Synergistic Hyperspectral Imaging Systems for Enhanced Surgical Guidance
Legal Citation
Summary of the Inventive Concept
The present inventive concept integrates hyperspectral fluorescence and reflectance imaging with distinct technologies such as AI, IoT, blockchain, and novel materials to create a more powerful system for surgical guidance, enabling surgeons to make more accurate decisions during procedures.
Background and Problem Solved
The original patent provided a method and apparatus for quantitative and depth-resolved hyperspectral fluorescence and reflectance imaging for surgical guidance. However, it was limited by its reliance on preoperative MRI or CT imaging and did not leverage the potential of emerging technologies to enhance its capabilities. The present inventive concept addresses these limitations by integrating hyperspectral imaging with AI, IoT, blockchain, and novel materials to provide real-time, accurate, and secure data for surgical guidance.
Detailed Description of the Inventive Concept
The present inventive concept comprises a hyperspectral imaging device integrated with an AI-powered tumor detection module, which analyzes images acquired by the hyperspectral imaging device to identify tumor locations and provide real-time feedback to a surgeon during a surgical procedure. Additionally, the system incorporates a blockchain-based secure data storage system, enabling secure and transparent data sharing between healthcare providers. The hyperspectral imaging apparatus incorporates a novel, nanostructured material with enhanced sensitivity in the infrared spectrum, allowing for the resolution of received infrared light into signals representing intensity of light received within each of a large number of separate wavelength bands. Furthermore, the system integrates IoT-enabled sensors, which provide real-time data correlated with hyperspectral imaging data to provide a comprehensive understanding of tissue types during surgical procedures. A deep learning-based algorithm is also employed for quantitative and depth-resolved hyperspectral fluorescence and reflectance imaging, improving the accuracy of tissue type classification during surgical guidance.
Novelty and Inventive Step
The present inventive concept is novel in its synergistic integration of hyperspectral imaging with AI, IoT, blockchain, and novel materials, providing a more powerful system for surgical guidance. The inventive step lies in the combination of these distinct technologies to create a system that is greater than the sum of its parts, enabling real-time, accurate, and secure data for surgical guidance.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include the integration of additional emerging technologies, such as augmented reality or robotic systems, to further enhance the capabilities of the system. Variations of the inventive concept could also include the use of different types of imaging modalities, such as optical coherence tomography or photoacoustic imaging, to provide complementary information for surgical guidance.
Potential Commercial Applications and Market
The present inventive concept has significant commercial potential in the medical device industry, particularly in the areas of surgical guidance and tumor detection. The system's ability to provide real-time, accurate, and secure data for surgical guidance makes it an attractive solution for hospitals and healthcare providers seeking to improve patient outcomes and reduce costs.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical imaging and surgical guidance technologies, specifically hyperspectral fluorescence and reflectance imaging systems. Requires expertise in optical engineering, medical imaging, signal processing, and advanced computational techniques
Person of Ordinary Skill (PHOSITA) Profile
A skilled practitioner with a PhD or advanced engineering degree in biomedical optics, medical imaging, or related fields, with working knowledge of multispectral imaging, image processing algorithms, and surgical visualization technologies
Obviousness Rationale
A person having ordinary skill would recognize that integrating advanced computational techniques like AI, IoT, and blockchain with existing hyperspectral imaging technologies represents a predictable extension of the source patent's core imaging methodology. The fundamental imaging principles remain consistent, with the PTD merely adding contemporary computational and networking approaches to enhance data processing and visualization. These technological additions would be considered routine optimization and integration strategies within the medical imaging domain.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,317 |
|---|---|
| Title | Method and apparatus for quantitative and depth resolved hyperspectral fluorescence and reflectance imaging for surgical guidance |
| Assignee(s) | The Trustees of Dartmouth College, UNIVERSITY HEALTH NETWORK |