Metrics of regional myocardial function can detect the onset of cardiovascular disease, evaluate the response to therapy, and provide mechanistic insight into cardiac dysfunction. Knowledge of local myocardial microstructure is necessary to distinguish between isotropic and anisotropic contributions of local deformation and to quantify myofiber kinematics, a microstructurally anchored measure of cardiac function. Using a computational model we combine in vivo cardiac displacement and diffusion tensor data to evaluate pointwise the deformation gradient tensor and isotropic and anisotropic deformation invariants. In discussing the imaging methods and the model construction, we identify potential improvements to increase measurement accuracy. We conclude by demonstrating the applicability of our method to compute myofiber strain in five healthy volunteers.
Keyphrases
- left ventricular
- cardiovascular disease
- magnetic resonance imaging
- healthcare
- high resolution
- heart failure
- type diabetes
- oxidative stress
- stem cells
- white matter
- electronic health record
- multiple sclerosis
- climate change
- mesenchymal stem cells
- magnetic resonance
- risk assessment
- machine learning
- coronary artery disease
- computed tomography
- metabolic syndrome
- smoking cessation
- cardiovascular events
- diffusion weighted imaging
- cardiovascular risk factors
- deep learning
- fluorescence imaging