医学成像与智能分析教育部工程研究中心

发稿时间:2020-04-10浏览次数:40

医学成像与智能分析教育部工程研究中心依托东北大学建设,于2013年获教育部批准开始建设。中心现任主任是康雁教授,技术委员会主任是钱唯教授,现有固定人员28人,流动人员40人。

中心的主要研究方向是:(1)先进成像技术与方法,研究专门化CT(齿科CT和乳腺CT)、MicroCT、多能谱CT、荧光和X射线融合CT、车载CT、云CT等系统;研究和改进基于深度学习的迭代重建方法;研究各种CT几何校正、伪影消除和系统优化技术;研究先进的光谱成像、近红外光脑功能成像。(2)医疗影像云平台,研究开发医学影像处理与分析框架、大规模医学影像处理方法、医学影像处理算法组件库构建、医学影像资源案例组织模型,分布式医学影像资源访问协议等。(3)医疗影像大数据分析方法和面向重大疾病的计算机辅助诊断技术,开展乳腺癌筛查影像、肺癌影像与多种分子标记物的关联分析;研究CT肺部气道疾病的智能辅助技术,肺癌影像分析的智能辅助技。

中心现有科研、办公、实验用房1262平方米,建有CTMRI、超声、光谱成像、眼底成像、肺部影像分析、乳腺影像分析等十余个研究平台,现有齿科CTMicro-CT、超声成像系统、MRI成像系统、光谱仪、高性能影像服务器等二十余台仪器设备,能够满足先进医学成像系统构建和性能改进、医学影像云平台、各种智能分析方法和重大疾病智能分析技术的开发需求。

中心组建以来攻克了多项核心技术,正在申报发明专利20余项,已获授权专利8项,研制成功多能谱Micro-CT、医疗影像云等多个具有国际先进水平,填补国内(外)空白的重大技术装备,在医疗健康等领域的重大工程中应用推广,促进了健康卫生和信息技术行业科技进步和产业发展。

近年来取得的标志性研究成果主要有:车载可移动CT设备;多能谱CT原型系统;通过GATE软件模拟的PET系统以及荧光CT系统;设计云CT方案;与东软合作搭建影像云平台;一系列肺部CT影像智能分析方法、机器学习方法;不同表型的疾病(肺癌)预测模型。



Engineering Research Center of Medical Imaging and Intelligent Analysis,Ministry of Education

    Based on Northeastern University, Engineering Research Center of Medical Imaging and Intelligent Analysis, Ministry of Education, was approved in 2013. The director of this center is Prof. Yan Kang, and the director of academic/engineering committee is Prof. Wei Qian. There are 28 permanent staff and about 40 flexible staff in this center.

    The main research directions of this center include (1) Advanced imaging technology and methodology; (2) Cloud platform of medical imaging; (3) Intelligent analysis of medical imaging. In the first direction, the research focuses on the specialized CT (e.g., the dental CT, the breast CT), Micro-CT, multiple energy/spectral CT, Fusion CT of X-ray and fluorescence, CT based on Vehicle, Cloud CT; the deep learning based iterative reconstruction algorithm; the geometry correction, ghost reduction and system optimization; the advanced multiple spectrum imaging and the functional near-infrared spectroscopy imaging system (fNIRS). In the second direction, the works focus on the framework of medical imaging processing, the processing methods for large scale medical imaging, the component library of medical imaging processing algorithm, the imaging database, the distributed access protocol of medical images, etc. In the third direction, the computer aided diagnosis systems are developed for lung cancer, breast cancer; the accurate models for the diagnosis, response of therapy and prognosis prediction are constructed using artificial intelligent techniques.

    There is the working space of 1262 square meter for the research, experiment and administration. More than 30 research equipments and platforms are available, including CT, MRI, ultrasound scanner, camera of spectral imaging and fundus imaging, the platform of lung imaging analysis, and the platform of breast cancer imaging analysis. The equipments and platforms can help design and implement new medical imaging system, the cloud platform of medical imaging, and the analysis methods of artificial intelligence.

    Since 2013, the center has achieved many key techniques, received more 20 patents. The developed Micro-CT and the cloud of medical imaging have been located in the international frontiers, and applied in many hospitals.

    The symbolic achievements of research include: (1) the prototype of CT based on Vehicle; (2) the prototype of multiple energy/spectral CT; (3) The GATE simulation of the PET system and the fusion CT of X-ray and fluorescence; (4) The design of cloud CT; (4) a serial of intelligent analysis algorithms of CT lung images.