For reconstructing a freeform feature from point cloud, a deformation-based method is proposed in this paper. The freeform feature consists of a secondary surface and a blending surface. The secondary surface plays a ...For reconstructing a freeform feature from point cloud, a deformation-based method is proposed in this paper. The freeform feature consists of a secondary surface and a blending surface. The secondary surface plays a role in substituting a local region of a given primary surface. The blending surface acts as a bridge to smoothly connect the unchanged region of the primary surface with the secondary surface. The secondary surface is generated by surface deformation subjected to line constraints, i.e., character lines and limiting lines, not designed by conventional methods. The lines are used to represent the underlying informa-tion of the freeform feature in point cloud, where the character lines depict the feature’s shape, and the limiting lines determine its location and orientation. The configuration of the character lines and the extraction of the limiting lines are discussed in detail. The blending surface is designed by the traditional modeling method, whose intrinsic parameters are recovered from point cloud through a series of steps, namely, point cloud slicing, circle fitting and regression analysis. The proposed method is used not only to effectively and efficiently reconstruct the freeform feature, but also to modify it by manipulating the line constraints. Typical examples are given to verify our method.展开更多
Effective storage of healthcare information is the foundation of the rapid development of electronic health recorder （EHR）. This paper presents a research on the data model of EHR storage, focusing on solving the co...Effective storage of healthcare information is the foundation of the rapid development of electronic health recorder （EHR）. This paper presents a research on the data model of EHR storage, focusing on solving the complex and abstract information model and data types in HL7 V3（Health Level 7 Version 3.0） as well as HL7 localizing storage. Using health-care information exchange and sharing standards may settle the problem of interoperability between heterogeneous systems. HL7 is the most widely accepted and used standard. HL7 standardizes the information format in the process of transmission. Nevertheless, it can not guide the storage of health-care data directly. HL7 V3 developed an abstract information model-reference information model （RIM） and data types in it are complex. In this paper, we propose an approach on converting from the abstract HL7 V3 information model to the relational data model. Our approach resolves RIM＇s complex relationships and its data types and localizes the HL7 V3.展开更多
基金the National Natural Science Foundation of China (No. 50575098)China Postdoctoral Science Foundation
文摘For reconstructing a freeform feature from point cloud, a deformation-based method is proposed in this paper. The freeform feature consists of a secondary surface and a blending surface. The secondary surface plays a role in substituting a local region of a given primary surface. The blending surface acts as a bridge to smoothly connect the unchanged region of the primary surface with the secondary surface. The secondary surface is generated by surface deformation subjected to line constraints, i.e., character lines and limiting lines, not designed by conventional methods. The lines are used to represent the underlying informa-tion of the freeform feature in point cloud, where the character lines depict the feature’s shape, and the limiting lines determine its location and orientation. The configuration of the character lines and the extraction of the limiting lines are discussed in detail. The blending surface is designed by the traditional modeling method, whose intrinsic parameters are recovered from point cloud through a series of steps, namely, point cloud slicing, circle fitting and regression analysis. The proposed method is used not only to effectively and efficiently reconstruct the freeform feature, but also to modify it by manipulating the line constraints. Typical examples are given to verify our method.
基金supported by Dongguan City Medical and Health Research Project under Grant No. 200910515018Guangdong Provincial Department Cooperation Project under Grant No. 2009B090300362+1 种基金Sichuan Province Science & Technology Pillar Program under Grant No.2010SZ0062the Fundamental Research Funds for the Central Universities under Grant No. ZYGX2009X016
文摘Effective storage of healthcare information is the foundation of the rapid development of electronic health recorder （EHR）. This paper presents a research on the data model of EHR storage, focusing on solving the complex and abstract information model and data types in HL7 V3（Health Level 7 Version 3.0） as well as HL7 localizing storage. Using health-care information exchange and sharing standards may settle the problem of interoperability between heterogeneous systems. HL7 is the most widely accepted and used standard. HL7 standardizes the information format in the process of transmission. Nevertheless, it can not guide the storage of health-care data directly. HL7 V3 developed an abstract information model-reference information model （RIM） and data types in it are complex. In this paper, we propose an approach on converting from the abstract HL7 V3 information model to the relational data model. Our approach resolves RIM＇s complex relationships and its data types and localizes the HL7 V3.
