Integrative Cardiac Strain Analysis Systems and Methods
Legal Citation
Summary of the Inventive Concept
This inventive concept integrates deep learning-based phase unwrapping for dense MRI with other distinct technologies, such as AI, IoT, blockchain, and new materials, to create a more powerful system for cardiac strain analysis.
Background and Problem Solved
The original patent addressed the limitations of myocardial strain imaging by utilizing deep learning-based phase unwrapping for dense MRI. However, this approach had limited scope and did not leverage the potential of other technologies. This new inventive concept solves this problem by synergistically combining the patented inventive concept with other distinct technologies to create a more comprehensive and powerful system for cardiac strain analysis.
Detailed Description of the Inventive Concept
The new system integrates a deep learning-based phase unwrapping module with a blockchain-based data sharing platform for secure and transparent data exchange between healthcare providers. Additionally, it utilizes an IoT-enabled wearable device for real-time monitoring of cardiac health, an AI-powered decision support module, and a new material-based MRI coil for enhanced signal quality. This synergistic combination enables more accurate and personalized cardiac strain analysis, improved data security, and enhanced patient care.
Novelty and Inventive Step
The new claims introduce novel and non-obvious combinations of the patented inventive concept with other distinct technologies, such as blockchain, IoT, AI, and new materials. These combinations provide a more comprehensive and powerful system for cardiac strain analysis, overcoming the limitations of the original patent.
Alternative Embodiments and Variations
Alternative embodiments may include integrating the deep learning-based phase unwrapping module with other technologies, such as cloud-based analytics platforms, patient-specific 3D printed heart models, or edge computing devices. Variations may also include using different AI architectures, IoT devices, or blockchain protocols to achieve similar goals.
Potential Commercial Applications and Market
This inventive concept has significant commercial potential in the healthcare industry, particularly in cardiac imaging and personalized medicine. The target market includes hospitals, research institutions, and medical device manufacturers seeking to improve cardiac strain analysis and patient care.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical imaging, specifically cardiac MRI and deep learning-based image processing techniques, with expertise in signal processing, machine learning, and medical diagnostic technologies
Person of Ordinary Skill (PHOSITA) Profile
A skilled practitioner with advanced degrees in biomedical engineering, medical imaging, or computer science, possessing knowledge of deep learning neural networks, MRI signal processing, and cardiac imaging techniques
Obviousness Rationale
A person having ordinary skill in the art would recognize that integrating the source patent's deep learning phase unwrapping technique with complementary technologies like blockchain, IoT, and AI represents a predictable combination of known elements to enhance medical imaging and data processing capabilities. The PTD's variations leverage standard techniques of technology integration and system enhancement that would be apparent to a skilled practitioner seeking to improve cardiac strain analysis methodologies.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,288 |
|---|---|
| Title | Systems and methods for phase unwrapping for dense MRI using deep learning |
| Assignee(s) | University of Virginia Patent Foundation |