Literature DB >> 23367269

Distributed PACS using distributed file system with hierarchical meta data servers.

Tomoyuki Hiroyasu1, Yoshiyuki Minamitani, Mitsunori Miki, Hisatake Yokouchi, Masato Yoshimi.   

Abstract

In this research, we propose a new distributed PACS (Picture Archiving and Communication Systems) which is available to integrate several PACSs that exist in each medical institution. The conventional PACS controls DICOM file into one data-base. On the other hand, in the proposed system, DICOM file is separated into meta data and image data and those are stored individually. Using this mechanism, since file is not always accessed the entire data, some operations such as finding files, changing titles, and so on can be performed in high-speed. At the same time, as distributed file system is utilized, accessing image files can also achieve high-speed access and high fault tolerant. The introduced system has a more significant point. That is the simplicity to integrate several PACSs. In the proposed system, only the meta data servers are integrated and integrated system can be constructed. This system also has the scalability of file access with along to the number of file numbers and file sizes. On the other hand, because meta-data server is integrated, the meta data server is the weakness of this system. To solve this defect, hieratical meta data servers are introduced. Because of this mechanism, not only fault--tolerant ability is increased but scalability of file access is also increased. To discuss the proposed system, the prototype system using Gfarm was implemented. For evaluating the implemented system, file search operating time of Gfarm and NFS were compared.

Mesh:

Year:  2012        PMID: 23367269     DOI: 10.1109/EMBC.2012.6347334

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  1 in total

Review 1.  SmartWADO: an Extensible WADO Middleware for Regional Medical Image Sharing.

Authors:  Lijun Liu; Li Liu; Xiaodong Fu; Qingsong Huang; Yin Zhang; Qiaoyi Luo; Xin Xiong
Journal:  J Digit Imaging       Date:  2015-10       Impact factor: 4.056

  1 in total

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