Deep Learning-Based Phase Unwrapping for Diverse Applications

The inventive concept applies the core technology of deep learning-based phase unwrapping for dense MRI to entirely new industries, including agriculture, construction, industrial processes, pharmaceuticals, and neuroscience.

The original patent addressed the challenge of myocardial strain imaging in cardiac MRI using deep learning-based phase unwrapping. However, this technology has broader applications beyond cardiac imaging. The inventive concept solves the problem of limited application scope by extending the technology to various fields, enabling new use cases and applications.

The inventive concept leverages the deep learning-based phase unwrapping methodology to analyze displacement encoded MRI data in diverse contexts. For instance, in agriculture, the technology can monitor and predict crop yields by analyzing soil moisture and crop growth. In construction, it can detect early signs of structural damage in buildings by analyzing displacement encoded MRI data of building materials and structures. Similarly, in industrial processes, it can analyze fluid dynamics, and in pharmaceuticals, it can monitor product consistency and purity. In neuroscience, it can non-invasively monitor brain activity and function.

The inventive concept's novelty lies in its application of deep learning-based phase unwrapping to entirely new fields, which was not anticipated by the original patent. The inventive step is the recognition of the technology's broader applicability and its adaptation to diverse industries, resulting in new and non-obvious use cases.

Alternative embodiments of the inventive concept could include variations in the deep learning architecture, the type of MRI data used, or the specific application domains. For example, using different CNN structures or incorporating additional sensors could further enhance the technology's capabilities.

The inventive concept has significant commercial potential in various industries, including agriculture, construction, industrial processes, pharmaceuticals, and neuroscience. The target market includes companies and research institutions seeking innovative solutions for monitoring and analysis in these fields.