Virtual Surgical Simulation Cue Sheets for Patient-Specific Planning
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Solution Overview
Problem
Existing surgical planning methods rely on medical images and expert advice, which are not customized to individual patients, leading to inefficiencies and difficulty in optimizing surgical processes.
Innovation Solution
A method and program that create a virtual body model, simulate surgical processes, divide data into minimum operation units, and generate cue sheet data to optimize surgical procedures using deep learning and reinforcement learning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If medical images and expert advice are used for surgical planning, then surgical guidance is provided, but the guidance is not customized to individual patients and unnecessary processes cannot be identified
Solution Approach 1:
The patent creates a virtual copy of the patient's body using 3D medical imaging data. This virtual body model replicates the patient's anatomical structure, allowing surgical simulation and optimization without risking the actual patient. The copying principle enables personalized surgical planning by creating a digital twin that can be manipulated and analyzed independently.
Solution Approach 2:
The patent performs surgical simulation and process optimization before the actual surgery takes place. By dividing the surgical process into minimum operation units and simulating them in advance on the virtual body model, the system identifies unnecessary steps and optimizes the surgical pathway beforehand, improving efficiency during the actual procedure.
2Adaptability or versatility
If surgical processes are simulated on virtual body models, then personalized surgical optimization is achieved, but computational complexity and data processing requirements increase
Solution Approach 1:
The patent segments the surgical process into minimum operation units, each representing a specific surgical action. This segmentation allows the complex surgical procedure to be broken down into manageable, discrete steps that can be individually simulated, analyzed, and optimized. The virtual surgical data is divided into these units based on recognized events such as tool changes or target portion changes.
Solution Approach 2:
The patent applies different levels of detail and processing to different parts of the surgical process. By identifying specific events (tool changes, target portion changes) and dividing the surgical data accordingly, the system focuses computational resources on critical moments in the surgery rather than uniformly processing all data, thereby managing complexity while maintaining personalization.
3Loss of information
If deep learning algorithms are used to analyze medical images, then high-level abstractions are achieved, but processing time and computational resources increase
Solution Approach 1:
The patent performs deep learning-based analysis of medical images in advance to create the 3D virtual body model before surgical simulation begins. This preliminary processing extracts high-level anatomical abstractions and structural information upfront, allowing the subsequent surgical simulation to operate on already-processed data, thereby reducing real-time processing requirements.
Solution Approach 2:
The patent divides the virtual surgical data into minimum operation units based on recognized events. This segmentation allows the system to process and analyze specific surgical actions independently, enabling more efficient computation by focusing deep learning resources on discrete, meaningful units rather than continuous data streams.
Data Source
AI summary
A method for creating surgical simulation information by a computer includes creating a virtual body model corresponding to a body state of a patient for surgery, simulating a specific surgical process on the virtual body model to obtain virtual surgical data, dividing the virtual surgical data into minimum surgical operation units, each unit representing one specific operation, and creating cue sheet data composed of the minimum surgical operation units, wherein the cue sheet data represents the specific surgical process.