Synergistic Hyperspectral Imaging System for Enhanced Surgical Guidance

Publication ID: 24-11857317_0008_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Hyperspectral Imaging System for Enhanced Surgical Guidance,” Published Technical Disclosure No. 24-11857317_0008_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857317_0008_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

A novel system integrating hyperspectral imaging with AI, IoT, blockchain, and nanomaterials to provide real-time, quantitative, and depth-resolved surgical guidance, enhancing tumor localization and surgical outcomes.

Background and Problem Solved

The original patent addressed the limitations of traditional surgical imaging methods, but the new inventive concept takes it a step further by synergistically combining hyperspectral imaging with other distinct technologies to provide a more comprehensive and accurate surgical guidance system.

Detailed Description of the Inventive Concept

The system consists of a hyperspectral imaging device integrated with an AI-powered tumor detection module, utilizing machine learning algorithms to analyze hyperspectral images and provide real-time tumor localization and depth estimation. Additionally, the system incorporates blockchain technology to securely store and manage patient data and imaging results, IoT-enabled sensors to monitor surgical site conditions, and a nanomaterial-based sensor array to enhance the sensitivity and specificity of the imaging device. The system also features edge computing and AI-powered analytics to process imaging data in real-time, providing augmented reality visualization of surgical site anatomy and tumor localization.

Novelty and Inventive Step

The new claims introduce a synergistic combination of hyperspectral imaging with AI, IoT, blockchain, and nanomaterials, which is not obvious from the original patent and provides a novel and non-obvious solution for enhanced surgical guidance.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include integrating the hyperspectral imaging device with other AI-powered modules, such as computer vision or natural language processing, or utilizing different types of sensors or nanomaterials to enhance the system's capabilities.

Potential Commercial Applications and Market

The synergistic hyperspectral imaging system has significant commercial potential in the medical device industry, particularly in the areas of surgical oncology, neurosurgery, and orthopedic surgery, with potential applications in hospitals, clinics, and research institutions.

Field of Art

Medical imaging and surgical guidance technologies, specifically hyperspectral fluorescence and reflectance imaging systems with a focus on tumor detection and surgical navigation

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical imaging specialist with expertise in optical imaging, machine learning, sensor technologies, and surgical navigation systems, holding advanced degrees in bioengineering, medical physics, or related fields

Obviousness Rationale

A person of ordinary skill would recognize that integrating AI, IoT, and advanced sensor technologies into existing hyperspectral imaging systems represents a predictable and incremental improvement to surgical guidance technologies. The source patent's foundational work in quantitative fluorescence imaging provides a clear technical framework that would naturally invite technological enhancements using contemporary computational and sensing approaches. The PTD's variations represent logical extensions of the original patent's core imaging and localization methodologies.

Obvious Combinations & Variations

Source Patent Element
Quantitative fluorophore concentration mapping using preoperative MRI/CT imaging
PTD Variation
AI-powered machine learning algorithms for analyzing hyperspectral images and providing real-time tumor localization
Obviousness Reasoning
Applying machine learning to medical imaging is a known technique for enhancing diagnostic capabilities, representing a predictable technological progression for improving existing imaging methodologies
Source Patent Element
Three-dimensional surface model coregistration from stereo optical cameras
PTD Variation
Blockchain-secured data management and IoT-enabled surgical site monitoring
Obviousness Reasoning
Extending imaging systems with secure data management and real-time monitoring represents an obvious design choice for improving medical technology infrastructure
Source Patent Element
Depth estimation of fluorophores using optical imaging systems
PTD Variation
Nanomaterial-based sensor arrays to enhance imaging sensitivity and specificity
Obviousness Reasoning
Utilizing advanced materials to improve sensor performance is a well-established approach in medical imaging technologies, representing a predictable enhancement to existing detection methodologies
Source Patent Element
Surgical site imaging using fluorescence and reflectance techniques
PTD Variation
Edge computing and augmented reality visualization of surgical anatomy
Obviousness Reasoning
Integrating computational visualization techniques with medical imaging is a known approach for improving surgical guidance, representing an obvious technological evolution
Source Patent Element
Preoperative imaging-based tumor localization
PTD Variation
3D printing module for creating customized surgical models integrated with AI analytics
Obviousness Reasoning
Combining imaging data with personalized model generation is a predictable application of advanced computational techniques in surgical planning
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857317 and the published technical disclosure, a person of ordinary skill in the art would find the claimed variations obvious, as they represent predictable technological extensions utilizing known techniques in AI, sensor technologies, and medical imaging. The disclosed combinations emerge from standard engineering problem-solving approaches and do not represent non-obvious innovations beyond the existing technological landscape.

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