Blood Vessel Graph Model for Surgical Path Recommendation
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Solution Overview
Problem
Conventional operation navigation techniques are limited in providing operation path information based on patient's anatomical data and cannot be employed during the surgical planning step, lacking the ability to recommend optimal paths for surgeons.
Innovation Solution
An operation-path recommendation method and apparatus that generates a blood vessel graph model from patient anatomical information, extracts candidate paths between defined start and destination points, and applies a cost function to each path based on node information, including jump, branch, and cross nodes, to recommend an optimal operation path with minimized stress levels for the surgeon.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional operation navigation technique is used to track instrument positions in real time, then real-time positional guidance is provided, but the technique cannot be employed during surgical planning step and cannot provide operation path information based on patient's anatomical data
Solution Approach 1:
The system performs surgical planning and operation path determination before the actual surgery begins. It generates a blood vessel graph model from pre-acquired anatomical data and calculates optimal operation paths in advance, allowing surgeons to prepare thoroughly before entering the operating room.
Solution Approach 2:
The system creates a virtual copy of the patient's anatomical structures by generating a 3D model from medical images and constructing a blood vessel graph model that represents the surgical field. This virtual model allows path planning without requiring physical presence in the surgical environment.
2Reliability
If conventional operation navigation technique provides real-time instrument tracking, then positional guidance during surgery is achieved, but it lacks the capability to recommend optimal paths based on anatomical considerations
Solution Approach 1:
The system analyzes anatomical data and determines optimal operation paths before surgery begins, allowing thorough evaluation of different surgical approaches based on the specific patient's anatomy without time pressure during the actual procedure.
Solution Approach 2:
The blood vessel graph model serves as an intermediary representation that connects raw anatomical data with surgical decision-making. It abstracts complex anatomical structures into a navigable graph that facilitates optimal path calculation while preserving essential anatomical relationships.
3Reliability
If multiple candidate paths are extracted and cost function is applied to each path, then optimal operation path with minimized stress levels is recommended, but computational complexity increases
Solution Approach 1:
The surgical field is divided into discrete nodes and edges forming a graph structure. This segmentation allows the complex problem of finding optimal paths through continuous anatomical space to be broken down into manageable discrete elements that can be systematically evaluated.
Solution Approach 2:
The system evaluates multiple candidate paths by changing parameters such as path length, number of nodes, vessel types, and surgical stress levels. By varying these parameters and applying a cost function, the system identifies the optimal path that minimizes surgical complexity and risk.
Data Source
AI summary
The present disclosure provides an operation-path recommendation method and apparatus. In the present disclosure, by an operation-path recommendation apparatus, a blood vessel graph model is generated based on patient's anatomical information, a plurality of candidate paths between defined start and destination points is extracted; node information on at least one node in each of the candidate paths is extracted; a cost function is applied to each candidate path, based on the extracted node information.