Scalp analysis device and scalp analysis method

The scalp analysis device uses polarized blue and green light to accurately analyze vascular distribution within the scalp, addressing the need for effective hair health assessment and management.

WO2025084583A1PCT designated stage expired Publication Date: 2025-04-24KOREA ELECTROTECH RES INST

Patent Information

Application Number
PCT/KR2024/012382
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-10-17
Filing Date
2024-08-20
Publication Date
2025-04-24

AI Technical Summary

Technical Problem

Current technologies lack an effective method to accurately analyze the vascular state and distribution within the scalp, which is crucial for understanding hair health and managing hair loss.

Method used

A scalp analysis device and method utilizing a first light source emitting polarized blue and green light, combined with an image processing unit that separates and synthesizes images to analyze vascular distribution and condition in the scalp.

Benefits of technology

Enables accurate analysis of blood vessel distribution at various depths within the scalp, helping to identify potential hair health issues related to blood circulation and providing insights for improved scalp and hair care.

✦ Generated by Eureka AI based on patent content.

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Abstract

A scalp analysis device according to an embodiment of the present invention is a scalp analysis device for analyzing the distribution of blood vessels in the scalp, and comprises: a first light source; a first polarizer which is arranged between the scalp and the first light source and linearly polarizes light emitted from the first light source so that polarized light is irradiated to the scalp; an image sensor for detecting light incident from the scalp; a second polarizer which is disposed between the scalp and the image sensor and which is orthogonal to a polarization direction of the first polarizer; and an image processing part for processing an image detected by the image sensor, wherein the first light source emits light in which the maximum intensity in a blue region of 400 nm to 500 nm and the maximum intensity in a green region of 500 nm to 600 nm in a light emission spectral distribution each exceed 50% of the maximum intensity in the light emission spectral distribution.
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Description

Scalp analysis device and scalp analysis method

[0001] The present invention relates to a scalp analysis device and a scalp analysis method, and more particularly, to a scalp analysis device and a scalp analysis method capable of analyzing the state of blood vessels in the dermal layer of the scalp.

[0002] Hair loss is on the rise, not only due to physical or medical causes, but also due to excessive dieting, poor eating and lifestyle habits, and stress. Consequently, interest in scalp and hair health and care is also growing. Maintaining healthy, lustrous hair is paramount, and an accurate analysis of its condition is essential.

[0003] Hair loss can be caused by excessive secretion of male hormones, autonomic nervous system disorders, and excessive sebum secretion, but if blood circulation in the scalp and hair papilla is reduced or the nutrients needed to produce keratin are not sufficiently supplied, hair growth may be weakened, causing dandruff along with hair loss symptoms.

[0004] Figure 1 is a schematic cross-sectional view of the scalp. The scalp is composed of the stratum corneum, epidermis, and dermis from the surface, and capillaries are located at various depths within the dermis.

[0005] Hair, composed of keratin protein, is produced and grows through cell division and proliferation of hair follicle cells located within the hair papilla. Hair follicles are surrounded by a network of capillaries, which supply them with the energy essential for hair growth, survival, and cell regeneration.

[0006] Hair loss has many causes, so poor blood circulation alone doesn't guarantee the occurrence of hair loss. However, most people with hair loss have circulatory problems. Circulatory problems are often interpreted as a symptom rather than the primary cause of hair loss. However, poor circulation can impede energy metabolism in hair roots, accelerating hair loss.

[0007] The depth of hair follicles varies slightly from person to person, but in general, Westerners have follicles that form at an average depth of about 3 mm, and Asians at 4-5 mm. It is known that when the transplanted hair is securely connected to blood vessels during hair transplantation, cell regeneration and wound healing are promoted, increasing the survival rate of the transplanted hair. In addition, in cases where hair loss treatments using medications such as minoxidil or injections expand narrowed capillaries rather than hormone-suppressing hair loss treatments, it is known that they can have effects such as promoting blood circulation, extending the hair growth period, and thickening the hair.

[0008] Therefore, it is necessary to accurately understand the blood vessel distribution and condition of the scalp for scalp and hair care.

[0009] The problem to be solved by the present invention is to provide a scalp analysis device and scalp analysis method capable of analyzing the distribution and condition of blood vessels in the scalp.

[0010] According to one embodiment of the present invention, a scalp analysis device for analyzing blood vessel distribution in a scalp comprises: a first light source; a first polarizer disposed between a scalp and the first light source and linearly polarizing light emitted from the first light source so that polarized light is irradiated to the scalp; an image sensor detecting light incident from the scalp; a second polarizer disposed between the scalp and the image sensor and orthogonal to a polarization direction of the first polarizer; and an image processing unit for processing an image detected by the image sensor, wherein the first light source emits light in which a maximum intensity in a blue region of 400 nm to 500 nm and a maximum intensity in a green region of 500 nm to 600 nm in an emission spectrum distribution each exceed 50% of the maximum intensity in the emission spectrum distribution.

[0011] In one embodiment, the first light source can emit light having a maximum intensity within a blue region of 400 nm to 500 nm and a maximum intensity within a green region of 500 nm to 600 nm in an emission spectrum distribution that is higher than a maximum intensity within a red region of 600 nm to 700 nm.

[0012] In one embodiment, the first light source can emit cool white light having a color temperature of 5000K or greater.

[0013] The scalp analysis device further includes a second light source that irradiates excitation light that excites endogenous fluorophores to the scalp; and an optical filter disposed between the scalp and the image sensor to block the excitation light, wherein the second light source emits light having a peak wavelength within a range of 360 nm to 410 nm, and the scalp analysis device can selectively use a white light mode in which the first light source is used and an excitation light mode in which the second light source is used.

[0014] The positions of the second polarizer and the optical filter aligned with the image sensor can be exchanged depending on the white light mode and the excitation light mode.

[0015] The above image processing unit can separate and extract a blue light image and a green light image from the cross-polarization image acquired in the white light mode.

[0016] The above image processing unit can separate and extract a green light image and a red light image from the fluorescence image acquired in the above excitation light mode.

[0017] The image processing unit can synthesize a cross-polarized image and a fluorescence image in various ways. For example, the image processing unit can synthesize a blue light image and a green light image extracted from a cross-polarized image and a green light image extracted from a fluorescence image.

[0018] Furthermore, the image processing unit can additionally synthesize a red light image extracted from the fluorescence image.

[0019] A scalp analysis method according to one embodiment of the present invention is a method for analyzing a blood vessel distribution in a scalp, comprising: linearly polarizing light emitted from a first light source and irradiating the light onto the scalp, detecting light polarized in a direction orthogonal to the linearly polarized light among light reflected from the scalp to obtain a cross-polarization image, and evaluating a health condition of the scalp using the cross-polarization image, wherein the first light source emits light in which a maximum intensity in a blue region and a maximum intensity in a green region of an emission spectrum distribution each exceed 50% of the maximum intensity in the emission spectrum distribution.

[0020] In one embodiment, the first light source can emit light having a maximum intensity in the blue region and a maximum intensity in the green region greater than a maximum intensity in the red region.

[0021] The above first light source can emit cool white light having a color temperature of 5000K or higher.

[0022] The above scalp analysis method may further include extracting a blue light image and a green light image by separating them from the cross-polarization image.

[0023] The above scalp analysis method may further include irradiating the scalp with excitation light having a peak wavelength in the range of 360 nm to 410 nm to detect autofluorescence emitted from the scalp to obtain a fluorescence image, and the health status of the scalp may be evaluated using the fluorescence image together with the cross-polarization image.

[0024] The above scalp analysis method may further include synthesizing the cross-polarized image and the fluorescent image.

[0025] According to one embodiment of the present invention, a scalp analysis device for analyzing blood vessel distribution in a scalp comprises: a first light source emitting light including blue light and green light; a first polarizer disposed between a scalp and the first light source and linearly polarizing light emitted from the first light source so that polarized light is irradiated to the scalp; a second polarizer disposed between the scalp and the image sensor and orthogonal to a polarization direction of the first polarizer; an image sensor detecting light incident from the scalp; a second light source irradiating the scalp with excitation light that excites an endogenous fluorophore; an optical filter disposed between the scalp and the image sensor and blocking the excitation light; and an image processing unit for processing an image detected by the image sensor, wherein a white light mode in which the first light source is used and an excitation light mode in which the second light source is used are selectively used.

[0026] According to embodiments of the present invention, a scalp analysis device and a scalp analysis method capable of analyzing the health status of blood vessels distributed at various depths within the scalp are provided.

[0027] Figure 1 is a schematic cross-sectional view showing the scalp.

[0028] Figure 2 is a schematic diagram illustrating a scalp analysis device according to one embodiment of the present invention.

[0029] Figure 3 is a graph showing the optical absorption coefficient of hemoglobin according to wavelength.

[0030] FIG. 4 is a schematic graph illustrating a white light source of a scalp analysis device according to one embodiment of the present invention.

[0031] FIG. 5 is a schematic graph illustrating an example of an excitation light source of a scalp analysis device according to one embodiment of the present invention.

[0032] FIG. 6 is a schematic graph illustrating an optical filter of a scalp analysis device according to one embodiment of the present invention.

[0033] FIG. 7 is a photograph showing a healthy scalp taken in white light mode of a scalp analysis device according to one embodiment of the present invention.

[0034] FIG. 8 is a photograph showing a healthy scalp taken in the excitation light mode of a scalp analysis device according to one embodiment of the present invention.

[0035] FIG. 9 is a photograph showing a healthy scalp taken in the excitation light mode of a scalp analysis device according to one embodiment of the present invention, and shows the scalp after spraying a vasodilator.

[0036] FIG. 10 is a photograph showing a scalp in a hair loss state taken in white light mode of a scalp analysis device according to one embodiment of the present invention.

[0037] FIG. 11 is a photograph showing a scalp in a hair loss state taken in the excitation light mode of a scalp analysis device according to one embodiment of the present invention.

[0038] FIG. 12 is a photograph showing a scalp in a hair loss state taken in the excitation light mode of a scalp analysis device according to one embodiment of the present invention.

[0039] FIG. 13 is a photograph showing a healthy scalp taken in the excitation light mode of a scalp analysis device according to one embodiment, and shows the scalp after spraying a vasodilator.

[0040] Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings. The embodiments introduced below are provided as examples to ensure that the spirit of the present invention can be sufficiently conveyed to those skilled in the art. Therefore, the present invention is not limited to the embodiments described below and may be embodied in other forms. Like reference numbers designate like elements throughout the specification.

[0041] Figure 2 is a schematic diagram illustrating a scalp analysis device according to one embodiment of the present invention.

[0042] The scalp analysis device according to the present embodiment can be used in a white light mode for obtaining a color image of the target area (70) and an excitation light mode for obtaining a fluorescent image, and the white light mode and the excitation light mode can be switched with each other.

[0043] First, referring to FIG. 2, a scalp analysis device according to one embodiment includes a first light source (11a) and a second light source (11b). Furthermore, the scalp analysis device may further include a first polarizer (13), an objective lens (15), a moving mechanism (20), a second polarizer (21), an optical filter (23), an image sensor (25), an image processing unit (40), and a display unit (50).

[0044] As illustrated in Figure 3, hemoglobin (Hb, HbO2) in blood has a relatively high light absorption coefficient in the blue and green regions. When light in the wavelength range where hemoglobin has a high light absorption coefficient is irradiated, hemoglobin absorbs the light, thus reducing the intensity of the light reflected from blood vessels. Therefore, blood vessels can be detected by irradiating light that is well absorbed by hemoglobin.

[0045] Meanwhile, blood vessels are distributed at various depths within the scalp's dermis. Light irradiated onto the skin penetrates into the skin at different depths depending on its wavelength. For example, red light can penetrate deep into the dermis, while blue or green light cannot. Blue light has a deeper penetration depth than green light.

[0046] The first light source (11a) emits light in a wavelength range absorbed by hemoglobin in blood, and also emits light including various wavelength ranges to detect blood vessels distributed at various depths. In particular, the first light source (11a) includes light in a blue region and light in a green region. For example, the first light source (11a) can emit light in which the maximum intensity in the blue region of 400 nm to 500 nm and the maximum intensity in the green region of 500 nm to 600 nm in the emission spectrum distribution each exceed 50% of the maximum intensity in the emission spectrum distribution. Furthermore, the first light source (11a) can emit light in which the maximum intensity in the blue region of 400 nm to 500 nm and the maximum intensity in the green region of 500 nm to 600 nm in the emission spectrum distribution are higher than the maximum intensity in the red region of 600 nm to 700 nm. For example, the first light source (11a) can emit cool white light having an emission spectrum as illustrated in Fig. 4. This cool white light can have a color temperature of at least 5000 K, further at least 6000 K, and further at least 7000 K.

[0047] In one embodiment, the first light source (11a) can emit white light, for example, by a combination of a blue LED and a green or yellow phosphor. The first light source (11a) need not necessarily be a white light source, and may also emit a mixed color light of blue and green light, for example, by a blue LED and a green LED. In this case, the blue LED can have a peak wavelength, for example, in the range of 410 nm to 460 nm, and the green LED can have a peak wavelength in the range of 530 nm to 570 nm, and thus, light having a high absorption coefficient by blood can be selectively emitted.

[0048] However, white light sources are not limited to LEDs. Discharge lamps, such as xenon lamps, can be used as white light sources, and optical filters can be combined with the light source as needed. In this case, the light passing through the optical filter includes sufficient intensity of blue and green light, as described above.

[0049] The second light source (11b) emits light (L2) to excite endogenous fluorophores contained in the skin. For example, the second light source (11b) may emit short-wavelength blue light having a peak wavelength within the range of 400 nm to 410 nm. The second light source (11b) may include a short-wavelength blue LED, and an example of the emission spectrum of light emitted from the short-wavelength blue LED is illustrated in FIG. 5.

[0050] The chemical composition of skin tissue can be identified by detecting autofluorescence generated by endogenous fluorophores. The wavelength of autofluorescence varies depending on the endogenous fluorophore component, and can be distinguished through color differences in the acquired image. When the excitation light is absorbed by components such as NADH or flavin, autofluorescence with a peak wavelength in the green region is generated, whereas when absorbed by components such as porphyrin, autofluorescence with a peak wavelength in the red region is generated. This autofluorescence with a peak wavelength in the green region is reabsorbed by the capillary network formed in the dermal layer. Therefore, capillaries can be detected using the green light of autofluorescence.

[0051] The blue and green components contained in the first light source (11a) have limitations in detecting the distribution of capillaries located in the lower dermal layer due to their limited skin penetration depth. To address this, by utilizing the autofluorescence of endogenous fluorophores excited by the second light source (11b), blood vessels located deeper than the light component of the first light source (11a) can be detected.

[0052] Additionally, normal sebaceous glands generally do not fluoresce, but inflamed sebum-filled hair follicles fluoresce bright white, excess sebum fluoresces red, and sebum with an imbalanced pH fluoresces yellow or green, so analyzing sebum color can be used to assess the health and cleanliness of the scalp sebaceous glands.

[0053] The first polarizer (13) linearly polarizes the light emitted from the first light source (11a). Polarized light (L1) is irradiated to the scalp (70) by the first polarizer (13). The polarized light includes a blue light component and a green light component. A portion of the polarized incident light (L1) is regularly reflected from the surface of the scalp (70), and another portion enters the interior of the scalp (70) and is reflected and absorbed therein. The light regularly reflected from the surface of the scalp (70) has the same polarization direction as the incident light (L1), and the light reflected from the interior of the scalp (70) has a random polarization direction due to scattering.

[0054] The objective lens (15) focuses light from the scalp (70) onto an image sensor (25). A typical CCD or CMOS image sensor can be used as the image sensor. The image sensor includes a plurality of pixels capable of detecting blue light, green light, and red light.

[0055] The second polarizer (21) is placed between the scalp (70) and the image sensor (25). The second polarizer (21) blocks or transmits light depending on the polarization direction of the light reflected from the scalp (70). The second polarizer (21) has a cross polarization direction orthogonal to the first polarizer (13). Therefore, light (L1) incident and regularly reflected from the scalp (70) is blocked by the second polarizer (21), and light reflected from inside the scalp (70) that has a polarization direction crossing the polarization direction of the light (L1) transmits through the second polarizer (21) and is detected by the image sensor (25).

[0056] The optical filter (23) may be, for example, a long-wavelength transmission filter or a bandpass filter having a cut-off wavelength on the short-wavelength side in the visible light range, as illustrated in FIG. 6 . The cut-off wavelength may be longer than the excitation wavelength of the light source, for example, 410 nm or longer. Furthermore, the cut-off wavelength may be 500 nm or shorter so as not to block green light caused by autofluorescence. For example, the cut-off wavelength may be approximately 450 nm. In this case, the optical filter (23) may transmit visible light of approximately 450 nm or longer, and block visible light and ultraviolet rays of approximately 450 nm or shorter.

[0057] The optical filter (23) may be, for example, an interference filter in which high-refractive-index material layers and low-refractive-index material layers are alternately laminated, but is not limited thereto, and may also be an inorganic or organic absorption filter.

[0058] The moving mechanism (20) can move in a horizontal direction to exchange the positions of the second polarizer (21) and the optical filter (23). In white light mode, the second polarizer (21) can be aligned with the image sensor (25), and in the excitation light mode, the optical filter (23) can be aligned with the image sensor (25). The moving mechanism (20) can be configured in various ways, for example, the positions of the second polarizer (21) and the optical filter (23) can be changed through a rotational motion or a reciprocating motion.

[0059] The image sensor (25) detects cross-polarized light in white light mode and fluorescence in excitation light mode. In white light mode, the image sensor (25) detects light reflected from inside the scalp (70) by blue light components and green light components emitted from the first light source (11a). The image detected by the image sensor (25) in white light mode includes information about blood vessels distributed at various depths within the dermal layer by the blue light components and green light components.

[0060] Meanwhile, because there is a limit to the depth at which blue and green light components penetrate into the scalp, there is a limit to detecting capillaries at the bottom of the dermis layer.

[0061] In the excitation mode, the image sensor (25) detects autofluorescence emitted by endogenous fluorophores within the scalp (70). In particular, green autofluorescence and red autofluorescence can be detected.

[0062] The image processing unit (40) processes the signal detected by the image sensor (25) in the white light mode and the excitation light mode. In the white light mode, the image processing unit (40) obtains a cross-polarized image detected by the image sensor (25). The image processing unit (40) can separate and extract an image by blue light, an image by green light, and an image by red light from the cross-polarized image. In particular, the image processing unit (40) can separate the image by blue light and the image by green light to extract information on blood vessel distribution at different depths. For example, the image processing unit (40) can extract information on blood vessels distributed at relatively shallow locations within the scalp (70) from the image by blue light, and can extract information on blood vessels distributed at relatively deep locations from the image by green light.

[0063] In the excitation light mode, the image processing unit (40) acquires a fluorescence image detected by the image sensor (25). The image processing unit (40) can extract blood vessel distribution information by separating a green light image from the fluorescence image. In addition, the image processing unit (40) can also extract specific fluorescence expressed from sebum, etc.

[0064] Furthermore, the image processing unit (40) can represent the blood vessel distribution by variously synthesizing the image acquired in the white light mode and the image acquired in the excitation light mode.

[0065] For example, the image processing unit (40) can overlap blood vessel distribution information by a green light image extracted in an excitation mode with a cross-polarized image acquired in a white light mode. In addition, the image processing unit (40) can overlap specific expression fluorescence information with blood vessel distribution information by a green light image extracted in an excitation mode with a cross-polarized image acquired in a white light mode. In addition, the image processing unit (40) can overlap blood vessel distribution information by depth by a blue light image and a green light image extracted in a white light mode with a green light image extracted in an excitation mode.

[0066] The image processing unit (40) can comprehensively analyze white light cross-polarization images, fluorescence images, blood vessel distribution information, and specific expression fluorescence information to evaluate the scalp health status.

[0067] Meanwhile, the display unit (50) can display an image signal processed by the image processing unit (40). The display unit (50) can display various images, such as a cross-polarized image captured by the image sensor (25) in white light mode, images of various colors extracted from the cross-polarized image, a fluorescent image captured in the excitation light mode, and a composite image of the cross-polarized image and the fluorescent image.

[0068] (Experimental example)

[0069] A scalp analysis device manufactured as a prototype was used to analyze healthy and bald scalps. A cool white LED was used as the first light source (11a), and a short-wavelength blue LED with a peak wavelength of approximately 400 nm was used as the excitation light. A long-wavelength transmission filter with a cut-off wavelength of approximately 450 nm was used as the optical filter (23) used in the excitation light mode.

[0070] FIGS. 7 to 9 show images of a healthy scalp, and FIGS. 10 to 13 show images of a scalp in a hair loss state. In each drawing, (a) shows an image captured by an image sensor (25), (b) shows a blue light image extracted from (a), (c) shows a green light image extracted from (a), and (d) shows a red light image extracted from (a). Meanwhile, FIGS. 7 and 10 show images acquired in white light mode, and FIGS. 8, 9, and 11 to 13 show images acquired in excitation light mode. The scalp area shown in each image has a size of approximately 5.2 mm × 3.9 mm.

[0071] Figure 7(a) is a scalp image acquired using cross-polarization, in which blood vessels distributed at various depths are observed. Meanwhile, blood vessels distributed at different depths can be separated and observed from the blue light image of Figure 7(b) and the green light image of Figure 7(c), extracted from this image. Because blood vessels have a low absorption coefficient for red light, few blood vessels are observed in the red light image of Figure 7(d).

[0072] Figure 8(a) is a scalp image acquired using autofluorescence in the excitation light mode, and capillaries are observed deeper than those observed in the white light mode, particularly near the hair follicles. The green light image of Figure 8(c), extracted from this image, shows blood vessels at various depths, and the capillaries near the hair follicles are particularly clearly observed. On the other hand, since the autofluorescence intensity of blue light is relatively very low, the blue light image of Figure 8(b) appears dark. On the other hand, bright areas are observed in the red light image of Figure 8(c) due to red autofluorescence from sebum, etc.

[0073] Figure 9(a) is an autofluorescence image of the scalp obtained after spraying minoxidil on the scalp. More blood vessels are observed due to vasodilation. In particular, the blood vessels are more clearly observed in the green light image of Figure 9(c).

[0074] Figure 10(a) is an image of a scalp in a bald state obtained using cross-polarization. Compared to the healthy scalp image of Figure 7(a), it can be confirmed that the distribution of blood vessels is significantly smaller. In the blue light image of Figure 7(b) and the green light image of Figure 7(c), extracted from this image, significantly fewer blood vessels are observed.

[0075] Fig. 11(a) is an image of a scalp in a hair loss state obtained using autofluorescence in the excitation light mode. Compared to the healthy scalp image of Fig. 8(a), it can be confirmed that the distribution of blood vessels is considerably smaller. In the green light image of Fig. 11(c), extracted from this image, capillaries near the hair follicles are observed, but the size of the capillary network is considerably small.

[0076] Figures 12 and 13 are scalp images acquired using autofluorescence before and after spraying minoxidil onto the scalp, respectively. In the scalp image in the hair loss state, the vascular distribution is observed more clearly due to vasodilation. In particular, when comparing the green light images of Figures 12(c) and 13(c), the vascular image appears more clearly due to vasodilation. The change in vascular distribution observed due to vasodilation is observed to be greater in the scalp images in the hair loss state of Figures 12 and 13 than in the healthy scalp images in Figures 8 and 9.

[0077] Although various embodiments of the present invention have been described above, the present invention is not limited to the various embodiments and features described above, and various modifications and changes are possible within a scope that does not depart from the technical idea according to the claims of the present invention.

[0078] (Explanation of symbols)

[0079] 11a: first light source, 11b: second light source, 13: first polarizer, 15: objective lens, 20: moving mechanism, 21: second polarizer, 23: optical filter, 25: image sensor, 40: image processing unit, 50: ㅍ display unit, L1: polarized light, L2: excitation light

Claims

1. In a scalp analysis device for analyzing blood vessel distribution in the scalp, First light source; A first polarizer disposed between the scalp and the first light source and linearly polarizing light emitted from the first light source so that polarized light is irradiated to the scalp; An image sensor that detects light incident from the scalp; a second polarizer disposed between the scalp and the image sensor and orthogonal to the polarization direction of the first polarizer; and Including an image processing unit that processes an image detected by the image sensor, A scalp analysis device in which the first light source emits light to the first polarizer, the maximum intensity of which in the blue region of 400 nm to 500 nm and the maximum intensity of which in the green region of 500 nm to 600 nm in the emission spectrum distribution each exceed 50% of the maximum intensity in the emission spectrum distribution.

2. In claim 1, A scalp analysis device wherein the first light source emits light having a maximum intensity within a blue region of 400 nm to 500 nm and a maximum intensity within a green region of 500 nm to 600 nm in an emission spectrum distribution that is higher than a maximum intensity within a red region of 600 nm to 700 nm.

3. In claim 1, A scalp analysis device wherein the first light source emits cool white light having a color temperature of 5000K or higher.

4. In claim 1, A second light source that irradiates the scalp with excitation light that excites endogenous fluorophores; and Further comprising an optical filter disposed between the scalp and the image sensor to block the excitation light, The second light source emits light having a peak wavelength within a range of 360 nm to 410 nm, A scalp analysis device that selectively uses a white light mode in which the first light source is used and an excitation light mode in which the second light source is used.

5. In claim 4, A scalp analysis device in which the second polarizer and the optical filter are aligned with the image sensor in different positions depending on the white light mode and the excitation light mode.

6. In claim 4, The image processing unit is a scalp analysis device that separates and extracts a blue light image and a green light image from a cross-polarization image acquired in the white light mode.

7. In claim 6, The image processing unit is a scalp analysis device that separates and extracts a green light image and a red light image from the fluorescence image acquired in the excitation light mode.

8. In claim 7, The above image processing unit is a scalp analysis device that synthesizes a blue light image and a green light image extracted from a cross-polarized image and a green light image extracted from a fluorescence image.

9. In claim 8, The above image processing unit is a scalp analysis device that additionally synthesizes a red light image extracted from a fluorescence image.

10. A method for analyzing the distribution of blood vessels in the scalp, comprising: linearly polarizing light emitted from a first light source and irradiating the scalp; detecting light polarized in a direction orthogonal to the linearly polarized light among the light reflected from the scalp; and obtaining a cross-polarization image. Including evaluating the health status of the scalp using the above cross-polarization image, A scalp analysis method wherein the first light source emits light in which the maximum intensity in the blue region and the maximum intensity in the green region of the emission spectrum distribution each exceed 50% of the maximum intensity within the emission spectrum distribution.

11. In claim 10, A scalp analysis method wherein the first light source emits light having a maximum intensity in the blue region and a maximum intensity in the green region greater than a maximum intensity in the red region.

12. In claim 10, A scalp analysis method wherein the first light source emits cool white light having a color temperature of 5000K or higher.

13. In claim 10, A scalp analysis method further comprising separating and extracting a blue light image and a green light image from the cross-polarization image.

14. In claim 10, Further comprising irradiating the scalp with excitation light having a peak wavelength within a range of 360 nm to 410 nm to detect autofluorescence emitted from the scalp to obtain a fluorescence image. A scalp analysis method for evaluating the health status of the scalp using the fluorescent image together with the cross-polarized image.

15. In claim 14, A scalp analysis method further comprising synthesizing the cross-polarized image and the fluorescent image.

16. In a scalp analysis device for analyzing blood vessel distribution in the scalp, A first light source emitting light including blue light and green light; A first polarizer disposed between the scalp and the first light source and linearly polarizing light emitted from the first light source so that polarized light is irradiated to the scalp; A second polarizer disposed between the scalp and the image sensor, the second polarizer being orthogonal to the polarization direction of the first polarizer; An image sensor that detects light incident from the scalp; A second light source that irradiates the scalp with excitation light that excites endogenous fluorophores; An optical filter placed between the scalp and the image sensor to block the excitation light; and Including an image processing unit that processes an image detected by the image sensor, A scalp analysis device that selectively uses a white light mode in which the first light source is used and an excitation light mode in which the second light source is used.

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