WO2019198981A1

WO2019198981A1 - Method for analyzing health condition and providing information on basis of captured image, device therefor, and recording medium therefor

Info

Publication number: WO2019198981A1
Application number: PCT/KR2019/004019
Authority: WO
Inventors: 김성우; 원영준
Original assignee: 가톨릭관동대학교산학협력단
Priority date: 2018-04-10
Filing date: 2019-04-05
Publication date: 2019-10-17
Also published as: KR20190118309A; KR102085812B1

Abstract

The present invention relates to a method for analyzing a health condition and providing information on the basis of a captured image, a device therefor, and a recording medium therefor. An embodiment of the present invention provides a method for analyzing a health condition and providing information on basis of a captured image, the method comprising the steps of: generating a captured image by capturing an image of a user's body by a capturing unit; extracting an image of a particular body portion from the captured image by an image extracting unit; detecting bone, muscle, and fat zones from the extracted image and calculating proportions of bones, muscles, and fat on the basis of the detected zones by an image analyzing unit; and extracting health information corresponding to the calculated proportions of the bones, the muscles, and the fat by a health information extracting unit, and displaying the health information through a display unit.

Description

Method for analyzing health information and providing information based on photographed image, apparatus thereof and recording medium thereof

The present invention relates to a method for analyzing and providing information on a health state based on a photographed image, a device thereof, and a recording medium thereof, and more particularly, to analyze a state of health based on an image captured with a low level and low radiation, A health image analysis and information providing method based on a photographed image provided, a device thereof, and a recording medium thereof.

In the past, it was common to measure the ratio of fat and muscle to diagnose a health condition, and the related diagnostic techniques include a bioelectrical impedance diagnosis method and an ultrasound diagnosis method. The bioelectrical impedance diagnosis method is a method of estimating the ratio of fat and muscle as a resistance value, which is problematic in that the accuracy of diagnosis is inferior when a confusion element such as metal is attached to a user's body.

In addition, the ultrasonic diagnostic method is a method of imaging the ultrasonic wave is reflected back by propagating the ultrasonic waves inside the body, which is limited in the diagnosis site because the delivery rate of the ultrasonic waves in the organ where the air is present.

On the other hand, the percentage of fat and muscle as well as the percentage of bone in the diagnosis of health is an important diagnostic factor, the ratio of bone, fat, muscle can affect the onset of the disease and the quality of life of the patient. However, the bioelectrical impedance diagnosis method and the ultrasonic diagnosis method cannot measure the area or volume of the bones, and thus the health condition cannot be diagnosed by including the ratio of the bones as a diagnostic element.

Dual energy X-Ray Absorptiometry (DEXA) is a method for measuring bone, fat, and muscle, which is less correlated with central bone density and results for bone density, fat, and muscle mass throughout the body. The relationship between central BMD, peripheral muscles and fat could not be measured. In addition, the dual energy radiation absorption measurement method has to measure the bones, fats, muscles, respectively, it takes a long time to measure, there is a problem that the accuracy is low due to the small amount of radiation.

Therefore, there is a demand for a health condition analysis and information providing method of photographing bone, fat, and muscle at a time in a low level, low radiation environment, and diagnosing and providing a health condition through a ratio of bone, fat, and muscle.

The technical problem to be achieved by the present invention is to provide a health state analysis and information providing method for taking a picture of bone, muscle and fat at a time in a low level, low radiation environment, and diagnoses and provides a health condition through the ratio of bone, muscle and fat will be.

The technical problem to be achieved by the present invention is not limited to the technical problem mentioned above, and other technical problems not mentioned above may be clearly understood by those skilled in the art from the following description. There will be.

In order to achieve the above technical problem, in one embodiment of the present invention, the photographing unit photographs the user's body, generating at least one photographed image, and the image extractor extracts an image for a specific body part from the photographed image And, the image analysis unit detects the regions of bone, muscle and fat in the extracted image, respectively, based on each detected region, calculating the ratio of bone, muscle and fat, the health information extraction unit calculated bone, The present invention provides a method of analyzing health information and providing information based on a photographed image including extracting health information corresponding to a ratio of muscle and fat and displaying the same through a display unit.

In one embodiment of the present invention, the imaging unit may be any one of Computed Tomography (CT), Magnetic Resonance Image (MRI) and X-ray (X-Ray), the health information may include an evaluation score.

According to an embodiment of the present disclosure, the extracting of the image may include matching the reference image of the pre-stored specific body part with the specific reference point of the photographed image, and extracting the image based on the body outline displayed on the captured image. The method may include resizing the photographed image to match the outline of the body displayed on the image, and extracting an image of a region overlapping the reference image of the photographed image by the image extractor.

In one embodiment of the present invention, in the step of extracting an image for a specific body part, the reference image extraction unit receives the user's body information through the input unit, and extracts the reference image stored in correspondence with the user's body information It may further comprise the step.

In an embodiment of the present disclosure, in the step of extracting the reference image, the reference image extracting unit receives a selection of a specific body part through the input unit, and stores the reference image stored in correspondence with the selected specific body part and the user's body information. Can be extracted.

In one embodiment of the present invention, the reference image may define an uppermost end of a specific body part as an upper limit and a lower end as a lower limit, and may be an image of a quadrangular shape connecting an upper limit and a lower limit.

In one embodiment of the present invention, the step of calculating the ratio of bones, muscles and fats in the extracted image, the image analyzer detects each region by the attenuation value corresponding to the bones, muscles and fats in the extracted image each region Computing the size of the step and calculating the ratio of each area may include.

In an embodiment of the present disclosure, the calculating of the size of each region may include adjusting the brightness of the feature reference point of the extracted image to the first reference brightness and detecting the bone region with attenuation values corresponding to the bones. And calculating the size of the detected bone region, adjusting the brightness of the feature reference point of the extracted image to a second reference brightness, detecting the muscle region with an attenuation value corresponding to the muscle, and detecting the detected bone region. Calculating a size of the muscle region, adjusting the brightness of a specific reference point of the extracted image to a third reference brightness, detecting a fat region by an attenuation value corresponding to fat, and detecting the size of the muscle region. It may include the step of calculating.

In one embodiment of the present invention, the step of calculating the ratio, the image analysis unit further comprises the step of calculating the bone density of the bone, and extracting the health information and displaying through the display unit the health information extraction unit calculated bone The first health information stored in correspondence with the ratio of fat, muscle, and the like may be extracted, and the second health information stored in correspondence with the calculated bone density may be extracted and displayed through the display unit.

In one embodiment of the present invention, extracting the health information, and displaying through the display unit may be obtained by obtaining a reference value according to the body information through the bone, muscle and fat data of a plurality of other users, the reference value and the calculated bone, By comparing the ratio of muscle and fat, health information can be extracted.

One embodiment of the present invention provides a computer readable recording medium having recorded thereon a program, which executes the above-described method.

According to an embodiment of the present invention, a photographing unit which generates an image by photographing a body, an image extracting unit which extracts an image of a specific body part from the photographed image, and detects a bone, muscle and fat region from the extracted image, An image analyzer for calculating a ratio of bone, muscle and fat based on each detected region, a health information extracting unit for extracting health information corresponding to the calculated ratio of bone, muscle and fat, and extracted health information Provided is a health image analysis and information providing apparatus based on a photographed image, including a display unit for displaying.

According to an embodiment of the present invention, since the present invention can diagnose a state of health at a rate occupied by bones, muscles, and fats actually located in the body, the accuracy of diagnosis is higher than that of the prior art.

The effects of the present invention are not limited to the above-described effects, but should be understood to include all the effects deduced from the configuration of the invention described in the detailed description or claims of the present invention.

1 is a diagram illustrating an apparatus for analyzing health and providing information according to an embodiment of the present invention.

2 is a flowchart illustrating a method of analyzing health information and providing information according to an embodiment of the present invention.

3 is a flowchart illustrating a method of extracting an image of a specific body part in a method of analyzing health information and providing information according to an embodiment of the present invention.

Figure 4 is a flow chart illustrating a method of calculating the ratio of bone, muscle, fat in the health state analysis and information providing method according to an embodiment of the present invention.

5 is a diagram illustrating a process of extracting an image of a specific body part from a captured image according to an embodiment of the present invention.

6 is a diagram illustrating a process of calculating a ratio of bone, muscle, and fat in one captured image according to an embodiment of the present invention.

7 is a diagram illustrating a process of calculating a ratio of bone, muscle, and fat in a plurality of captured images according to an embodiment of the present invention.

Hereinafter, with reference to the accompanying drawings will be described the present invention. As those skilled in the art would realize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present invention. In the drawings, parts irrelevant to the description are omitted in order to clearly describe the present invention, and like reference numerals designate like parts throughout the specification.

Throughout the specification, when a part is said to be "connected (connected, contacted, coupled)" with another part, it is not only "directly connected" but also "indirectly connected" with another member in between. "Includes the case. In addition, when a part is said to "include" a certain component, this means that unless otherwise stated, it may further include other components rather than excluding the other components.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. As used herein, the terms "comprise" or "have" are intended to indicate that there is a feature, number, step, action, component, part, or combination thereof described on the specification, and one or more other features. It is to be understood that the present invention does not exclude the possibility of the presence or the addition of numbers, steps, operations, components, components, or a combination thereof.

In addition, the terms “… unit”, “… unit”, “module”, etc. described in the specification mean a unit that processes at least one function or operation, which may be implemented by hardware or software or a combination of hardware and software. have.

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

1 is a diagram showing a health state analysis and information providing apparatus 1 according to an embodiment of the present invention.

The state of health analysis and information providing apparatus 1 analyzes a state of health based on the photographed image and provides the state of health according thereto, including the photographing unit 10, the image extracting unit 20, and the image analyzing unit ( 30, the health information extractor 40 and the display unit 50 may be further included, and the input unit 60 and the reference image extractor 70 may be further included.

The photographing unit 10 is a component for photographing a user's body to generate a photographed image. The photographing unit 10 may be any one of a computed tomography (CT), a magnetic resonance image (MRI), and an X-ray (X-ray).

When the user's body is taken with computed tomography (MCT), magnetic resonance image (MRI) or x-rays (X-rays), bones, muscles, and fats inside the body are attenuated by X-rays (hereinafter, Brightness is displayed differently according to the attenuation value so that the areas where bone, muscle and fat are distributed can be easily distinguished. In this case, in the case of CT, 80mSv to 100mSv radiation may be irradiated to photograph the user's body. That is, the body of the user can be photographed by irradiating a low level radiation.

If CT radiates less than 80mSv of radiation to the user's body, bones, muscles and fats inside the body may not be clearly visible, and if radiation of more than 100mSv is radiated to the user's body, the cancer may develop This can be high.

In addition, the photographing unit 10 may photograph the user's body on one or three surfaces, and generate a photographed image for each surface. At this time, one side means the front of the body, three sides means the front, side and upper surface (or lower surface) of the body. When the photographing unit 10 photographs the user's body from one side, the state of the bone, muscle, and fat can be diagnosed in a relatively short time through the photographed image, but the user's body is photographed from the three sides of the bone, muscle, and the like. The accuracy of the diagnosis may be less accurate than the health of fats.

The image extractor 20 is a component that extracts a part of an image, in particular, an image of a specific body part, from the photographed image. Therefore, some images can be extracted.

In this case, the predetermined image extraction method may be a method of matching the predetermined reference point of the pre-stored reference image and the captured image with each other, resizing the captured image to match the body outline, and extracting only a portion overlapped with the image.

The image analyzer 30 is a component that calculates a ratio of bone, muscle, and fat. The image analyzer 30 receives an image extracted from the image extractor 20, and detects bone, muscle, and fat areas from the extracted image. It is possible to calculate the size of, and calculate the ratio of bone, muscle and fat through the calculated size.

At this time, the method of calculating the ratio is to calculate the size of each area by detecting each area by the attenuation value corresponding to bone, muscle and fat, and then the ratio of each area to the size of the total area compared to the size of each area Can be calculated. According to an embodiment of the present disclosure, the image analyzer 30 may detect an area while varying the brightness of the extracted image at each detection of each area.

For example, when detecting a bone area, the brightness of the specific reference point is adjusted to be the first reference brightness, and when detecting the muscle area, the second reference brightness is brighter than the first reference brightness. When the fat area is detected, it is possible to adjust the brightness of the specific reference point to be the third reference brightness, which is an intermediate brightness between the first reference brightness and the second reference brightness. That is, the second reference brightness may be the brightest, and the third reference brightness may be darker in order. As such, when the brightness of each region is adjusted to be different from each other, since the region to be detected appears more clearly, the accuracy of the analysis may be increased.

The health information extracting unit 40 is a component that extracts health information based on a ratio of bone, muscle, and fat, and stores a first diagnosis table in which different health information is matched according to the ratio of bone, muscle, and fat. It may be. The health information extracting unit 40 receives a ratio of bone, muscle, and fat from the image analyzing unit 30, extracts health information corresponding to the same from the first diagnosis table, and transmits the health information to the display unit 50. Can be displayed via In this case, the health information may include an evaluation score.

On the other hand, the image analysis unit 30 may transmit the extracted image with the ratio of bone, muscle and fat to the health information extraction unit 40, the health information extraction unit 40 is extracted with the health information The image may be sent to the display unit 50 for display.

According to an embodiment of the present invention, the image analyzer 30 may receive an image extracted from the image extractor 20 and generate a 3D image, and the volume of bone, fat, and muscle based on the 3D image. Can be calculated. In addition, the image analyzer 30 may transmit the generated 3D image along with the ratio of bone, muscle, and fat to the health information extractor 40.

According to another exemplary embodiment of the present invention, the health information extracting unit 40 stores the calculated ratios of bones, muscles, and fats together with the user's body information (age, gender, etc.) input through the input unit 60, and stores the data. The base may be generated and a reference value according to each body information may be obtained.

In addition, the health information extractor 40 may store a second diagnosis table in which different health information is matched based on a reference value and a newly calculated ratio of bone, muscle, and fat.

In other words, the health information extractor 40 receives the ratio of body information, bone, muscle, and fat from the image analyzer 30, extracts a reference value of the bone, muscle, and fat ratio according to the body information, and then compares the reference value with the reference value. Comparing the ratio of bone, muscle and fat received from the image analysis unit 30, calculates the ratio difference, and extracts the health information corresponding to it from the second diagnosis table according to the ratio difference and displayed on the display unit 50 can do.

In addition, the health information extraction unit 40 may store the ratio of bone, muscle, and fat together with the user identification information, and extracts a trend of bone, muscle, and fat changes of a specific user at a later request of the user. 50 can be displayed. This allows the user to easily grasp the changes in bone, muscle and fat over time. In this way, by providing the health information and the extracted image including the evaluation score to the user visually, the user can intuitively grasp their health status.

That is, the present invention can determine the volume of each region through the 3D image of bone, muscle, and fat, and obtain a standardized database of body composition of the body.

In addition, according to an embodiment of the present invention, the image analyzer 30 may calculate bone density of bone based on the detected bone region. At this time, the image analysis unit 30 may calculate a numerical value of bone density through three-dimensional analysis of the area of the cortical bone and the medulla. In addition, the health information extracting unit 40 may store a second diagnosis table in which different health information is matched according to bone density, and extract the first health information stored corresponding to the ratio of bone, muscle, and fat. In addition, the second health information stored corresponding to the bone density of the bone may be extracted and displayed on the display unit 50. For this reason, the present invention can accurately analyze the characteristics and current state of the bone, it is possible to predict the fracture probability and to implement prevention. That is, the present invention can contribute to the diagnosis and treatment of fractures.

The display unit 50 is a component that visually provides health information and extracted images to a user, and includes a liquid crystal display (LCD), organic light emitting diodes (OLEDs), and active organic light emitting diodes. (AMOLED, Active matrix organic light emitting diodes) and the like.

The input unit 60 is a component that receives at least one of body information or a specific body part to be measured from a user and transmits it to the reference image extracting unit 70. A touch panel and a button key It may also be formed of a jog key, a wheel key, or the like. In this case, the body information may be any one or more of the user's age, gender, height or weight, and the specific body part may be an abdomen, a lower body, or an upper body.

The reference image extractor 70 is a component that extracts a reference image corresponding to the body information or a specific body part received from the user, and includes a storage. In this case, the storage unit may store different reference images matched according to body information or specific body parts. That is, the reference image extractor 70 may receive a command for selecting body information or a specific body part from the input unit 60, extract a reference image corresponding thereto, and transmit the extracted reference image to the image analyzer 30.

In the method for analyzing health state and providing health state information of the present invention as shown in FIG. 2, the method may include generating a captured image by capturing a user's body (S100) and extracting an image of a specific body part from the captured image ( S200), calculating a ratio of bones, muscles and fats in the extracted image (S300), and extracting and displaying health state information on the calculated ratio (S500), in one embodiment of the present invention. Accordingly, after calculating the ratio (S300), the method may further include calculating the bone density of the bone (S400).

The generating of the photographed image (S100) is a step in which the photographing unit 10 photographs the user's body to generate a photographed image. The photographing unit 10 photographs the user's body on one or three surfaces to generate a photographed image for each surface. It may be. In this case, the photographing unit 10 may transmit the generated image to the image extracting unit 20.

When the generating of the photographed image (S100) is completed, the extracting of an image of a specific body part from the photographed image (S200) is performed. Extracting an image for a specific body part (S200) is a step in which the image extractor 20 extracts an image for a specific body part to be examined from the captured image, which will be described in detail with reference to FIG. 3. .

Extracting an image of a specific body part from the captured image (S200) may include matching the reference image of the pre-stored specific body part with a specific reference point of the captured image (S201), and the image extractor. (20) resizing the captured image such that the body outline of the captured image matches the body outline of the reference image (S202), and the image extractor 20 extracts an image of a region overlapping the reference image of the captured image. Step S203 is included.

That is, the matching of the specific reference point (S201) is a step of overlapping the photographed image and the reference image, and the two images overlap with respect to the specific reference point. In this case, the specific reference point may be a specific bone or organ. Since the specific fat or muscle is formed according to the health state of the user, the formation position is preferably a relatively constant bone or organ. In addition, since the present invention is superimposed around a specific reference point, the accuracy of image extraction can be improved. The image extractor 20 may recognize a specific reference point in the form of a bone.

The resizing step (S202) is a step of increasing or decreasing the size of the photographed image so that the reference image and the body outline match. When extracting an image of a region that is directly overlapped without resizing, a part having a large body is small and a part having a small body has a large extraction part. The extraction range of the two images should be matched by reducing or increasing the size of the captured image to match the outline of the body indicated in the image.

Extracting an image of the overlapping area (S203) is extracting only an image of a specific body part from the captured image.

Through the above steps, the present invention may extract only a specific body region from a captured image including a region other than a region to be examined (that is, a region other than a specific body region).

On the other hand, the reference image is defined as the upper limit of the upper end of the specific body part and the lower end as the lower limit, it is an image of a rectangular form connecting the upper limit and the lower limit. At this time, it is preferable that the line connecting the upper limit and the lower limit is located outside the outer part of the body so that it is not formed across the body part. For example, if a particular body part is the upper thigh, the uppermost end of the femoral ball head may be defined as the upper limit and the lowermost end of the small electron may be defined.

As such, since the reference image is formed in the same shape as the photographed image, the image extractor 20 can easily resize the photographed image according to the reference image, and extract the overlapping area, compared to the complicated reference image. It is easy to extract an image in a relatively short time.

5 is a diagram illustrating a process of extracting an image of a specific body part from a captured image.

FIG. 5A is a diagram illustrating a process of matching the photographed image 101 with the reference image 111. In this case, the image shown on the right is the captured image 101, and the image shown on the left is the reference image 111. Points marked with an asterisk indicate

specific reference points

102 and 112 in each image, and the

specific reference points

102 and 112 in this figure are hip joints. That is, the image extractor 20 matches the hip joint of the captured image 101 with the reference image 111.

FIG. 5B is a diagram illustrating a process of resizing the captured image 101 and extracting an image of a region overlapping with the reference image 111. The image extractor 20 resizes the captured image so that the body outline of the reference image 111 and the body outline of the captured image 101 match each other, and then one image of the captured image 101 overlaps the reference image 111. The area can be extracted.

Although not shown in FIG. 2, before the step S200, the reference image extractor 70 may extract the reference image based on the information input through the input unit 60 and transmit the extracted reference image to the image extractor 20. . In this case, the information input through the input unit 60 may be a user's body information or a specific body part, and the reference image extractor 70 extracts a reference image stored in correspondence with the user's body information or a specific body part to obtain an image. It can transmit to the extraction part 20. In this case, the body information of the user and a specific body part may be input together through the input unit 60.

When the step (S200) of extracting an image of a specific body part is completed, the step (S300) of calculating the ratio of bone, muscle, and fat by the image analyzer 30 is performed. Calculating the ratio (S300) is a step for determining the health state of a specific body part by using the ratio of bone, muscle and fat in the user's body, which will be described in detail with reference to FIG. 4.

4 is a flowchart illustrating a method of calculating a ratio of bone, muscle, and fat in a health state analysis and health state information providing method according to an exemplary embodiment of the present invention. Computing the ratio of bone, muscle and fat in the extracted image (S300) is the step of calculating the size of the bone area (S301), calculating the size of the muscle area (S302), calculating the size of the fat area A step S304 of calculating the ratio of each area among the step S303 and the entire area (bone area + fat area + muscle area) is included.

At this time, the step of calculating the size of the bone area in the extracted image (S301) is to find a region corresponding to the attenuation value corresponding to the bone 200 to 900 HU (Hounsfield Unit) as a brightness value and divided by a closed curve and the size of the area It's a step.

The step of calculating the size of the muscle region (S302) is a step of finding a region corresponding to -30 to -190 HU (Hounsfield Unit), which is an attenuation value corresponding to fat, by dividing it into a lung curve and calculating the size of the region.

Calculating the size of the fat area (S303) is a step of finding the area corresponding to the attenuation value 30 to 70 HU (Hounsfield Unit) corresponding to the muscle as the brightness value and dividing it into the closed curve to obtain the size of the area.

The step (S304) of calculating the ratio of each area out of the total areas is that the size of each area of bone, muscle and fat calculated in steps S301 to S303 occupies the total area size (bone area size + fat area size + muscle area size). Calculating the ratio.

In this case, when one photographed image of one surface (front of the body) is photographed by the photographing unit 10, the size may be an area, and the three surfaces (front, side, and upper surface of the body (or lower surface) of the photographing unit 10 may be taken. When a plurality of photographed images for)) are photographed, the size may be volume. This will be described with reference to FIGS. 6 and 7.

6 is a diagram illustrating a process of calculating a ratio of bone, muscle, and fat in one captured image. The image analyzer 30 finds a bone region corresponding to attenuation values of 200 to 900 Hounsfield Units (HU) in the extracted image as brightness values, and divides them into closed curves, and attenuation values of -30 to -190 Hounsfield Units (HU). The fat area corresponding to the lightness value is divided into the lung curves, and the muscle area corresponding to the attenuation value of 30 to 70 HU (Hounsfield Unit) can be divided into the lung curves. In this manner, after dividing each region into closed curves, the area of each region is calculated and the ratio of each region is calculated based on the area of the entire region (area of bone region + area of fat region + area of muscle region).

According to the exemplary embodiment of the present invention, the image analyzer 30 may analyze only the designated analysis target region. For example, only the region surrounding the bone may be designated as the analysis target region in advance. In this case, the image analyzer 30 extracts the region of the bone and then, except for the region where the bone does not exist, the muscle And regions of fat can be detected. In more detail with reference to FIG. 5B, a region around the femur may be designated as the analysis target region 113 except for the genital region in which bone is not present as shown in FIG. 5B.

7 is a diagram illustrating a process of calculating a ratio of bone, muscle, and fat in a plurality of captured images. In this case, (a) of FIG. 7 is an image of the user's body taken from the top surface, (b) is an image of the user's body taken from the front, and (C) is an image of the user's body taken from the side.

As shown in FIG. 7, when the examination is to be performed on the four

lumbar vertebrae

114, 115, 116, and 117, images taken from the front and side surfaces include four

lumbar vertebrae

114, 115, 116, and 117 in one shot. However, in the case of an image taken from the upper surface, since the second lumbar vertebrae 115 to the fourth lumbar vertebrae 117 are covered by the first lumbar spine 114, only one lumbar spine may be included in one image, so that each lumbar spine is separately. You need to get a captured image. FIG. 7 shows images of the user's body from the front, side, and top, and is extracted from the first lumbar spine 114 to the fourth lumbar spine 117, and 200 to 900 HU (attenuation values corresponding to bones in all extracted images). Figure 1 shows the bone area of the Hounsfield Unit, divided by a closed curve with brightness values.

In this way, each area of the extracted image is displayed as a closed curve, and then the bone volume is calculated based on the displayed area. Afterwards, the muscle and fat are also found with corresponding brightness values and divided into closed curves, and the volume is calculated based on the displayed area. Then, the ratio of each area is calculated based on the volume of the entire area (volume of bone area + volume of fat area + volume of muscle area).

On the other hand, according to an embodiment of the present invention, the image analyzer 30 may increase the accuracy of the extraction by adjusting the brightness of a specific reference point for each extraction of each region.

When the step (S300) of calculating the ratio of bone, muscle and fat is completed, the step (S400) of calculating the bone density of the bone is performed. Computing the bone density of the bone (S400) is to calculate the bone density on the basis of the size and density of the bone located in the bone size and bone in the image analysis unit 30 is detected. At this time, the calculated bone density is transmitted to the health information extraction unit 40.

When the step of calculating the bone density of bone (S400) is completed, the step of extracting and displaying health state information (S500) is performed.

In the step S500 of extracting and displaying health state information, the health information extracting unit 40 receives a ratio of bone, muscle and fat and bone density from the image analyzer 30, and receives the ratio of the received bone, muscle and fat. Extracts first health state information from the first diagnosis table, extracts second health state information according to the received bone density from the second diagnosis table, and displays the extracted state information on the display unit 50. In this case, the health state information may include an evaluation score.

Embodiments of the present invention include a program for performing various computer-implemented operations and a computer readable recording medium recording the same. The computer readable recording medium may include program instructions, data files, data structures, etc. alone or in combination.

Recording media may be those specially designed and constructed for the purposes of the present invention, or they may be of the kind well-known and available to those having skill in the computer software arts. Examples of computer readable recording media include magnetic media such as hard disks, floppy disks and magnetic tape, optical recording media such as CD-ROM, DVD, USB drives, magnetic-optical media such as floppy disks, and ROM, RAM, Hardware devices specifically configured to store and execute program instructions, such as flash memory, are included. The recording medium may be a transmission medium such as an optical or metal wire, a waveguide, or the like including a carrier wave for transmitting a signal specifying a program command, a data structure, or the like.

Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like.

By using the health state analysis and health state information providing method of the present invention, on the basis of the image taken in a low level, low radiation environment, it is possible to diagnose the state of health in the proportion of bone, muscle and fat that is actually distributed in the body As a result, the amount of radiation coating is smaller than that of the prior art, and the accuracy of diagnosis is higher.

The foregoing description of the present invention is intended for illustration, and it will be understood by those skilled in the art that the present invention may be easily modified in other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are exemplary in all respects and not restrictive. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

The scope of the present invention is represented by the following claims, and it should be construed that all changes or modifications derived from the meaning and scope of the claims and their equivalents are included in the scope of the present invention.

Claims

In the health state analysis and information providing method performed by a health state analysis and information providing apparatus including a photographing unit, an image extracting unit, a reference image extracting unit, an image analyzing unit, a health information extracting unit, a display unit and an input unit,

Photographing the body of the user to generate one or more photographed images;

Extracting an image of a specific body part from the captured image by the image extractor;

Detecting regions of bone, muscle, and fat in the extracted image, and calculating ratios of bone, muscle, and fat based on the detected regions;

And extracting the health information corresponding to the ratio of the calculated bone, muscle, and fat from the health information extracting unit, and displaying the health information through the display unit.
The method of claim 1,

The photographing unit may be any one of a CT (Computed Tomography), a Magnetic Resonance Image (MRI), and an X-ray (X-Ray).

The health information, characterized in that it comprises a score, a health image analysis and information providing method based on the photographed image.
The method of claim 1,

Extracting the image,

Matching the reference image of the pre-stored specific body part with the specific reference point of the photographed image by the image extracting unit;

The image extracting unit matching the reference image with a specific reference point for a specific body part previously stored in the photographed image;

Resizing the photographed image so that the body outline displayed in the photographed image coincides with the body outline displayed in the reference image;

And the image extracting unit extracting an image of a region overlapping with the reference image of the photographed image.
The method of claim 3,

Extracting an image of the specific body part;

The reference image extracting unit receives the user's body information through the input unit, and further comprising the step of extracting a reference image stored in correspondence with the user's body information, characterized in that the captured image based health state analysis And how we provide information.
The method of claim 4, wherein

In the step of extracting the reference image,

The reference image extracting unit receives a selection of a specific body part through the input unit, and extracts a reference image stored in correspondence with the selected specific body part and the user's body information; How to Provide Information.
The method of claim 3,

The reference image is,

The uppermost end of a specific body part is defined as an upper limit and the lowermost end is defined as a lower limit, wherein the upper limit and the lower limit are characterized in that the image of a rectangular shape connecting the lower limit, the photographed image-based health state analysis and information providing method.
The method of claim 3,

Calculating the ratio of bone, muscle and fat in the extracted image,

Calculating the size of each region by detecting each region by an attenuation value corresponding to bone, muscle, and fat in the extracted image unit;

Comprising the step of calculating the ratio of each area, based on the photographed image health state analysis and information providing method.
The method of claim 7, wherein

Calculating the size of each area,

Adjusting the brightness of the feature reference point of the extracted image to be the first reference brightness, detecting the bone region with an attenuation value corresponding to the bone, and calculating the size of the detected bone region;

Adjusting the brightness of the feature reference point of the extracted image to a second reference brightness, detecting a muscle region with an attenuation value corresponding to the muscle, and calculating a size of the detected muscle region;

And adjusting the brightness of the specific reference point of the extracted image to a third reference brightness, detecting the fat region by the attenuation value corresponding to the fat, and calculating the size of the detected muscle region. Characterized in that, the method for analyzing and providing health information based on the photographed image.
The method of claim 1,

In calculating the ratio,

The image analysis unit further comprises the step of calculating the bone density of bone,

Extracting and displaying the health information through a display unit includes:

The health information extracting unit extracts the first health information stored in correspondence with the calculated ratio of bone, fat and muscle, extracts the second health information stored in correspondence with the calculated bone density, and displays the same through the display unit. Characterized in that, the health image analysis and information providing method based on the photographed image.
The method of claim 3,

Extracting the health information and displaying the health information through a display unit includes:

Obtained reference value according to the body information through the bone, muscle and fat ratio data of a plurality of other users, and comparing the reference value and the calculated ratio of bone, muscle and fat, extracting the health information, characterized in that the extracted image Based health status analysis and information provision methods.
A computer-readable recording medium having a program recorded thereon that executes the method according to any one of claims 1 to 10.
A photographing unit which photographs a body to generate an image,

An image extractor which extracts an image of a specific body part from the captured image;

An image analyzer which detects bone, muscle and fat areas in the extracted image and calculates a ratio of bone, muscle and fat based on each detected area;

Health information extraction unit for extracting health information corresponding to the ratio of the calculated bone, muscle and fat,

And a display unit for displaying the extracted health information.