基于特征的医学图像数据存储模型

当前医学图像文件因数据量大而难以存储、管理和查询。为此，提出一种基于特征的医学图像存储模型。将面向对象模型中的对象和消息机制与网状模型中的链状存储结构相结合，以图像本身及其特征为对象进行存储，从而实现图像信息的快速存储和查找。实验结果表明，该模型的存储效率高，查询速度快，具有较好的实用性及可扩展性。

Storage Model of Feature-based Medical Image Data

More and more medical image files are produced today, and they are difficult to storage, management and find. Aiming at this problem, this paper puts forward a feature-based medical image data storage model. The model is an object oriented-mesh mixed model, which combined the object oriented model of the object principles and message mechanisms with the chaining storage of mesh model, store the image itself and the features as an object, realized the image information fast storage and query. Experimental result indicates that the model storage efficiency, query speed and has good usability and scalability.