3D Tumor Tracking for Respiratory Motion Compensation in RF Ablation
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Solution Overview
Problem
Current methods for treating tumors using RF ablation probes face challenges due to the difficulty in accurately positioning the probes in three-dimensional spaces within the body, especially when tumors are large or move due to respiration, leading to incomplete ablation and potential recurrence.
Innovation Solution
A system that uses imaging data to create a simulated 3D image of the tumor, tracks tumor movement during respiration, and synchronizes the ablation probe placement with the tumor's dwell position, ensuring accurate targeting and treatment planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple ablation probe placements are required to treat large tumors, then complete tumor coverage is improved, but procedure time and complexity increase
Solution Approach 1:
The system transitions from 2D ultrasound imaging to 3D volumetric imaging and planning, allowing the surgeon to visualize and plan multiple ablation probe trajectories in three-dimensional space. This enables comprehensive tumor coverage planning while optimizing the number and positioning of probe placements, thereby improving complete tumor coverage without unnecessarily extending procedure time.
Solution Approach 2:
The system performs preliminary 3D treatment planning before the actual ablation procedure, where the surgeon can simulate and optimize probe trajectories, target locations, and ablation zones. This pre-planning allows for efficient execution of multiple probe placements during the procedure, reducing procedure time while ensuring complete tumor coverage.
2Adaptability or versatility
If ablation probe placement is performed outside the ultrasound image plane, then access to deep or lateral tumor regions is improved, but spatial orientation and targeting accuracy deteriorate
Solution Approach 1:
The system employs 3D volumetric imaging and trajectory planning that extends beyond the 2D ultrasound image plane. This allows the surgeon to accurately visualize and plan probe trajectories that access deep or lateral tumor regions while maintaining precise spatial orientation and targeting accuracy through three-dimensional guidance.
Solution Approach 2:
The system introduces a 3D imaging and navigation system as an intermediary between the surgeon and the tumor target. This intermediary provides enhanced spatial visualization and guidance, enabling accurate targeting even when probe placement occurs outside the direct ultrasound image plane.
3Ease of manufacture
If ablation targeting is performed on static images, then planning simplicity is improved, but accuracy deteriorates due to tumor motion from respiration
Solution Approach 1:
The system transitions from static image-based planning to dynamic real-time imaging and tracking. The ultrasound system continuously monitors tumor position and updates the 3D visualization during respiration, allowing the surgeon to adjust probe trajectories in real-time to account for tumor motion, thereby maintaining high targeting accuracy despite respiratory movements.
Solution Approach 2:
The system implements real-time feedback through continuous ultrasound imaging and tumor position tracking during respiration. This feedback mechanism allows the surgeon to observe tumor motion and adjust probe placement accordingly, ensuring accurate targeting despite the dynamic nature of respiratory movement.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the accuracy and completeness of tumor ablation by compensating for tumor motion caused by respiration, reducing the risk of recurrence and improving treatment efficiency.
Implementation Method 1
An ultrasound imaging system generates a two-dimensional (2D) image, effectively allowing the doctor or surgeon to view the tissue within the image plane of the ultrasound probe
Data Source
AI summary
A method and system for treating tissue with a surgical device includes the steps of displaying an image created by collecting imaging data from an imaging device, selecting at least one tissue target from the image, collecting image data and tracking the tissue target during at least one respiration cycle, determining the dwell position of the tissue target, and displaying an image created from image data collected with the tissue target at the dwell position. The method may further include determining the position and orientation of the surgical device with respect to the dwell position and indicating the trajectory of the surgical device on the display screen. The method may further include the steps of monitoring the respiration cycle, indicating when the tissue target is approaching the dwell position, positioning the surgical device in the patient based upon the dwell position and trajectory and treating the tissue target.