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School of Medicine
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Ashikaga LabWe specialize in unconventional, multi-disciplinary approaches to studying the heart at the intersection of applied mathematics, physics and computer science. We focus on theory development that leads to new technology and value delivery to the society. Currently we have three research programs:
- Precision Medicine
To develop a quantitative approach to personalized risk assessment for stroke and dementia based on patent-specific heart anatomy, function and blood flow.
Disciplines: Cardiac Hemodynamics; Medical Imaging Physics; Continuum Mechanics; Computational Fluid Dynamics
- Information Theory
To quantify and perturb cardiac fibrillation that emerges as a macro-scale behavior of the heart from micro-scale behaviors of inter-dependent components.
Disciplines: Cardiac Electrophysiology; Spiral Wave; Information Theory; Complex Networks
- Artificial Intelligence
To develop artificial intelligence algorithms to predict the future risk of heart attack, stroke and sudden death, and to assist surgical interventions to prevent these outcomes.
Disciplines: Medical Imaging Physics; Artificial Intelligence; Robotically Assisted Interventions
For more information please visit our Ashikaga Lab website.
- Tao S, Way S, Garland J, Chrispin J, Ciuffo, LA, Balouch MA, Nazarian S, Spragg DD, Marine J, Berger RD, Calkins H, Ashikaga H. Ablation as targeted perturbation to rewire communication networks of persistent atrial fibrillation. PLoS One, In Press
- Tao S, Ciuffo LA, Lima, JAC, Wu K, Ashikaga H. Quantifying left atrial structure and function using single-plane tissue-tracking cardiac magnetic resonance. Magn Reson Imaging, In Press
- Ciuffo LA, Inoue YY, Tao S, Ipek EG, Lima JAC, Nazarian S, Spragg DD, Marine J, Berger RD, Calkins H, Ashikaga H. Mechanical dyssynchrony of the left atrium during sinus rhythm is associated with stroke in patients with history of atrial fibrillation. Eur Heart J Cardiovasc Imaging, In Press
- Ashikaga H, James RG. Hidden structures of information transport underlying spiral wave dynamics. Chaos 27: 013106, 2017.
- Inoue YY, Ambale-Venkatesh B, Mewton N, Volpe GJ, Ohyama Y, Sharma RK, Wu CO, Liu CY, Bluemke DA, Soliman EZ, Lima JAC, Ashikaga H. Electrocardiographic impact of myocardial diffuse fibrosis and scar: MESA (Multi-Ethnic Study of Atherosclerosis). Radiology 282: 690-698, 2017
- Otani T, Al-Issa A, Pourmorteza A, McVeigh ER, Wada S, Ashikaga H. A computational framework for personalized blood flow analysis in human left atrium. Ann Biomed Eng 44: 3284-94, 2016
- Al-Issa A, Inoue Y, Cammin J, Tang Q, Nazarian S, Calkins H, Fishman EK, Taguchi K, Ashikaga H. Regional function analysis of left atrial appendage using motion estimation CT and risk of stroke in patients with atrial fibrillation. Eur Heart J Cardiovasc Imaging 17: 788-96, 2016
- Ashikaga H, Aguilar-Rodríguez J, Gorsky S, Lusczek E, Marquitti FM, Thompson B, Wu D, Garland J. Modeling the heart as a communication system. J R Soc Interface 12: 20141201, 2015
- Inoue YY, Al-Issa A, Habibi M, Fukumoto K, Khurram I, Venkatesh BA, Zimmerman S, Nazarian S, Calkins H, Lima JA, Ashikaga H. Quantitative tissue tracking CMR of left atrial deformation and the risk of stroke in patients with atrial fibrillation. J Am Heart Assoc 4: e001844, 2015
- Ashikaga H, Arevalo H, Vadakkumpadan F, Blake RC, Bayer JD, Nazarian S, Zviman MM, Tandri H, Berger RD, Calkins H, Herzka DA, Trayanova NA, Halperin HR. Feasibility of image-based simulation to estimate ablation target in human ventricular arrhythmia. Heart Rhythm 10: 1109-16, 2013