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Design method of medical image cloud storage platform

A medical imaging and design method technology, applied in medical imaging, healthcare informatics, computing, etc., can solve the problem that HDFS is not suitable for storing small medical imaging files, and achieve the effect of reducing memory consumption and speeding up reading speed.

Active Publication Date: 2018-11-13
上海熙业信息科技有限公司
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Problems solved by technology

[0008] 1. How to solve the problem that HDFS is not suitable for storing small medical image files;

Method used

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  • Design method of medical image cloud storage platform
  • Design method of medical image cloud storage platform
  • Design method of medical image cloud storage platform

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Embodiment Construction

[0047] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings

[0048]In the existing medical image storage system based on HDFS, although there are many advantages, it is unavoidable that Hadoop itself was born for large files, and medical image files are typical small files. Common CT, MR The size of the image is about hundreds of KB. If the small files are directly stored in HDFS, the pressure on the NameNode node will rise sharply-it will take up more memory to store metadata; frequent writing and reading of medical image files will have a negative impact on NameNode poses a huge challenge, and processing a large number of small files at the same time means more MapReduce tasks, which will inevitably increase CPU overhead and reduce cluster operating efficiency. Therefore, without any optimization, the performance of applications in medical image storage Therefore, based on HDFS, the present invention...

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Abstract

The invention relates to a design method of a medical image cloud storage platform, and relates to a medical image storage technology. In order to solve a problem of how to quickly read small image files from a combined file and a problem that an HDFS is not suitable for storing small medical image files, the invention proposes to combine all image files in a plurality of inspection files into a large file which is close to 128MB, wherein the large file is named as an SData file. Before an inspection file is added to a file container, whether the sum of the current capacity of the file container and the size of the inspection file exceeds a threshold or not is judged, and a new file container will be built if the sum exceeds the threshold. Small file sets are combined into a plurality of SData files and then uploaded to the HDFS, and corresponding SD index files are stored in an index pool. The design method effectively reduces the memory consumption of small medical image files for the NameNode in the HDFS, thereby enabling the HDFS to be suitable for storing the small image files. In addition, an index, pre-fetching and caching mechanism is introduced, so that the reading speed of the files is effectively improved.

Description

technical field [0001] The invention relates to medical image storage technology. Background technique [0002] With the wide application of imaging equipment in clinical practice, medical imaging data is rapidly expanding, and regional medical imaging data has reached PB level, and the cost of using traditional storage architecture is extremely high. Most hospital PACS systems now use the "online-nearline-offline" storage mode. In this mode, the availability of offline data is very poor and cannot be obtained in real time. With the development of the mobile Internet, people have put forward new demands on the existing medical service model, and a high-performance, high-reliability mass image storage system will be the cornerstone of all these. [0003] state of the art [0004] There are many technologies that can effectively solve the problem of small file storage and access. These technologies can be divided into two categories, one is general solutions, the core idea ...

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Application Information

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IPC IPC(8): G16H30/20G06F17/30
CPCG16H30/20
Inventor 闫凤麒徐志坚陆明名
Owner 上海熙业信息科技有限公司
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