Burn wound tissue activity evaluation system based on fluorescence development image

Abstract

The invention discloses a burn wound tissue activity evaluation system based on a fluorescence development image, and relates to the technical field of burn wound evaluation, the burn wound tissue activity evaluation system comprises a fluorescence development acquisition module, a development image processing module and a tissue activity evaluation module, the fluorescence development acquisition module is used for performing fluorescence development on a burn wound and acquiring a development image; the developing image processing module is used for obtaining fluorescence intensity change data of the anchoring pixel sites according to the fluorescence developing time sequence, and obtaining a statistical value of each anchoring pixel site according to the fluorescence intensity change data; and the tissue activity evaluation module is used for evaluating the tissue activity of each anchoring pixel site according to the statistical value. According to the method, the solidification area, the stasis area and the hyperemia area of the burn wound surface are distinguished through the peak value and the slope of the fluorescence intensity curve, so that necrotic tissues and interstitial tissues of the wound surface are accurately identified, and the accuracy of deep diagnosis of the burn wound surface is improved.

Description

technical field [0001] The invention relates to the technical field of burn wound assessment, in particular to a burn wound tissue activity assessment system based on fluorescence imaging images. Background technique [0002] The classic burn wound model divides the wound into three layers from superficial to deep: coagulation layer, stasis layer and hyperemia layer. The coagulation layer is the tissue that is clearly necrotic; the stasis layer is the tissue that is still alive but has microvascular embolism, also known as the inter-ecological tissue; the hyperemia layer is the tissue where the microvessels expand and inflammatory cells gather, which is the tissue basis for wound healing. These three levels change dynamically over time, especially within 72 hours after injury. The diagnosis, treatment and prognosis of burn wounds all depend on accurate depth judgment, which requires relatively accurate identification of the residual necrotic tissue and inter-ecological tiss...

AI Technical Summary

Problems solved by technology

However, static blood flow signal detection can only show the blood perfusion of the skin in the current state, and cannot fully reflect the "lack of effective blood perfusion" in the superficial skin tissue, especially when this "lack" is happening dynamically

That is, these techniques can only distinguish the current necrotic tissue from non-necrotic tissue, but have no ability to identify inter-ecological tissue

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