3D Organ Image Deformation With Correspondence-Point Volume Rendering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for displaying three-dimensional images, such as those from CT or MRI, either lose internal tissue information or incur high calculation costs when deforming and rendering these images.
Innovation Solution
An image processing apparatus that derives correspondence points on a three-dimensional organ image to use pixel values for volume rendering, allowing deformation of a solid mesh model while reducing calculation costs by associating points between deformed and original images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If volume rendering method is used to display internal tissue information in three-dimensional images, then internal tissue information is preserved, but calculation cost increases significantly
Solution Approach 1:
The patent segments the three-dimensional image data into a solid mesh model representing the organ surface and separate volume data representing internal tissues. This segmentation allows different rendering approaches to be applied to different parts: the solid mesh model can be deformed efficiently while volume rendering is applied selectively to display internal tissue information, avoiding the need to perform expensive volume rendering on the entire deformed three-dimensional image.
Solution Approach 2:
The patent performs preliminary actions by pre-processing the three-dimensional image into a solid mesh model and pre-calculating correspondence points between the original and deformed states. By preparing the mesh model and correspondence relationships in advance, the system avoids performing computationally intensive volume rendering operations on already-deformed data, thereby reducing real-time calculation costs while preserving internal tissue information.
2Ease of operation
If solid mesh model deformation is performed to simulate surgical operations, then ease of operation is improved, but internal tissue information is lost
Solution Approach 1:
The patent segments the representation into a solid mesh model for deformation operations and separate volume data for internal tissue information. The solid mesh model can be freely deformed to simulate surgical operations, while the volume data remains intact and can be rendered to display internal tissues, thus maintaining both ease of operation and information preservation.
Solution Approach 2:
The patent introduces correspondence points as an intermediary between the solid mesh model and the volume data. These correspondence points establish a mapping relationship that allows the deformed solid mesh model to be associated with the original volume data, enabling internal tissue information to be displayed in the deformed state without requiring direct deformation of the volume data itself.
3Manufacturing precision
If three-dimensional organ image is deformed directly for volume rendering, then accuracy of deformation is improved, but calculation cost increases
Solution Approach 1:
The patent segments the deformation process from the rendering process. The solid mesh model is deformed with high precision to achieve accurate surgical simulation, while the volume rendering is performed separately using correspondence points to map internal tissue information onto the deformed mesh, avoiding the need to deform and render the entire three-dimensional image at once.
Solution Approach 2:
The patent creates a copy of the three-dimensional image in the form of a solid mesh model for deformation operations. This mesh model copy can be deformed accurately without affecting the original volume data. The correspondence points then serve to map the deformed mesh back to the original volume data, preserving deformation accuracy while avoiding the computational burden of deforming and rendering the full three-dimensional image.
Data Source
AI summary
A processor is configured to: acquire a three-dimensional organ image; derive correspondence points on the three-dimensional organ image, the correspondence points respectively corresponding to sampling points when volume rendering of a deformed three-dimensional organ image to which the three-dimensional organ image is deformed is to be performed; and use pixel values at the correspondence points on the three-dimensional organ image as pixel values at the sampling points to derive a rendering image which is to be acquired by performing the volume rendering of the deformed three-dimensional organ image.