Cone Beam CT Lung Navigation Divergence

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Solution Overview

Problem

Current systems for visualizing and navigating within the lungs during procedures fail to accurately account for changes and movements between pre-operative CT scans and the actual patient condition during treatment, leading to divergence issues and inaccuracies in locating airways and tools.

Innovation Solution

The method involves using cone beam computed tomography (CBCT) imaging to generate and register 3D models of the patient's lungs in real-time, allowing for accurate tracking of tools and structures, and updating their positions to ensure precise navigation and treatment planning.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If pre-operative CT scans are used for lung navigation, then treatment planning can be performed in advance, but the images diverge from the actual patient condition during treatment due to breathing movements and anatomical changes

Engineering Contradiction:
Improvetreatment planning timeVSAvoidanatomical image accuracy
Core Design Contradiction:
Loss of timeVSMeasurement precision

Solution Approach 1:

The system performs preliminary treatment planning using pre-operative CT scans, allowing the surgical pathway and target identification to be established in advance. This preliminary action is then refined during the procedure using intraoperative CBCT imaging to account for anatomical changes and breathing movements, combining the benefits of advance planning with real-time accuracy.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system continuously compares pre-operative CT images with intraoperative CBCT images, detecting discrepancies caused by breathing and anatomical changes. This feedback loop allows the system to update the navigation data in real-time, correcting the divergence between planned and actual anatomy to maintain measurement precision throughout the procedure.

Inventive Principle:
Principle #23Feedback

2Productivity

If traditional pre-operative imaging is used, then the imaging process is simple and quick, but the images do not account for changes occurring after the scan or during the treatment procedure

Engineering Contradiction:
Improveimaging speedVSAvoidimage accuracy during procedure
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The system uses periodic CBCT imaging during the treatment procedure to capture anatomical changes as they occur. These periodic images are acquired at key moments to update the navigation system, ensuring that the most current anatomical information is available while maintaining efficient workflow and not significantly extending procedure time.

Inventive Principle:
Principle #19Periodic action

3Measurement precision

If real-time CBCT imaging is used to capture anatomical changes, then navigation accuracy is improved, but the imaging and processing time increases

Engineering Contradiction:
Improvenavigation accuracyVSAvoidimaging and processing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system uses selective CBCT imaging, acquiring images only at specific moments when anatomical changes are most likely to occur or when verification is most critical. This partial action approach maintains high navigation accuracy by capturing essential changes without performing continuous imaging, thereby minimizing the time penalty while preserving measurement precision.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS20240423726A1Cone beam and 3D fluoroscope lung navigation
Publication Date: 2024.12.26 COVIDIEN LP
  • US20240423726A1 patent drawing
  • US20240423726A1 patent drawing
  • US20240423726A1 patent drawing

AI summary

A method and system for reducing divergence between computed tomography images and a patient using three-dimensional reconstructions. The method utilizes cone beam imaging or three-dimensional fluoroscopy to supplement or supplant pre-operative computed tomography imaging.