Organ Deformation Model Estimation Using 3D Shape Models
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Solution Overview
Problem
Current medical imaging technologies face challenges in providing real-time, high-resolution images of organ deformation due to factors like respiration, heartbeat, and movement, often omitting deformation information within narrow visualization regions.
Innovation Solution
A method and apparatus for estimating an organ deformation model by generating 3D organ shape models from non-real-time images, creating a deformation space using prior knowledge, and matching real-time images to this space to estimate accurate deformation models, even with low-resolution images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-cost and high-resolution medical images are used to determine deformation states of organs, then measurement precision is improved, but productivity deteriorates because real-time images cannot be provided
Solution Approach 1:
The system performs preliminary actions by generating 3D organ shape models from non-real-time high-resolution medical images before the actual deformation estimation is needed. These pre-generated models serve as a foundation for rapid real-time deformation analysis, allowing the system to have deformation information ready in advance without waiting for real-time image acquisition
Solution Approach 2:
The system creates simplified 3D organ shape models that copy the essential geometric and topological characteristics of the actual organ from high-resolution images. These models serve as virtual replicas that can be processed rapidly for deformation estimation, replacing the need to directly process expensive real-time high-resolution images while preserving the necessary anatomical information
2Productivity
If medical image apparatuses provide real-time images, then productivity is improved, but measurement precision deteriorates because deformation information is omitted due to narrow visualization region
Solution Approach 1:
The system transitions from 2D real-time medical images to 3D organ shape models for deformation estimation. By adding the third dimension, the system can represent the complete organ geometry and deformation states more comprehensively, overcoming the limited visualization region of 2D images while maintaining real-time processing capability
Solution Approach 2:
The system introduces 3D organ shape models as an intermediary between real-time 2D medical images and deformation state analysis. These models serve as a bridge that captures complete organ deformation information from limited real-time images, allowing comprehensive deformation estimation without directly processing the full complexity of high-resolution images in real-time
3Reliability
If 3D organ shape models with same topology are generated, then reliability is improved through consistent vertex connections, but device complexity increases
Solution Approach 1:
The system changes key parameters of the 3D organ shape models, specifically standardizing the topology, vertex connections, and edge structures across all generated models. By controlling these geometric parameters to be consistent, the system ensures reliable deformation estimation while managing complexity through parameter standardization rather than complex processing algorithms
Data Source
AI summary
A method of estimating an organ deformation model includes generating at least one 3D organ shape model of an organ of a subject based on at least one non-real time medical image representing a deformation state of the organ of the subject; generating a deformation space for the organ of the subject based on the at least one 3D organ shape model and prior knowledge regarding the organ; and estimating a 3D organ deformation model of the organ of the subject based on a real-time medical image of the organ of the subject and the deformation space.