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Assessing Myocardial Microstructure With Biophysical Models of Diffusion MRI
Mohsen Farzi;Darryl Mcclymont;Hannah Whittington;Marie-Christine Zdora;Leah Khazin;Craig A. Lygate;Christoph Rau;Erica Dall’Armellina;Irvin Teh;Jürgen E. Schneider
Biophysical models are a promising means for interpreting diffusion weighted magnetic resonance imaging (DW-MRI) data, as they can provide estimates of physiologically relevant parameters of microstructure including cell size, volume fraction, or dispersion. However, their application in cardiac microstructure mapping (CMM) has been limited. This study proposes seven new two-compartment models wit...Show More
Role of Cardiac Microstructure Variability on Ventricular Arrhythmogenesis
Dominic G Whittaker;Alan P Benson;Irvin Teh;Jürgen E Schneider;Michael A Colman
2018 Computing in Cardiology Conference (CinC)
Year: 2018 | Conference Paper |
The propagation of cardiac electrical excitation is influenced by tissue microstructure. Reaction-diffusion computational models of cardiac electrophysiology incorporating both dynamic action potential (AP) behaviour and image-based myocardial architecture provide an approach to study the complex organisation of excitation waves within variable myocardial structures. The role of tissue microstruct...Show More
Monte Carlo Simulations of Diffusion Weighted MRI in Myocardium: Validation and Sensitivity Analysis
Joanne Bates;Irvin Teh;Darryl McClymont;Peter Kohl;Jürgen E. Schneider;Vicente Grau
A model of cardiac microstructure and diffusion MRI is presented, and compared with experimental data from ex vivo rat hearts. The model includes a simplified representation of individual cells, with physiologically correct cell size and orientation, as well as intra- to extracellular volume ratio. Diffusion MRI is simulated using a Monte Carlo model and realistic MRI sequences. The results show g...Show More
Anomalous Diffusion in Cardiac Tissue as an Index of Myocardial Microstructure
Alfonso Bueno-Orovio;Irvin Teh;Jürgen E. Schneider;Kevin Burrage;Vicente Grau
Diffusion in biological tissues is known to be hindered by the structural complexity of the underlying medium. In the heart, improved characterisation on how this complexity influences acquired diffusion weighted signals is key to advancing our interpretation of diffusion magnetic resonance imaging, as well as to propose novel biomarkers to further characterise myocardial microstructure. In this w...Show More
Transcranial direct current stimulation and EEG-based motor imagery BCI for upper limb stroke rehabilitation
Kai Keng Ang;Cuntai Guan;Kok Soon Phua;Chuanchu Wang;Irvin Teh;Chang Wu Chen;Effie Chew
2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Year: 2012 | Conference Paper |
Cited by: Papers (17)
Clinical studies had shown that EEG-based motor imagery Brain-Computer Interface (MI-BCI) combined with robotic feedback is effective in upper limb stroke rehabilitation, and transcranial Direct Current Stimulation (tDCS) combined with other rehabilitation techniques further enhanced the facilitating effect of tDCS. This motivated the current clinical study to investigate the effects of combining ...Show More
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