Probe-Based Treatment Planning With 3D Target Visualization
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Solution Overview
Problem
Existing medical interventions using probes for treatments like radiotherapy, ablation, laser-based, or ultrasound-based therapies lack precise knowledge of how the probe interacts with the target region, leading to suboptimal treatment delivery and potential risks.
Innovation Solution
A computer-implemented method using a user graphical interface with a controller to interactively control a 3D scene of a patient's body and a probe, allowing visualization of treatment distribution and superimposition indices to optimize probe positioning and orientation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a series of images is used to visualize the body area and locate diseased tissues, then the doctor can prepare the intervention and identify target regions, but the doctor lacks precise knowledge of how the probe will interact with the target region
Solution Approach 1:
The system performs preliminary computation of the treatment 3D distribution before the actual intervention. By calculating and visualizing how the probe will interact with the target region in advance, the doctor can optimize the probe position and orientation to achieve precise treatment delivery while avoiding surrounding tissues.
Solution Approach 2:
The system creates a 3D copy or representation of the treatment distribution based on the probe's position and orientation. This virtual model allows the doctor to visualize and analyze the expected interaction between the probe and target region without physically attempting the intervention first, enabling precise planning.
2Manufacturing precision
If the doctor manually positions the probe based on 2D images, then the intervention can be performed, but the treatment distribution cannot be precisely visualized or optimized
Solution Approach 1:
The system transitions from 2D image visualization to 3D spatial representation. By computing and displaying the treatment 3D distribution in three-dimensional space, the doctor can precisely visualize how the probe will interact with the target region, enabling accurate optimization of probe position and orientation while maintaining ease of operation through intuitive 3D interaction.
3Reliability
If the treatment 3D distribution is computed and visualized overlaid with the body 3D model, then precise targeting is achieved, but the system complexity increases
Solution Approach 1:
The system merges the treatment 3D distribution visualization with the body 3D model in a single integrated display. By combining these elements, the doctor can simultaneously view the patient's anatomy and the expected treatment distribution, ensuring reliable treatment delivery. The merging is achieved through computational algorithms that process probe position, orientation, and treatment parameters to generate the overlaid visualization.
Data Source
AI summary
A computer-implemented method for helping a user in the planification of a treatment to be delivered via a probe to an effective target region of a body of a patient, the treatment being a radiotherapy, an ablation therapy, a laser-based or an ultrasound-based treatment, by a user graphical interface including a controller configured to control the interaction between the user and the user graphical interface. A device is configured to implement the method and to a computer program product including instructions which, when the program is executed by a computer, cause the computer to carry out the method.