Digital image capsule detection system based on excited luminescence imaging

Abstract

The invention discloses a digital image capsule detection system based on excited luminescence imaging. The digital image capsule detection system comprises a capsule system, an in vitro wireless energy supplying means and an in vitro image reception processing means, wherein the capsule system and the in vitro wireless energy supplying means and the in vitro image reception processing means are in wireless connection; the capsule system conducts real-time acquiring of fluorescence images of the inner wall of a digestive tract and converts the fluorescence images into digital image signals, and transmits to the outside of a body the digital image signals via wireless communication, and the in vitro image reception processing means receives and processes the digital image signals. The digital image capsule detection system of the invention, based on ultraviolet light rays of 365 nm, can effectively reduce the amount of data transmission of the capsule system and obtain images of higher quality by using the in vitro image reception processing means which has a much powerful processing capability, and can at the same time reduce the wireless energy consumption of the capsule system.

Description

technical field [0001] The invention relates to the technical field of endoscopes, in particular to a digital image capsule detection system based on excitation light imaging of 365nm ultraviolet light. Background technique [0002] The human digestive tract, especially the intestinal tract, is prone to diseases, but it is not easy to detect directly because of its special structure. The total length of the human intestine is more than 8 meters. Traditional gastroscopes and colonoscopes can only detect the part within one meter from both ends, and the rest cannot be detected. Clinically, the diagnosis of gastrointestinal diseases is often based on the patient's description and the doctor's experience, and there is a lack of effective detection methods. The characteristics of early digestive tract cancer are not obvious, and it is difficult for patients to detect it. It is often ignored and the best time for treatment is missed. Modern medical research shows that fluorescen...

AI Technical Summary

Problems solved by technology

However, the structure of the system is relatively complex, and it requires the auxiliary diagnosis of visible light images, and the workload of the microprocessor in the capsule is relatively large, which affects the further improvement of image quality.

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