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WO2021090917A1 - Procédé de détermination d'attributs de décoloration, système de détermination d'attributs de décoloration, procédé d'estimation de la densité vasculaire et système d'estimation de la densité vasculaire - Google Patents

Procédé de détermination d'attributs de décoloration, système de détermination d'attributs de décoloration, procédé d'estimation de la densité vasculaire et système d'estimation de la densité vasculaire Download PDF

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Publication number
WO2021090917A1
WO2021090917A1 PCT/JP2020/041557 JP2020041557W WO2021090917A1 WO 2021090917 A1 WO2021090917 A1 WO 2021090917A1 JP 2020041557 W JP2020041557 W JP 2020041557W WO 2021090917 A1 WO2021090917 A1 WO 2021090917A1
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WIPO (PCT)
Prior art keywords
blood vessel
stain
vessel density
image
region
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Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2020/041557
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English (en)
Japanese (ja)
Inventor
真人 二宮
祐輔 原
拓馬 星野
久美子 菊地
豊信 山下
圭 根岸
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shiseido Co Ltd
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Shiseido Co Ltd
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Priority to JP2021555125A priority Critical patent/JP7642959B2/ja
Priority to CN202080073428.2A priority patent/CN114585296A/zh
Publication of WO2021090917A1 publication Critical patent/WO2021090917A1/fr
Anticipated expiration legal-status Critical
Priority to JP2024230797A priority patent/JP2025031989A/ja
Ceased legal-status Critical Current

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/44—Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
    • A61B5/441—Skin evaluation, e.g. for skin disorder diagnosis
    • A61B5/444—Evaluating skin marks, e.g. mole, nevi, tumour, scar
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B10/00—Instruments for taking body samples for diagnostic purposes; Other methods or instruments for diagnosis, e.g. for vaccination diagnosis, sex determination or ovulation-period determination; Throat striking implements
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0062—Arrangements for scanning
    • A61B5/0064—Body surface scanning
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/026—Measuring blood flow

Definitions

  • the present invention relates to a spot attribute determination method, a stain attribute determination system, a blood vessel density estimation method, and a blood vessel density estimation system.
  • the stain can be evaluated only after the treatment such as phototherapy is performed on the stain site, and it is difficult to predict in advance whether or not there is a therapeutic effect on the stain site. ..
  • An object of the present invention is to provide a stain attribute determination method that can easily evaluate stains.
  • one aspect of the present invention is a method for determining a stain attribute, which defines a region of skin containing a stain, measures the blood vessel density of the region, and determines the attribute of the stain from the blood vessel density.
  • FIG. 1 is a flowchart showing an example of an algorithm of the stain attribute determination method according to the present invention.
  • FIG. 2 is a diagram showing the configuration of a skin region (spot portion).
  • the skin region (hereinafter, may be referred to as a skin region or a spot site) SA containing the spot SS is defined (see FIG. 1, step S1, and FIG. 2).
  • the spot SS indicates a state in which the melanin pigment is deposited on the skin (see FIG. 2).
  • Specific examples of spot SS include post-inflammatory hyperpigmentation in addition to senile pigmented spots (sunlight moles), seborrheic keratosis, freckles, chloasma and the like.
  • the skin area (skin area) SA refers to the surface and internal areas of the skin. Specifically, the surface of the skin corresponds to the epidermis EM, and the inside of the skin corresponds to the dermis DM (see FIG. 2). Demarcating means treating the skin region SA containing the spot SS as a certain range (spot site).
  • the mode for defining the skin region (spot site) SA is not limited.
  • the skin area (spot site) SA may be visually defined by a specialist or a skilled person, or may be mechanically defined by image analysis using an apparatus or the like.
  • the mode for specifying the stain SS contained in the stain site SA is not limited.
  • the spot SS can be specified based on, for example, the brightness or color of the skin region SA containing the spot SS.
  • the brightness of the skin region SA indicates the brightness of the surface of the spot SA.
  • the color of the skin region SA indicates the color of the surface of the spot SA.
  • the blood vessel BV of the skin area (spot site) SA is visualized (see FIG. 1, step S2, and FIG. 2). Specifically, an image of the defined skin region (stain site) SA is acquired.
  • the image of the skin area (spot site) SA indicates an image (or image data) obtained by photographing or imaging the defined skin area (spot site) SA.
  • the blood vessel density of the skin region (stain site) SA is further measured (see FIG. 1, step S3, and FIG. 2).
  • the blood vessel density indicates the degree of density of blood vessel BVs (see FIG. 2).
  • the mode for measuring the blood vessel density is not limited.
  • the blood vessel density is measured by image analysis of the image of the skin region SA as described above.
  • Image analysis means extracting basic elements from an image and obtaining statistical data.
  • the mode of image analysis is arbitrary, and examples thereof include image analysis for visualizing the skin region by binarizing the image of the skin region SA.
  • the target of the image used for the image analysis for measuring the blood vessel density is not limited.
  • the image used for image analysis is preferably a blood flow image of the skin region SA.
  • the blood flow image indicates an image of a region in which blood flows in the skin region SA.
  • FIG. 3 is a diagram showing the principle of visualizing the skin area.
  • an image such as a blood flow image is formed by an optical coherence tomography (hereinafter, sometimes referred to as OCT) VD shown in FIG.
  • the optical interference tomography apparatus VD is an apparatus that irradiates the skin region SA with low coherence near infrared rays from the light source LS and visualizes the skin region SA in a non-contact manner by interference with the reflected near infrared rays (). (See FIG. 3).
  • the wavelength of near infrared rays is arbitrary. In the present embodiment, the wavelength of the near infrared rays to be irradiated is set to about 1300 nm.
  • Images such as blood flow images are not limited to those formed by OCT.
  • images obtained by a method other than OCT include images obtained by a method such as a laser speckle blood flow meter, a Doppler blood flow meter, and a video microscope.
  • a two-dimensional plane image IM2 can be used for the image of the skin region SA (see FIG. 4).
  • the black and white of the image reflects the intensity of the reflected light from the tissue, and the image of the moving region shows the blood flow image BF.
  • a three-dimensional image IM3 can be used instead of the plane image (two-dimensional image) IM2 (see FIG. 5).
  • the three-dimensional image IM3 shows a three-dimensional image represented by a three-dimensional Cartesian coordinate system (X-axis, Y-axis, Z-axis).
  • the three-dimensional image IM3e having a depth of 200 ⁇ m from the surface of the skin region SA
  • the three-dimensional image IM3d having a depth of 400 ⁇ m from the surface of the skin region SA are used. It is shown.
  • the blood flow image BF can be calculated by the predetermined model formula (1) shown in FIG.
  • the blood vessel density indicates the ratio (%) of the area of the blood vessel BV (blood flow image BF) to the area of the defined skin region (stain site) SA, and the blood flow image.
  • the BF is a three-dimensional image, the ratio (%) of the volume of the blood vessel BV (blood flow image BF) to the volume of the defined skin region (stain site) SA is shown.
  • the location of the skin region SA from which the image used for image analysis is acquired is not limited.
  • the image of the skin region SA is an image (three-dimensional image IM3e) obtained from a depth of, for example, 50 ⁇ m or more and 600 ⁇ m or less from the surface of the skin region SA, and is preferable. It is an image (three-dimensional image IM3d) obtained from a range of 200 ⁇ m or more and 500 ⁇ m or less, more preferably 300 ⁇ m or more and 400 ⁇ m or less.
  • the range in which the depth from the surface of the skin region SA is 50 ⁇ m or more and 600 ⁇ m or less substantially corresponds to the range including the epidermis and the dermis
  • the range of 200 ⁇ m or more and 500 ⁇ m or less substantially corresponds to the range including the dermis and is 300 ⁇ m.
  • the range of 400 ⁇ m or more corresponds substantially to a part of the dermis.
  • the attribute of the stain SS is further determined from the blood vessel density (see FIG. 1, step S4, and FIG. 2).
  • the attribute of the stain SS (hereinafter, may be referred to as the stain attribute) indicates the unique property and characteristic of the stain SS. Determining the stain attribute from the blood vessel density indicates that the stain attribute is distinguished based on the blood vessel density.
  • the stain attribute is determined for another skin area (stain site) SA after the stain attribute is determined for the target skin area (stain site) SA, the stain attribute is determined from the definition of the stain site SA. The process up to the determination (see FIG. 1, steps S1 to S4) is repeated.
  • the attribute of the stain SS determined from the blood vessel density is not limited.
  • the effectiveness of laser treatment for the stain SS is determined as an attribute of the stain SS.
  • the laser treatment is a kind of phototherapy, and refers to a treatment in which the spot SS is eliminated by selectively destroying melanin or the like that causes the spot SS by irradiating the laser.
  • the effectiveness of treatment indicates the magnitude of the effect of treatment.
  • FIG. 7 is a flowchart showing an example of an algorithm for calculating the correlation coefficient between the blood vessel density and the attribute of the spot in the skin area (spot site).
  • the blood vessel density and the melanin value Mb of the skin region (spot site) SA before the laser treatment are measured (see FIGS. 2, 7, step S11, 8, and 10).
  • the melanin level indicates the degree of blackness of the skin area (spot area) SA.
  • the melanin value is an example of an index indicating the color of the skin, and is inversely proportional to the brightness.
  • the method for measuring the melanin level is arbitrary.
  • the melanin level Mb was measured using a skin analyzer (ANTERA 3D, manufactured by Gadelius Medical Co., Ltd.).
  • spot SA is irradiated with a laser to eliminate (or thin) the spot SS contained in the skin region SA.
  • the melanin level Ma 3 months after the laser treatment is measured (see FIGS. 2, 7, 13, steps S13, 9, and 11).
  • the measurement of the melanin value Ma is performed in the same manner as the measurement of the melanin value Mb of the skin region (spot site) SA before the laser treatment (FIG. 7, step S11).
  • the ratio Ma / Mb (hereinafter referred to as melanin value ratio M * ) of the melanin value Ma after the laser treatment and the melanin value Mb before the laser treatment in the skin region (spot site) SA is calculated (FIGS. 2 and 2). 7. See step S14).
  • melanin value ratio M * the ratio of the melanin value Ma after the laser treatment and the melanin value Mb before the laser treatment in the skin region (spot site) SA is calculated (FIGS. 2 and 2). 7. See step S14).
  • the correlation coefficient between the blood vessel density of the skin region (spot site) SA and the melanin value ratio M * is calculated (FIG. 7, step S15).
  • the data obtained by measuring the blood vessel density of the skin region (spot site) SA and the melanin value ratio M * were plotted for 13 subjects of 11 subjects, and the correlation coefficient was 0.63 ( See FIG. 12).
  • the ratio L * a / L * b (hereinafter, brightness ratio L * r ) of the brightness L * a 12 weeks after the laser treatment and the brightness L * b before the laser treatment in the skin area (stain site) SA. ) was calculated.
  • the brightness measurement method is arbitrary.
  • the brightness L * a and L * b were measured using a skin analyzer (ANTERA 3D manufactured by Gadelius Medical Co., Ltd.). The higher the value of the brightness ratio L * r, the higher the laser treatment effect, and the lower the value of the brightness ratio L * r, the lower the laser treatment effect.
  • the correlation coefficient between the blood vessel density of the skin region (spot site) SA and the obtained brightness ratio L * r was calculated.
  • the blood vessel density and brightness ratio L * r of the skin area (stain site) SA were plotted with the data measured for the above 11 subjects (13 cases), and the correlation coefficient was -0.629 (FIG. 13). reference).
  • the inventor of the present invention may have a high blood vessel density or a low blood vessel density in the skin region (hereinafter referred to as a spot site) SA containing the spot SS, and the spot site depends on the high or low blood vessel density.
  • a spot site a high blood vessel density or a low blood vessel density in the skin region
  • the spot site depends on the high or low blood vessel density. It was found that the attributes of the stain SS contained in SA are different. Specifically, there are cases where the spot SS remains disappeared after laser treatment of the spot SA, and there are cases where the spot SS recurs, and the difference in the therapeutic effect tends to be caused by the high or low blood vessel density. Do you get it. That is, it was found that there is a correlation between the attribute of the spot SS and the blood vessel density of the spot SA.
  • the stain attribute determination method of this example is obtained from such consideration, and only by measuring the blood vessel density of the skin region SA by determining the stain attribute from the blood vessel density of the defined skin region SA. , The nature and characteristics of the spot SA can be identified. Thereby, in this example, the stain attribute such as the presence or absence of the therapeutic effect on the stain site SA can be predicted in advance. Therefore, according to the stain attribute determination method of this example, it is possible to easily evaluate the stain SS before performing a treatment such as phototherapy.
  • the stain attribute determination method of this example objective information on the blood vessel density of the skin region SA can be obtained by measuring the blood vessel density by image analysis of the skin region SA. Therefore, the stain attribute can be determined with high accuracy by determining the stain attribute from the blood vessel density measured by the image analysis of the skin region SA.
  • the stain attribute determination method of this example more objective information on the blood vessel density of the skin region SA can be obtained by measuring the blood vessel density by image analysis of the blood flow image BF of the skin region SA. Therefore, the stain attribute can be determined with higher accuracy by determining the stain attribute from the blood vessel density measured by the image analysis of the blood flow image BF of the skin region SA.
  • stain attribute determination method of this example more objective information on the blood vessel density of the skin region SA can be obtained by measuring the blood vessel density by image analysis of the three-dimensional image IM3 of the skin region SA. Therefore, by determining the stain attribute based on the blood vessel density measured by the three-dimensional image IM3 of the skin region SA from the image analysis, the stain attribute can be determined with higher accuracy.
  • the blood vessel density of the skin region SA is leaked by measuring the blood vessel density by image analysis of an image obtained from a depth of 50 ⁇ m or more and 600 ⁇ m or less from the surface of the skin region SA. You can get information without information. Therefore, even higher accuracy is achieved by determining the stain attribute based on the blood vessel density measured by image analysis of the image obtained from the portion of the skin region SA where the depth from the surface of the skin region SA is in such a range.
  • the stain attribute can be determined with.
  • the skin region SA containing the spot SS can be objectively defined by specifying the spot SS based on the brightness or color of the skin region SA containing the spot SS. it can. Therefore, by determining the stain attribute from the blood vessel density of the skin region SA in which the stain SS is specified in this way, the stain attribute can be determined with high accuracy.
  • the effect of laser treatment on the spot SA is only measured by measuring the blood vessel density of the skin region SA by determining the effectiveness of the laser treatment for the spot SS as the attribute of the spot SS. It is possible to predict in advance the presence or absence of. Therefore, according to the present embodiment, it is possible to more easily evaluate the stain SS before performing the laser treatment on the stain site SA.
  • FIG. 15 is a block diagram showing an embodiment of the stain attribute determination system according to the present invention.
  • the stain attribute determination system 1 according to the present embodiment includes an information input unit 10, an image forming unit 20, a blood vessel density measurement unit 30, a stain attribute determination unit 40, an information output unit 50, a central processing unit (CPU) 60, and a memory 70. (Fig. 15).
  • the stain attribute determination system 1 is an example of the stain attribute determination system according to the present invention, and the stain attribute determination method according to the present invention can be executed.
  • the information input unit 10 is an interface capable of inputting various information of the subject (for example, identification number, gender, age, position of spot site, etc.) (see FIG. 15).
  • the information input unit 10 is communicably connected to the central processing unit (CPU) 60 and the memory 70 (see FIG. 15).
  • the information input unit 10 is controlled by a central processing unit (CPU) 60.
  • the input information can be stored in the memory 70.
  • the image forming unit 20 forms an image (images IM2, IM3, etc.) of the skin region (spot portion) SA containing the spot SS (see FIGS. 2, 4, 5, and 15). Specifically, the image forming unit 20 executes a part of the above-mentioned stain attribute determination method (FIG. 1, step S2).
  • the image forming unit 20 is communicably connected to the information input unit 10, the central processing unit (CPU) 60, and the memory 70 (see FIG. 15).
  • the image forming unit 20 is controlled by the central processing unit (CPU) 60, and the image data obtained by the image forming unit 20 can be stored in the memory 70.
  • the image forming unit 20 is an example of an image forming unit that constitutes a part of the stain attribute determination system according to the present invention.
  • the blood vessel density measuring unit 30 measures the blood vessel density of the skin area (spot site) SA from the image IM of the skin area (spot site) SA (see FIGS. 2, 4, 5, and 15). Specifically, the blood vessel density measuring unit 30 executes a part of the above-mentioned stain attribute determination method (FIG. 1, step S3).
  • the blood vessel density measuring unit 30 is communicably connected to the image forming unit 20, the central processing unit (CPU) 60, and the memory 70 (see FIG. 15).
  • the blood vessel density measuring unit 30 is controlled by the central processing unit (CPU) 60, and the blood vessel density information obtained by the blood vessel density measuring unit 30 can be stored in the memory 70.
  • the blood vessel density measuring unit 30 is an example of a blood vessel density measuring unit that constitutes a part of the stain attribute determination system according to the present invention.
  • the stain attribute determination unit 40 determines the attribute of the stain SS from the blood vessel density of the skin region (stain site) SA (see FIGS. 2 and 15). Specifically, the stain attribute determination unit 40 executes a part of the stain attribute determination method described above (FIG. 1, step S4).
  • the stain attribute determination unit 40 is communicably connected to the blood vessel density measurement unit 30, the central arithmetic processing unit (CPU) 60, and the memory 70 (see FIG. 15).
  • the stain attribute determination unit 40 is controlled by the central processing unit (CPU) 60, and the determination result information obtained by the stain attribute determination unit 40 can be stored in the memory 70.
  • the stain attribute determination unit 40 is an example of a stain attribute determination unit that constitutes a part of the stain attribute determination system according to the present invention.
  • the information output unit 50 is an interface that can output the information of the determination result in the stain attribute determination unit 40 to the outside of the stain attribute determination system 1 (see FIG. 15).
  • the information output unit 50 is communicably connected to the stain attribute determination unit 40, the central processing unit (CPU) 60, and the memory 70 (see FIG. 15).
  • the information output unit 50 is controlled by a central processing unit (CPU) 60.
  • the information output unit 50 may directly output the information of the determination result in the stain attribute determination unit 40, or may read the information of the determination result stored in the memory 70 from the memory 70 and output it. Further, the information output unit 50 may output various information of the subject, image data of the skin region (stain site) SA, and blood vessel density information in addition to the determination result of the stain attribute determination unit 40.
  • a display device capable of wired or wireless communication may be connected to the information output unit 50.
  • the display device include a display such as a personal computer when the information output unit 50 and the display device are connected by wire.
  • a display of a general-purpose mobile terminal such as a smartphone can be mentioned.
  • the central processing unit (CPU) 60 is a processor that controls an information input unit 10, an image forming unit 20, a blood vessel density measuring unit 30, a stain attribute determination unit 40, an information output unit 50, and a memory 70 (see FIG. 15). .. As described above, the central processing unit numerical value (CPU) 60 is connected to the information input unit 10, the image forming unit 20, the blood vessel density measuring unit 30, the stain attribute determination unit 40, the information output unit 50, and the memory 70 (as described above. (See FIG. 15).
  • the memory 70 contains various information (subject information, image data of skin area (stain site) SA, blood vessel density, correlation coefficient between blood vessel density and melanin value ratio, correlation coefficient between blood vessel density and brightness ratio). , Other information such as determination results) is stored (see FIG. 15). As described above, the memory 70 is connected to the information input unit 10, the image forming unit 20, the blood vessel density measuring unit 30, the stain attribute determination unit 40, the information output unit 50, and the central processing unit (CPU) 60 (the central processing unit (CPU) 60). (See FIG. 15). In the example shown in FIG. 15, the memory 70 is arranged independently of the central processing unit numerical value (CPU) 60, but the present embodiment is not limited to this configuration, and the memory 70 is centrally processed. It may be arranged inside the processing numerical value (CPU) 60.
  • the image IM used for image analysis is preferably a blood flow image BF of the skin region SA from the viewpoint of determining the stain attribute with high accuracy.
  • the stain attribute is determined from the blood vessel density measured by the image analysis of the blood flow image BF of the defined skin region SA (FIG. 1, steps S1 to S4).
  • the stain attribute determination system 1 of the embodiment is substantially a system that executes the stain attribute determination method of the present embodiment described above. That is, in the present embodiment, the skin region SA containing the spot SS can be defined, the blood vessel density of the skin region SA can be measured, and the attribute of the spot SS can be determined from the blood vessel density (see FIGS. 1 and 2). ..
  • the properties and characteristics of the spot SA can be determined only by measuring the blood vessel density of the skin region SA, so that the spot attributes such as the presence or absence of a therapeutic effect on the spot SA can be predicted in advance. can do. Therefore, according to the present embodiment, it is possible to easily evaluate the stain SS before performing a treatment such as phototherapy.
  • the stain attribute can be determined with higher accuracy by determining the stain attribute from the blood vessel density measured by the image analysis of the blood flow image BF of the skin region SA.
  • FIG. 16 is a flowchart showing an example of the algorithm of the blood vessel density estimation method according to the present invention.
  • FIG. 17 is a diagram showing a cross section of a skin region (normal portion) having a reference epidermis thickness
  • FIG. 18 is a diagram showing a cross section of a skin region including a spot portion and a normal portion.
  • the parts common to those in FIGS. 1 and 2 may be designated by the same or corresponding reference numerals and the description thereof may be omitted.
  • the skin region to be measured may be a skin region of a spot portion (a skin region containing a spot) or a skin region whose presence or absence is unknown in advance.
  • the skin regions to be measured are, for example, the skin regions SA1 and SA2 (FIGS. 17 and 18).
  • the skin area SA1 is a normal part (not a spot part) of the skin area, and is composed of epidermis EM1 and dermis DM1.
  • the epidermis EM1 of the skin region SA1 has a thickness (epidermis thickness) ET1.
  • the epidermis thickness ET1 of the epidermis EM1 in the skin region SA1 (normal site) corresponds to the reference epidermis thickness described later.
  • blood vessels BV1 are densely packed in the dermis DM1 of the skin region SA1.
  • the skin area SA2 is the skin area of the spot site, and is composed of the epidermis EM2 and the dermis DM2.
  • the epidermis EM1 of the skin region SA1 has a thickness (epidermis thickness) ET2.
  • the epidermis thickness ET2 of the skin region SA2 (stain site) is thicker than the epidermis thickness ET1 (reference epidermis thickness) of the skin region SA1 (normal region).
  • blood vessels BV2 are densely packed in the dermis DM2 of the skin region SA2.
  • the blood vessel BV2 in the skin region SA2 has a higher density of blood vessels than the dermis DM1 in the skin region SA1.
  • the epidermis thicknesses ET1 and ET2 of the defined skin areas SA1 and SA2 are measured (see FIG. 16, step S22, and FIG. 17).
  • the epidermis thicknesses ET1 and ET2 of the skin regions SA1 and SA2 are measured by image analysis of each image of the skin regions SA1 and SA2.
  • a method of visualizing the skin region can be used as described above (see FIG. 3).
  • the images to be image-analyzed are the images of the epidermis EM1 and EM2 of the skin regions SA1 and SA2. That is, the locations of the skin regions SA1 and SA2 from which the image used for the image analysis is acquired are the epidermis EM1 and EM2 of the skin regions SA1 and SA2.
  • each image of the skin regions SA1 and SA2 is obtained from the depth (skin thickness EM1, EM2) from the surface of the skin regions SA1 and SA2, for example, in the range of 50 ⁇ m or more and 600 ⁇ m or less. It is an image (three-dimensional image IM3e), preferably an image (three-dimensional image IM3d) obtained from a range of 50 ⁇ m or more and 300 ⁇ m or less, more preferably 50 ⁇ m or more and 200 ⁇ m or less (see FIG. 5).
  • the range in which the depth from the surface of the skin regions SA1 and SA2 is 50 ⁇ m or more and 600 ⁇ m or less corresponds substantially to the range including the epidermis EM1 and EM2 and the dermis DM1 and DM2, and the range of 50 ⁇ m or more and 400 ⁇ m or less corresponds to the epidermis EM1 and EM1.
  • the range including EM2 and a part of the dermis DM1 and DM2 is substantially corresponding, and the range of 300 ⁇ m or more and 200 ⁇ m or less is substantially corresponding to a part of the dermis DM1 and DM2.
  • the ratio of the measured epidermis thickness to the predetermined reference epidermis thickness is calculated as the epidermis thickness ratio (see FIG. 16, step S23, and FIG. 17).
  • the predetermined reference epidermis thickness indicates the epidermis thickness of the skin region of the normal portion determined in advance.
  • the epidermis thickness ratio is indicated by MT / ST when a predetermined reference epidermis thickness is ST and the measured epidermis thickness is MT.
  • the epidermis thickness ratio MT / ST When the epidermis thickness ratio MT / ST is larger than 1, it indicates that the measured epidermis thickness of the skin area is thicker than the epidermis thickness of the skin area of the normal part. When the epidermis thickness ratio MT / ST is 1, it indicates that the measured skin area is equivalent to the epidermis thickness of the normal part.
  • the epidermis thickness of the epidermis EM1 in the skin region SA1 can be measured in advance, and the obtained epidermis thickness ET1 can be used as a predetermined reference epidermis thickness. Further, the epidermis thickness ET2 of the epidermis EM2 in the skin region SA2 (spot portion) can be measured, and the obtained epidermis thickness ET2 can be used as the measured epidermis thickness.
  • the blood vessel density of the skin region is further estimated from the calculated epidermis thickness ratio MT / ST (see FIG. 16, step S24, and FIG. 17).
  • the degree of blood vessel density indicates the degree of density of blood vessels in the skin area.
  • Estimating the blood vessel density from the epidermis thickness ratio means measuring and knowing the blood vessel density based on the epidermis thickness ratio.
  • the blood vessel density can be calculated as follows, for example. First, the blood vessel density (reference blood vessel density) MD1 of the skin region SA1 (normal site) having a predetermined reference epidermis thickness and the skin region SA2 whose epidermis thickness was measured by measuring the blood vessel density adopted in the above-mentioned stain attribute determination method The blood vessel density MD2 is measured. Then, the ratio of the blood vessel density MD2 of the skin region SA2 to the predetermined reference blood vessel density MD1 (blood vessel density ratio MD2 / MD1) is calculated as the blood vessel density.
  • FIG. 19 is a diagram showing the correlation between the epidermis thickness ratio and the blood vessel density in the skin region.
  • the inventor has found that there is a correlation between the epidermis thickness ratio MT / ST (E * ) and the blood vessel density ratio MD2 / MD1 (Fig. 19).
  • the number of N in which the relationship between the epidermis thickness ratio MT / ST (E * ) and the blood vessel density ratio MD2 / MD1 was investigated is 25 (FIG. 19).
  • the attribute of the stain (spot attribute) generated in the skin area can be determined from the estimated blood vessel density.
  • determining the stain attribute from the blood vessel density indicates that the stain attribute is distinguished based on the blood vessel density.
  • the blood vessel density estimation method of this example can determine the attribute of spots from the calculated epidermis thickness ratio MT / ST (E *).
  • determining the stain attribute from the epidermis thickness ratio indicates that the stain attribute is distinguished based on the epidermis thickness ratio.
  • the skin region determined when calculating the epidermis thickness ratio is a spot portion (skin region containing the spot).
  • the mode for identifying the stain contained in the stain site is not limited.
  • the spots can be identified based on, for example, the brightness or color of the skin region SA2 containing the spots.
  • the attribute of the stain determined from the blood vessel density is not limited.
  • the stain attribute determined by the blood vessel density estimation method of this example for example, the effectiveness of laser treatment for the stain can be determined in the same manner as the above-mentioned stain attribute determination method.
  • the skin region SA2 corresponds to the skin region (stain site) SA whose melanin value Mb was measured by the above-mentioned stain attribute determination method (see FIG. 2).
  • the correlation coefficient between the epidermis thickness ratio E * and the melanin value ratio M * of the skin region (spot site) SA2 is calculated (FIG. 7, step S15).
  • the data obtained by measuring the epidermis thickness ratio E * and the melanin value ratio M * of the skin region (spot site) SA2 were plotted for 12 subjects of 11 subjects, and the correlation coefficient was 0.75. (See Fig. 20).
  • the skin region having a thick epidermis thickness ratio tends to have a high blood vessel density
  • the skin region having a thin epidermis thickness ratio tends to have a low blood vessel density.
  • the method for estimating the density of blood vessels in this example was obtained from such consideration, and the blood vessels in the skin region were obtained from the epidermal thickness ratio (the ratio of the measured epidermal thickness to the predetermined reference epidermal thickness) in the defined skin region.
  • the epidermal thickness ratio the ratio of the measured epidermal thickness to the predetermined reference epidermal thickness
  • the blood vessel density ratio (the ratio of the blood vessel density in the region to the predetermined reference blood vessel density) is adopted as the blood vessel density, so that the correlation between the epidermal thickness ratio in the skin region and the blood vessel density is correlated. Relationships can be derived. This makes it possible to obtain objective information about the density of blood vessels in the skin area.
  • the blood vessel density estimation method of this example more objective information on the blood vessel density of the skin region can be obtained by measuring the epidermis thickness by image analysis of the image of the skin region. Therefore, the blood vessel density can be estimated with high accuracy by calculating the epidermis thickness ratio from the epidermis thickness measured by image analysis of the image of the skin region.
  • the blood vessel density estimation method of this example more objective information about the epidermis thickness of the skin region can be obtained by image analysis of the epidermis image of the skin region. Therefore, the blood vessel density can be estimated with higher accuracy by calculating the epidermis thickness ratio from the epidermis thickness measured by image analysis of the epidermis thickness image of the skin region.
  • the blood vessel density estimation method of this example more objective information can be obtained about the epidermis thickness of the skin region by adopting a three-dimensional image as the image of the skin region. Therefore, by calculating the epidermis thickness ratio based on the epidermis thickness measured from the three-dimensional image of the skin region from the image analysis, the blood vessel density can be estimated with higher accuracy.
  • the epidermis thickness is measured by image analysis of an image obtained from a depth of 50 ⁇ m or more and 600 ⁇ m or less from the surface of the skin region, so that the epidermis thickness of the skin region is leaked. No information can be obtained. Therefore, by calculating the epidermis thickness ratio based on the epidermis thickness measured by image analysis of the image obtained from the part of the skin region where the depth from the surface of the skin region is in such a range, the epidermis thickness ratio can be calculated with higher accuracy.
  • the density of blood vessels can be estimated.
  • the method for estimating the density of blood vessels in this example whether the skin region is a normal part or not by simply measuring the epidermis thickness of the skin region by determining the attribute of the spots generated in the skin region from the estimated density of blood vessels. You can tell if it is a spot. This makes it possible to predict whether the skin region, which is an unknown spot or a spot, is a normal spot or a spot. Therefore, according to the method for estimating the density of blood vessels in this example, it is possible to determine in advance whether or not the skin area is suitable for performing a treatment such as phototherapy.
  • the skin area containing the spot is defined, the epidermis thickness of the defined skin area is measured, and the attribute of the spot is determined from the calculated epidermis thickness ratio. And features can be identified. This makes it possible to predict in advance the stain attributes such as the presence or absence of a therapeutic effect on the stain site. Therefore, according to the method for estimating the density of blood vessels in this example, it is possible to easily evaluate the stain before performing a treatment such as phototherapy.
  • the stain attribute can be determined with high accuracy.
  • the effectiveness of laser treatment for spots is determined as an attribute of spots, and the effect of laser treatment on spots is determined only by measuring the blood vessel density in the skin area. It can be predicted in advance. Therefore, according to the present embodiment, it is possible to more easily evaluate the stain before performing the laser treatment on the stain portion.
  • FIG. 21 is a block diagram showing an embodiment of the blood vessel density estimation system according to the present invention.
  • the parts common to FIG. 15 may be designated by the same or corresponding reference numerals and the description thereof may be omitted.
  • the blood vessel density estimation system 100 includes an information input unit 110, an image formation unit 120, an epidermis thickness measurement unit 131, an epidermis thickness ratio calculation unit 132, a blood vessel density estimation unit 133, a stain attribute determination unit 140, and information. It has an output unit 150, a central processing unit numerical value (CPU) 160, and a memory 170 (FIG. 21).
  • the blood vessel density estimation system 100 is an example of the blood vessel density estimation system according to the present invention, and the blood vessel density estimation method according to the present invention can be executed.
  • the information input unit 110 can input various information of the subject (for example, identification number, gender, age, position of normal part, position of spot part, etc.) (FIG. 21).
  • the image forming unit 120 forms images (images IM2, IM3, etc.) of the skin area SA1 (normal part) and the skin area SA2 (spot part) (see FIGS. 2, 4, and 5). Specifically, the image forming unit 120 executes a part of the above-described blood vessel density estimation method (FIG. 16, step S21) to determine each skin region (skin regions SA1 and SA2).
  • the image forming unit 120 is communicably connected to the information input unit 110, the skin thickness measuring unit 131, the central processing unit numerical value (CPU) 160, and the memory 170 (FIG. 21).
  • the image forming unit 120 is controlled by the central processing unit (CPU) 160, and the image data obtained by the image forming unit 120 can be stored in the memory 70.
  • the image forming unit 120 is an example of an image forming unit that constitutes a part of the stain attribute determination system according to the present invention.
  • the epidermis thickness measuring unit 131 measures the epidermis thicknesses ET1 and ET2 of the skin region from the image IM3 of each skin region (skin region SA1 and SA2) (FIGS. 16 to 18). Specifically, the skin thickness measuring unit 131 executes a part of the above-mentioned stain attribute determination method (FIG. 16, step S22).
  • the skin thickness measuring unit 131 is communicably connected to the image forming unit 120, the skin thickness ratio calculation unit 132, the central processing unit (CPU) 160, and the memory 170 (FIG. 21).
  • the skin thickness measuring unit 131 is controlled by the central processing unit numerical value (CPU) 160, and the skin thickness information obtained by the skin thickness measuring unit 131 can be stored in the memory 70.
  • the epidermis thickness measuring unit 131 is an example of an epidermis thickness measuring unit that constitutes a part of the blood vessel density estimation system according to the present invention.
  • the epidermis thickness ratio calculation unit 132 calculates the ratio of the measured skin region SA2 epidermis thickness ET2 (skin thickness ratio ET2 / ET1 (E * )) to the epidermis thickness ET1 (predetermined reference epidermis thickness) of the skin region SA1 (FIG. 16 to 18). Specifically, the epidermis thickness ratio calculation unit 132 executes a part of the above-mentioned blood vessel density estimation method (FIG. 16, step S23).
  • the epidermis thickness ratio calculation unit 132 is communicably connected to the epidermis thickness measurement unit 131, the blood vessel density estimation unit 133, the central processing unit (CPU) 160, and the memory 170 (FIG. 21).
  • the skin thickness ratio calculation unit 132 is controlled by the central processing unit (CPU) 160, and the skin thickness ratio information obtained by the skin thickness ratio calculation unit 132 can be stored in the memory 170.
  • the epidermis thickness ratio calculation unit 132 is an example of an epidermis thickness ratio calculation unit that constitutes a part of the blood vessel density estimation system according to the present invention.
  • the blood vessel density estimation unit 133 estimates the blood vessel density of the skin region SA2 from the calculated epidermis thickness ratio ET2 / ET1 (E * ) (FIGS. 16 to 18). Specifically, the blood vessel density estimation unit 133 executes a part of the above-mentioned blood vessel density estimation method (FIG. 16, step S24).
  • the blood vessel density estimation unit 133 is communicably connected to the epidermis thickness ratio calculation unit 132, the stain attribute determination unit 140, the central processing unit (CPU) 160, and the memory 170 (FIG. 21).
  • the blood vessel density estimation unit 133 is controlled by the central processing unit (CPU) 160, and the blood vessel density information obtained by the blood vessel density estimation unit 133 can be stored in the memory 170.
  • the blood vessel density estimation unit 133 is an example of a blood vessel density estimation unit that constitutes a part of the blood vessel density estimation system according to the present invention.
  • the spot attribute determination unit 140 determines the attribute of the spot generated in the skin region SA2 from the estimated blood vessel density (see FIGS. 17 to 19). Specifically, the spot attribute determination unit 140 executes a part of the above-mentioned stain attribute determination method (determination of the stain attribute generated in the skin region).
  • the stain attribute determination unit 140 is communicably connected to the blood vessel density estimation unit 133, the central processing unit (CPU) 160, and the memory 170 (FIG. 21).
  • the stain attribute determination unit 140 is controlled by the central processing unit (CPU) 160, and the determination result information obtained by the stain attribute determination unit 140 can be stored in the memory 170.
  • the stain attribute determination unit 140 is an example of the stain attribute determination unit that constitutes a part of the blood vessel density estimation system according to the present invention.
  • the information output unit 150 outputs information such as various information of the subject, image data of the skin area (normal part, spot part), reference epidermis thickness, reference blood vessel density, etc., in addition to the determination result in the stain attribute determination unit 40. Can be done.
  • the central processing unit numerical value (CPU) 160 controls an information input unit 110, an image forming unit 120, an epidermis thickness ratio calculation unit 132, a blood vessel density estimation unit 133, a stain attribute determination unit 140, an information output unit 150, and a memory 170.
  • the central processing unit (CPU) 160 includes an information input unit 110, an image forming unit 120, an epidermis thickness ratio calculation unit 132, a blood vessel density estimation unit 133, a stain attribute determination unit 140, and an information output unit 150. It is connected to the memory 70 (FIG. 21).
  • the memory 170 contains various information (subject information, position of normal part, position of spot part, image data of skin area (normal part, spot part), epidermis thickness, epidermis thickness ratio, vascular density (vascular density). (Ratio), blood vessel density, correlation coefficient between epidermis thickness ratio and vascular density, correlation coefficient between epidermis thickness ratio and melanin value ratio, and other information such as determination results) are stored (FIG. 21).
  • the memory 170 includes an information input unit 110, an image forming unit 120, an epidermis thickness ratio calculation unit 132, a blood vessel density estimation unit 133, a stain attribute determination unit 140, an information output unit 150, and a central calculation processing numerical value (CPU). ) 160 (Fig. 21).
  • the memory 170 is arranged independently of the central processing unit numerical value (CPU) 160, but the present embodiment is not limited to this configuration, and the memory 170 is centrally processed. It may be arranged inside the processing numerical value (CPU) 160.
  • the blood vessel density estimation system 100 of the embodiment is a system that substantially executes the blood vessel density estimation method of the present embodiment described above. That is, in the vascular density estimation system 100 according to the present embodiment, the skin region is defined, the epidermis thickness of the defined skin region is measured, and the epidermis thickness ratio (the ratio of the measured epidermis thickness to the predetermined reference epidermis thickness) is obtained. It can be calculated and the density of blood vessels in the skin region can be estimated from the calculated epidermis thickness ratio (see FIGS. 16 to 18).
  • the nature and characteristics of the skin region can be determined only by measuring the epidermis thickness of the skin region.
  • the attribute of the stain generated in the skin region can be determined from the estimated blood vessel density (see FIGS. 16 to 20).

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Abstract

L'invention concerne un procédé de détermination d'attributs de décoloration, ledit procédé comprenant la délimitation d'une région cutanée comprenant une décoloration, la mesure de la densité vasculaire de la région et la détermination d'attributs de la décoloration à partir de la densité vasculaire.
PCT/JP2020/041557 2019-11-08 2020-11-06 Procédé de détermination d'attributs de décoloration, système de détermination d'attributs de décoloration, procédé d'estimation de la densité vasculaire et système d'estimation de la densité vasculaire Ceased WO2021090917A1 (fr)

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CN202080073428.2A CN114585296A (zh) 2019-11-08 2020-11-06 色斑属性判定方法、色斑属性判定系统、血管密集度估计方法、及血管密集度估计系统
JP2024230797A JP2025031989A (ja) 2019-11-08 2024-12-26 シミ属性判定方法、血管密集度推定方法、及び血管密集度推定システム

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