Tibial plateau fracture panoramic visual operation system
A tibial plateau and surgical system technology, applied in the fields of surgery, medical science, image enhancement, etc., can solve the problems of reduction operation at the collapsed bone, bone loss, inability to accurately grasp the depth of channel excavation, etc., and achieve the effect of making up for the limited visual field.
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Embodiment 1
[0033] see Figure 1 to Figure 2 As shown, a panoramic visualization operation system for tibial plateau fractures includes: a mirror body 1, an image acquisition part 2, an optical fiber 3, a flushing channel 4, a drainage channel 5, a signal transmission line 6, a central control assembly 7, and a terminal adapter 8;
[0034] The inside of the mirror body 1 is provided with an image acquisition part 2 near the head end, the image acquisition part 2 is connected with the signal transmission line 6 through the optical fiber 3 and the optical fiber 3 is arranged in the mirror body 1; the mirror body 1 is provided with a flushing channel symmetrically up and down. 4 and drainage channel 5, the water inlet of the irrigation channel 4 is connected to the irrigation equipment, which can rinse the blood stains at the fracture site of the tibial plateau in the joint, and then connect the drainage device at the opening of the drainage channel 5 to discharge the irrigation waste liquid ...
Embodiment 2
[0039] After the image acquisition of the affected part of the tibial plateau fracture is performed by the device in the embodiment, the image is processed by the image preprocessing module and the image depth processing module integrated in the central control assembly, wherein the image preprocessing method includes the following steps:
[0040] S1: Image digital processing: Sampling: A pixel sample set is formed by collecting image pixels. According to the Nyquist theorem, the image sampling frequency is greater than or equal to twice the highest frequency component of the source image; Quantization: Determine The numerical range is used to represent each point after the image is sampled and the image is quantized; an image obtained by sampling and quantization is a finite number of pixels with discrete distribution in space, and an image with a finite number of discrete possible values in gray value. , that is, to obtain a digital image;
[0041] S2: Image normalization ...
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