Synergistic Breast Tissue Imaging System
Legal Citation
Summary of the Inventive Concept
A novel system integrating AI, IoT, blockchain, and new materials to generate highly accurate synthetic breast tissue images, enhancing diagnostic capabilities and patient outcomes.
Background and Problem Solved
The original patent disclosed a system for processing images of breast tissue, but it had limitations in terms of image quality, data security, and real-time feedback. The new inventive concept addresses these limitations by incorporating synergistic combinations of distinct technologies.
Detailed Description of the Inventive Concept
The system comprises a blockchain-based decentralized image storage module, an AI-powered image processing module for high density element suppression, and a material-science-based image rendering module for realistic tissue simulation. The IoT-enabled breast imaging devices provide real-time image data to the AI software, which generates synthetic breast tissue images with enhanced diagnostic accuracy. The machine learning-based image segmentation module identifies high density elements, and the blockchain-based image validation module ensures data integrity.
Novelty and Inventive Step
The new claims introduce a synergistic combination of AI, IoT, blockchain, and new materials, which is not obvious from the original patent. The integration of these technologies enables real-time image data processing, enhanced diagnostic accuracy, and secure image sharing.
Alternative Embodiments and Variations
Alternative embodiments may include using different AI algorithms, integrating additional sensors or devices, or applying the system to other medical imaging applications. Variations may include using different blockchain protocols or material-science-based rendering techniques.
Potential Commercial Applications and Market
The Synergistic Breast Tissue Imaging System has significant commercial potential in the medical imaging industry, particularly in breast cancer diagnosis and treatment. The system's ability to enhance diagnostic accuracy and provide real-time feedback can improve patient outcomes and reduce healthcare costs.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B6/5258 |
| A | A61 | A61B6/461 |
| A | A61 | A61B6/502 |
| G | G06 | G06T11/008 |
| G | G06 | G06T2207/10116 |
| G | G06 | G06T2207/30068 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical imaging technologies, specifically breast tissue imaging and synthetic image generation, involving digital radiography, image processing, machine learning, and computational techniques for medical diagnostics
Person of Ordinary Skill (PHOSITA) Profile
A skilled practitioner with expertise in medical imaging, computer vision, AI/machine learning, and digital image processing, holding advanced degrees in biomedical engineering, computer science, or related fields, with working knowledge of medical imaging standards and emerging technologies
Obviousness Rationale
A PHOSITA would recognize that the PTD's integration of AI, IoT, and blockchain technologies represents predictable extensions of the source patent's core image processing methodology, applying known computational techniques to enhance synthetic breast tissue image generation through incremental technological combinations that yield expected improvements in diagnostic accuracy and data management.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,358 |
|---|---|
| Title | System and method for synthetic breast tissue image generation by high density element suppression |
| Assignee(s) | Hologic, Inc. |