当前位置: X-MOL 学术Collection and Curation › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
DICOM-based medical image repository using DSpace
Collection and Curation ( IF 0.6 ) Pub Date : 2020-02-20 , DOI: 10.1108/cc-11-2019-0039
Hirak Jyoti Hazarika , Akash Handique , S. Ravikumar S. Ravikumar

PurposeThis paper aims to provide image repository to the medical professional in an open source platform, which will increase the visibility of Digital Imaging and Communication in Medicine (DICOM) image in a network mode; further, the proposed system will reduce the storage cost of the images to significant level.Design/methodology/approachThe authors have developed a new institutional repository model for the medical professionals cum radiologists to preserve, store and retrieve medical images from one database with the help of open source software. The authors used JavaScript programming to integrate and develop the DICOM Standard with DSpace.FindingsMajor outcome of this work is that DICOM images can be accommodated in DSpace without modifying the image properties and keeping intact the various dimensions of image viewing options. Further, it was found that the images are retrieved without any ease because of the robust indexing system.Research limitations/implicationsMajor limitation of this study was the size of the data (5000 DICOM image) with which the authors have tested the system. The scalability of the system has to be tested on various fronts, for which separate study has to be done.Practical implicationsOnce this system is in place, DICOM user can store, retrieve and access the image from Web platform. This proposed repository will be the storehouse of various DICOM images with reasonable storage costs.Originality/valueIn addition to exploring the opportunities of open source software (OSS) implementation in Medical Fields, this study includes issues related to implementation of open source repository for storing and preserving medical image. This is the first time in Library Science field to create and develop Open Source DICOM Medical Image Library with the help of DSpace. The study will create value for library professionals as well as medical professionals and OSS vendors to understand the medical market in the context of OSS.

中文翻译:

使用 DSpace 的基于 DICOM 的医学图像存储库

目的本文旨在为医学专业人士提供一个开源平台的图像存储库,以提高网络模式下医学数字成像和通信(DICOM)图像的可见性;此外,所提出的系统将图像的存储成本降低到显着水平。设计/方法/方法作者开发了一种新的机构存储库模型,供医疗专业人员和放射科医师使用,以在一个数据库的帮助下保存、存储和检索医学图像的开源软件。作者使用 JavaScript 编程将 DICOM 标准与 DSpace 集成和开发。这项工作的主要成果是 DICOM 图像可以容纳在 DSpace 中,而无需修改图像属性并保持图像查看选项的各个维度不变。更远,结果发现,由于强大的索引系统,可以轻松检索图像。研究限制/影响本研究的主要限制是作者测试系统的数据大小(5000 DICOM 图像)。系统的可扩展性需要在各个方面进行测试,需要单独研究。实际意义一旦该系统到位,DICOM用户就可以从Web平台存储、检索和访问图像。这个提议的存储库将是各种 DICOM 图像的仓库,具有合理的存储成本。原创性/价值除了探索在医学领域实施开源软件 (OSS) 的机会外,本研究还包括与实施开源存储库相关的问题,用于存储和保存医学影像。这是图书馆学领域第一次借助 DSpace 创建和开发开源 DICOM 医学图像库。该研究将为图书馆专业人员以及医疗专业人员和 OSS 供应商创造价值,以了解 OSS 环境下的医疗市场。
更新日期:2020-02-20
down
wechat
bug