Medical Instrument Deployment Alignment for Treatment Zone Coverage
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing minimally invasive medical procedures face challenges in accurately determining the optimal deployment location of medical instruments to ensure complete coverage of the treatment zone, leading to inefficiencies in treatment delivery and potential damage to surrounding tissues.
Innovation Solution
A system and method for determining the deployment of a medical instrument that includes a control system for receiving imaging data, identifying anatomical targets, and generating treatment zones with aligned axes to optimize the deployment range, using graphical user interfaces to visualize and adjust margins and zones, and determining optimal paths and orientations for the instrument.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If minimally invasive medical tools are used to reach target tissue location through natural orifices or incisions, then tissue damage is reduced and patient recovery is improved, but accurately determining the optimal deployment location becomes more difficult
Solution Approach 1:
The patent introduces image data as an intermediary medium to bridge the operator and the target tissue location. The control system receives image data from imaging instruments, processes it to identify anatomical targets and generate treatment zones, and uses this information to determine optimal deployment locations. This intermediary system enables precise location determination without requiring direct visual contact or increasing tissue damage.
Solution Approach 2:
The patent replaces manual mechanical determination of deployment locations with an automated control system that processes image data. Instead of relying on operator estimation or mechanical measurement during the procedure, the system uses computational algorithms to analyze imaging data, identify targets, calculate treatment zones, and determine optimal deployment positions, thereby improving precision without increasing tissue damage.
2Reliability
If the treatment zone is expanded to ensure complete coverage of the anatomical target, then treatment effectiveness is improved, but damage to surrounding tissues increases
Solution Approach 1:
The patent applies local quality by creating a treatment zone with specific spatial characteristics centered on the anatomical target. The control system generates a treatment zone having a first axis aligned with the deployment position, creating a localized treatment area rather than a diffuse one. This localized approach ensures complete coverage of the target while limiting the extent of treatment to only the necessary area, thereby reducing damage to surrounding healthy tissues.
Solution Approach 2:
The patent changes the parameter of treatment zone geometry by defining it through its first axis alignment with the deployment position. This parameter change allows the treatment zone to be precisely oriented and sized to match the anatomical target's characteristics. By adjusting these geometric parameters, the system achieves complete target coverage while minimizing the treatment zone's overlap with surrounding tissues, thus balancing effectiveness with tissue preservation.
3Manufacturing precision
If the deployment position is precisely aligned with the treatment zone axis, then treatment precision is improved, but the complexity of determining the optimal position increases
Solution Approach 1:
The control system performs self-service by automatically processing image data, identifying anatomical targets, generating treatment zones, and determining optimal deployment locations without requiring manual intervention. The system uses its own computational resources to complete the entire workflow, reducing the operational complexity burden on the user while maintaining high deployment precision through automated alignment with the treatment zone axis.
Solution Approach 2:
The patent implements feedback by having the control system continuously process image data to verify and adjust the deployment location. The system receives image data, generates treatment zones based on identified targets, determines optimal deployment positions, and can use this information to guide or adjust the deployment process. This feedback loop ensures precise alignment with the treatment zone axis while managing complexity through automated iterative refinement.
Data Source
AI summary
A medical system comprises a control system configured to receive first imaging data of a patient anatomy and identify an anatomical target in the patient anatomy. The control system is further configured to generate a treatment zone having a first axis. The treatment zone includes the anatomical target. The control system is further configured to determine a deployment position of an elongate device configured to receive a medical instrument for treatment of the anatomical target. The deployment position is aligned with the first axis of the treatment zone.