Skin type identification method and system based on multi-wavelength photoacoustic spectrum

Abstract

The invention relates to a skin type identification method and system based on a multi-wavelength photoacoustic spectrum. The method comprises the steps of obtaining a photoacoustic time domain signal of skin, carrying out the power spectrum analysis and integration processing, obtaining photoacoustic quantization spectrum parameters under different wavelengths, training a support vector machine model based on the photoacoustic quantization spectrum parameters under different wavelengths, and inputting the photoacoustic quantization spectrum parameters of the to-be-identified skin, which represent the content of the characteristic molecules in the skin tissues, into the support vector machine model to obtain the skin type of the to-be-identified skin. Compared with the prior art, the method has the advantages that the recognition time can be saved through machine learning, and the skin tissue type can be recognized more objectively, quantitatively and accurately through the photoacoustic spectrum characteristic parameters under multiple wavelengths.

Description

technical field [0001] The invention relates to the field of bio-ultrasonic identification, in particular to a skin type identification method and system based on multi-wavelength photoacoustic spectrum. Background technique [0002] Skin tumor is one of the most common tumors in humans, and its incidence is increasing year by year with the growth of population and population aging. At present, the identification of skin types is mostly based on appearance, which is prone to misdiagnosis or missed diagnosis. Biopsy remains the gold standard for identifying skin type; however, it is invasive and time-consuming, and excisional biopsy causes pain to the patient, damages surrounding skin tissue, and compromises cosmetic outcomes. [0003] Because photoacoustic technology is "light in and sound out", it combines the high sensitivity of optical imaging with the high resolution of ultrasonic imaging. Photoacoustic signals carry optical, thermodynamic, and microstructural informat...

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Problems solved by technology

[0004] In the prior art, for example, Chinese patent CN201910071235.2 discloses a cuttings type identification method and system based on photoacoustic spectrum integral signal. The method uses photoacoustic spectroscopy, but its solution is to identify the type of cuttings , involving different wavelengths, but does not mention the characteristic molecular changes in cuttings; and integrating all wavelengths, the specific molecular information is lost

In addition, Chinese patent CN201510935010 discloses a three-modal imaging system and method of ultrasonic photoacoustic photoacoustic spectroscopy. Although this method also performs multi-wavelength detection, it obtains a photoacoustic two-dimensional spectrum, which can only support intuitive and qualitative analysis of tissues. Analysis, unable to obtain quantitative information, objective and accurate identification of the organization

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