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Starviewer and its comparison with other open-source DICOM viewers using a novel hierarchical evaluation framework.
International Journal of Medical Informatics ( IF 3.7 ) Pub Date : 2020-02-11 , DOI: 10.1016/j.ijmedinf.2020.104098
Marc Ruiz 1 , Adrià Julià 1 , Imma Boada 1
Affiliation  

METHODS The aim of the paper is twofold. First, we present Starviewer, a DICOM viewer developed in C++ with a core component built on top of open-source libraries. The viewer supports extensions that implement functionalities and front-ends for specific use cases. Second, we propose an adaptable evaluation framework based on a set of criteria weighted according to user needs. The framework can consider different user profiles and allow criteria to be decomposed in subcriteria and grouped in more general categories making a multi-level hierarchical structure that can be analysed at different levels of detail to make scores interpretation more comprehensible. RESULTS Different examples to illustrate Starviewer functionalities and its extensions are presented. In addition, the proposed evaluation framework is used to compare Starviewer with four open-source viewers regarding their functionalities for daily clinical practice. In a range from 0 to 10, the final scores are: Horos (7.7), Starviewer (6.2), Weasis (6.0), Ginkgo CADx (4.1), and medInria (3.8). CONCLUSIONS Starviewer provides basic and advanced features for daily image diagnosis needs as well as a modular design that enables the development of custom extensions. The evaluation framework is useful to understand and prioritize new development goals, and can be easily adapted to express different needs by altering the weights. Moreover, it can be used as a complement to maturity models.

中文翻译:

使用新颖的分级评估框架,将Starviewer及其与其他开源DICOM观看者的比较。

方法本文的目的是双重的。首先,我们介绍Starviewer,这是一种用C ++开发的DICOM查看器,其核心组件基于开放源代码库构建。查看器支持实现特定用例的功能和前端的扩展。其次,我们根据一组根据用户需求加权的标准,提出了一个适应性强的评估框架。该框架可以考虑不同的用户配置文件,并允许将标准分解为子标准,并按更一般的类别进行分组,从而形成可以在不同详细级别进行分析的多层次层次结构,以使分数解释更易理解。结果给出了不同的示例来说明Starviewer的功能及其扩展。此外,建议的评估框架用于比较Starviewer和四个开源查看器在日常临床实践中的功能。最终得分在0到10之间,分别为:霍罗斯(7.7),Starviewer(6.2),Weasis(6.0),银杏CADx(4.1)和medInria(3.8)。结论Starviewer提供了日常图像诊断需求的基本和高级功能,以及能够开发自定义扩展的模块化设计。评估框架对于理解和确定新的开发目标的优先级很有用,并且可以通过更改权重轻松地调整以表达不同的需求。此外,它可以用作成熟度模型的补充。银杏CADx(4.1)和medInria(3.8)。结论Starviewer提供了日常图像诊断需求的基本和高级功能,以及能够开发自定义扩展的模块化设计。评估框架对于理解和确定新的开发目标的优先级很有用,并且可以通过更改权重轻松地调整以表达不同的需求。此外,它可以用作成熟度模型的补充。银杏CADx(4.1)和medInria(3.8)。结论Starviewer提供了日常图像诊断需求的基本和高级功能,以及能够开发自定义扩展的模块化设计。评估框架对于理解和确定新的开发目标的优先级很有用,并且可以通过更改权重轻松地调整以表达不同的需求。此外,它可以用作成熟度模型的补充。
更新日期:2020-02-11
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