This technology includes a system for automatic artifact-free measurement and visualization of tissue strain by MRI at native resolution. The investigation of regional soft tissue mechanical strain can serve as a unique indicator for different related disorders. For example, measurement of myocardial tissue during contraction can help calculate, track, and assess cardiac stress. Currently, methods such as tagging MRI (tMRI) are used for imaging soft tissue deformation. Despite being well validated, methods such as tMRI suffer from low spatial and temporal resolution. The current described technology obtains pixelwise native high-resolution imagery for strain-mapping using a deep learning convolutional neural network.
This method provides for a high anatomic, functional, and temporal resolution of tissue strain and deformation with unprecedented clarity.