Virtual Surgical System with Haptic Feedback
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Solution Overview
Problem
Current surgery preparation and aiding systems, such as Image Guided and Navigation Systems, are limited in assisting surgeons, especially in time-sensitive vascular interventions, as they lack realistic visual models and detailed patient-specific geometry and physical properties.
Innovation Solution
A computer-implemented method for virtual vascular interventions that generates a realistic three-dimensional virtual model of the surgical site using medical image data and patient-specific parameters, applies machine learning to identify pathological features, and provides haptic feedback during virtual surgical procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional Image Guided and Navigation Systems are used, then surgery preparation can be assisted, but the system is limited in providing realistic visual models and detailed patient-specific geometry
Solution Approach 1:
The patent creates a virtual copy of the patient's anatomy from medical images (CT, MRI) to generate a realistic 3D visual model. This virtual model replicates the patient-specific geometry, tissue properties, and pathological features, enabling surgeons to practice procedures on an accurate replica rather than on actual tissue during the real surgery.
Solution Approach 2:
The system transitions from 2D medical images to 3D volumetric models by processing cross-sectional CT and MRI data into three-dimensional representations. This dimensional transformation provides spatial context, depth perception, and realistic visualization of anatomical structures that cannot be achieved with traditional 2D imaging or basic navigation systems.
2Manufacturing precision
If detailed patient-specific geometry and physical properties are provided, then surgical planning is improved, but the procedure becomes more time-consuming
Solution Approach 1:
The system performs all complex processing, model generation, and virtual surgical rehearsals before the actual surgery. By pre-processing medical images, generating the 3D virtual model, identifying pathological features, and allowing multiple virtual practice sessions in advance, the patent eliminates time-consuming tasks during the operative period while maintaining high planning detail.
Solution Approach 2:
The virtual surgical planning process is continuous and iterative, allowing surgeons to repeatedly review the virtual model, adjust their approach, and practice procedures without interruption. This continuous virtual rehearsal replaces fragmented preoperative planning with an uninterrupted simulation process that optimizes the surgical plan efficiently.
3Loss of information
If 3D CT and MRI images are utilized, then patient-specific information is obtained, but the images offer only minor benefits standing alone for surgery rehearsal
Solution Approach 1:
The patent merges multiple data sources including 3D CT and MRI images, patient demographics, medical history, and virtual surgical tool models into an integrated virtual surgical environment. This combination creates a comprehensive simulation system that leverages the strengths of each data type while providing functionality that none could achieve alone, such as interactive virtual rehearsal with haptic feedback.
Solution Approach 2:
The virtual surgical system serves multiple functions: it provides 3D visualization, enables virtual rehearsal, allows procedural planning, facilitates team training, and supports intraoperative guidance. By making the system multi-functional, the patent maximizes the utility of the patient-specific 3D models beyond simple visualization, addressing various needs of surgeons and trainees.
Data Source
AI summary
A computer-implemented method and system for virtual vascular intervention applies a machine learning algorithm (A1) to a pre-acquired first data set (DS1) of medical image data of a patient (P) and a second data set (DS2) of patient medical parameters and/or natural language data related to a medical condition of the patient (P) to identify at least one pathological feature. The identified at least one pathological feature is indicated in a three-dimensional virtual model (M) of at least one portion of the body of the patient (P). A virtual vascular intervention is executed using the generated three-dimensional virtual model (M) and at least one surgical tool. Haptic feedback (F) is provided to a user using operational data of the virtual vascular intervention.