Imaging Cardiac Metabolism

Taegtmeyer, Heinrich; Dilsizian, Vasken

doi:10.1007/978-1-4614-5551-6_8

Cited by 7 publications

(1 citation statement)

References 32 publications

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“…Images cover most of the scales relevant to cardiac modelling, from subcellular structures ( Iribe et al., 2009 ) to whole organs ( Pope et al., 2008; Trayanova, 2011 ). Images have moved from characterizing static structures to providing dynamic measures of function ( Townsend, 2008 ), including electrophysiology, mechanics and blood flow, and modern techniques even probe different aspects of metabolic activity ( Taegtmeyer and Dilsizian, 2013 ). Image analysis methods, allowing the combination of images from multiple subjects, are gradually enabling the transition from individual to population studies ( Young and Frangi, 2009 ).…”

Section: Introductionmentioning

confidence: 99%

Images as drivers of progress in cardiac computational modelling

Lamata

Casero

Carapella

et al. 2014

Progress in Biophysics and Molecular Biology

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Computational models have become a fundamental tool in cardiac research. Models are evolving to cover multiple scales and physical mechanisms. They are moving towards mechanistic descriptions of personalised structure and function, including effects of natural variability. These developments are underpinned to a large extent by advances in imaging technologies. This article reviews how novel imaging technologies, or the innovative use and extension of established ones, integrate with computational models and drive novel insights into cardiac biophysics. In terms of structural characterization, we discuss how imaging is allowing a wide range of scales to be considered, from cellular levels to whole organs. We analyse how the evolution from structural to functional imaging is opening new avenues for computational models, and in this respect we review methods for measurement of electrical activity, mechanics and flow. Finally, we consider ways in which combined imaging and modelling research is likely to continue advancing cardiac research, and identify some of the main challenges that remain to be solved.

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