GRACE: A Visual Comparison Framework for Integrated Spatial and Non-Spatial Geriatric Data
GRACE: A Visual Comparison Framework for Integrated Spatial and Non-Spatial Geriatric Data
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DOI：
10.1109/tvcg.2013.161
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发表时间：
2013-12-01
影响因子：
5.2
通讯作者：
Marai, G. Elisabeta
中科院分区：
文献类型：
--
作者：
Maries, Adrian;Mays, Nathan;Marai, G. Elisabeta
我们提出了一个新的框架设计的视觉整合，比较和探索空间和非空间老年研究数据的相关性。这些数据通常是高维的，并且通过磁共振成像体积跨越空间、体积域，以及通过年龄、性别或步行速度等变量跨越非空间域。可视化分析框架融合了医学成像、数学分析和交互式可视化技术，并包括稀疏偏最小二乘法和迭代Tikhonov正则化算法的适应性，以量化潜在的神经学-移动性连接。一个专门面向交互式视觉比较的链接视图设计集成了空间和抽象的视觉表示，使用户能够有效地生成和细化假设在一个大的，多维的，分散的空间。除了域分析和设计描述，我们证明了这种方法的实用性的两个案例研究。最后，我们报告的经验教训，通过迭代设计和评估我们的方法，特别是那些相关的空间和非空间数据的比较可视化的设计。
We present the design of a novel framework for the visual integration, comparison, and exploration of correlations in spatial and non-spatial geriatric research data. These data are in general high-dimensional and span both the spatial, volumetric domain through magnetic resonance imaging volumes - and the non-spatial domain, through variables such as age, gender, or walking speed. The visual analysis framework blends medical imaging, mathematical analysis and interactive visualization techniques, and includes the adaptation of Sparse Partial Least Squares and iterated Tikhonov Regularization algorithms to quantify potential neurology-mobility connections. A linked-view design geared specifically at interactive visual comparison integrates spatial and abstract visual representations to enable the users to effectively generate and refine hypotheses in a large, multidimensional, and fragmented space. In addition to the domain analysis and design description, we demonstrate the usefulness of this approach on two case studies. Last, we report the lessons learned through the iterative design and evaluation of our approach, in particular those relevant to the design of comparative visualization of spatial and non-spatial data.