Multi-Projection X-Ray Imaging for Parallax-Reduced 3D Feature Detection
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Solution Overview
Problem
Existing imaging systems struggle to efficiently generate high-quality, three-dimensional images of subjects with reduced parallax distortion and parallax effects, particularly during surgical procedures, limiting the accuracy of feature identification and placement of implants.
Innovation Solution
An imaging system using a slotted filter to divide x-ray beams into multiple fans, combined with a movable source and detector, allows for the acquisition of multiple projections with reduced parallax distortion, which are then stitched together to form long views or 3D images, utilizing edge detection algorithms and machine learning for feature identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single projection is acquired with a fixed source and detector, then the imaging system is simple and fast, but the image has significant parallax distortion and lacks three-dimensional information
Solution Approach 1:
The imaging system divides the x-ray beam into multiple fans using a slotted filter, creating multiple projections from different angles. This segmentation of the beam allows the system to capture three-dimensional information and reduce parallax distortion without requiring a completely complex multi-source imaging system.
Solution Approach 2:
The source and detector are made movable relative to the subject, allowing dynamic acquisition of multiple projections at different positions. This dynamic capability enables the system to gather three-dimensional data and minimize parallax effects while maintaining operational flexibility.
2Measurement precision
If multiple projections are acquired to reduce parallax distortion, then image quality and 3D information improve, but the acquisition time and processing complexity increase
Solution Approach 1:
The system performs preliminary stitching of multiple projections into a composite long view image before detailed feature analysis. This preliminary processing organizes the multiple projections in advance, making subsequent feature identification more efficient and reducing the overall time required for accurate three-dimensional reconstruction.
Solution Approach 2:
Multiple projections are merged into a single stitched long view image that contains integrated three-dimensional information. This combining process consolidates the data from multiple angles into one comprehensive image, reducing the time needed to analyze multiple separate projections while maintaining accurate feature identification.
3Volume of moving object
If multiple projections are stitched together to form long views, then three-dimensional information is improved, but image distortion and alignment difficulties increase
Solution Approach 1:
The system uses feedback mechanisms to detect and correct alignment errors during the stitching process. By continuously monitoring the alignment of multiple projections and adjusting the stitching parameters accordingly, the system achieves precise three-dimensional reconstruction while minimizing distortion in the final long view image.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides precise, parallax-reduced 3D images for surgical procedures, enabling accurate feature identification and implant placement by minimizing distortion and enhancing image quality.
Implementation Method 1
The different perspectives may be generated due to a parallax effect between different paths of x-rays from a single source to a detector through the subject. The parallax effect may allow for different views of the same position of the subject.
Implementation Method 2
An imaging system may include a movable source and/or detector to create a plurality of projections of a subject
Data Source
AI summary
A method and system is disclosed for analyzing image data of a subject. The image data can be collected with an imaging system in a selected manner and/or motion. The image data may include selected overlap and be acquired with an imaging system that generates a plurality of perspectives for more than one location. An automatic system and method may then define or identify various features and/or allow for registration for alternative image data.