Interventional Instrument Deployment Planning in Constrained Anatomy
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Solution Overview
Problem
Current systems for deploying minimally invasive interventional instruments struggle to identify an accessible deployment location within patient anatomy due to constraints of the instrument or anatomy, making it difficult to reach target tissue locations effectively.
Innovation Solution
A method and system that utilize a navigation planning module to determine a planned deployment location for an interventional instrument by considering both the operational capability of the instrument and patient anatomy, including factors such as bending capability, anatomical constraints, and target structure proximity, using sensor feedback to refine the location if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of moving object
If the closest-point deployment location is selected based on proximity to target tissue, then the distance to target is minimized, but the accessibility becomes difficult due to instrument constraints or anatomical constraints
Solution Approach 1:
The system introduces an intermediary computational model that simulates instrument navigation through anatomical passageways. This virtual model acts as a mediator between the target location and the actual instrument deployment, identifying feasible deployment locations that account for instrument constraints and anatomical geometry without requiring direct closest-point access
Solution Approach 2:
The system performs preliminary computational analysis of instrument navigation paths and deployment feasibility before actual instrument insertion. By pre-evaluating multiple potential deployment locations using a virtual anatomical model and instrument constraints, the system identifies optimal locations in advance, avoiding the need to attempt inaccessible closest-point deployments
2Object-affected harmful factors
If minimally invasive techniques are used to reduce tissue damage, then patient recovery time is reduced, but the ability to reach target tissue locations is constrained by instrument size and passageway geometry
Solution Approach 1:
The system creates a virtual copy or model of the patient's anatomical passageways and target structures. This digital twin allows clinicians to simulate and evaluate multiple instrument navigation paths and deployment scenarios without physically manipulating the patient's anatomy, enabling optimized planning that accounts for instrument constraints while minimizing tissue damage
Solution Approach 2:
The system transitions from direct linear distance measurement to multi-dimensional evaluation of instrument accessibility. By considering instrument length, flexibility, passageway geometry, and navigation paths in addition to target proximity, the system identifies deployment locations that are reachable through complex anatomical routes while maintaining minimal invasiveness
Data Source
AI summary
A method of planning a procedure to deploy an interventional instrument comprises receiving a model of an anatomic structure. The anatomic structure includes a plurality of passageways. The method further includes identifying a target structure in the model and receiving information about an operational capability of the interventional instrument within the plurality of passageways. The method further comprises identifying a planned deployment location for positioning a distal tip of the interventional instrument to perform the procedure on the target structure based upon the operational capability of the interventional instrument.