A Survey of DICOM Viewer Software to Integrate Clinical Research and Medical Imaging

A Survey of DICOM Viewer Software to Integrate Clinical Research and Medical Imaging
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DOI:
10.1007/s10278-015-9833-1
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发表时间:
2016-04-01
影响因子:
4.4
通讯作者:
Deserno, Thomas M.
Deserno, Thomas M.
中科院分区:
工程技术2区
文献类型:
--
作者:
Haak, Daniel;Page, Charles-E.;Deserno, Thomas M.

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医学数字成像和通信(DICOM)协议是医疗保健图像数据管理的领先标准。临床试验和医学登记中的成像生物标志物和基于图像的替代终点需要DICOM查看器软件,该软件具有高级可视化功能和集成界面。本文对28个DICOM查看器进行了综合评价。评价标准是从临床研究而不是患者护理的应用场景中获得的。它们包括(i)平台、(ii)接口、(iii)支撑、(iv)二维(2D)和(v)三维(3D)观看。平均而言,分别满足全部8个2D和5个3D图像观看标准中的4.48和1.43。GingkoCADx、MIPAV和OsiriX Lite提供了适合医院中央查看的DICOM接口。查看器ImageJ、MicroView、MIPAV和OsiriX Lite提供所有内置的3D渲染功能,以实现高级查看。Oviyam、Weasis和Xero提供了在基于Web的系统中进行分散查看所需的接口。MIPAV专注于开源组件,是3D成像和DICOM通信的最佳候选者。Weasis在临床试验工作流程优化方面具有上级优势。我们的评估表明,先进的可视化和合适的接口也可以在开源领域找到,而不仅仅是在商业产品中。
The digital imaging and communications in medicine (DICOM) protocol is the leading standard for image data management in healthcare. Imaging biomarkers and image-based surrogate endpoints in clinical trials and medical registries require DICOM viewer software with advanced functionality for visualization and interfaces for integration. In this paper, a comprehensive evaluation of 28 DICOM viewers is performed. The evaluation criteria are obtained from application scenarios in clinical research rather than patient care. They include (i) platform, (ii) interface, (iii) support, (iv) two-dimensional (2D), and (v) three-dimensional (3D) viewing. On the average, 4.48 and 1.43 of overall 8 2D and 5 3D image viewing criteria are satisfied, respectively. Suitable DICOM interfaces for central viewing in hospitals are provided by GingkoCADx, MIPAV, and OsiriX Lite. The viewers ImageJ, MicroView, MIPAV, and OsiriX Lite offer all included 3D-rendering features for advanced viewing. Interfaces needed for decentral viewing in web-based systems are offered by Oviyam, Weasis, and Xero. Focusing on open source components, MIPAV is the best candidate for 3D imaging as well as DICOM communication. Weasis is superior for workflow optimization in clinical trials. Our evaluation shows that advanced visualization and suitable interfaces can also be found in the open source field and not only in commercial products.