3D Tumor Ablation Planning with Respiratory Motion Compensation
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Solution Overview
Problem
Current methods for treating tumors using RF ablation probes face challenges such as the physical limitations of aligning ultrasound and ablation probes, difficulty in visualizing and planning three-dimensional tumor placement, and the need to compensate for tumor motion due to patient respiration, leading to inaccurate placement and potential incomplete ablation.
Innovation Solution
A system that uses imaging data to create a simulated 3D image of the tumor, allowing for precise planning and execution of ablation probe placement, with a surgical device guide that stabilizes the probe and compensates for tumor motion by synchronizing ablation with the tumor's dwell position during respiration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple ablation probe applications are used to treat large tumors, then the tumor volume can be addressed, but the procedure time increases significantly (10-15 minutes between placements)
Solution Approach 1:
The system performs preliminary 3D reconstruction of the tumor from multiple ultrasound images and pre-plans the optimal probe trajectories and treatment sequence before the actual ablation procedure. This allows the surgeon to review and adjust the treatment plan in advance, reducing intra-procedural decision-making time and enabling smoother transitions between multiple ablation applications.
2Ease of operation
If the surgeon mentally processes 2D ultrasound images to create ablation plans, then treatment planning can be performed, but the complexity and difficulty of 3D planning increases
Solution Approach 1:
The system creates a digital 3D copy (virtual model) of the tumor from multiple 2D ultrasound images. This virtual 3D representation can be rotated, sliced, and viewed from any angle, allowing the surgeon to easily visualize the tumor geometry and plan probe trajectories in a simplified digital environment rather than mentally processing complex 3D spatial relationships from 2D images.
Solution Approach 2:
The system transforms 2D ultrasound images into a 3D volumetric representation of the tumor. This dimensional transition provides intuitive spatial understanding and allows for straightforward 3D trajectory planning, as the tumor and surrounding anatomy are visualized in their actual three-dimensional configuration rather than requiring mental rotation and reconstruction from 2D slices.
3Manufacturing precision
If the ablation probe is positioned outside the image plane of the ultrasound probe, then the ablation can be performed, but the visualization and placement accuracy deteriorates
Solution Approach 1:
The system introduces a 3D visualization interface as an intermediary between the 2D ultrasound images and the surgical probe placement. This 3D model serves as a mediator that accurately represents the spatial relationship between the probe insertion site and the target tumor, even when the probe is positioned outside the traditional 2D image plane. The 3D visualization continuously updates to show the probe's real-time position relative to the tumor, maintaining placement accuracy without requiring the probe to remain within the ultrasound image plane.
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 system enhances the accuracy and completeness of tumor ablation by enabling precise 3D planning and real-time compensation for tumor motion, reducing the risk of incomplete treatment and tumor recurrence.
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
Implementation Method 2
a surgical device such as a radio frequency (RF) ablation probe is placed into the tumor and the tumor cells are destroyed using RF energy
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, determining the effective treatment volume of the surgical device and determining a treatment modality for treating the tissue target with the surgical device, where the treatment modality is made up of at least one target treatment volume. The method may also include the steps of determining the position and orientation of the imaging device, the image and the surgical device, indicating the trajectory of the surgical device with respect to the image on the display screen, inserting the surgical device in the patient based upon the trajectory and treating the tissue target. The method may further include indicating the target treatment volumes on the display screen.