Imaging spectroscopy endoscope system

Abstract

The invention discloses an imaging spectroscopy endoscope system. The system adopts cooperation of a broadband light source and a filter to realize output of the tunable monochromatic light, and usesa camera to obtain a sequence of monochrome illumination images of an endoscope, since a gray value of a pixel is an intensity value of the wavelength corresponding to a spectral curve, a spectral image cube in the field of a view region can be constructed by the monochrome image sequence, the color image is synthesized according to the monochrome image sequence by an image fusion algorithm, the endoscope realizes the function of the imaging spectrum, and the pathology is analyzed by the combination of the characteristics of the image and the spectrum, so that accurate diagnosis and treatmentcan be realized.

Description

technical field [0001] The invention relates to imaging spectrum technology and endoscope diagnosis technology, in particular to an imaging spectrum endoscope system. Background technique [0002] With the rapid development of society, medical endoscopes are more and more widely used in clinical diagnosis and treatment. It has many advantages, such as small size and convenient operation, and can probe into the inside of the human body for observation. For medical endoscopes, the extensive application in clinical diagnosis and treatment has put forward a strong demand for the development of related technologies, and improving the accuracy of endoscopic diagnosis is the focus of its development. [0003] At present, in the field of endoscopic diagnosis, image features are still used as the only basis for diagnosis. However, for early major diseases, there are usually no obvious features on images, and there are still academic disputes about the image features of some diseases...

AI Technical Summary

Problems solved by technology

[0003] At present, in the field of endoscopic diagnosis, image features are still used as the only basis for diagnosis. However, for early major diseases, there are usually no obvious features on images, and there are still academic disputes about the image features of some diseases. This shows that image features Not able to achieve a complete characterization of the disease

For the early stage of the disease with inconspicuous image features, or two diseases with similar image features, due to insufficient information completeness, it will lead to missed diagnosis or misdiagnosis

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