Medical Image Segmentation via 2D-to-3D Coordinate Transformation
Solution Overview
Problem
Existing methods for identifying the position of two-dimensional image features in a three-dimensional coordinate system for surgical navigation are computationally inefficient and time-consuming, requiring special hardware.
Innovation Solution
A data processing method that uses a computer to transform medical image data into a positional reference system by acquiring medical image data, navigating medical imaging apparatus and anatomical body part position data, selecting image features, and mapping two-dimensional medical image selection data onto a three-dimensional model of the anatomical body part, allowing for intuitive segmentation and visualization of structures in a three-dimensional coordinate system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If known technologies for identifying the position of two-dimensional image features in a three-dimensional coordinate system are used, then the position identification is achieved, but the computational efficiency is poor and the process is time-consuming
Solution Approach 1:
The patent segments the complex position identification process into distinct steps: acquiring 2D image data, detecting image features, determining their 3D positions through coordinate transformation, and visualizing them in the navigation system. This segmentation allows each step to be optimized independently, improving overall computational efficiency while maintaining accuracy.
Solution Approach 2:
The patent replaces complex mechanical/computational registration systems with a streamlined data processing approach. Instead of using heavy computational algorithms or special hardware for 3D position identification, the invention uses efficient coordinate transformation methods that can be implemented through standard data processing, significantly improving computational efficiency.
2Measurement precision
If known technologies for identifying the position of two-dimensional image features are used, then the position identification is achieved, but special hardware is required
Solution Approach 1:
The patent creates a virtual copy of the 3D anatomical structure through digital image processing and coordinate transformation. Instead of requiring special hardware to physically map 2D images to 3D space, the invention generates a digital representation that can be processed and visualized using standard computing equipment, eliminating the need for specialized hardware.
Solution Approach 2:
The patent develops a universal data processing method that can be implemented on standard computers and integrated into various navigation systems. The coordinate transformation and 3D position identification algorithms are designed to be platform-independent and can work with different imaging modalities, reducing device complexity and eliminating the need for proprietary hardware.
3Manufacturing precision
If manual segmentation of structures in two-dimensional medical images is performed, then accurate three-dimensional visualization is achieved, but the process is time-consuming and complex
Solution Approach 1:
The patent enables the system to automatically perform 3D position identification and visualization by processing 2D image data through coordinate transformation algorithms. The navigation system self-services by automatically calculating the 3D positions of image features and integrating them into the surgical navigation display, eliminating the need for time-consuming manual segmentation while maintaining high accuracy.
Data Source
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AI summary
The invention relates to a data processing method of determining a transformation for transforming medical image data into a positional reference system, the method being executed by a computer and comprising the following steps: a) acquiring, from a medical imaging apparatus (5), medical image data comprising medical image information describing a two-dimensional image of an anatomical body part (1); b) acquiring medical image selection data comprising medical image selection information describing a selection (4) from the medical image information; c) acquiring imaging apparatus characteristic data comprising imaging apparatus characteristic information describing an imaging characteristic of the medical imaging apparatus (5); d) determining, based on the medical image data, medical image selection data and imaging apparatus characteristic data, selection position data comprising selection position information describing a three-dimensional position of an anatomical structure (2) in the anatomical body part (1) corresponding to the selection from the medical image information.