消化道胶囊内窥镜智能控制及病变识别的数学模型与算法

胶囊内窥镜是近年问世的一项可舒适完成消化道全程检查的创新医疗技术，如能解决以下技术难题未来有望取代传统的痛苦而高风险的胃肠镜检查：胶囊内窥镜每例检查产生超过5万张的巨量图片极大增加了阅片医生的工作量；胶囊内窥镜无法对消化道某些部位提供足够的覆盖及精确的位置信息，因而出现病变的漏检及解剖部位的误判。为解决以上问题，本课题拟依托高水平临床中心的大样本检查图片数据集，基于课题组前期积累的三维视觉解决方案、模型数据双驱动技术及病灶图像智能识别技术的基础上，通过数学方法提出创新数学模型以提升消化道检查覆盖率，通过创新算法减少检查中的无效与冗余信息以提升阅片效率，通过创新智能病灶与解剖部位识别技术以实现对病灶的智能识别与消化道解剖部位的准确定位，并整合以上创新技术构建新型智能胶囊内窥镜创新应用模式，实现在家中即可对胃肠道进行便捷的内窥镜影像智能自检，为胃肠重大疾病早诊防控提供创新解决方案。

Capsule endoscopy (CE) has been an innovative medical technology in recent years and the entire digestive tract examination can be comfortably performed with the application of CE. However, the traditional painful and high-risk gastrointestinal endoscopy cannot be replaced by CE at present. The reasons are as follows: firstly, each case of CE producing more than 50,000 pictures has greatly increased the workload of the reading doctor. Secondly, CE cannot provide enough coverage and accurate position information for certain parts of the digestive tract, which may give rise to missed lesions and the misjudgment of anatomical regions. In order to solve these problems, our project intends to rely on the large sample inspection image data set of the high-level clinical center and is based on the three-dimensional vision solution accumulated in the early stage of the research group, the dual-drive technology of model data and the intelligent recognition technology of lesion images. With the above foundations and supports, the coverage rate of digestive tract examinations would be improved through proposing innovative mathematical models, and the image reading efficiency improved by innovative algorithms would reduce invalid and redundant information during examinations. Moreover, intelligent identification of lesions and accurate positioning of the sited of digestive tract anatomy would be realized through innovative intelligent lesion and anatomical recognition technology. By integrating the above innovative technologies together, a new smart CE innovative application mode was built to realize the convenient intelligent self-examination of the gastrointestinal tract at home, which may provide innovative solutions for early diagnosis and control of major gastrointestinal diseases.