Medical picture fusion imaging colposcopy training system and picture reconstruction method

Abstract

The invention provides a medical picture fusion imaging colposcopy training system and a picture reconstruction method, the medical picture fusion imaging colposcopy training system comprises an information acquisition module, an image processing module, an information matching module and an information output module, the information acquisition module comprises a picture acquisition interface and a medical record input interface; the image processing module converts the two-dimensional microscopic image into a three-dimensional reconstruction image, and the three-dimensional reconstruction image is numbered and stored; the information matching module matches the medical record information with the three-dimensional reconstruction image; and the information output module outputs the corresponding three-dimensional reconstruction image and medical record information. According to the colposcope examination training system based on medical picture fusion imaging and the picture reconstruction method, the learning curve of the colposcope can be remarkably shortened, non-clinical learning of the colposcope is realized, the combination of images and cases is realized through the establishment of the picture library and the case library, and the learning of primary diagnosis and processing is directly performed; the method is helpful for a beginner to repeatedly learn in real time, and the learning skill can be quickly improved in a short time through learning of a large number of cases.

Description

technical field [0001] The invention relates to the medical field, in particular to a colposcopy training system and a picture reconstruction method for medical picture fusion imaging. Background technique [0002] Colposcopy refers to the use of special instruments such as colposcopes to directly observe the epithelial lesions of the vagina and cervix under the illumination of strong light sources. By magnifying the information of the vaginal epidermis by 6 to 20 times and transmitting images or taking pictures, the invisible vagina can be observed. And the smaller lesions of the cervix, at the same time through the storage, processing and display of the image to perform positioning biopsy in the suspicious part, to improve the diagnosis rate. [0003] The procedure for colposcopy is as follows: [0004] (1) The patient took the bladder lithotomy position, exposed the cervix and vagina with a vaginal speculum, wiped the cervical secretions with a saline cotton ball, and ob...

AI Technical Summary

Problems solved by technology

At present, the accumulation of beginners’ experience mainly relies on book learning and text descriptions of medical records. Some of them can be learned by taking pictures from previous medical records. The number of pictures is small, and the knowledge acquired through picture learning is limited and cannot cope with complicated actual situations.

In addition, most of the pictures are two-dimensional, which cannot intuitively display the actual information. At the same time, it is difficult for trainees to correspond the specific lesion parts with the actual pictures one by one.

[0013] At present, for young beginners, there is only a single means of instructing training on colposcopy. Usually, experienced operators need to use previous pictures and videos to teach by example. The training effect is poor, which is not conducive to usual medical training.

[0014] However, colposcopy is more and more widely used in the current society, and related products and technologies are changing rapidly. The training and learning methods of relevant knowledge are complicated and only suitable for small-scale use and not suitable for large-scale promotion; in addition, the current learning is difficult. Taking into account real-time, low cost and effectiveness, the accumulation of experience still requires traditional precepts and deeds, which reduces the effectiveness of learning; One-to-one correspondence cannot be established between medical records, which affects the effect of learning and training

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