3D Image Cutting Path for Polyp Isolation
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Solution Overview
Problem
Current medical imaging technologies face challenges in accurately cutting three-dimensional images of complex structures like the colon, particularly in differentiating and isolating various types of polyps due to the colon's curved shape and complex texture, limiting the applicability to only pedicled polyps.
Innovation Solution
A method involving constructing a mesh model from medical images, calculating distance field and shape index information, and determining a cutting path using initiation and termination points to isolate target tissues like polyps, which can be applied to various types of polyps, including sessile, pedicled, and flat polyps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional cutting methods based on spherical or semispherical geometric structures are used, then the cutting process is simple, but the applicability is limited to only pedicled polyps
Solution Approach 1:
The patent changes the geometric parameters of the cutting surface from fixed spherical or semispherical shapes to variable shapes defined by quadratic surfaces with adjustable coefficients. This allows the cutting surface to adapt to different polyp morphologies (sessile, pedicled, flat) by modifying the mathematical parameters of the surface equation, thereby improving versatility without requiring multiple different cutting methods.
Solution Approach 2:
The cutting surface is transformed from a static geometric shape to a dynamic surface that can be adjusted based on the actual polyp morphology. The method uses iterative optimization to dynamically determine the optimal cutting surface parameters for each specific case, enabling the system to adapt to various polyp types while maintaining a unified cutting framework.
2Adaptability or versatility
If the cutting method uses complex geometric structures to accommodate various polyp types, then the adaptability improves, but the manufacturing and operational complexity increases
Solution Approach 1:
The patent replaces complex mechanical adjustments with mathematical computations. Instead of physically adjusting cutting tools to match different polyp shapes, the system uses automated algorithms to calculate the optimal cutting surface parameters based on the polyp's geometric features extracted from medical images. This substitution maintains operational simplicity while achieving high adaptability.
Solution Approach 2:
The cutting method performs self-adjustment through automated parameter optimization. The system automatically determines the optimal cutting surface parameters by analyzing the polyp's morphology and iteratively optimizing the quadratic surface equation, eliminating the need for manual intervention or complex operational adjustments by the user.
3Measurement precision
If traditional methods assume uniform polyp shape, then the processing is straightforward, but the measurement precision for different polyp types deteriorates
Solution Approach 1:
The patent applies local quality by allowing different regions of the cutting surface to have different geometric characteristics. The quadratic surface parameters are optimized locally to match the specific morphology of each polyp type, enabling precise fitting to sessile, pedicled, or flat polyps while maintaining a unified mathematical framework that avoids excessive complexity.
Data Source
AI summary
Methods and devices for cutting a three-dimensional image are disclosed. According to one example of the methods, a region of interest may be selected from an original three-dimensional image. A mesh model of the region of interest may be constructed. Then, distance field information and a shape index characteristic value of each mesh point in the mesh model may be obtained. A set of initiation points and a set of termination points may be obtained by splitting the mesh model according to the distance field information. Afterward, a mixed cost value of each mesh point may be obtained according to the distance field information, the shape index characteristic value and an image value of each mesh point. In this way, a cutting path may be determined from the set of initiation points and the set of termination points according to the mixed cost value.