使用DSpace开发DICOM标准模式

IF 0.6 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE Collection and Curation Pub Date : 2021-08-10 DOI:10.1108/cc-05-2021-0015
Hirak Jyoti Hazarika, S. Ravikumar, A. Handique
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引用次数: 0

摘要

本文旨在提出一种新的基于dspace的医学图像存储系统,该系统明确规划用于使用医学数字成像和通信(DICOM)元数据标准存储和检索临床图像。DSpace机构存储库软件广泛应用于学术环境中,主要用于访问和存储与文本相关的文件。DICOM映像是嵌入许多系统生成的元数据并使用DICOM元数据标准组织的特殊类型的映像。设计/方法/途径本文讨论了DICOM映像归档中的机构存储库软件(DSpace)。在当前的研究中,作者尝试将DICOM元数据标准与DSpace集成,DSpace兼容都柏林核心(DC)和开放档案倡议-元数据收集协议(OAI-PMH)。将DICOM标准与DSpace结合起来,并使用5000个图像样本测试存储库,使用各种DICOM标签的检索结果非常令人满意。本研究为使用开源软件(OSS)存储和检索医学图像奠定了基础。作者在第一阶段提供了识别DICOM (.dcm)文件的DSpace软件。在第二阶段,开发了一个补丁来识别Dspace中的DICOM元数据标准,Dspace内置了DC元数据标准。最后,在第三阶段,使用DICOM标签对一幅5000 .dcm的图像进行检索效率测试,结果非常有效。研究限制/启示本研究的一个主要限制是作者用来测试系统的数据(5000张DICOM图像)的大小。系统的可扩展性必须在不同的方面进行测试,比如在云和具有不同配置的本地服务器上,为此必须进行单独的研究。实际意义一旦该系统就位,DICOM用户就可以从Web平台存储、检索和访问图像。此外,这个建议的存储库将是各种DICOM映像的仓库,具有合理的存储成本。原创性/价值除了探索自由开源软件(FOSS)在医学科学中的实施机会之外,本研究还包括与用于检索和保存医学图像的开源存储库的性能相关的问题。在DSpace的帮助下,创建并开发了基于DICOM元数据标准的开源DICOM医学图像库。因此,本研究将为图书馆专业人员、医疗专业人员和自由/开源软件供应商了解自由/开源软件背景下的医疗市场产生价值。
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Developed DICOM standard schema with DSpace
Purpose This paper aims to present a novel DSpace-based medical image repository system planned explicitly for storing and retrieving clinical images using digital imaging and communication in medicine (DICOM) metadata standards. DSpace institutional repository software is widely used in an academic environment for accessing and mainly storing text-related files. DICOM images are particular types of images embedded with much system-generated metadata and organised using DICOM metadata standards. Design/methodology/approach The present paper talks about institutional repository software (DSpace) in archiving DICOM images. In the current study, the authors have tried to integrate the DICOM metadata standard with DSpace, which was compatible with Dublin Core (DC) and open archives initiative – protocol for metadata harvesting (OAI-PMH). After combining the DICOM standard with DSpace and the repository tested with a sample of 5,000 images, the retrieval results using various DICOM tags was very satisfactory. This study paves for the use of open source software (OSS) in storing and retrieving medical images. Findings The author has provided the DSpace software to recognised DICOM (.dcm) files in the first stage. In the second stage, a patch was developed to identify the DICOM metadata standard in Dspace, which has inbuilt DC metadata standards. Finally, in the third stage, retrieval efficiency was tested with a 5,000 .dcm image using the DICOM tag and the results were very fruitful. Research limitations/implications A major limitation of this study was the size of the data (5,000 DICOM images) with which the authors have tested the system. The system scalability has to be tested on various fronts like on cloud and local servers with different configurations, for which a separate study has to be done. Practical implications Once this system is in place, DICOM users can stock, retrieve and access the image from the Web platform. Furthermore, this proposed repository will be the warehouse of various DICOM images with reasonable storage costs. Originality/value In addition to exploring the opportunities of free open source software (FOSS) implementation in medical science, this study includes issues related to the performance of an open-source repository for retrieving and preserving medical images. It created and developed Open Source DICOM Medical Image Library with DICOM metadata standard with the help of DSpace. Thus, the study will generate value for library professionals and medical professionals and FOSS vendors to understand the medical market in the context of FOSS.
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Collection and Curation
Collection and Curation INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
1.70
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0.00%
发文量
8
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