3D 2D Image Registration for Jaw Warping Assessment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current cone-beam computed tomography (CBCT) systems struggle to accurately assess the warping of upper and lower jaws in 3D images, as they lack reference points, making it difficult to determine jaw alignment and warping, especially when only the upper and lower jaw areas are imaged.
Innovation Solution
A method for registering 3D images with 2D images, using landmarks to align and position the 3D images with cephalometric X-ray images, allowing for the generation of a registration image that provides a logical criterion for diagnosis and analysis by matching directions, sizes, and orientations between the two image types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If only small volume CBCT is used to photograph upper and lower jaw areas, then radiation exposure is reduced and equipment cost is lowered, but reference points are lost making it difficult to determine jaw warping
Solution Approach 1:
The patent introduces a 2D cephalometric X-ray image as an intermediary reference that contains stable anatomical landmarks (forehead, nose, chin). This intermediary provides the missing reference framework that enables accurate warping measurement in the 3D CBCT image without requiring a full-face 3D scan, thus maintaining low radiation exposure while improving measurement precision.
2Measurement precision
If full-face CT imaging is performed to obtain reference points for warping assessment, then measurement precision is improved, but radiation exposure and equipment cost increase
Solution Approach 1:
The patent extracts only the essential reference information (2D cephalometric projection with key anatomical landmarks) from the full-face CT imaging process. By taking out just the necessary reference framework rather than performing complete full-face 3D imaging, the system achieves accurate warping measurement while minimizing radiation exposure.
3Loss of information
If 3D CBCT images are used for diagnosis, then three-dimensional structural information is obtained, but lack of reference points makes it difficult to assess jaw alignment and warping
Solution Approach 1:
The patent overlays a 2D cephalometric reference framework onto the 3D CBCT image space, effectively adding a dimensional reference system. This dimensionality integration provides stable reference points (from the 2D projection) within the 3D environment, enabling accurate assessment of jaw alignment and warping while preserving all three-dimensional structural information.
Data Source
AI summary
Provided is a method of performing registration between a plurality of images of different dimensions. The method may be performed by one or more processors of a computing device, and may include primarily positioning a three-dimensional (3D) image by identifying a first landmark in the 3D image, generating a registration image by registration between the primarily positioned 3D image and a two-dimensional (2D) image, and secondarily positioning the registration image.