Combining elements of biology, chemistry, physics, and medicine, the science of human physiology is complex and multifaceted. In this report, we offer a broad and multiscale perspective on key developments and challenges in visualization for physiology. Our literature search process combined standard methods with a state-of-the-art visual analysis search tool to identify surveys and representative individual approaches for physiology. Our resulting taxonomy sorts literature on two levels. The first level categorizes literature according to organizational complexity and ranges from molecule to organ. A second level identifies any of three high-level visualization tasks within a given work: exploration, analysis, and communication. The findings of this report may be used by visualization researchers to understand the overarching trends, challenges, and opportunities in visualization for physiology and to provide a foundation for discussion and future research directions in this area.
Bibliographical noteKAUST Repository Item: Exported on 2022-09-14
Acknowledgements: This work was supported by the Visual Data Science for Large Scale Hypothesis Management in Imaging Biomarker Discovery (VIDI) funded by the University of Bergen and the Trond Mohn Foundation in Bergen (813558). Parts of this work have been done in the context of CEDAS, UiB's Center for Data Science. We are grateful as well to Juraj Pálenik, Bara Kozlíková, Bernhard Preim, Renate Grüner, and Eduard Gröller.
ASJC Scopus subject areas
- Computer Networks and Communications