Eidolon: Visualization and Computational Framework for Multi-Modal Biomedical Data Analysis
Résumé
Biomedical research, combining multi-modal image and geometry data, presents unique challenges for data visualization, processing , and quantitative analysis. Medical imaging provides rich information , from anatomical to deformation, but extracting this to a coherent picture across image modalities with preserved quality is not trivial. Addressing these challenges and integrating visualization with image and quantitative analysis results in Eidolon, a platform which can adapt to rapidly changing research workflows. In this paper we outline Eidolon, a software environment aimed at addressing these challenges, and discuss the novel integration of visualization and analysis components. These capabilities are demonstrated through the example of cardiac strain analysis , showing the Eidolon supports and enhances the workflow.
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