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Cloud computing based adaptive remote medical image processing method and application system

A medical image and remote processing technology, applied in medical images, special data processing applications, computing, etc., can solve problems such as space affecting storage

Inactive Publication Date: 2018-11-16
BINZHOU UNIV
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Problems solved by technology

[0003] The present invention provides a cloud computing-based self-adaptive medical image remote processing method and application system to solve the problems in the prior art in the above-mentioned background technology. Since cloud computing image sharing is the entire cloud resource layer, a single server often retrieves image information. It will affect the storage space, so how to realize the problem of high transmission rate and high input and output rate of data storage under cloud computing mode

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  • Cloud computing based adaptive remote medical image processing method and application system
  • Cloud computing based adaptive remote medical image processing method and application system

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Embodiment

[0044] This embodiment: as figure 1 As shown, an adaptive medical image remote processing method based on cloud computing, including:

[0045] If the server side receives the file S105 sent by the corresponding workstation, it includes:

[0046] If the file is written into the distributed file system HDFSS106, then the node list of each block data of HDFS is reconstructed and the file is input into HDFSS107;

[0047] If the file is written into the storage area network FC-SANS108, the file is directly input into the FC-SANS109.

[0048] Because if the server receives the file sent by the corresponding workstation, including if the file is written into the distributed file system HDFS, the node list of each block data of HDFS will be reconstructed and the file will be input into HDFS, if the file is written into the storage area For the network FC-SAN, the files are directly input into FC-SAN. Since the image center needs to update the index table when faced with different file...

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Abstract

The invention relates to a cloud computing based adaptive remote medical image processing method and application system, and belongs to the technical field of remote image processing. A server receives a file from a corresponding workstation; if the file is written into a Hadoop distributed file system HDFS, the file is input to the HDFS after reconstruction of a node list of different block dataof the HDFS; and if the file is written into the storage area network FC-SAN, the file is input the FC-SAN directly. The problem that a single server tends to influence the storage space due to cloud-computing image sharing uses the whole cloud resource layer to retrieve image information can be solved, and via the method and system of the invention, data storage can achieve higher transmission rate and input / output rate in the cloud computing mode, big data image information can be retrieved, the safety vulnerabilities are fewer, and the practicality is high.

Description

technical field [0001] The invention belongs to the technical field of image remote processing, and in particular relates to a cloud computing-based adaptive medical image remote processing method. The invention also provides a cloud computing-based adaptive medical image remote processing application system. Background technique [0002] Cloud computing is the increase, use and delivery model of Internet-based related services, usually involving the provision of dynamically scalable and often virtualized resources through the Internet. Cloud is a metaphor for the network and the Internet. In the past, it was often used in the figure The cloud is used to represent the telecommunications network, and later also used to represent the abstraction of the Internet and the underlying infrastructure. Therefore, cloud computing can even allow you to experience 10 trillion operations per second. With such a powerful computing power, you can simulate nuclear explosions, predict Climat...

Claims

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Application Information

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IPC IPC(8): G16H30/20G06F17/30
CPCG16H30/20
Inventor 胡永生李建磊王海燕
Owner BINZHOU UNIV
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