Deformable 3D Organ Models from Aggregated 2D Imaging
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Solution Overview
Problem
Surgical simulation platforms are limited in capabilities, scope, and applicability, acting as technology silos that hinder integration into broader surgical processes such as pre-operative planning, intra-operative support, and post-operative analysis.
Innovation Solution
A computing device that generates 3D image data from aggregated 2D image data of human organs using structured light imaging, maps deformable 3D models to spatial and visual information, and deforms the models based on tissue property data, enabling accurate simulation of surgical procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple 2D images from different patients are aggregated to create 3D models, then the accuracy and realism of surgical simulations is improved, but the device complexity and data processing requirements increase
Solution Approach 1:
The patent combines multiple 2D images from different patients into a single aggregated 3D model. The processor receives first 2D image data from a first patient and second 2D image data from a second patient, then generates 3D image data by aggregating these multiple data sources. This merging approach improves the accuracy and realism of the surgical simulation model by incorporating anatomical variations from multiple subjects.
Solution Approach 2:
The surgical simulation platform is designed to handle multiple types of input data (2D images from different patients, 3D reconstruction reference data) and perform multiple functions (generating 3D models, mapping deformable surfaces, simulating surgical procedures). The system can process and integrate various data sources to create universally applicable surgical training simulations that represent diverse anatomical structures.
2Adaptability or versatility
If deformable 3D models are used to simulate tissue behavior, then the realism of surgical training is improved, but the computational requirements and processing time increase
Solution Approach 1:
The system performs preliminary processing by receiving and storing 3D reconstruction reference data and tissue property data before the actual surgical simulation occurs. The deformable 3D model is pre-configured with anatomical structures and material properties, so that during the surgical training exercise, the model can respond realistically to surgical interventions without requiring extensive real-time computation.
Solution Approach 2:
The patent implements a deformable 3D model that can dynamically change shape and properties in response to simulated surgical forces. The model maps surface deformations based on tissue property data, allowing realistic simulation of how different tissues (e.g., liver, kidney, tumor) respond to cutting, grasping, or other surgical maneuvers. This dynamic behavior enhances training realism while the system optimizes computation to maintain acceptable processing speeds.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Improves the accuracy of 3D model shape and surface detail, allowing for realistic surgical simulations that enhance training and planning.
Implementation Method 1
The first 2D image data may include first 2D visible image data captured inside the first patient and first three-dimension (3D) reconstruction reference data. The first 2D image data may be captured using structured light imaging.
Data Source
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AI summary
A computing device for simulating a surgical procedure may be configured to receive first two-dimensional (2D) image data of a first human organ of a first patient and second 2D image data of a second human organ of a second patient. The computing device may be configured to generate 3D image data from an aggregation of the first 2D image data and the second 2D image data and based on 3D reconstruction reference data. The computing device may be configured to map a shape of a deformable 3D model of a simulated human organ to correspond to the spatial information of the 3D image data. The computing device may be configured to map a surface of the deformable 3D model of the simulated human organ to correspond to the visual information of the 3D image data. The computing device may be configured to output the deformable 3D model.