Intelligent photodynamic therapy illumination system based on LED array
A technology of LED array and photodynamic therapy, which is applied in the field of optics and medical treatment, can solve problems such as energy waste, damage, and affecting treatment efficiency, and achieve the effect of improving accuracy and saving price
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Embodiment 1
[0022] like figure 1 As shown, the present invention provides an LED array-based intelligent photodynamic therapy lighting system, which mainly includes an image acquisition and processing analysis system 1 and a lighting system 2 . The image acquisition, processing and analysis system includes: a digital image acquisition module 3 and a computer 4 with digital image processing and analysis software. The lighting system includes: a single-chip microcomputer system 5 and an LED array 6 .
[0023] An LED array-based intelligent photodynamic therapy lighting system, the working process of the system is specifically:
[0024] Example 1:
[0025] 1. Image acquisition
[0026] like figure 1 , through the digital image acquisition module 3, image acquisition is performed on the patient's skin lesion area to obtain a skin lesion image with a scale. Subsequently, the collected images of skin lesions are input into the computer 4 for digital image processing.
[0027] Image Proces...
Embodiment 2
[0038] 1. Image acquisition
[0039] like figure 1 , through the digital image acquisition module 3, image acquisition is performed on the lesion area of the patient's subcutaneous tumor to obtain an image of the lesion area of the subcutaneous tumor with a scale. Subsequently, the collected lesion image of the subcutaneous tumor is input into the computer 4 for digital image processing.
[0040] 2. Image processing and analysis
[0041] like image 3 , using the computer software MATLAB to perform digital image processing on the collected images of subcutaneous tumor lesions.
[0042] (1) Define the image size. The relationship between the image pixels and the real size is defined according to the scale of the subcutaneous tumor lesion image, so as to define the actual size of the lesion area.
[0043] (2) Obtain the grayscale image 11. Convert the image into a grayscale image with black as the reference color through the grayscale conversion function (rgb2gray).
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