Virtual Surgery System for Breast Augmentation Forecasting
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Solution Overview
Problem
Current methods for evaluating and predicting outcomes in cosmetic and reconstructive surgery lack accuracy, failing to provide subjects and potential subjects with reliable forecasting and modeling of expected results and outcomes.
Innovation Solution
The development of virtual cosmetic and reconstructive surgery systems that utilize 3D scanning, measurement software, and VRML image processing to predict, evaluate, and validate surgical procedures by converting preoperative images into 3D models, allowing for the simulation of surgical outcomes and postoperative validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional evaluation methods are used for cosmetic and reconstructive surgery, then the process is simple and quick, but the accuracy of forecasting and modeling expected results is insufficient
Solution Approach 1:
The patent creates virtual copies of the patient's anatomy through 3D scanning and digital modeling. These virtual models replicate the actual anatomical structures, allowing surgeons to perform virtual surgeries on the copies before the actual procedure. This copying approach enables accurate forecasting of surgical outcomes without requiring complex physical prototypes or test subjects.
Solution Approach 2:
The patent replaces traditional mechanical evaluation methods (physical measurements, manual modeling) with computer-based virtual reality systems. The VR platform substitutes physical manipulation with digital simulation, allowing for precise forecasting through software-based anatomical modeling and virtual surgical procedure simulation.
2Reliability
If virtual surgery systems with 3D scanning and VRML processing are implemented, then accurate forecasting and validation of surgical procedures is achieved, but the device complexity and processing requirements increase
Solution Approach 1:
The virtual surgery system performs multiple functions within a single integrated platform: 3D scanning, anatomical modeling, virtual surgical simulation, outcome forecasting, and postoperative validation. This multi-functionality consolidates what would otherwise require separate systems into one unified VR platform, managing complexity through integration rather than proliferation of separate devices.
Solution Approach 2:
The patent introduces virtual reality models and digital twins as intermediary representations between the patient's actual anatomy and the surgical planning process. These virtual intermediaries serve as a bridge, allowing surgeons to evaluate and validate procedures digitally before applying them to the actual patient, thereby enhancing reliability without directly modifying the physical surgical environment.
3Reliability
If postoperative scans are compared to forecasted VRML images for validation, then the reliability of surgical outcomes is improved, but the time and processing required for comparison increases
Solution Approach 1:
The system performs preliminary virtual surgery and outcome forecasting before the actual surgical procedure. By simulating the surgery and predicting outcomes in advance, the system establishes baseline VRML images that can be quickly compared against postoperative results. This preliminary action eliminates the need for complex real-time analysis during or after surgery, reducing validation time.
Solution Approach 2:
The patent implements a feedback loop where postoperative scan results are automatically compared with preoperative virtual forecasts. This feedback mechanism provides quantitative validation of surgical outcomes by measuring deviations between predicted and actual results, enabling rapid assessment of surgical accuracy without manual measurement or lengthy analysis procedures.
Data Source
AI summary
A method for producing a virtual forecasted model of a breast augmentation subject, comprising, receiving a preoperative subject's scanned image, wherein the scanned image comprises a three dimensional image, converting the scanned image from a scanned image format to a VRML image format, importing the converted VRML image into a VRML image editor, receiving, from a breast implant database, at least one modeled virtual breast implant, wherein the received virtual breast implant is selected based on a desired actual breast implant that is to be implanted in the preoperative subject, and embedding the received virtual breast implant in the preoperative subject's converted VRML image.