KR20070077319A - Method for growth prediction with automatic rus score calculation - Google Patents

Abstract

A method for predicting growth by automatically calculating an RUS score is provided to minimize an error depending on an analyzer by automatically calculating the RUS score from a bone shape of a hand based on an X-ray photograph. The X-ray photograph of the hand is received(100). Factors including anatomical feature, structure, size, concentration, acuteness, and shape of a growth plate of bones forming a wrist are automatically classified according to a technique including an image processing technique(110). The RUS score is calculated by assigning weight to the factors according to classified details based on comparison between the classified factors and reference data(120). Predicted height is calculated by considering the factors including the RUS score, a gender, an age, and sexual maturity(130).

Description

Method for growth prediction with automatic RUS score calculation

Figure 1 shows the flow of a method for automatically predicting growth by calculating the RUS score in accordance with the present invention.

2 to 19 are diagrams for showing an example for comparing the X-ray image of the bone with a reference image.

The present invention relates to medical care, and more particularly, to a method of predicting growth by automatically calculating an RUS score to predict a bone growth process according to a change in the shape and size of a growth plate of a wrist bone.

RUS is a compound word of Radius, Ulna, and Short Bone. Analytically analyzes the growth of the 13 bones of the wrist and anatomically analyzes changes in characteristics, structure, size, concentration, sharpness, and shape. Find the score. This score can be used to predict the evolution of bone growth, a theory established and tested by Tanner & White.

In the conventional calculation of the RUS score, the wrist of the person to be judged is photographed by X-ray to obtain information about the bone, and then the RUS score is calculated according to the information. This calculated RUS score is processed according to the above validated theory to predict the person's future growth.

However, analyzing each part of the shape of the bone taken by X-ray is difficult unless an experienced specialist, and the results may vary depending on the person analyzing. In the end, the growth prediction depends on who analyzes the X-rays and obtains the RUS score.

Because growth treatments for a person can be determined based on the calculated growth forecasts, different RUS scores for each person analyzing can cause significant problems.

Technical problem to be solved by the present invention, in order to solve the above problems, by automatically calculating the RUS score from the shape of the bone through the X-ray automatically RUS score to minimize the error that can vary for each analyst It is to provide a method for predicting growth by calculating.

According to the present invention for solving the technical problem, a method for automatically predicting the growth by calculating the RUS score, (a) receiving an X-ray photograph taken of the hand of the person to be analyzed; (b) the elements including anatomical features, structure, size, density, sharpness and shape of the growth plate of bones constituting the wrist of the X-ray photograph automatically according to a predetermined method including an image processing method Classifying; (c) calculating a RUS score by assigning a weighted score according to the classified details; And (d) calculating a predicted growth height in consideration of factors including the RUS score, gender, age and gender maturity of the person to be analyzed.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

Figure 1 shows the flow of a method for automatically predicting growth by calculating the RUS score in accordance with the present invention.

An X-ray photograph of the hand of the person to be analyzed is input (step 100), and the anatomical characteristics, structure, size, concentration, sharpness, and shape of the growth plates of bones constituting the wrist of the X-ray photograph are included. The elements are automatically classified according to a predetermined method including an image processing method (step 110), a weighted score is calculated according to the classified details to calculate an RUS score (step 120), and the RUS score, a person to be analyzed. The estimated growth height is calculated in consideration of factors including gender, age, and maturity of the adult (step 130).

X-rays of human hands were taken separately. Digital data that can be read by a device such as a computer is photographed or converted into digital data by a method such as scanning, and the converted result is read into a computer (step 100).

At this time, the X-ray picture is a picture of the entire hand including the wrist.

Radial, ulna, first metacarpal, third metacarpal, fifth metacarpal, first osteotomy, third osteotomy, fifth osteotomy, third osteotomy, fifth osteotomy, first horse Elements including the anatomical characteristics, structure, size, concentration, sharpness, and shape of the growth plate of the 13 bones of the osteotomy, the third end fracture, and the fifth end osteotomy are classified (step 110).

At this time, the concentration is determined by the difference in the shade of the X-ray photograph due to the difference in bone density.

In this case, the above-mentioned elements are automatically classified using a predetermined method including an image processing method of an X-ray photographed image of each bone, rather than being classified through the eyes of an expert.

The RUS scores are assigned by comparing the details classified as described above, that is, the image of each bone with a reference image which is predetermined basic data corresponding thereto (step 120).

At this time, the reference images are images of the average bone age by age and gender, and a large number of sample image pictures may be analyzed and set as a reference image in the same manner as in TW.

2 to 19 are diagrams for illustrating an example for comparing an X-ray image of bone photographed in step 120 with a reference image.

2 and 3 are for the radius. B to I are classified according to the degree of differentiation and formation of growth plates or bones, and the RUS score is determined according to the classification and gender. There is also a classification of A, but it is not yet formed, and is not shown separately because the RUS score is assigned to 0. Classify the level of fresh bone nucleus in stage B. This classification can be done by Tanner & White.

4 and 5 are for the ulna, and FIGS. 6 and 7 are for the first metacarpal. 8 and 9 are for the third metacarpal bone. However, since the development process of the third metacarpal and the fifth metacarpal is the same, the RUS score can be determined using the same criteria and the RUS score can be determined.

10 and 11 are for the first fracture, and the third fracture and the fifth fracture are the same as the development process can be used with Figure 12 and 13 together.

Since the third and fifth medullary bones also have the same developmental process, FIGS. 14 and 15 are for the third and fifth medullary bones.

16 and 17 are views for the first end fracture, and since the third end fracture and the fifth end fracture have the same developmental processes, the drawings of FIGS. 18 and 19 are used together.

The above drawings are contrasted with reference images for each bone, and according to the present invention, a human X-ray image is received as digital data and automatically classified, and the classified results are automatically compared with the reference image for each bone. The RUS score is given according to the person's age and gender

In other words, in the past, the reliable data was automatically provided based on expert judgment.

When the sum of the RUS scores obtained for each of the bones is added, it becomes information about the bone age, and the calculated growth height of the person can be calculated using the same (step 130). This requires the person's current key and RUS score.

Once the RUS score is calculated, the bone age is obtained by converting it according to the already published and published data. This can be called RUS score me.

Table 1 shows examples of criteria for boys 'RUS (TW3) bone age according to RUS score, and Table 2 shows examples of criteria for girls' RUS (TW3) bone age according to RUS score.

In Tables 3 and 4, the radius, ulna, the first metacarpal, the third metacarpal, the fifth metacarpal, the first fracture, the third fracture, the fifth fracture, the third fracture, the fifth fracture, For each of the 13 bones of the end fracture, the third end fracture, and the fifth end fracture, the grades are indicated by A to I, and the scores assigned to the grades are indicated. At this time, the grades A to I are the same as those shown in FIGS. 2 to 19, and the grade A is not developed and the score is 0, so it is not separately indicated in FIGS.

TABLE 1

TABLE 2

TABLE 3

TABLE 4

The predicted height of the person to be examined is calculated according to the RUS score age according to the RUS score obtained based on the above criteria.

Specifically, the predicted height of a boy before the age of 10 is the current height + 97 -6 (RUS score age) + standard deviation. At this time, the standard deviation is 3.7cm.

The predicted height of girls under 7 years old is the current height + 85-6 (RUS score age) + standard deviation, and the standard deviation is also 3.7cm.

Also, the predicted height of an adult is the current height + a (RUS score age) + b.

Where a is a constant that varies with age, and b is a standard deviation coefficient that varies with age. Regarding such constants and coefficients, reference may be made to what is already shown in published and known literature.

Those skilled in the art will appreciate that the present invention can be implemented in a modified form without departing from the essential features of the present invention. Therefore, the disclosed embodiments should be considered in descriptive sense only and not for purposes of limitation. Examples included in the above description are introduced for the understanding of the present invention, and these examples do not limit the spirit and scope of the present invention. It will be apparent to those skilled in the art that various embodiments in accordance with the present invention in addition to the above examples are possible. The scope of the present invention is shown not in the above description but in the claims, and all differences within the scope will be construed as being included in the present invention.

In addition, it can be easily understood by those skilled in the art that each of the above steps according to the present invention can be variously implemented in software or hardware using a general programming technique.

And some steps of the invention may also be embodied as computer readable code on a computer readable recording medium. The computer-readable recording medium includes all kinds of recording devices in which data that can be read by a computer system is stored.

According to the present invention, an element including an anatomical characteristic, structure, size, concentration, sharpness and shape of a growth plate of bones constituting the wrist of the X-ray photograph by receiving an X-ray photograph of the hand of the person to be analyzed is analyzed. The growth key predicted in consideration of factors including the RUS score, the gender and the age of the person to be analyzed, by automatically classifying the images, including image processing methods, or by assigning weighted scores according to the classified details. By calculating the RUS score, which has been difficult in the prior art without the judgment of a skilled expert, and obtains the predicted height of a person uniformly with a reliable and reliable judgment result that can vary from expert to expert to obtain the RUS score. Finding offers the advantage of providing more reliable results in less time.

Claims (2)

(a) receiving an X-ray photograph of the hand of the person to be analyzed; (b) automatically classifying elements including anatomical features, structure, size, concentration, sharpness and shape of the growth plate of bones constituting the wrist of the X-ray photograph according to a predetermined method including an image processing method; step; (c) calculating a RUS score by assigning a weighted score according to the classified details; And (d) calculating a growth key predicted in consideration of factors including the RUS score, the gender, age, and gender maturity of the person to be analyzed; automatically calculating the RUS score to predict growth. How to. The method of claim 1, The method of claim (c), wherein the classified factors are compared with a predetermined reference data to calculate an RUS score, thereby automatically calculating a RUS score to predict growth.

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