Synergistic Multi-Frequency Harmonic Acoustography Systems
Legal Citation
Summary of the Inventive Concept
This inventive concept integrates the patented multi-frequency harmonic acoustography technology with other distinct technologies, such as AI, IoT, blockchain, and novel materials, to create a more powerful system for target identification and border detection.
Background and Problem Solved
The original patent disclosed a method for multi-frequency harmonic acoustography for target identification and border detection within a target tissue. However, the patent's limitations include the lack of secure data management, manual image analysis, and limited real-time data transmission capabilities. This inventive concept addresses these limitations by incorporating synergistic combinations of technologies to enhance the overall system.
Detailed Description of the Inventive Concept
The inventive concept consists of a focused confocal transducer, which can be integrated with various technologies to enhance its capabilities. For instance, a blockchain-based data storage module can ensure secure and decentralized data management. The integration of artificial intelligence enables automated image analysis and diagnosis. The system can also incorporate an Internet of Things (IoT) network for real-time data transmission and remote monitoring. Additionally, the use of novel materials with enhanced viscoelastic properties can improve tissue characterization. Furthermore, a machine learning algorithm can be integrated for predictive modeling and personalized medicine.
Novelty and Inventive Step
The inventive concept's novelty lies in the synergistic combination of the patented multi-frequency harmonic acoustography technology with other distinct technologies, resulting in a more powerful system with enhanced capabilities. The inventive step is the integration of these technologies to create a system that addresses the limitations of the original patent.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include the use of different AI algorithms, IoT network configurations, or blockchain platforms. Variations could also include the integration of other technologies, such as robotics or computer vision, to further enhance the system's capabilities.
Potential Commercial Applications and Market
The inventive concept has significant commercial potential in the medical imaging and diagnostics industry, particularly in the areas of cancer detection and personalized medicine. The system's enhanced capabilities and secure data management features make it an attractive solution for healthcare providers and researchers.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B8/485 |
| A | A61 | A61B8/085 |
| A | A61 | A61B8/4494 |
| B | B06 | B06B1/0622 |
| G | G01 | G01S7/52038 |
| G | G01 | G01S15/8913 |
| G | G01 | G01S15/8922 |
| G | G01 | G01S15/8952 |
| A | A61 | A61B8/5207 |
| G | G01 | G01S7/5203 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical ultrasound imaging and diagnostic technologies, specifically multi-frequency harmonic acoustography with expertise in transducer design, signal processing, and medical imaging techniques
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or medical imaging specialist with advanced degree, proficient in ultrasound technologies, signal processing algorithms, and interdisciplinary technology integration
Obviousness Rationale
A PHOSITA would recognize that the source patent's multi-frequency harmonic acoustography method naturally lends itself to technological enhancement through contemporary integration strategies. The disclosed variations represent predictable combinations of known technologies that would be obvious to implement given the foundational ultrasound imaging technique. The integration of AI, blockchain, and IoT represents standard technological augmentation strategies commonly applied across medical diagnostic domains.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,373 |
|---|---|
| Title | Multi-frequency harmonic acoustography for target identification and border detection |
| Assignee(s) | The Regents of the University of California |