Table 1.
Features | Technique | Invasiveness | ||
---|---|---|---|---|
Anatomy | Segmentation of in-vivo image | Non-invasive | ||
Fibre orientation | Image-based estimation (in-vivo DTI) | Non-invasive | ||
Cardiac conduction system | PMJs from EAMs | Invasive | ||
Pathology (Structural remodelling) | Anatomical variations | Clinical image-based | Non-invasive | |
Localised fibrosis | Image-based (e.g. DE-MRI) | Non-invasive | ||
EAMs | Invasive | |||
Diffuse fibrosis | Image-based (T1 mapping MRI) | Non-invasive | ||
Electrophysiology | Action potential | NO | ||
Heterogeneity | NO | |||
Electrical remodelling | NO | |||
Genetic mutations | NO | |||
Conduction velocities | Global: | ECG | Non-invasive | |
Local: | EAMs | Invasive | ||
APD restitution curve | EAMs | Invasive | ||
Extracellular ion concentrations | Blood test (electrolyte concentrations) (time-variant) | Invasive | ||
Activation pattern | ECG or BSPM | Non-invasive | ||
EAMs | Invasive | |||
Cardiac mechanics | Biomechanical model | Dynamic image-based | Non-invasive | |
Material properties | NO | |||
Boundary conditions | Dynamic image-based | Non-invasive |
This table shows the techniques that can be currently used to personalise the different features and components of a 3D cardiac computational model aimed at biophysical simulation, specifying whether the technique is invasive or non-invasive.