图像智能处理方法在中医中的应用与挑战  

Application and Challenges of Intelligent Image Processing in Traditional Chinese Medicine

作　　者：赵紫娟 强彦 赵涓涓 赵琛琦 王麒达 李硕 ZHAO Zijuan;QIANG Yan;ZHAO Juanjuan;ZHAO Chenqi;WANG Qida;LI Shuo(College of Information and Computer,Taiyuan University of Technology,Taiyuan 030024,China;Department of Medical Image and Medical Biophysics,Western University,London Ontario,N6A 3K7,Canada)

机构地区：[1]太原理工大学信息与计算机学院,太原030024 [2]加拿大西安大略大学医学影像和医学生物物理学系,加拿大安大略伦敦N6A 3K7

出　　处：《太原理工大学学报》2022年第3期405-419,共15页Journal of Taiyuan University of Technology

基　　金：国家自然科学基金资助项目(61872261);虚拟现实技术与系统国家重点实验室开放课题项目(VRLAB2020B06);细胞生理学教育部重点实验室开放基金资助项目(KLMEC/SXMU-201905);山西省重点研发计划项目(201903D321034)。

摘　　要：为了便于对图像处理技术在中医领域进行更加深入有效的探索和更加广泛的应用,系统描述了相关研究进展。首先,从图像处理技术的发展与应用出发,理清了该技术在中医图像处理领域的主要研究与应用方向,落脚于中医望诊、中药材鉴别以及数字经络三维重建3个模块,并对模块内各种研究子类进行总结,展示了传统方法与深度学习算法在中医图像处理领域的优缺点以及面临的问题和挑战。其次,总结了中医图像智能处理领域现阶段面临的主要问题,并对未来的研究方向做出了展望。基于计算机图像处理技术的中医智能图像处理与分析虽然取得了一系列有意义的研究成果,但还需要根据临床的实际需求,整理出一套统一的、标准的、标签完善的中医图像数据集,将人工智能与经典的数字图像处理算法多模态中医四诊数据结合起来,真正实现中医诊疗技术的信息化与智能化。In recent years,with the continuous development of artificial intelligence and machine vision technology,computer-assisted technology has increasingly affected the medical field,providing important support means for the development and promotion of informatization,digitization,and standardization of traditional Chinese medicine.In order to facilitate a further and effective exploration of the application of image processing technology in the field of traditional Chinese medicine,the relevant research progress is systematically reviewed.First of all,starting from the development and application of image processing technology,the main research and application directions of image processing technology in the field of image processing in Chinese medicine are clarified,and they are based on the three modules:traditional Chinese medicine inspection,identification of Chinese medicinal materials,and digital meridian three-dimensional re-construction and visualization.The various research sub-categories in the modules are summa-rized,and the advantages and disadvantages of traditional and deep learning algorithms in the field of TCM image processing are shown,as well as the problems and challenges they face.Sec-ond,the main problems facing by the field of TCM image intelligent processing at this stage is summarized,and an outlook on the future research direction is made.Although TCM intelligent image processing and analysis based on computer image processing technology have achieved a se-ries of meaningful research results,it is still necessary to sort out a unified,standard,and well-labeled TCM image dataset according to the actual clinical needs.Combining artificial intelligence with classic digital image processing algorithms and non-invasive and efficient multi-modal TCM four-diagnosis data,it truly realizes the informatization and intelligentization of TCM diagnosis and treatment technology.

关 键 词：医学图像处理 中医智能化 四诊标准化 中医望诊 中草药鉴别 经络模型可视化 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]