Simulating mechanical wave propagation within the framework of phase-field modelling

2021 ◽  
Vol 381 ◽  
pp. 113842
Author(s):  
Xiaoying Liu ◽  
Daniel Schneider ◽  
Simon Daubner ◽  
Britta Nestler
2018 ◽  
Vol 13 ◽  
pp. 781-786 ◽  
Author(s):  
Zhengkun Liu ◽  
Julian Roggel ◽  
Daniel Juhre

2021 ◽  
Vol 119 (17) ◽  
pp. 171905
Author(s):  
Kamalnath Kadirvel ◽  
Zachary Kloenne ◽  
Jacob K. Jensen ◽  
Hamish Fraser ◽  
Yunzhi Wang

2021 ◽  
Vol 118 (45) ◽  
pp. e2103979118
Author(s):  
Çağla Özsoy ◽  
Ali Özbek ◽  
Michael Reiss ◽  
Xosé Luís Deán-Ben ◽  
Daniel Razansky

Propagation of electromechanical waves in excitable heart muscles follows complex spatiotemporal patterns holding the key to understanding life-threatening arrhythmias and other cardiac conditions. Accurate volumetric mapping of cardiac wave propagation is currently hampered by fast heart motion, particularly in small model organisms. Here we demonstrate that ultrafast four-dimensional imaging of cardiac mechanical wave propagation in entire beating murine heart can be accomplished by sparse optoacoustic sensing with high contrast, ∼115-µm spatial and submillisecond temporal resolution. We extract accurate dispersion and phase velocity maps of the cardiac waves and reveal vortex-like patterns associated with mechanical phase singularities that occur during arrhythmic events induced via burst ventricular electric stimulation. The newly introduced cardiac mapping approach is a bold step toward deciphering the complex mechanisms underlying cardiac arrhythmias and enabling precise therapeutic interventions.


2021 ◽  
Author(s):  
Nikolas Provatas ◽  
Tatu Pinomaa ◽  
Nana Ofori-Opoku

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