Medical Image Registration with 3D Anatomical Models
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Solution Overview
Problem
Medical imaging presents a challenge due to the non-intuitive nature of two-dimensional (2D) medical images, making it difficult for practitioners to accurately interpret and correlate them with three-dimensional (3D) body anatomy, requiring a more intuitive method for accurate medical evaluation.
Innovation Solution
A method and apparatus for registering a medical image with a 3D model by selecting a 3D model from a database, calibrating it using fiducial markers and scanning images to align external and internal structures, combining global and local calibration for accurate representation, and utilizing artificial neural networks for enhanced correlation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 2D medical images are used for medical imaging, then the imaging process is simple and equipment requirements are low, but the interpretability and correlation with 3D anatomy is poor
Solution Approach 1:
The patent transforms 2D medical images into 3D visual representations by integrating them with 3D anatomical models. The system captures 2D medical images, registers them with corresponding 3D anatomical models, and generates 3D visual representations that display both the medical image data and the anatomical context, enabling practitioners to interpret images more intuitively while maintaining system feasibility.
2Ease of operation
If 3D models are used to represent anatomy, then the intuitiveness and correlation with actual anatomy is improved, but the computational intensity and processing complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing 3D anatomical models in a standardized format before actual medical imaging. The 3D anatomical models are prepared in advance with proper coordinate systems and segmentation, allowing for faster registration and integration during the actual medical imaging process, thereby reducing real-time computational burden.
Solution Approach 2:
The patent applies local quality by focusing computational resources on regions of interest within the 3D anatomical models. The system identifies and processes only the relevant anatomical structures and image regions that correspond to the medical image data, rather than processing entire 3D models, thereby reducing overall computational complexity while maintaining interpretability in critical areas.
3Manufacturing precision
If detailed calibration is performed to align 3D models with actual anatomy, then the accuracy of anatomical representation is improved, but the time and computational resources required increase
Solution Approach 1:
The system performs preliminary calibration actions by pre-aligning 3D anatomical models with standard anatomical reference frames and pre-registering common anatomical landmarks. This preliminary calibration establishes a baseline alignment that reduces the amount of detailed calibration needed during actual use, thereby improving accuracy while reducing time requirements.
Solution Approach 2:
The patent uses copying by creating simplified representative models or templates of common anatomical structures that can be rapidly matched to patient-specific data. These pre-prepared anatomical templates serve as starting points for calibration, allowing the system to achieve accurate alignment more quickly by copying known anatomical patterns rather than building alignments from scratch.
Data Source
AI summary
Described herein is a method of registering a medical image of a subject with a 3D model of a subject, including calibrating the 3D model globally by aligning markers on the subject with corresponding markers on the 3D model; and calibrating the 3D model locally by aligning a scanning image of an internal structure of the subject with a corresponding internal structure of the 3D model. Also described herein is an apparatus of performing the method.