3D Model Generation from 2D Projections
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Solution Overview
Problem
Current three-dimensional imaging techniques for medical images, such as X-ray CT and MR imaging, are expensive and involve significant radiation exposure, limiting their cost-effectiveness and practicality for widespread use.
Innovation Solution
A computer-implemented method generates a three-dimensional representation of an object from a two-dimensional projection image by combining acquisition data from multiple projection images, using techniques like rigid or non-rigid registration, active shape modeling, and active appearance modeling to identify features, thereby providing a more accurate and cost-effective imaging solution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If X-ray CT or MR imaging techniques are used to generate three-dimensional medical images, then three-dimensional information and detailed anatomical features can be obtained, but the cost increases significantly and radiation exposure or expensive equipment requirements arise
Solution Approach 1:
The patent creates a three-dimensional representation by processing and synthesizing data from two-dimensional projection images rather than directly acquiring three-dimensional data through expensive CT or MR scanners. This copying approach uses readily available two-dimensional imaging data to reconstruct three-dimensional information, avoiding the need for costly specialized equipment while maintaining diagnostic utility
Solution Approach 2:
The patent transforms two-dimensional projection image data into a three-dimensional representation by processing multiple two-dimensional images from different angles and synthesizing them into a volumetric dataset. This dimensionality transformation allows extraction of three-dimensional anatomical information from two-dimensional sources, eliminating the need for dedicated three-dimensional imaging equipment
2Measurement precision
If X-ray CT imaging is used to generate three-dimensional images, then detailed anatomical information can be obtained, but large amounts of radiation exposure are required which is undesirable
Solution Approach 1:
Instead of using radiation-intensive CT scanning to directly acquire three-dimensional data, the patent copies and processes information from two-dimensional projection images that have already been captured. This approach reconstructs three-dimensional anatomical information from existing two-dimensional data, completely avoiding additional radiation exposure to the patient
Solution Approach 2:
The patent uses two-dimensional projection images as an intermediary medium to obtain three-dimensional information. Rather than directly exposing the patient to high-dose radiation for CT scanning, the system processes readily available two-dimensional images through computational algorithms to generate three-dimensional representations, using the two-dimensional images as a safe intermediary that carries the necessary information without requiring harmful radiation exposure
3Measurement precision
If MR imaging is used to generate three-dimensional images, then detailed soft tissue information can be obtained, but expensive equipment and long scanning times are required
Solution Approach 1:
The patent creates three-dimensional representations by processing two-dimensional projection images that are captured much more quickly than MR images. By copying and synthesizing information from these rapid two-dimensional captures, the system achieves three-dimensional visualization without the time-consuming MR scanning process, maintaining diagnostic quality while dramatically reducing acquisition time
Data Source
AI summary
A computer-implemented method of generating a model that models a class of objects. The method comprises, for each of a plurality of objects of the class of objects, receiving a first two-dimensional image of the object and first acquisition data, receiving a second two-dimensional image of the object and second acquisition data and receiving data indicating a plurality of points of interest within the object. The first and second two-dimensional images are combined based upon the first and second acquisition data to generate three-dimensional image data, the three-dimensional image data including data based upon the data indicating a plurality of points of interest and the generated three-dimensional image data for each of the objects of the class of objects is processed to generate the model.