameter distribution maps;
根据两个代表性近视参量分布图的差异均方根和比值平均值，获得两个代表性近视参量分布图的相似度。The similarity of the two representative myopia parameter distribution maps is obtained based on the root mean square difference and the ratio average of the two representative myopia parameter distribution maps.
具体包括：根据上一级近视发展程度对应分组的任一代表性近视参量分布图与下一级近视发展程度对应分组的任一代表性近视参量分布图的相似度，建立上一级近视发展程度对应分组与下一级近视发展程度对应分组的相似度矩阵，所述相似度矩阵包括N行M列，第n行第m列元素表示上一级近视发展程度对应分组的第n代表性近视参量分布图与下一级近视发展程度对应分组的第m代表性近视参量分布图的相似度。Specifically, it includes: establishing a similarity matrix between the groups corresponding to the previous level of myopia development degree and the groups corresponding to the next level of myopia development degree based on the similarity between any representative myopia parameter distribution map of the group corresponding to the previous level of myopia development degree and any representative myopia parameter distribution map of the group corresponding to the next level of myopia development degree, the similarity matrix includes N rows and M columns, and the element in the nth row and mth column represents the similarity between the nth representative myopia parameter distribution map of the group corresponding to the previous level of myopia development degree and the mth representative myopia parameter distribution map of the group corresponding to the next level of myopia development degree.
由上述技术方案可知，本发明所提供的近视发展进化树建立方法，首先获取样本个体的视网膜预设区域的近视参量分布图，视网膜预设区域位于视网膜除黄斑区以外的区域，然后，根据样本个体眼球的光线偏折能力，将各个样本个体划分为多个分组，各个分组分别对应不同的近视发展程度，并对于每一分组，根据属于本分组的各个样本个体的近视参量分布图，获得本分组的代表性近视参量分布图，进一步获取任意的上一近视发展程度对应分组的任一代表性近视参量分布图与下一近视发展程度对应分组的任一代表性近视参量分布图的相似度，根据各个分组的代表性近视参量分布图以及相似度数据建立近视发展进化树。本发明实现根据周边视网膜的近视参量分布建立近视发展进化树，能够用于指导评估近视发展风险。It can be seen from the above technical scheme that the method for establishing the myopia development evolutionary tree provided by the present invention first obtains the myopia parameter distribution map of the preset retinal area of the sample individual, and the preset retinal area is located in the area of the retina other than the macular area, and then, according to the light deflection ability of the sample individual's eyeball, each sample individual is divided into multiple groups, each group corresponds to a different degree of myopia development, and for each group, according to the myopia parameter distribution map of each sample individual belonging to this group, a representative myopia parameter distribution map of this group is obtained, and further obtains the similarity between any representative myopia parameter distribution map of the group corresponding to the previous myopia development degree and any representative myopia parameter distribution map of the group corresponding to the next myopia development degree, and establishes a myopia development evolutionary tree according to the representative myopia parameter distribution map of each group and the similarity data. The present invention realizes the establishment of a myopia development evolutionary tree according to the myopia parameter distribution of the peripheral retina, which can be used to guide the assessment of myopia development risk.
本发明提供的一种近视发展风险评估装置，实现了根据评估对象的视网膜预设区域的近视参量分布，评估对象的近视发展风险。The present invention provides a device for evaluating the risk of myopia development, which can evaluate the risk of myopia development of an object according to the distribution of myopia parameters in a preset retinal area of the object.
附图说明BRIEF DESCRIPTION OF THE DRAWINGS
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
图1为本发明实施例提供的一种近视发展进化树建立方法的流程图；FIG1 is a flow chart of a method for establishing a myopia development evolutionary tree provided by an embodiment of the present invention;
图2为本发明实施例中根据属于本分组的各个样本个体的近视参量分布图获得本分组的代表性近视参量分布图的方法流程图；FIG2 is a flow chart of a method for obtaining a representative myopia parameter distribution map of a group according to the myopia parameter distribution maps of each sample individual belonging to the group in an embodiment of the present invention;
图3为本发明实施例中获得两个代表性近视参量分布图的相似度的方法流程图；FIG3 is a flow chart of a method for obtaining the similarity of two representative myopia parameter distribution graphs in an embodiment of the present invention;
图4为本发明实施例提供的一种近视发展风险评估装置的示意图。FIG4 is a schematic diagram of a device for assessing myopia progression risk provided by an embodiment of the present invention.
具体实施方式Detailed ways
为了使本技术领域的人员更好地理解本发明中的技术方案，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都应当属于本发明保护的范围。In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.
请参考图1，图1为本发明实施例提供的一种近视发展进化树建立方法的流程图，由图可知，所述近视发展进化树建立方法包括以下步骤：Please refer to FIG. 1 , which is a flow chart of a method for establishing a myopia development evolutionary tree provided by an embodiment of the present invention. As can be seen from the figure, the method for establishing a myopia development evolutionary tree comprises the following steps:
S10：获取样本个体的视网膜预设区域的近视参量分布图，所述视网膜预设区域位于视网膜除黄斑区以外的区域。S10: Obtain a myopia parameter distribution map of a preset retinal area of the sample individual, wherein the preset retinal area is located in an area of the retina other than the macular area.
近视参量是指发生近视时视网膜相对于正视眼表现出变化的参量。视网膜预设区域的近视参量分布图是指近视参量值随视网膜预设区域上位置的分布。Myopia parameters refer to the parameters of the retina that change relative to the emmetropia when myopia occurs. The myopia parameter distribution diagram of the preset retinal area refers to the distribution of the myopia parameter values with the position on the preset retinal area.
视网膜预设区域位于视网膜除黄斑区以外的区域，即从视网膜黄斑区以外的区域即周边视网膜选取视网膜预设区域，周边视网膜的光学分布特征对眼球的视觉成像质量或者近视风险评估具有重要影响。The preset retinal area is located in the area of the retina other than the macular area, that is, the preset retinal area is selected from the area outside the macular area of the retina, namely, the peripheral retina. The optical distribution characteristics of the peripheral retina have an important influence on the visual imaging quality of the eyeball or the myopia risk assessment.
优选的，视网膜预设区域至少包括视网膜上处于水平经线+20°到水平经线-16°之间且处于垂直经线+40°到垂直经线-40°之间的除黄斑区以外的区域，其中，水平经线的符号为正时代表上侧视网膜(下侧视野)，为负时代表下侧视网膜(上侧视野)。垂直经线的符号为正时代表鼻侧视网膜(颞侧视野)，为负时代表颞侧视网膜(鼻侧视野)。水平经线或者垂直经线的数值(°)表示以瞳孔中心为参照点，以视轴为中心线，偏离视轴的角度。Preferably, the preset retinal area includes at least the area on the retina between the horizontal meridian +20° and the horizontal meridian -16° and between the vertical meridian +40° and the vertical meridian -40° except the macular area, wherein the sign of the horizontal meridian represents the superior retina (inferior visual field) when it is positive, and represents the inferior retina (superior visual field) when it is negative. The sign of the vertical meridian represents the nasal retina (temporal visual field) when it is positive, and represents the temporal retina (nasal visual field) when it is negative. The numerical value (°) of the horizontal meridian or the vertical meridian represents the angle of deviation from the visual axis with the center of the pupil as the reference point and the visual axis as the center line.
可选的，视网膜的近视参量可以是但不限于光学离焦量、屈光度或者等效球镜度。相应的，可以获取样本个体视网膜预设区域的光学离焦量分布图、屈光度分布图或者是等效球镜度分布图。在具体实施时，可以选取屈光发育期成人(18岁及以上)和屈光进展期儿童(8岁-15岁)为样本个体，收集样本个体的相关数据。Optionally, the myopia parameter of the retina may be, but is not limited to, optical defocus, diopter or equivalent spherical power. Accordingly, an optical defocus distribution map, a diopter distribution map or an equivalent spherical power distribution map of a preset area of the retina of a sample individual may be obtained. In a specific implementation, adults in the refractive development period (18 years old and above) and children in the refractive progression period (8-15 years old) may be selected as sample individuals to collect relevant data of the sample individuals.
S11：根据所述样本个体眼球的光线偏折能力，将各个所述样本个体划分为多个分组，各个所述分组分别对应不同的近视发展程度。S11: Divide each of the sample individuals into a plurality of groups according to the light deflection ability of the eyeball of the sample individual, each of the groups corresponding to a different degree of myopia development.
根据样本个体眼球的光线偏折能力将样本个体划分成多个分组，各个分组分别对应不同的近视发展程度。可选的，可以根据样本个体的视网膜黄斑区的光线偏折能力大小划分出多个分组，各个分组分别对应不同的光线偏折能力范围。The sample individuals are divided into a plurality of groups according to the light deflection ability of the sample individual's eyeball, each group corresponding to a different degree of myopia development. Optionally, the sample individuals can be divided into a plurality of groups according to the light deflection ability of the retinal macular area, each group corresponding to a different range of light deflection ability.
示例的，可以通过视力检查获得黄斑区中心凹的等效球镜度(Sphericalequivalent refraction,SER)，将样本个体分类为正视眼组(-0.5D<SER<0.5D)、低度近视组(-2D<SER<-0.5D)、中度近视组(-4D<SER<-2D)、高度近视组(-6D<SER<-4D)和超高度近视组(SER<-6D)。For example, the spherical equivalent refraction (SER) of the fovea of the macula can be obtained through visual acuity examination, and the sample individuals can be classified into emmetropia group (-0.5D<SER<0.5D), low myopia group (-2D<SER<-0.5D), moderate myopia group (-4D<SER<-2D), high myopia group (-6D<SER<-4D) and extreme high myopia group (SER<-6D).
S12：对于每一所述分组，根据属于本分组的各个所述样本个体的所述近视参量分布图，获得本分组的代表性近视参量分布图。S12: For each of the groups, a representative myopia parameter distribution map of the group is obtained according to the myopia parameter distribution maps of each of the sample individuals belonging to the group.
本分组的代表性近视参量分布图是指能够反映本分组的样本个体的视网膜预设区域的近视参量分布情况的代表性数据。The representative myopia parameter distribution map of this group refers to representative data that can reflect the distribution of myopia parameters in the preset retinal area of the sample individuals in this group.
可选的对于每一分组，可通过以下过程根据属于本分组的各个样本个体的近视参量分布图，获得本分组的代表性近视参量分布图，请参考图2，图2为本实施例中根据属于本分组的各个样本个体的近视参量分布图获得本分组的代表性近视参量分布图的方法流程图，包括以下步骤：Optionally, for each group, a representative myopia parameter distribution map of the group can be obtained according to the myopia parameter distribution maps of each sample individual belonging to the group through the following process. Please refer to Figure 2, which is a flow chart of the method for obtaining the representative myopia parameter distribution map of the group according to the myopia parameter distribution maps of each sample individual belonging to the group in this embodiment, including the following steps:
S120：根据属于本分组的各个所述样本个体的所述近视参量分布图进行聚类，将属于本分组的各个所述样本个体划分为一个或者多个亚分组。S120: Clustering is performed according to the myopia parameter distribution diagrams of the sample individuals belonging to the present group, and the sample individuals belonging to the present group are divided into one or more sub-groups.
根据属于本分组的各个样本个体的近视参量分布图进行聚类，以近视参量分布图上各个位置的近视参量为变量进行聚类分析，将本分组的样本个体划分成一个或者多个亚分组。可选的，在聚类分析过程中在判断样本个体之间的距离时可以使用但不限于欧式距离。Clustering is performed according to the myopia parameter distribution map of each sample individual belonging to this group, and cluster analysis is performed using the myopia parameters at each position on the myopia parameter distribution map as a variable, so that the sample individuals in this group are divided into one or more sub-groups. Optionally, in the cluster analysis process, when judging the distance between sample individuals, Euclidean distance can be used but is not limited to it.
可选的，在聚类分析中在构造聚类谱系图时可以使用加权平均法。Optionally, a weighted average method may be used when constructing a cluster pedigree diagram in cluster analysis.
可以根据聚类得到的谱系图各样本个体之间的距离，寻找本分组中最常见的G个亚分组，G的取值优选为4。若某一亚分组的样本个体占比较少，可以将离散数据剔除，将亚分组的数量删减至G＝3或更少。According to the distance between each sample individual in the pedigree diagram obtained by clustering, the most common G subgroups in this group can be found, and the value of G is preferably 4. If the sample individuals in a certain subgroup account for a small proportion, the discrete data can be removed and the number of subgroups can be reduced to G = 3 or less.
优选的，在根据属于本分组的各个样本个体的近视参量分布图进行聚类之前，可以将属于本分组的各个样本个体的近视参量分布图进行标准化处理，有助于提高聚类结果的准确性。比如可以将近视参量分布图包含的数据转换为均值为0、标准差为1的数据形式。Preferably, before clustering according to the myopia parameter distribution diagrams of each sample individual belonging to this group, the myopia parameter distribution diagrams of each sample individual belonging to this group can be standardized, which helps to improve the accuracy of the clustering result. For example, the data contained in the myopia parameter distribution diagram can be converted into a data form with a mean of 0 and a standard deviation of 1.
S121：对于每一所述亚分组，根据属于本亚分组的各个所述样本个体的所述近视参量分布图，获得本亚分组对应的代表性近视参量分布图。S121: For each of the subgroups, a representative myopia parameter distribution map corresponding to the subgroup is obtained based on the myopia parameter distribution maps of each of the sample individuals belonging to the subgroup.
可以根据以下方法根据属于本亚分组的各个样本个体的近视参量分布图获得本亚分组的代表性近视参量分布图，具体为：将属于本亚分组的各个所述样本个体的所述近视参量分布图叠加再求取平均，获得本亚分组对应的代表性近视参量分布图。将本亚分组的各个样本个体的近视参量分布图相应位置的数据叠加再求取平均，将各个位置得到的数据组合重新得到近视参量分布图，进而得到本亚分组的代表性近视参量分布图。The representative myopia parameter distribution map of this subgroup can be obtained according to the myopia parameter distribution maps of each sample individual belonging to this subgroup according to the following method, specifically: superimposing the myopia parameter distribution maps of each sample individual belonging to this subgroup and then averaging them to obtain the representative myopia parameter distribution map corresponding to this subgroup. Superimposing the data at the corresponding positions of the myopia parameter distribution maps of each sample individual in this subgroup and then averaging them, combining the data obtained at each position to obtain the myopia parameter distribution map again, and then obtaining the representative myopia parameter distribution map of this subgroup.
根据上述过程获得本分组的各个亚分组对应的代表性近视参量分布图，进而得到本分组的各个代表性近视参量分布图。According to the above process, the representative myopia parameter distribution diagrams corresponding to each sub-group of this group are obtained, and then the representative myopia parameter distribution diagrams of this group are obtained.
S13：获取任意的上一级近视发展程度对应分组的任一代表性近视参量分布图与下一级近视发展程度对应分组的任一代表性近视参量分布图的相似度，根据各个所述分组的所述代表性近视参量分布图以及相似度数据建立近视发展进化树。S13: Obtain the similarity between any representative myopia parameter distribution graph of any group corresponding to the previous level of myopia development degree and any representative myopia parameter distribution graph of any group corresponding to the next level of myopia development degree, and establish a myopia development evolution tree based on the representative myopia parameter distribution graphs of each group and the similarity data.
对于构建的各个分别对应不同近视发展程度的分组，每一分组包括相应数量的代表性近视参量分布图。对于任意的相邻两级近视发展程度对应分组，获取上一级近视发展程度对应分组的任一代表性近视参量分布图与下一级近视发展程度对应分组的任一代表性近视参量分布图的相似度。For each group corresponding to different myopia development levels, each group includes a corresponding number of representative myopia parameter distribution graphs. For any two adjacent myopia development level corresponding groups, the similarity between any representative myopia parameter distribution graph of the previous level myopia development level group and any representative myopia parameter distribution graph of the next level myopia development level group is obtained.
可选的，可通过以下过程获得两个代表性近视参量分布图的相似度，请参考图3，图3为本实施例中获得两个代表性近视参量分布图的相似度的方法流程图，包括以下步骤：Optionally, the similarity between two representative myopia parameter distribution maps may be obtained through the following process. Please refer to FIG. 3 , which is a flow chart of a method for obtaining the similarity between two representative myopia parameter distribution maps in this embodiment, including the following steps:
S130：获取两个代表性近视参量分布图相应位置的近视参量值的差异均方根。S130: Obtain the root mean square difference of the myopia parameter values at corresponding positions of two representative myopia parameter distribution graphs.
计算两个代表性近视参量分布图相应位置的近视参量值的差值的平方，再对各个位置求取平均后开方，从而得到两个代表性近视参量分布图的差异均方根(Root meansquare,RMS)。The square of the difference between the myopia parameter values at the corresponding positions of the two representative myopia parameter distribution maps is calculated, and then the average of each position is taken and the square root is taken to obtain the root mean square (RMS) of the difference between the two representative myopia parameter distribution maps.
S131：获取两个代表性近视参量分布图相应位置的近视参量值的比值平均值。S131: Obtaining the average value of the ratio of the myopia parameter values at corresponding positions of two representative myopia parameter distribution maps.
计算两个代表性近视参量分布图相应位置的近视参量值的比值，再对各个位置的比值求平均，进而得到两个代表性近视参量分布图的比值平均值，表示为斜率(Slope)。优选的，在计算相应位置的近视参量值比值时始终以绝对值较小的数值/绝对值较大的数值进行计算。The ratio of the myopia parameter values at the corresponding positions of the two representative myopia parameter distribution graphs is calculated, and then the ratios at each position are averaged to obtain the average value of the ratio of the two representative myopia parameter distribution graphs, which is expressed as a slope. Preferably, when calculating the ratio of the myopia parameter values at the corresponding positions, the smaller absolute value/larger absolute value is always used for calculation.
S132：根据两个代表性近视参量分布图的差异均方根和比值平均值，获得两个代表性近视参量分布图的相似度。S132: Obtain the similarity of the two representative myopia parameter distribution maps according to the root mean square difference and the ratio average of the two representative myopia parameter distribution maps.
具体可根据以下公式获得两个代表性近视参量分布图的相似度：Specifically, the similarity of two representative myopia parameter distribution maps can be obtained according to the following formula:
DC＝S/RMS；DC = S/RMS;
其中，DC表示两个代表性近视参量分布图的相似度，S表示两个代表性近视参量分布图的比值平均值，RMS表示两个代表性近视参量分布图的差异均方根。Among them, DC represents the similarity between two representative myopia parameter distribution maps, S represents the average value of the ratio of two representative myopia parameter distribution maps, and RMS represents the root mean square of the difference between two representative myopia parameter distribution maps.
两个代表性近视参量分布图的相似度反映了两个代表性近视参量分布图的相似程度，相似度数值越大，表示两个代表性近视参量分布图越相似。The similarity between two representative myopia parameter distribution maps reflects the degree of similarity between the two representative myopia parameter distribution maps. The larger the similarity value, the more similar the two representative myopia parameter distribution maps are.
优选的，在获取上一级近视发展程度对应分组的任一代表性近视参量分布图与下一级近视发展程度对应分组的任一代表性近视参量分布图的相似度之前，可以对各个分组的代表性近视参量分布图进行标准化处理，具体可以分别对各个代表性近视参量分布图各位置的参量值进行平移，或者分别对各个代表性近视参量分布图各位置的参量值进行缩放处理，或者对各个代表性近视参量分布图各位置的参量值分别进行平移以及对各个代表性近视参量分布图各位置的参量值分别进行缩放处理。其中，对代表性近视参量分布图进行平移是指对各位置的参量值加或者减相同的数值，对代表性近视参量分布图进行缩放处理是指将各位置的参量值乘以相同的系数。通过对各个代表性近视参量分布图进行标准化处理，使各个代表性近视参量分布图具有相同的最大值和最小值，有助于提高获得结果的准确性。Preferably, before obtaining the similarity between any representative myopia parameter distribution graph of the group corresponding to the previous level of myopia development degree and any representative myopia parameter distribution graph of the group corresponding to the next level of myopia development degree, the representative myopia parameter distribution graphs of each group can be standardized. Specifically, the parameter values of each position of each representative myopia parameter distribution graph can be translated, or the parameter values of each position of each representative myopia parameter distribution graph can be scaled, or the parameter values of each position of each representative myopia parameter distribution graph can be translated and the parameter values of each position of each representative myopia parameter distribution graph can be scaled. Among them, translating the representative myopia parameter distribution graph refers to adding or subtracting the same value to the parameter value of each position, and scaling the representative myopia parameter distribution graph refers to multiplying the parameter value of each position by the same coefficient. By standardizing each representative myopia parameter distribution graph, each representative myopia parameter distribution graph has the same maximum and minimum values, which helps to improve the accuracy of the obtained results.
在具体实施时，获取上一级近视发展程度对应分组的任一代表性近视参量分布图与下一级近视发展程度对应分组的任一代表性近视参量分布图的差异均方根后，可以建立差异均方根关系矩阵RMSM(Root mean square matrix,RMSM)。获取任意的上一级近视发展程度对应分组的任一代表性近视参量分布图与下一级近视发展程度对应分组的任一代表性近视参量分布图的比值平均值后，可以建立斜率关系矩阵SM(Slope matrix,SM)。In specific implementation, after obtaining the root mean square difference between any representative myopia parameter distribution diagram of the group corresponding to the previous level of myopia development and any representative myopia parameter distribution diagram of the group corresponding to the next level of myopia development, a root mean square difference relationship matrix RMSM (Root mean square matrix, RMSM) can be established. After obtaining the average value of the ratio of any representative myopia parameter distribution diagram of the group corresponding to the previous level of myopia development and any representative myopia parameter distribution diagram of the group corresponding to the next level of myopia development, a slope relationship matrix SM (Slope matrix, SM) can be established.
根据上一级近视发展程度对应分组的任一代表性近视参量分布图与下一级近视发展程度对应分组的任一代表性近视参量分布图的相似度，可以建立上一级近视发展程度对应分组与下一级近视发展程度对应分组的相似度矩阵，所述相似度矩阵包括N行M列，第n行第m列元素表示上一级近视发展程度对应分组的第n代表性近视参量分布图与下一级近视发展程度对应分组的第m代表性近视参量分布图的相似度。建立的相似度矩阵可描述为决定系数矩阵DCM(Determination coefficients matrix,DCM)。According to the similarity between any representative myopia parameter distribution diagram of the group corresponding to the previous level of myopia development degree and any representative myopia parameter distribution diagram of the group corresponding to the next level of myopia development degree, a similarity matrix between the group corresponding to the previous level of myopia development degree and the group corresponding to the next level of myopia development degree can be established, wherein the similarity matrix includes N rows and M columns, and the element of the nth row and the mth column represents the similarity between the nth representative myopia parameter distribution diagram of the group corresponding to the previous level of myopia development degree and the mth representative myopia parameter distribution diagram of the group corresponding to the next level of myopia development degree. The established similarity matrix can be described as a determination coefficients matrix DCM (Determination coefficients matrix, DCM).
进一步，根据各个分组的代表性近视参量分布图以及相似度数据建立近视发展进化树。每一分组的代表性近视参量分布图反映了本分组对应近视发展程度的几类代表性的视网膜预设区域的近视参量分布，结合各个近视发展程度对应分组之间的相似度数据，展现了从正视眼发展为超高度近视眼，视网膜预设区域的近视参量分布可能经历的变化过程。Furthermore, a myopia development evolution tree was established based on the representative myopia parameter distribution diagrams and similarity data of each group. The representative myopia parameter distribution diagram of each group reflects the myopia parameter distribution of several representative retinal preset areas corresponding to the myopia development degree of this group. Combined with the similarity data between the groups corresponding to each myopia development degree, it shows the possible changes in the myopia parameter distribution of the retinal preset area from emmetropia to super-high myopia.
根据近视发展进化树，下一级近视发展程度的近视参量分布是由上一级近视发展程度的近视参量分布发展而来，即近视发生进展。上一级近视发展程度的近视参量分布并不一定会发展为下一级近视发展程度的近视参量分布，即近视发展停止。上下两级近视发展程度之间，相似度最高的两近视参量分布是相互之间最有可能的进展路线。以相似度数据为依据，从下一级近视发展程度的近视参量分布中找出与上一级近视发展程度的一近视参量分布相似度最高的一个，将两近视参量分布相连接，即形成进化路线。According to the myopia development evolution tree, the myopia parameter distribution of the next level of myopia development is developed from the myopia parameter distribution of the previous level of myopia development, that is, myopia progresses. The myopia parameter distribution of the previous level of myopia development does not necessarily develop into the myopia parameter distribution of the next level of myopia development, that is, myopia development stops. The two myopia parameter distributions with the highest similarity between the upper and lower levels of myopia development are the most likely progression routes between each other. Based on the similarity data, find the myopia parameter distribution of the next level of myopia development that has the highest similarity to the myopia parameter distribution of the previous level of myopia development, connect the two myopia parameter distributions, and form an evolutionary route.
本实施例方法实现根据周边视网膜的近视参量分布建立近视发展进化树，建立的近视发展进化树能够用于指导评估近视发展风险，以及能够指导优化近视矫正光学产品的光学设计以及指导近视防控。The method of this embodiment realizes the establishment of a myopia development evolution tree based on the distribution of myopia parameters of the peripheral retina. The established myopia development evolution tree can be used to guide the assessment of myopia development risk, as well as to guide the optimization of the optical design of myopia correction optical products and guide myopia prevention and control.
请参考图4，图4为本发明实施例提供的一种近视发展风险评估装置的示意图，由图可知，所述近视发展风险评估装置包括：Please refer to FIG. 4 , which is a schematic diagram of a myopia development risk assessment device provided by an embodiment of the present invention. As can be seen from the figure, the myopia development risk assessment device includes:
获取装置20，用于获取评估对象的视网膜预设区域的近视参量分布图；An acquisition device 20, used for acquiring a myopia parameter distribution map of a preset retinal area of an evaluation subject;
评估装置21，用于根据所述评估对象的所述近视参量分布图以及预先建立的近视发展进化树，获得所述评估对象的近视风险结果，所述近视发展进化树反映了上一级近视发展程度的视网膜预设区域的近视参量分布图向下一级近视发展程度的视网膜预设区域的近视参量分布图的发展情况。The evaluation device 21 is used to obtain the myopia risk result of the evaluation object based on the myopia parameter distribution map of the evaluation object and a pre-established myopia development evolution tree, wherein the myopia development evolution tree reflects the development of the myopia parameter distribution map of the retinal preset area at the previous level of myopia development degree to the myopia parameter distribution map of the retinal preset area at the next level of myopia development degree.
近视参量是指发生近视时视网膜相对于正视眼表现出变化的参量。视网膜预设区域的近视参量分布图是指近视参量值随视网膜预设区域上位置的分布。优选的，视网膜预设区域位于视网膜除黄斑区以外的区域，即从视网膜黄斑区以外的区域即周边视网膜选取视网膜预设区域。Myopia parameters refer to the parameters of the retina that change relative to the emmetropic eye when myopia occurs. The myopia parameter distribution diagram of the preset retinal area refers to the distribution of the myopia parameter values with the position on the preset retinal area. Preferably, the preset retinal area is located in the area of the retina other than the macular area, that is, the preset retinal area is selected from the area other than the macular area of the retina, that is, the peripheral retina.
近视发展进化树包括不同近视发展程度的视网膜预设区域的近视参量分布图，以及反映了上一级近视发展程度的视网膜预设区域的近视参量分布图向下一级近视发展程度的视网膜预设区域的近视参量分布图的发展情况。The myopia development evolution tree includes myopia parameter distribution maps of retinal preset areas with different myopia development degrees, and reflects the development of the myopia parameter distribution map of the retinal preset area at the previous level of myopia development degree to the myopia parameter distribution map of the retinal preset area at the next level of myopia development degree.
本实施例的近视发展风险评估装置，通过获取评估对象视网膜预设区域的近视参量分布图，结合预先建立的近视发展进化树评估出对象的近视风险结果，实现了根据评估对象的视网膜预设区域的近视参量分布，评估对象的近视发展风险。The myopia development risk assessment device of the present embodiment obtains the myopia parameter distribution map of the preset retinal area of the assessment object, and evaluates the myopia risk result of the object in combination with a pre-established myopia development evolution tree, thereby achieving the myopia development risk assessment of the object based on the myopia parameter distribution of the preset retinal area of the assessment object.
可选的，获取装置20可以是基于波前像差原理，通过测量评估对象眼球屈光系统的波前像差，建立视网膜的近视参量分布图，获得视网膜预设区域的近视参量分布图。Optionally, the acquisition device 20 may be based on the wavefront aberration principle, and may establish a myopia parameter distribution map of the retina by measuring and evaluating the wavefront aberration of the eye refractive system of the object, so as to obtain the myopia parameter distribution map of a preset retinal area.
具体的请参考图1，建立所述近视发展进化树包括以下步骤：For details, please refer to FIG1 . Establishing the myopia development evolution tree includes the following steps:
S10：获取样本个体的视网膜预设区域的近视参量分布图，所述视网膜预设区域位于视网膜除黄斑区以外的区域。S10: Obtain a myopia parameter distribution map of a preset retinal area of the sample individual, wherein the preset retinal area is located in an area of the retina other than the macular area.
S11：根据所述样本个体眼球的光线偏折能力，将各个所述样本个体划分为多个分组，各个所述分组分别对应不同的近视发展程度。S11: Divide each of the sample individuals into a plurality of groups according to the light deflection ability of the eyeball of the sample individual, each of the groups corresponding to a different degree of myopia development.
根据样本个体眼球的光线偏折能力将样本个体划分成多个分组，各个分组分别对应不同的近视发展程度。可选的，可以根据样本个体的视网膜黄斑区的光线偏折能力大小划分出多个分组，各个分组分别对应不同的光线偏折能力范围。The sample individuals are divided into a plurality of groups according to the light deflection ability of the sample individual's eyeball, each group corresponding to a different degree of myopia development. Optionally, the sample individuals can be divided into a plurality of groups according to the light deflection ability of the retinal macular area, each group corresponding to a different range of light deflection ability.
S12：对于每一所述分组，根据属于本分组的各个所述样本个体的所述近视参量分布图，获得本分组的代表性近视参量分布图。S12: For each of the groups, a representative myopia parameter distribution map of the group is obtained according to the myopia parameter distribution maps of each of the sample individuals belonging to the group.
本分组的代表性近视参量分布图是指能够反映本分组的样本个体的视网膜预设区域的近视参量分布情况的代表性数据。The representative myopia parameter distribution map of this group refers to representative data that can reflect the distribution of myopia parameters in the preset retinal area of the sample individuals in this group.
可选的对于每一分组，可通过以下过程根据属于本分组的各个样本个体的近视参量分布图，获得本分组的代表性近视参量分布图，请参考图2，包括以下步骤：Optionally, for each group, a representative myopia parameter distribution map of the group can be obtained according to the myopia parameter distribution maps of each sample individual belonging to the group through the following process, please refer to Figure 2, including the following steps:
S120：根据属于本分组的各个所述样本个体的所述近视参量分布图进行聚类，将属于本分组的各个所述样本个体划分为一个或者多个亚分组。S120: Clustering is performed according to the myopia parameter distribution diagrams of the sample individuals belonging to the present group, and the sample individuals belonging to the present group are divided into one or more sub-groups.
根据属于本分组的各个样本个体的近视参量分布图进行聚类，以近视参量分布图上各个位置的近视参量为变量进行聚类分析，将本分组的样本个体划分成一个或者多个亚分组。Clustering is performed according to the myopia parameter distribution map of each sample individual belonging to this group, and cluster analysis is performed using the myopia parameters at each position on the myopia parameter distribution map as a variable to divide the sample individuals in this group into one or more sub-groups.
可以根据聚类得到的谱系图各样本个体之间的距离，寻找本分组中最常见的G个亚分组，G的取值优选为4。若某一亚分组的样本个体占比较少，可以将离散数据剔除，将亚分组的数量删减至G＝3或更少。According to the distance between each sample individual in the pedigree diagram obtained by clustering, the most common G subgroups in this group can be found, and the value of G is preferably 4. If the sample individuals in a certain subgroup account for a small proportion, the discrete data can be removed and the number of subgroups can be reduced to G = 3 or less.
S121：对于每一所述亚分组，根据属于本亚分组的各个所述样本个体的所述近视参量分布图，获得本亚分组对应的代表性近视参量分布图。S121: For each of the subgroups, a representative myopia parameter distribution map corresponding to the subgroup is obtained based on the myopia parameter distribution maps of each of the sample individuals belonging to the subgroup.
可以根据以下方法根据属于本亚分组的各个样本个体的近视参量分布图获得本亚分组的代表性近视参量分布图，具体为：将属于本亚分组的各个所述样本个体的所述近视参量分布图叠加再求取平均，获得本亚分组对应的代表性近视参量分布图。将本亚分组的各个样本个体的近视参量分布图相应位置的数据叠加再求取平均，将各个位置得到的数据组合重新得到近视参量分布图，进而得到本亚分组的代表性近视参量分布图。The representative myopia parameter distribution map of this subgroup can be obtained according to the myopia parameter distribution maps of each sample individual belonging to this subgroup according to the following method, specifically: superimposing the myopia parameter distribution maps of each sample individual belonging to this subgroup and then averaging them to obtain the representative myopia parameter distribution map corresponding to this subgroup. Superimposing the data at the corresponding positions of the myopia parameter distribution maps of each sample individual in this subgroup and then averaging them, combining the data obtained at each position to obtain the myopia parameter distribution map again, and then obtaining the representative myopia parameter distribution map of this subgroup.
根据上述过程获得本分组的各个亚分组对应的代表性近视参量分布图，进而得到本分组的各个代表性近视参量分布图。According to the above process, the representative myopia parameter distribution diagrams corresponding to each sub-group of this group are obtained, and then the representative myopia parameter distribution diagrams of this group are obtained.
S13：获取任意的上一级近视发展程度对应分组的任一代表性近视参量分布图与下一级近视发展程度对应分组的任一代表性近视参量分布图的相似度，根据各个所述分组的所述代表性近视参量分布图以及相似度数据建立近视发展进化树。S13: Obtain the similarity between any representative myopia parameter distribution graph of any group corresponding to the previous level of myopia development degree and any representative myopia parameter distribution graph of any group corresponding to the next level of myopia development degree, and establish a myopia development evolution tree based on the representative myopia parameter distribution graphs of each group and the similarity data.
对于构建的各个分别对应不同近视发展程度的分组，每一分组包括相应数量的代表性近视参量分布图。对于任意的相邻两级近视发展程度对应分组，获取上一级近视发展程度对应分组的任一代表性近视参量分布图与下一级近视发展程度对应分组的任一代表性近视参量分布图的相似度。For each group corresponding to different myopia development levels, each group includes a corresponding number of representative myopia parameter distribution graphs. For any two adjacent myopia development level corresponding groups, the similarity between any representative myopia parameter distribution graph of the previous level myopia development level group and any representative myopia parameter distribution graph of the next level myopia development level group is obtained.
可选的，可通过以下过程获得两个代表性近视参量分布图的相似度，请参考图3，包括以下步骤：Optionally, the similarity between two representative myopia parameter distribution maps may be obtained by the following process, please refer to FIG3 , which includes the following steps:
S130：获取两个代表性近视参量分布图相应位置的近视参量值的差异均方根。S130: Obtain the root mean square difference of the myopia parameter values at corresponding positions of two representative myopia parameter distribution graphs.
计算两个代表性近视参量分布图相应位置的近视参量值的差值的平方，再对各个位置求取平均后开方，从而得到两个代表性近视参量分布图的差异均方根(Root meansquare,RMS)。The square of the difference between the myopia parameter values at the corresponding positions of the two representative myopia parameter distribution maps is calculated, and then the average of each position is taken and the square root is taken to obtain the root mean square (RMS) of the difference between the two representative myopia parameter distribution maps.
S131：获取两个代表性近视参量分布图相应位置的近视参量值的比值平均值。S131: Obtaining the average value of the ratio of the myopia parameter values at corresponding positions of two representative myopia parameter distribution maps.
计算两个代表性近视参量分布图相应位置的近视参量值的比值，再对各个位置的比值求平均，进而得到两个代表性近视参量分布图的比值平均值，表示为斜率(Slope)。优选的，在计算相应位置的近视参量值比值时始终以绝对值较小的数值/绝对值较大的数值进行计算。The ratio of the myopia parameter values at the corresponding positions of the two representative myopia parameter distribution graphs is calculated, and then the ratios at each position are averaged to obtain the average value of the ratio of the two representative myopia parameter distribution graphs, which is expressed as a slope. Preferably, when calculating the ratio of the myopia parameter values at the corresponding positions, the smaller absolute value/larger absolute value is always used for calculation.
S132：根据两个代表性近视参量分布图的差异均方根和比值平均值，获得两个代表性近视参量分布图的相似度。S132: Obtain the similarity of the two representative myopia parameter distribution maps according to the root mean square difference and the ratio average of the two representative myopia parameter distribution maps.
具体可根据以下公式获得两个代表性近视参量分布图的相似度：Specifically, the similarity of two representative myopia parameter distribution maps can be obtained according to the following formula:
DC＝S/RMS；DC = S/RMS;
其中，DC表示两个代表性近视参量分布图的相似度，S表示两个代表性近视参量分布图的比值平均值，RMS表示两个代表性近视参量分布图的差异均方根。Among them, DC represents the similarity between two representative myopia parameter distribution maps, S represents the average value of the ratio of two representative myopia parameter distribution maps, and RMS represents the root mean square of the difference between two representative myopia parameter distribution maps.
两个代表性近视参量分布图的相似度反映了两个代表性近视参量分布图的相似程度，相似度数值越大，表示两个代表性近视参量分布图越相似。The similarity between two representative myopia parameter distribution maps reflects the degree of similarity between the two representative myopia parameter distribution maps. The larger the similarity value, the more similar the two representative myopia parameter distribution maps are.
在具体实施时，获取上一级近视发展程度对应分组的任一代表性近视参量分布图与下一级近视发展程度对应分组的任一代表性近视参量分布图的差异均方根后，可以建立差异均方根关系矩阵RMSM(Root mean square matrix,RMSM)。获取任意的上一级近视发展程度对应分组的任一代表性近视参量分布图与下一级近视发展程度对应分组的任一代表性近视参量分布图的比值平均值后，可以建立斜率关系矩阵SM(Slope matrix,SM)。In specific implementation, after obtaining the root mean square difference between any representative myopia parameter distribution diagram of the group corresponding to the previous level of myopia development and any representative myopia parameter distribution diagram of the group corresponding to the next level of myopia development, a root mean square difference relationship matrix RMSM (Root mean square matrix, RMSM) can be established. After obtaining the average value of the ratio of any representative myopia parameter distribution diagram of the group corresponding to the previous level of myopia development and any representative myopia parameter distribution diagram of the group corresponding to the next level of myopia development, a slope relationship matrix SM (Slope matrix, SM) can be established.
根据上一级近视发展程度对应分组的任一代表性近视参量分布图与下一级近视发展程度对应分组的任一代表性近视参量分布图的相似度，可以建立上一级近视发展程度对应分组与下一级近视发展程度对应分组的相似度矩阵，所述相似度矩阵包括N行M列，第n行第m列元素表示上一级近视发展程度对应分组的第n代表性近视参量分布图与下一级近视发展程度对应分组的第m代表性近视参量分布图的相似度。建立的相似度矩阵可描述为决定系数矩阵DCM(Determination coefficients matrix,DCM)。According to the similarity between any representative myopia parameter distribution diagram of the group corresponding to the previous level of myopia development degree and any representative myopia parameter distribution diagram of the group corresponding to the next level of myopia development degree, a similarity matrix between the group corresponding to the previous level of myopia development degree and the group corresponding to the next level of myopia development degree can be established, wherein the similarity matrix includes N rows and M columns, and the element of the nth row and the mth column represents the similarity between the nth representative myopia parameter distribution diagram of the group corresponding to the previous level of myopia development degree and the mth representative myopia parameter distribution diagram of the group corresponding to the next level of myopia development degree. The established similarity matrix can be described as a determination coefficients matrix DCM (Determination coefficients matrix, DCM).
进一步，根据各个分组的代表性近视参量分布图以及相似度数据建立近视发展进化树。每一分组的代表性近视参量分布图反映了本分组对应近视发展程度的几类代表性的视网膜预设区域的近视参量分布，结合各个近视发展程度对应分组之间的相似度数据，展现了从正视眼发展为超高度近视眼，视网膜预设区域的近视参量分布可能经历的变化过程。Furthermore, a myopia development evolution tree was established based on the representative myopia parameter distribution diagrams and similarity data of each group. The representative myopia parameter distribution diagram of each group reflects the myopia parameter distribution of several representative retinal preset areas corresponding to the myopia development degree of this group. Combined with the similarity data between the groups corresponding to each myopia development degree, it shows the possible changes in the myopia parameter distribution of the retinal preset area from emmetropia to super-high myopia.
根据近视发展进化树，下一级近视发展程度的近视参量分布是由上一级近视发展程度的近视参量分布发展而来，即近视发生进展。上一级近视发展程度的近视参量分布并不一定会发展为下一级近视发展程度的近视参量分布，即近视发展停止。上下两级近视发展程度之间，相似度最高的两近视参量分布是相互之间最有可能的进展路线。以相似度数据为依据，从下一级近视发展程度的近视参量分布中找出与上一级近视发展程度的一近视参量分布相似度最高的一个，将两近视参量分布相连接，即形成进化路线。According to the myopia development evolution tree, the myopia parameter distribution of the next level of myopia development is developed from the myopia parameter distribution of the previous level of myopia development, that is, myopia progresses. The myopia parameter distribution of the previous level of myopia development does not necessarily develop into the myopia parameter distribution of the next level of myopia development, that is, myopia development stops. The two myopia parameter distributions with the highest similarity between the upper and lower levels of myopia development are the most likely progression routes between each other. Based on the similarity data, find the myopia parameter distribution of the next level of myopia development that has the highest similarity to the myopia parameter distribution of the previous level of myopia development, connect the two myopia parameter distributions, and form an evolutionary route.
以上对本发明所提供的近视发展进化树建立方法及近视发展风险评估装置进行了详细介绍。本文中应用了具体个例对本发明的原理及实施方式进行了阐述，以上实施例的说明只是用于帮助理解本发明的方法及其核心思想。应当指出，对于本技术领域的普通技术人员来说，在不脱离本发明原理的前提下，还可以对本发明进行若干改进和修饰，这些改进和修饰也落入本发明权利要求的保护范围内。The above is a detailed introduction to the method for establishing the myopia development evolutionary tree and the myopia development risk assessment device provided by the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present invention, the present invention can also be improved and modified, and these improvements and modifications also fall within the scope of protection of the claims of the present invention.
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