Advanced Catheter Navigation System with AI-Driven Visualization

Publication ID: 24-11857276_0005_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Advanced Catheter Navigation System with AI-Driven Visualization,” Published Technical Disclosure No. 24-11857276_0005_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857276_0005_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. 11,857,276.

Summary of the Inventive Concept

A next-generation catheter navigation system that leverages artificial intelligence, machine learning, and advanced visualization techniques to provide real-time guidance and enhance navigation accuracy in minimally invasive procedures.

Background and Problem Solved

The original patent disclosed a system for displaying an alignment CT, which, while effective, has limitations in terms of accuracy and real-time feedback. The new inventive concept addresses these limitations by introducing AI-driven visualization and machine learning-based segmentation to provide more accurate and personalized navigation.

Detailed Description of the Inventive Concept

The advanced catheter navigation system comprises a neural network trained on CT image data to predict optimal catheter trajectories, a visualization module to display the predicted trajectories in real-time, and a hybrid rendering engine utilizing both Maximum Intensity Projection (MIP) and Volume Rendering (VR) techniques to provide an unobstructed view of the target region. The system also incorporates real-time catheter tracking using augmented reality (AR) visualization to project the catheter's position and trajectory onto the patient's body. Furthermore, the system generates personalized 3D models of patient airways from CT image data using a generative adversarial network (GAN) to refine the 3D model and improve navigation accuracy.

Novelty and Inventive Step

The new claims introduce novel AI-driven visualization and machine learning-based segmentation techniques that significantly improve navigation accuracy and provide real-time feedback. The use of a neural network to predict optimal catheter trajectories, the hybrid rendering engine, and the incorporation of AR visualization are all non-obvious and innovative steps beyond the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of other machine learning algorithms, such as deep learning or reinforcement learning, to improve navigation accuracy. Additionally, the system could be adapted for use in other minimally invasive procedures, such as cardiovascular or neurosurgical interventions.

Potential Commercial Applications and Market

The advanced catheter navigation system has significant commercial potential in the medical device industry, particularly in the fields of pulmonology, cardiology, and neurosurgery. The system's ability to provide real-time guidance and enhance navigation accuracy could lead to improved patient outcomes, reduced procedure times, and increased adoption of minimally invasive procedures.

CPC Classifications

SectionClassGroup
A A61 A61B34/20
A A61 A61B34/25
A A61 A61B90/37
G G06 G06T15/00
A A61 A61B1/018
A A61 A61B1/2676
A A61 A61B10/02
A A61 A61B2017/00809
A A61 A61B2034/107
A A61 A61B2034/2051
A A61 A61B2034/2055
A A61 A61B2034/2061
A A61 A61B2034/2065
A A61 A61B2034/2068
A A61 A61B2034/2072
A A61 A61B2090/367
A A61 A61B2090/3925
A A61 A61M2025/0166

Original Patent Information

Patent NumberUS 11,857,276
TitleSystem and method for displaying an alignment CT
Assignee(s)Covidien LP