Muscle Deformation Using Position Based Dynamics

Kohout, Josef; Cervenka, Martin

doi:10.1007/978-3-030-72379-8_24

Cited by 2 publications

(1 citation statement)

References 35 publications

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“…Experts are chiefly interested in understanding the shape deformation that skeletal muscle undergoes during contraction and relaxation [BHGG12]. Visualizations represent muscles at different degrees of abstraction to serve different objectives in a simulation, e.g., a single action line to show the axis of movement [NT98] or reconstructing and simulating a subset of muscle fibers that capture the overall shape of the muscle as it deforms [KK14; KČ20; RMS20]. Visual analysis approaches are often interested in quantifying muscle properties during contraction, such as muscle stiffness [SSG*10] or muscle speed in contraction [ANB*03].…”

Section: Organ Functionmentioning

confidence: 99%

Trends & Opportunities in Visualization for Physiology: A Multiscale Overview

Garrison

Kolesar²,

Viola

et al. 2022

Computer Graphics Forum

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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. CCS Concepts• Applied computing → Life and medical sciences; • Human-centered computing → Visualization;

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