Synergistic Hyperspectral Imaging Systems for Enhanced Surgical Guidance

Publication ID: 24-11857317_0003_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Hyperspectral Imaging Systems for Enhanced Surgical Guidance,” Published Technical Disclosure No. 24-11857317_0003_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857317_0003_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,317.

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.

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

Source Patent Element
Quantitative fluorophore concentration mapping using preoperative MRI/CT imaging
PTD Variation
AI-powered tumor detection module analyzing hyperspectral images to identify tumor locations
Obviousness Reasoning
Extending image analysis techniques with machine learning represents a known and predictable improvement in medical imaging, leveraging existing image processing frameworks to enhance diagnostic capabilities
Source Patent Element
Three-dimensional surface model coregistration techniques
PTD Variation
Blockchain-based secure data storage for hyperspectral imaging and tumor localization data
Obviousness Reasoning
Implementing secure, distributed data management for medical imaging is a logical technological progression, applying standard data security practices to existing imaging workflows
Source Patent Element
Broad-spectrum light source for fluorescence imaging
PTD Variation
Nanostructured material with enhanced infrared spectrum sensitivity for hyperspectral imaging
Obviousness Reasoning
Material science improvements to optical sensing components represent a routine engineering approach to incrementally improving imaging system performance
Source Patent Element
Depth-resolved fluorescence imaging methodology
PTD Variation
Deep learning algorithm for quantitative and depth-resolved hyperspectral imaging
Obviousness Reasoning
Applying advanced machine learning techniques to existing imaging methodologies is a predictable technological evolution in medical image processing
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857317 and the published technical disclosure, a person having ordinary skill in medical imaging would find the proposed variations obvious and predictable extensions of existing hyperspectral surgical guidance technologies. The incremental technological additions represent routine optimization strategies that would be apparent to a skilled practitioner, thereby rendering potential derivative claims obvious under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,317
TitleMethod 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