SMAS evaluation method, computer, and program

Abstract

According to the present invention, the condition of the skin is evaluated on the basis of SMAS. A method according to one aspect of the present invention acquires the water content of SMAS, which is a facial fascia, and evaluates the skin condition of the face, on the basis of the water content of the SMAS.

Description

[Technical field]

[0001] The present invention relates to a SMAS evaluation method, a computer, and a program. [Background technology]

[0002] Conventionally, a type of connective tissue that constitutes the human body is known as "fascia." The facial fascia is called the Superficial Musculo-Aponeurotic System (SMAS). In recent years, it has become clear that the SMAS can affect the condition of the skin (Patent Documents 1 to 3). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2019-58685 A [Patent Document 2] Patent No. 6297634 [Patent Document 3] Special Publication No. 2018-521804 Summary of the Invention [Problem to be solved by the invention]

[0004] However, there are still many aspects of SMAS that remain unclear, and it is hoped that it will be possible to utilize SMAS to evaluate skin condition.

[0005] Therefore, an object of the present invention is to evaluate the skin condition based on SMAS. [Means for solving the problem]

[0006] A method according to one embodiment of the present invention obtains the moisture content of the SMAS, which is the facial fascia, and evaluates the condition of the facial skin based on the moisture content of the SMAS. Effect of the Invention

[0007] According to the present invention, the condition of the skin can be evaluated based on SMAS. [Brief description of the drawings]

[0008] [Figure 1] FIG. 1 shows an example of the morphology of the SMAS visualized by MRI. [Diagram 2] FIG. 1 is a diagram showing an example of the relationship between SMAS morphology and age. [Diagram 3] FIG. 1 shows an example of the water content of the SMAS visualized by MRI. [Figure 4] FIG. 1 is a diagram showing an example of the relationship between the moisture content of SMAS and age. [Diagram 5] FIG. 1 shows an example of the morphology and water content of CSF (Cerebrospinal Fluid) visualized by MRI. [Figure 6] FIG. 1 is a graph showing an example of the relationship between the water content of CSF and age. [Figure 7] FIG. 1 shows an example of the morphology and water content of the cerebellum visualized by MRI. [Figure 8] FIG. 1 is a diagram showing an example of the relationship between the water content of the cerebellum and age. [Figure 9] FIG. 13 shows a comparison of correction of SMAS water content by CSF water content and correction by cerebellum water content. [Figure 10] FIG. 1 is a diagram showing an example of the relationship between the corrected moisture content of SMAS and the sagging score in marionette lines. [Figure 11] FIG. 1 is a diagram showing an example of the relationship between the corrected moisture content of SMAS and the sagging score in nasolabial folds. [Figure 12] FIG. 13 is a diagram showing an example of the relationship between the corrected moisture content of the SMAS and the sagging score in the smile line. [Figure 13] FIG. 13 is a diagram showing an example of the relationship between the corrected moisture content of the SMAS and the sagging score at the jawline. [Figure 14] FIG. 1 is a diagram showing an example of the relationship between the corrected moisture content of the SMAS and the sagging score in the under-eye area. [Figure 15] FIG. 1 is a diagram showing an example of the relationship between the corrected moisture content of the SMAS and the amount of gravitational swelling. [Figure 16] FIG. 1 is a diagram showing an example of the relationship between the corrected moisture content of the SMAS and the amount of gravitational depression. [Figure 17] FIG. 13 is a diagram showing an example of the relationship between the corrected moisture amount of SMAS and the amount of intra-facial movement sagging. [Figure 18] FIG. 1 is a diagram showing an example of the relationship between the corrected moisture amount of SMAS and the amount of sagging in the front and rear of the cheeks. [Figure 19] FIG. 13 is a diagram showing an example of the relationship between the corrected moisture content of SMAS and the sagging skin coefficient. [Figure 20] FIG. 1 is a diagram showing an example of the relationship between the corrected moisture content of SMAS and the skin viscoelasticity parameters R0 to R6. [Figure 21] FIG. 13 is a diagram showing an example of the relationship between the corrected moisture content of SMAS and the skin viscoelasticity parameters R7 to R9, Ue, Uv, and Ur. [Figure 22] FIG. 1 is a diagram relating to the definition of parameters of skin viscoelasticity. [Figure 23] This is an example of the results of a t-test. [Figure 24] This is an example of the results of a t-test. [Diagram 25] This is an example of the moisture content, age, and sagging index of a subject's SMAS. [Figure 26] FIG. 13 is a diagram for explaining prediction of improvement in sagging after treatment of SMAS. [Figure 27] FIG. 1 is a diagram for explaining estimation of the moisture content of SMAS. [Figure 28] 1 is an overall configuration diagram according to an embodiment of the present invention; [Figure 29] 1 is a functional block diagram of a skin evaluation device according to an embodiment of the present invention. [Diagram 30] 4 is a flowchart of a skin condition evaluation process according to an embodiment of the present invention. [Diagram 31] 1 is a flowchart of a process for estimating the moisture content of the SMAS according to one embodiment of the present invention. [Diagram 32]FIG. 2 is a diagram showing an example of the relationship between age and the value of the moisture content of SMAS corrected by the moisture content of CSF in one embodiment of the present invention. [Diagram 33] FIG. 1 is a diagram showing an example of the relationship between the moisture content of SMAS corrected by the moisture content of CSF and age group in one embodiment of the present invention. [Diagram 34] FIG. 11 is a diagram for explaining a comparison of each model according to an embodiment of the present invention. [Diagram 35] FIG. 2 is a diagram for explaining each model according to an embodiment of the present invention. [Diagram 36] FIG. 2 is a diagram for explaining each model according to an embodiment of the present invention. [Figure 37] 1 is a flowchart of an evaluation process according to an embodiment of the present invention. [Figure 38] 1 is a block diagram showing an example of a hardware configuration of a skin evaluation device according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

[0010] <Terminology explanation> "Fascia" is a type of tissue that constitutes the human body. Currently, there are two possible definitions of fascia that are being debated: "In addition to myofascia, it is a concept that includes connective tissues of areas unrelated to skeletal muscles, such as tendons, ligaments, connective tissues that bind nerve fibers, fat, pleura, pericardium, and other membranes that encase internal organs, and is organized according to its fiber arrangement and density" and "It is a sheath, sheet, or collection of connective tissue that can be dissected, large enough to be visible to the naked eye. Fascia also includes the structures between the skin and muscles (subcutaneous tissue), around the muscles, and those related to connecting peripheral nerves and blood vessels."

[0011] In addition, the Japan Society of Plastic and Reconstructive Surgery defines "fascia" as a fibrous three-dimensional network tissue that covers, connects, and is responsible for information transmission of organs throughout the body, which smooths, supports, protects, and maintains the position of organs. As a medical term, "fascia" is defined as a "visible fibrous structure" with network functions. Fascia includes three types: the system "fascia system", the organ (structure) of macroanatomy "a fascia", and the fiber of microanatomy "fibrils". · "SMAS (Superficial Musculo-Aponeurotic System)" refers to the fascia of the face. · "The water content of SMAS" refers to the amount of water contained in SMAS. In the present invention, based on the water content of SMAS, the state of facial skin can be evaluated. In one embodiment of the present invention, the water content of SMAS can be estimated from an index representing facial sagging (hereinafter also referred to as the sagging index). In one embodiment of the present invention, the water content of SMAS can be calculated from an image obtained by MRI (Magnetic Resonance Imaging).

[0012] <<The water content of SMAS>> Hereinafter, with reference to FIGS. 1 to 4, the relationship between SMAS and age will be described. Specifically, with reference to FIGS. 1 to 2, it will be described that it has been found that the area of the SMAS region does not depend on age, and with reference to FIGS. 3 to 4, it will be described that it has been found that the water content of SMAS depends on age.

[0013] FIG. 1 is a diagram showing an example of the morphology of the SMAS visualized by MRI. The two images shown in FIG. 1 are T2W images showing the morphology obtained by MRI. The upper side of FIG. 1 is an image showing a plane (transverse plane, horizontal plane) perpendicular to the parietal-pharyngeal axis of a subject (25 years old) at the position of the cheek. The area indicated by arrow A (black area) is the SMAS area. The lower side of FIG. 1 is an image showing a plane (transverse plane, horizontal plane) perpendicular to the parietal-pharyngeal axis of a subject (62 years old) at the position of the cheek. The area indicated by arrow A (black area) is the SMAS area.

[0014] FIG. 2 is a diagram showing an example of the relationship between SMAS morphology and age. FIG. 2 shows the results of an experiment conducted on multiple subjects using the method of FIG. 1. Specifically, the horizontal axis indicates the age of the subjects, and the vertical axis indicates the area of ​​the SMAS region (square millimeters). As shown in FIG. 2, it can be seen that the area of ​​the SMAS region does not show a tendency to decrease or increase significantly with age. In other words, it can be said that the difference in SMAS morphology between subjects is predominantly due to individual differences, not due to age.

[0015] FIG. 3 is a diagram showing an example of the water content of the SMAS visualized by MRI. The two Water: IDEAL IQ images shown in FIG. 3 are images obtained by MRI, which show water and fat separately. The upper side of FIG. 3 is an image showing a plane (transverse plane, horizontal plane) perpendicular to the parietal-pharyngeal axis of the subject (the 25-year-old subject in FIG. 1) at the position of the cheek. The area indicated by the arrow A is the area of ​​the SMAS. The lower side of FIG. 3 is an image showing a plane (transverse plane, horizontal plane) perpendicular to the parietal-pharyngeal axis of the subject (the 62-year-old subject in FIG. 1) at the position of the cheek. The area indicated by the arrow A is the area of ​​the SMAS. The area of ​​the SMAS in the image of FIG. 3 was identified based on the area of ​​the SMAS in the image of FIG. 1 (i.e., the black area in FIG. 1).

[0016] Figure 4 is a diagram showing an example of the relationship between the water content of the SMAS and age. Figure 4 shows the results of experiments conducted on a plurality of subjects using the method of Figure 3. Specifically, the horizontal axis represents the age of the subjects, and the vertical axis represents the average intensity (arbitrary unit) of the MRI signal (Water: IDEAL IQ) in the region of the SMAS. As shown in Figure 4, it can be seen that the average intensity of the MRI signal in the region of the SMAS changes depending on age. Note that |R| = 0.70 (R is the Pearson correlation coefficient).

[0017] <<Correction of the water content of the SMAS>> Here, the correction of the water content of the SMAS (that is, the average intensity of the MRI signal (Water: IDEAL IQ) in the region of the SMAS) will be explained. The MRI signal (Water: IDEAL IQ) itself in the region of the SMAS may be affected by various factors such as the body weight of the subject, the measurement environment, and the state of the MRI apparatus. Therefore, there is no guarantee that the water content of the SMAS (that is, the average intensity of the MRI signal (Water: IDEAL IQ) in the region of the SMAS) between different subjects can be directly compared. From these facts, it is desirable to correct the water content of the SMAS by taking the ratio with the water content of the vicinity of the SMAS that does not depend on age. In Figures 5 to 9, methods of correcting the water content of the SMAS by the water content of the CSF and methods of correcting the water content of the SMAS by the water content of the cerebellum are given as examples, but it does not deny using the average intensity of the MRI signal (Water: IDEAL IQ) in the region of the SMAS without correction as the water content of the SMAS.

[0018] Hereinafter, with reference to Figures 5 to 9, the correction of the water content of the SMAS will be explained in detail. Specifically, with reference to Figures 5 to 6, the average intensity of the MRI signal in the region of the CSF (Cerebrospinal Fluid) will be explained, and with reference to Figures 7 to 8, the average intensity of the MRI signal in the region of the cerebellum will be explained.

[0019] Fig. 5 shows an example of the morphology and water content of CSF visualized by MRI. The upper part of Fig. 5 is a T2W image showing the morphology of CSF acquired by MRI. The area indicated by the arrow is the CSF area. The lower part of Fig. 5 is a Water: IDEAL IQ image showing the separation of water and fat in CSF acquired by MRI. The area indicated by the arrow is the CSF area.

[0020] FIG. 6 is a diagram showing an example of the relationship between the water content of CSF and age. FIG. 6 shows the results of calculating the water content of CSF for multiple subjects. Specifically, the horizontal axis indicates the age of the subjects, and the vertical axis indicates the average intensity (arbitrary unit) of the MRI signal in the CSF region. As shown in FIG. 6, the average intensity of the MRI signal in the CSF region does not change depending on age.

[0021] Fig. 7 shows an example of the morphology and water content of the cerebellum visualized by MRI. The upper part of Fig. 7 is a T2W image showing the morphology of the cerebellum acquired by MRI. The area surrounded by the dashed line is the cerebellum. The lower part of Fig. 7 is a Water: IDEAL IQ image showing the separated water and fat of the cerebellum acquired by MRI. The area surrounded by the dashed line is the cerebellum.

[0022] FIG. 8 is a diagram showing an example of the relationship between the water content of the cerebellum and age. FIG. 8 shows the results of calculating the water content of the cerebellum of multiple subjects. Specifically, the horizontal axis indicates the age of the subject, and the vertical axis indicates the average intensity (arbitrary units) of the MRI signal in the cerebellar region. As shown in FIG. 8, the average intensity of the MRI signal in the cerebellar region hardly changes depending on age.

[0023] FIG. 9 shows a comparison of the correction of the water content of the SMAS by the water content of the CSF and by the water content of the cerebellum.

[0024] The left side of Fig. 9 shows an example of the relationship between the value obtained by correcting the water content of the SMAS with the water content of the CSF and age. Specifically, the horizontal axis represents the age of the subject. The vertical axis represents the value (SMAS / CSF) obtained by dividing the average intensity of the MRI signal in the SMAS region by the average intensity of the MRI signal in the CSF region. Note that |R| = 0.70 (R is the Pearson correlation coefficient).

[0025] The right side of Fig. 9 shows an example of the relationship between the value obtained by correcting the water content of the SMAS with the water content of the cerebellum and age. Specifically, the horizontal axis represents the age of the subject. The vertical axis represents the value (SMAS / cerebellum) obtained by dividing the average intensity of the MRI signal in the SMAS region by the average intensity of the MRI signal in the cerebellum region. Note that |R| = 0.68 (R is the Pearson correlation coefficient).

[0026] The cerebellum is a heterogeneous region containing white and gray parts in the image obtained by MRI. On the other hand, the CSF exhibits a uniform appearance within the region in the image obtained by MRI. Therefore, it can be said that SMAS / CSF (the value obtained by dividing the average intensity of the MRI signal in the SMAS region by the average intensity of the MRI signal in the CSF region) is more preferable as an index for measuring the quality of the SMAS that depends on age. However, it can also be seen that there is no significant difference even if the cerebellum is used for correction from the correlation coefficient with age.

[0027] <<Relationship between the water content of the SMAS and the sagging index>> Hereinafter, as will be described with reference to Figs. 10 to 22, it has been found that the water content of the SMAS correlates with an index representing facial sagging. The water content of the SMAS is preferably the value obtained by correcting the water content of the SMAS with the water content of the CSF (corrected water content of the SMAS), but the value obtained by correcting the water content of the SMAS with the water content of the cerebellum or the average intensity of the MRI signal (Water: IDEAL IQ) in the SMAS region may also be used.

[0028] FIG. 10 is a diagram showing an example of the relationship between the corrected moisture content of SMAS and the sagging score in marionette lines. Specifically, the horizontal axis indicates SMAS / CSF (the average MRI signal intensity in the SMAS region divided by the average MRI signal intensity in the CSF region). The vertical axis indicates the sagging score in marionette lines (the larger the value, the longer and deeper the marionette lines). Marionette lines are depressions that extend from the corners of the mouth to the outside of the facial contour, and are a facial feature that gives an aged impression as they extend. Note that |R|=0.72 (R is the Pearson correlation coefficient).

[0029] FIG. 11 is a diagram showing an example of the relationship between the corrected moisture content of SMAS and the sagging score in the nasolabial folds. Specifically, the horizontal axis indicates SMAS / CSF (the average intensity of the MRI signal in the SMAS region divided by the average intensity of the MRI signal in the CSF region). The vertical axis indicates the sagging score in the nasolabial folds (the larger the value, the longer and deeper the nasolabial folds). The nasolabial folds are depressions that extend from the cheeks near the ala of the nose toward the cheeks near the corners of the mouth, and are a facial feature that gives an aged impression as they extend. Note that |R|=0.66 (R is the Pearson correlation coefficient).

[0030] FIG. 12 is a diagram showing an example of the relationship between the corrected moisture content of the SMAS and the sagging score in the smile line. Specifically, the horizontal axis indicates SMAS / CSF (the average MRI signal intensity in the SMAS region divided by the average MRI signal intensity in the CSF region). The vertical axis indicates the sagging score in the smile line (note that the larger the value, the longer and deeper the smile line). The sagging score in the smile line is the average of the sagging scores in the marionette lines and the sagging scores in the nasolabial folds. Note that |R|=0.73 (R is the Pearson correlation coefficient).

[0031] FIG. 13 is a diagram showing an example of the relationship between the corrected moisture content of SMAS and the jaw line sagging score. Specifically, the horizontal axis indicates SMAS / CSF (the average MRI signal intensity in the SMAS region divided by the average MRI signal intensity in the CSF region). The vertical axis indicates the jaw line sagging score (note that the larger the value, the more ambiguous the jaw line). The jaw line is the line that forms the outline of the lower jaw, and is the boundary between the cheek and the neck. Note that |R|=0.60 (R is the Pearson correlation coefficient).

[0032] FIG. 14 is a diagram showing an example of the relationship between the corrected moisture content of SMAS and the sagging score in the lower eye area. Specifically, the horizontal axis indicates SMAS / CSF (the average MRI signal intensity in the SMAS area divided by the average MRI signal intensity in the CSF area). The vertical axis indicates the sagging score in the lower eye area (note that the larger the value, the more bulging the lower eye area is). The lower eye area refers to the area from the lower eyelid including the tear bag to the top of the cheek. Note that |R|=0.64 (R is the Pearson correlation coefficient).

[0033] FIG. 15 is a diagram showing an example of the relationship between the corrected moisture content of SMAS and the amount of gravitational swelling. Specifically, the horizontal axis indicates SMAS / CSF (the average MRI signal intensity in the SMAS region divided by the average MRI signal intensity in the CSF region). The vertical axis indicates the amount of gravitational swelling. The amount of gravitational swelling is the difference between the volume in the horizontal position and the volume in the vertical position of a part (around the smile line) whose volume is larger when the subject's face is in the vertical position than when it is in the horizontal position. In addition, |R|=0.51 (R is the Pearson correlation coefficient).

[0034] FIG. 16 is a diagram showing an example of the relationship between the corrected moisture content of SMAS and the amount of gravitational depression. Specifically, the horizontal axis indicates SMAS / CSF (the average MRI signal intensity in the SMAS region divided by the average MRI signal intensity in the CSF region). The vertical axis indicates the amount of gravitational depression. The amount of gravitational depression is the difference between the volume in the horizontal position and the volume in the vertical position of a part (the area between the eyes and ears) whose volume is smaller when the subject's face is in the vertical position than when it is in the horizontal position. Note that |R|=0.32 (R is the Pearson correlation coefficient).

[0035] FIG. 17 is a diagram showing an example of the relationship between the corrected moisture content of SMAS and the amount of intrafacial sagging. Specifically, the horizontal axis indicates SMAS / CSF (the average MRI signal intensity in the SMAS region divided by the average MRI signal intensity in the CSF region). The vertical axis indicates the amount of intrafacial sagging. Intrafacial sagging is sagging that occurs across the entire cheek, sagging from the upper to the lower cheek. Intrafacial sagging occurs due to aging. In addition, |R|=0.51 (R is the Pearson correlation coefficient).

[0036] FIG. 18 is a diagram showing an example of the relationship between the corrected moisture content of SMAS and the amount of anterior-posterior cheek sagging. Specifically, the horizontal axis indicates SMAS / CSF (the average MRI signal intensity in the SMAS region divided by the average MRI signal intensity in the CSF region). The vertical axis indicates the amount of anterior-posterior cheek sagging. Anterior-posterior cheek sagging refers to sagging that occurs locally (around the mouth) other than sagging that hangs from the upper to the lower cheek (for example, sagging that causes the cheek to move back and forth from the oral cavity side due to deformation of the cheek around the mouth). It is known that anterior-posterior cheek sagging is a non-aging phenomenon. In addition, |R|=0.27 (R is the Pearson correlation coefficient).

[0037] FIG. 19 is a diagram showing an example of the relationship between the corrected moisture content of SMAS and the sagging skin coefficient. Specifically, the horizontal axis indicates SMAS / CSF (the average MRI signal intensity in the SMAS region divided by the average MRI signal intensity in the CSF region). The vertical axis indicates the sagging skin coefficient (note that the larger the value, the greater the effect of gravitational swelling per unit volume on the sagging score). The sagging skin coefficient is a value that indicates the effect of gravitational swelling per unit volume on the sagging score. Note that |R|=0.44 (R is the Pearson correlation coefficient).

[0038] Figures 20 to 22 are diagrams showing an example of the relationship between the corrected moisture content of SMAS and the skin viscoelasticity parameters. Specifically, each of Figures 20 to 22 shows the relationship between the moisture content of SMAS and the skin viscoelasticity parameters (R0, R1, R2, R3, R4, R5, R6, R7, R8, R9, Ue, Uv, Ur).

[0039] 23 and 24 are examples of the results of the Student's t-test, where p indicates the p-value of the Student's t-test.

[0040] As shown in Figure 23, in people in their 20s, the corrected moisture content of the SMAS (specifically, SMAS / CSF (the average MRI signal intensity in the SMAS area divided by the average MRI signal intensity in the CSF area)) is particularly correlated with the sagging scores in the nasolabial folds and smile line. Specifically, to clarify the contribution of the corrected moisture content of the SMAS to the sagging index, six subjects in their 20s were divided into two groups. Of the three factors that greatly affect the sagging index, age and BMI, there was no significant difference in the corrected moisture content of the SMAS. However, there was a significant difference in the sagging scores in the nasolabial folds and smile line. When the sagging indexes were compared, a significant difference was observed in the sagging scores in the nasolabial folds and smile line.

[0041] In subjects aged 35-50, the corrected moisture content of the SMAS (specifically, SMAS / CSF (the average MRI signal intensity in the SMAS area divided by the average MRI signal intensity in the CSF area)) was particularly correlated with the sagging scores in the marionette lines, nasolabial folds, and smile line. Specifically, to clarify the contribution of the corrected moisture content of the SMAS to the sagging index, 10 subjects aged 35-50 were divided into two groups. Of the three factors that greatly affect the sagging index, age and BMI, there was no significant difference in the corrected moisture content of the SMAS. However, there was a significant difference in the corrected moisture content of the SMAS. When the sagging indexes were compared, a significant difference was observed in the sagging scores in the marionette lines, nasolabial folds, and smile line.

[0042] As shown in Figure 24, in people in their 20s, the corrected moisture content of SMAS (specifically, SMAS / CSF (the average MRI signal intensity in the SMAS region divided by the average MRI signal intensity in the CSF region)) is particularly correlated with the skin viscoelasticity parameters R2 and R4. Specifically, to clarify the contribution of the corrected moisture content of SMAS to skin viscoelasticity, six subjects in their 20s were divided into two groups. Among the three factors that greatly affect skin viscoelasticity, age and BMI, the corrected moisture content of SMAS did not differ significantly, but the corrected moisture content of SMAS did differ significantly. When the parameters of each skin viscoelasticity were compared, a significant difference was observed in the skin viscoelasticity parameters R2 and R4.

[0043] In subjects aged 35-50, the corrected water content of the SMAS (specifically, SMAS / CSF (the average MRI signal intensity in the SMAS region divided by the average MRI signal intensity in the CSF region)) was particularly correlated with the skin viscoelasticity parameters R2, R4, R5, R7, and Ur. Specifically, to clarify the contribution of the corrected water content of the SMAS to skin viscoelasticity, 10 subjects aged 35-50 were divided into two groups. Among the three factors that greatly affect skin viscoelasticity, age and BMI, there was no significant difference in the corrected water content of the SMAS. However, there was a significant difference in the corrected water content of the SMAS. When the parameters of each skin viscoelasticity were compared, significant differences were observed in the skin viscoelasticity parameters R2, R4, R5, R7, and Ur.

[0044] FIG. 25 shows an example of the corrected moisture content, age, and sagging index of the SMAS of each subject. Specifically, the actual age (Age), smile line sagging score (SS_Smileline), sagging age (Sagging-Age (indicating the age of sagging that can be converted from the relationship between the smile line sagging score and the actual age)), the difference (difference) between the actual age and the sagging age, the value obtained by dividing the average intensity of the MRI signal in the SMAS region by the average intensity of the MRI signal in the CSF region (SMAS / CSF), SMAS age (SMAS age (indicating the age of SMAS)), and the difference (difference) between the actual age and the sagging age are shown. "Judgment" indicates that XXX indicates SMAS age-actual age>15 years, XX indicates SMAS age-actual age>10 years, X indicates SMAS age-actual age>0 years, and - indicates SMAS age-actual age<0 years. Of the 20 people in their 20s to 60s, 4 were XXX, 3 were XX, 5 were X, and 8 were -.

[0045] The skin evaluation device 10 described below pre-associates information such as sagging indices like the value of the smile line, sagging age (indicating the age equivalent of the sagging), the moisture content of the SMAS such as SMAS / CSF, and SMAS age (indicating the age equivalent of the SMAS). Then, the skin evaluation device 10 can determine other information from one or more of the associated information.

[0046] Figure 26 is a diagram for explaining the prediction of sagging improvement after dealing with the SMAS. The upper left of Figure 26 shows the relationship between SMAS / CSF and the sagging index of subjects in their 20s to 40s. The upper right of Figure 26 shows the relationship between SMAS / CSF and the sagging index of subjects in their 50s to 60s. The center of Figure 26 shows the relationship between the sagging index and the actual age. The table in Figure 26 shows the values of the group with a high SMAS / CSF value and the group with a low SMAS / CSF value and their differences, the values of the group with a high sagging score on the smile line and the group with a low sagging score on the smile line and their differences, and the relationship between the values of the group with a high apparent age value converted from the sagging score on the smile line and the group with a low apparent age value converted from the sagging score on the smile line and their differences. It is assumed that after dealing with the SMAS (that is, after increasing the moisture content of the SMAS), the sagging is improved and the apparent age becomes younger according to the actual age. For example, as shown in Figure 26, when a person in their 30s changes from the group with a low SMAS / CSF value to the group with a high SMAS / CSF value (changing from 0.67 to 0.84) due to SMAS care, the sagging score (SS) on the smile line decreases by 0.93 points (changing from 2.75 to 1.81), and the value of the apparent age converted from the sagging score on the smile line changes by points (changing from 39.51 years old to 28.5 years old). The skin evaluation device 10 described below can use these relationships to estimate the apparent age when dealing with the SMAS before actually dealing with it.

[0047] <<Estimation of the moisture content of the SMAS>> Fig. 27 is a diagram for explaining estimation of moisture content of SMAS. As shown in Fig. 10 to Fig. 21, the moisture content of SMAS correlates with an index representing facial sagging. Therefore, the skin evaluation device 10 described later can estimate the moisture content of SMAS from one or more types of sagging indexes, as shown in Fig. 27.

[0048] Below, we will explain a method for evaluating the condition of facial skin based on the moisture content of SMAS.

[0049] <Overall composition> Fig. 28 is a diagram showing the overall configuration according to one embodiment of the present invention. The skin evaluation device 10 can acquire, from the sagging index measurement device 20, an index representing facial sagging measured by the sagging index measurement device 20. Furthermore, the skin evaluation device 10 can acquire, from the MRI device 30, an image generated by the MRI device 30. Each of these will be described below.

[0050] The skin evaluation device 10 evaluates the condition of facial skin based on the moisture content of SMAS. In one embodiment of the present invention, the skin evaluation device 10 can estimate the moisture content of SMAS from an index representing facial sagging. In one embodiment of the present invention, the skin evaluation device 10 can calculate the moisture content of SMAS from images acquired by MRI.

[0051] The sagging index measuring device 20 measures an index representing facial sagging. For example, the index representing facial sagging includes at least one of a sagging score in marionette lines, a sagging score in nasolabial folds, a sagging score in smile lines, a sagging score in jaw lines, a sagging score in under-eye areas, a gravitational bulge amount, a gravitational depression amount, an amount of intra-facial sagging, an amount of front-rear cheek sagging, a sagging skin coefficient, and a parameter of skin viscoelasticity.

[0052] The MRI device 30 generates images showing information about the inside of a living body by nuclear magnetic resonance imaging. Specifically, the MRI device 30 generates Water: IDEAL IQ images that show water and fat separately. The MRI device 30 can also generate T2W images that show morphology.

[0053] <Function block> Fig. 29 is a functional block diagram of a skin evaluation device 10 according to an embodiment of the present invention. As shown in Fig. 29, the skin evaluation device 10 can include a moisture amount estimation unit 101, a moisture amount calculation unit 102, a moisture amount acquisition unit 103, and an evaluation unit 104. Furthermore, the skin evaluation device 10 can function as the moisture amount estimation unit 101, the moisture amount calculation unit 102, the moisture amount acquisition unit 103, and the evaluation unit 104 by executing a program. Each of these will be described below.

[0054] The moisture amount estimation unit 101 acquires an index representing facial sagging measured by the sagging index measurement device 20 from the sagging index measurement device 20. The moisture amount estimation unit 101 also estimates the moisture amount of the SMAS from the index representing facial sagging. The moisture amount estimation unit 101 can further acquire the actual age of the person to be measured, and estimate the moisture amount of the SMAS from the index representing facial sagging and the actual age (i.e., taking the actual age into consideration).

[0055] The moisture calculation section 102 acquires from the MRI device 30 the image generated by the MRI device 30 and calculates the moisture content of the SMAS. Specifically, the moisture calculation section 102 can identify the SMAS region based on the image showing the morphology generated by the MRI device 30. Furthermore, the moisture calculation section 102 can calculate the corrected moisture content of the SMAS (for example, SMAS / CSF (the value obtained by dividing the average MRI signal intensity in the SMAS region by the average MRI signal intensity in the CSF region)) based on the Water: IDEAL IQ image generated by the MRI device 30, which shows water and fat separately.

[0056] The moisture amount acquisition unit 103 acquires the moisture amount of the SMAS. Note that, in one embodiment of the present invention, the moisture amount acquisition unit 103 can acquire the moisture amount of the SMAS estimated by the moisture amount estimation unit 101. Also, in one embodiment of the present invention, the moisture amount acquisition unit 103 can acquire the moisture amount of the SMAS calculated by the moisture amount calculation unit 102.

[0057] The evaluation unit 104 evaluates the condition of the facial skin based on the moisture content of the SMAS acquired by the moisture content acquisition unit 103. Specifically, the skin evaluation device 10 previously associates and stores information such as a sagging index, a sagging age (indicating the age of the sagging), a corrected moisture content of the SMAS (for example, SMAS / CSF (the value obtained by dividing the average intensity of the MRI signal in the SMAS region by the average intensity of the MRI signal in the CSF region)), and a SMAS age (indicating the age of the SMAS), and uses the information in the evaluation of the facial skin condition.

[0058] For example, the evaluation unit 104 can calculate the age associated with the moisture content of the SMAS (that is, the SMAS age).

[0059] For example, the evaluation unit 104 can determine whether or not SMAS treatment is required based on the difference between the actual age and the age associated with the moisture content of the SMAS (i.e., SMAS age). Specifically, the evaluation unit 104 can determine that the SMAS should be treated (the SMAS should be cared for) for people whose SMAS age is higher than their actual age.

[0060] For example, the evaluation unit 104 can determine whether the cause of facial sagging is SMAS or not based on the moisture content of SMAS and the index representing facial sagging. Specifically, the evaluation unit 104 can determine that the cause of facial sagging is SMAS for those whose SMAS age is higher than their actual age among those whose sagging age is higher than their actual age. Those whose facial sagging is caused by SMAS (i.e., those whose SMAS age is higher than their actual age among those whose sagging age is higher than their actual age) are those for whom SMAS care is effective in improving sagging.

[0061] For example, the evaluation unit 104 can calculate the apparent age after addressing the SMAS.

[0062] <Method> FIG. 30 is a flowchart of a skin condition evaluation process according to one embodiment of the present invention.

[0063] In step 1 (S1), the moisture amount acquisition unit 103 acquires the moisture amount of the SMAS. Note that, in one embodiment of the present invention, the moisture amount acquisition unit 103 can acquire the moisture amount of the SMAS estimated by the moisture amount estimation unit 101. Also, in one embodiment of the present invention, the moisture amount acquisition unit 103 can acquire the moisture amount of the SMAS calculated by the moisture amount calculation unit 102.

[0064] In step 2 (S2), the evaluation unit 104 evaluates the condition of the facial skin based on the moisture content of the SMAS acquired in S1.

[0065] FIG. 31 is a flowchart of a process for estimating the moisture content of the SMAS according to one embodiment of the present invention.

[0066] In step 11 (S11), the moisture amount estimating unit 101 acquires from the sagging index measuring device 20 an index that indicates facial sagging measured by the sagging index measuring device 20.

[0067] In step 12 (S12), the moisture amount estimation unit 101 estimates the moisture amount of the SMAS from the index representing facial sagging acquired in S11.

[0068] <Screening method> In one embodiment of the present invention, the moisture content of the SMAS can be used as an index for judging the effectiveness of a substance. Specifically, in one embodiment of the present invention, the skin evaluation device 10 can select a substance that increases or decreases the moisture content of the SMAS from among a plurality of substances based on the moisture content of the SMAS or based on the facial skin condition evaluated based on the moisture content of the SMAS. In this way, in one embodiment of the present invention, a substance that increases or decreases the moisture content of the SMAS can be selected and obtained. For example, the substance is a material intended to be blended into cosmetics, such as a plant extract or a compound. Also, for example, the substance is a cosmetic, a drug, a food, or the like.

[0069] <Beauty method> In one embodiment of the present invention, the skin evaluation device 10 can present (for example, display on a screen) a beauty method for increasing the moisture content of the SMAS based on the moisture content of the SMAS or based on the facial skin condition evaluated based on the moisture content of the SMAS. For example, a beauty consultant or the like can carry out the presented beauty method on a customer.

[0070] [Age when SMAS moisture content changes with age] The age at which SMAS moisture content changes with age is described below. As described below, by referring to a database of SMAS moisture content measured in the past by individuals of different ages, the age at which SMAS moisture content changes from increasing to decreasing was found to be the value that is statistically most likely to show a central tendency and has a certain range (37.68 ± 2.25 years (1 SD (standard deviation)) in the 2-break model). In addition, the age at which the rate of decrease changes was found to be the value that is statistically most likely to show a central tendency and has a certain range (43.45 ± 3.22 years (1 SD) in the 2-break model).

[0071] Fig. 32 is a diagram showing an example of the relationship between age and the value of the moisture content of SMAS corrected by the moisture content of CSF according to one embodiment of the present invention. Specifically, the horizontal axis shows the age of the subject. The vertical axis shows the value (SMAS / CSF) obtained by dividing the average MRI signal intensity in the SMAS region by the average MRI signal intensity in the CSF region. Fig. 32 shows that age-related changes in the moisture content of SMAS occur in people in their 30s.

[0072] FIG. 33 is a diagram showing an example of the relationship between the value of the SMAS moisture content corrected by the CSF moisture content and age according to an embodiment of the present invention. Specifically, the horizontal axis indicates the age of the subject. The vertical axis indicates the average and standard deviation of the value (SMAS / CSF) obtained by dividing the average intensity of the MRI signal in the SMAS region by the average intensity of the MRI signal in the CSF region. The SMAS / CSF was calculated for 10 subjects in their 20s, 11 subjects in their 30s, 10 subjects in their 40s, 10 subjects in their 50s, and 11 subjects in their 60s. p is the statistical significance using Student's t-test. From FIG. 33, it can be seen that there is a statistically significant difference in the SMAS moisture content between the 30s and 40s, and between the 50s and 60s, and that the SMAS moisture content in the 40s and 60s is significantly lower than that in the 30s and 50s.

[0073] FIG. 34 is a diagram for explaining a comparison of each model according to an embodiment of the present invention. FIG. 34 shows the values ​​of WBIC (Widely applicable Bayesian information criterion) and WAIC (Widely applicable information criterion) for each of Linear (1st order (linear)), Quadratic (2nd order), Cubic (3rd order), Quartic (4th order), 1break (when one change occurs), 2breaks (when two changes occur), and 3breaks (when three changes occur). Although BIC (Bayesian information criterion) and AIC (Akaike information criterion) are known as indicators for model selection, in this case, WBIC and WAIC, which can be used even in a statistically irregular model such as this case, were used. A model with a lower value for both is considered to be a better model. In addition, the Markov chain Monte Carlo method (MCMC) was used to calculate WBIC and WAIC. From FIG. 34, it can be seen that a model with break points such as 1break or 2breaks is a better model than Linear. These results revealed that there is an age (turning point) at which the degree of age-related change in SMAS moisture content changes.

[0074] The models are shown in Figures 35 and 36. In these analyses, the model with the lowest WBIC and WAIC was the 2breaks model. If we assume that the 2breaks model is the true model, the age (turning point) at which the degree of change in SMAS water content due to age changes is 37.68 ± 2.25 years (1 SD), the point at which SMAS water content changes from an increase to a decrease, and 43.45 ± 3.22 years (1 SD), the point at which the degree of decrease changes. The 3-break model, which has larger but similar WBIC and WAIC values ​​than the 2-break model, has a turning point at which the degree of change in SMAS water content with age changes, at 37.59 ± 2.18 years (1 SD), where SMAS water content changes from increasing to decreasing, and at 43.58 ± 2.64 years (1 SD) and 55.28 ± 3.14 years (1 SD), where the degree of decrease changes. The first and second break points of the 3-break model are both close to the break points of the 2-break model, and the results of the 3-break model support the results of the 2-break model. The 1-break model, which is the simplest model with break points, has a turning point at which the degree of change in SMAS water content with age changes, at 34.24 ± 6.62 years (1 SD), where SMAS water content changes from increasing to decreasing, but the WBIC and WAIC of the 1-break model are both higher than those of the 2-break and 3-break models. If we consider Cubic, which has the smallest WBIC and WAIC values ​​among the power models that assume continuous change, to be the true model, the age (turning point) at which SMAS water content changes from increasing to decreasing is 30.27 years old, where it reaches its maximum.

[0075] Fig. 37 is a flowchart of an evaluation process according to an embodiment of the present invention. For example, in the evaluation of the condition of the facial skin (S2 in Fig. 30), the evaluation unit 104 can perform an evaluation based on age at which the moisture content of the SMAS in Fig. 37 changes with age.

[0076] In step 101 (S101), the evaluation unit 104 acquires the actual age of a person whose facial skin condition is to be evaluated.

[0077] In step 102 (S102), the evaluation unit 104 compares the actual age obtained in S101 with the age at which the degree of change in the moisture content of the SMAS due to aging changes (turning point) (at the point where the moisture content of the SMAS in the best model changes from increasing to decreasing, 37.68 ± 2.25 years old (1SD)). The best model described above refers to the 2-breaks model with the lowest WBIC and WAIC. However, the age (turning point) to be compared with the actual age does not exclude the cases of 37.68 ± 2.25 years old (1SD) in the 2-breaks model, 34.24 ± 6.62 years old (1SD) in the 1-breaks model, 37.59 ± 2.18 years old (1SD) in the 3-breaks model, and 30.27 years old in the Cubic model.

[0078] When selecting the model with the smallest WBIC and WAIC values among the power models assuming continuous change, although it is not the model with the lowest WBIC and WAIC, the evaluation unit 104 compares the actual age obtained in S101 with 30.27 years old, which is the maximum point of the moisture content of the SMAS in the Cubic model.

[0079] In step 103 (S103), the evaluation unit 104 recommends beauty information according to the result of the comparison in S102. The beauty information includes at least one of information on beauty treatments, information on cosmetics, information on foods, and information on lifestyle habits.

[0080] Specifically, the evaluation unit 104 does not recommend beauty treatments targeting the SMAS that have not deteriorated due to aging or recommends beauty information for suppressing the aging of the SMAS to those in their 20s. Also, the evaluation unit 104 recommends beauty information for sagging care or firming care to those in their 30s. Further, the evaluation unit 104 recommends beauty information for improving the SMAS to those in their 40s or older.

[0081] <Evaluation based on the moisture content of the SMAS, and comparison between the actual age and the turning point> In one embodiment of the present invention, the evaluation unit 104 can recommend beauty information based on the facial skin condition evaluated based on the moisture content of the SMAS and the results of a comparison between the actual age and the age (turning point) at which the degree of change in SMAS moisture content due to aging changes (the point at which the SMAS moisture content changes from increasing to decreasing in the best model is 37.68±2.25 years (1SD)).

[0082] <Evaluation based on facial skin information and comparison with actual age and turning points> In one embodiment of the present invention, the evaluation unit 104 acquires information on the facial skin (e.g., wrinkles, etc.) and evaluates the facial skin condition based on the information on the facial skin. The evaluation unit 104 can then recommend beauty information according to the results of the evaluation of the facial skin condition and a comparison between the actual age and the age (turning point) at which the degree of change in SMAS moisture content due to aging changes (37.68±2.25 years (1SD) at which the SMAS moisture content changes from increasing to decreasing in the best model).

[0083] <Hardware configuration> 38 is a block diagram showing an example of a hardware configuration of a skin evaluation device 10 according to an embodiment of the present invention. The skin evaluation device 10 has a CPU (Central Processing Unit) 1001, a ROM (Read Only Memory) 1002, and a RAM (Random Access Memory) 1003. The CPU 1001, the ROM 1002, and the RAM 1003 form a so-called computer.

[0084] The skin evaluation device 10 may also have an auxiliary storage device 1004, a display device 1005, an operation device 1006, an I / F (Interface) device 1007, and a drive device 1008. The hardware components of the skin evaluation device 10 are connected to each other via a bus B.

[0085] The CPU 1001 is a computing device that executes various programs installed in the auxiliary storage device 1004 .

[0086] The ROM 1002 is a non-volatile memory. The ROM 1002 functions as a main storage device that stores various programs, data, etc. required for the CPU 1001 to execute various programs installed in the auxiliary storage device 1004. Specifically, the ROM 1002 functions as a main storage device that stores boot programs such as a BIOS (Basic Input / Output System) and an EFI (Extensible Firmware Interface).

[0087] The RAM 1003 is a volatile memory such as a dynamic random access memory (DRAM) or a static random access memory (SRAM). The RAM 1003 functions as a main storage device that provides a working area in which various programs installed in the auxiliary storage device 1004 are expanded when the CPU 1001 executes them.

[0088] The auxiliary storage device 1004 is an auxiliary storage device that stores various programs and information used when the various programs are executed.

[0089] The display device 1005 is a display device that displays the internal state of the skin evaluation device 10 and the like.

[0090] The operation device 1006 is an input device through which the administrator of the skin evaluation device 10 inputs various instructions to the skin evaluation device 10 .

[0091] The I / F device 1007 is a communication device for connecting to a network and communicating with other devices.

[0092] The drive device 1008 is a device for setting the storage medium 1009. The storage medium 1009 here includes media that record information optically, electrically, or magnetically, such as a CD-ROM, a flexible disk, a magneto-optical disk, etc. The storage medium 1009 may also include semiconductor memories that record information electrically, such as an EPROM (Erasable Programmable Read Only Memory), a flash memory, etc.

[0093] The various programs to be installed in the auxiliary storage device 1004 are installed, for example, by setting the distributed storage medium 1009 in the drive device 1008 and reading out the various programs recorded in the storage medium 1009 by the drive device 1008. Alternatively, the various programs to be installed in the auxiliary storage device 1004 may be installed by being downloaded from a network via the I / F device 1007.

[0094] Although the embodiments of the present invention have been described in detail above, the present invention is not limited to the specific embodiments described above, and various modifications and variations are possible within the scope of the gist of the present invention as defined in the claims.

[0095] This international application claims priority based on Japanese Patent Application No. 2020-201925 filed on December 4, 2020, and Japanese Patent Application No. 2021-123948 filed on July 29, 2021, the entire contents of which are hereby incorporated by reference into this international application. [Explanation of symbols]

[0096] 10 Skin evaluation device 20 Sagging index measuring device 30 MRI machine 101 Moisture content estimation section 102 Moisture content calculation unit 103 Moisture content acquisition part 104 Evaluation Department 1001 CPU 1002 ROM 1003 RAM 1004 Auxiliary storage device 1005 Display device 1006 Operating device 1007 I / F device 1008 Drive device 1009 Storage medium

Claims

1. Obtain the moisture content of the facial fascia (SMAS), The method comprises assessing the condition of the facial skin based on the moisture content of the SMAS.

2. The method of claim 1 , wherein assessing the facial skin condition includes calculating an age associated with the SMAS moisture content.

3. The method according to claim 2 , wherein evaluating the facial skin condition includes determining whether or not the SMAS needs to be addressed based on a difference between an actual age and an age associated with the SMAS moisture content.

4. The method according to claim 1 , wherein evaluating the condition of the facial skin includes determining whether the cause of the facial sagging is the SMAS based on an index representing the moisture content of the SMAS and the facial sagging.

5. 5. The method of claim 4, wherein assessing the facial skin condition includes calculating an apparent age after addressing the SMAS.

6. Obtain an index that represents facial sagging, The method according to claim 1 , further comprising estimating the moisture content of the SMAS, which is the facial fascia, from the index representing the facial sagging.

7. The method according to any one of claims 1 to 6, further comprising selecting a substance that increases or decreases the moisture content of the SMAS from among a plurality of substances based on the facial skin condition evaluated based on the moisture content of the SMAS.

8. A method for selecting a substance that increases or decreases the moisture content of the SMAS, which is the facial fascia, from among a plurality of substances based on the moisture content of the SMAS.

9. The method according to claim 1 , further comprising suggesting a cosmetic method for increasing the moisture content of the SMAS based on the facial skin condition evaluated based on the moisture content of the SMAS.

10. A method for presenting a beauty method for increasing the moisture content of the SMAS, which is the facial fascia, based on the moisture content of the SMAS.

11. Obtain the actual age of the person being measured, The actual age is compared with at least one of 37.68±2.25 years for the 2-break model, 34.24±6.62 years for the 1-break model, 37.59±2.18 years for the 3-break model, and 30.27 years for the Cubic model; The method of claim 1 , further comprising recommending beauty information in response to a result of the comparison.

12. The method according to claim 11, wherein 37.68±2.25 years is the age at which the SMAS water content in the best model changes from increasing to decreasing with age.

13. The method according to claim 11 , further comprising recommending beauty information according to the facial skin condition evaluated based on the SMAS moisture content and the result of the comparison.

14. The SMAS moisture content of the subject is: Obtain an index representing the sagging of the subject's face; The method according to claim 13 , wherein the moisture content of the SMAS is obtained by estimating the moisture content from the index representing the facial sagging.

15. Acquire information about the subject's facial skin, Evaluating the facial skin condition of the subject based on the facial skin information; The method of claim 11 , further comprising: recommending beauty information in response to the facial skin condition assessed based on the facial skin information and the result of the comparison.

16. The method according to claim 11 , wherein the beauty information includes at least one of information on beauty treatments, information on cosmetics, information on food, and information on lifestyle habits.

17. 17. The method according to any one of claims 11 to 16, wherein cosmetic treatments targeting SMAS, which is not experiencing deterioration due to aging, are not recommended for a person whose actual age is in their 20s, or cosmetic information for inhibiting aging of SMAS is recommended.

18. The method according to any one of claims 11 to 16, wherein beauty information for sagging care or firming care is recommended to a person whose actual age is in his or her 30s.

19. The method according to any one of claims 11 to 16, wherein beauty information for improving SMAS is recommended to a person whose actual age is 40 years or older.

20. A moisture amount acquisition unit that acquires the moisture amount of the SMAS, which is the facial fascia; An evaluation unit that evaluates the condition of the facial skin based on the moisture content of the SMAS.

21. Computer, A moisture content acquisition unit that acquires the moisture content of the SMAS, which is the facial fascia; A program for causing the device to function as an evaluation unit that evaluates the condition of the facial skin based on the moisture content of the SMAS.

22. Obtain an index that represents facial sagging, A method for estimating the moisture content of the SMAS, which is the facial fascia, from the index representing the facial sagging.

23. The actual age of the person being measured is further obtained, The method according to claim 22, wherein the water content of the SMAS is estimated from the index representing facial sagging and the actual age.

24. Obtain an index that represents facial sagging, A moisture content estimation unit that estimates the moisture content of the SMAS, which is the facial fascia, from the index representing the facial sagging.

25. Computer Obtain an index that represents facial sagging, A program for functioning as a moisture content estimation unit that estimates the moisture content of the SMAS, which is the fascia of the face, from an index representing sagging of the face.

Images