Image Feature Classification Using Multi-View X-Ray Registration
Find Innovative SolutionsGenerate Solutions
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 in surgical procedures where precise image reconstruction is crucial.
Innovation Solution
An imaging system utilizing a movable source and detector that moves relative to the subject, combined with a slotted filter to create multiple x-ray fans, allowing for precise acquisition of projections with reduced parallax, which are then stitched together to form long views or 3D images using machine learning and edge detection algorithms.
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 quality is poor due to parallax distortion and limited viewing angles
Solution Approach 1:
The source and detector are made movable relative to the subject, allowing dynamic acquisition of projections from multiple angles. The source rotates around the subject while the detector remains stationary, enabling collection of projection data at different perspectives to reduce parallax distortion and improve image quality.
Solution Approach 2:
The system transitions from acquiring single 2D projections to collecting 3D projection data by moving the source through multiple angular positions. This dimensional expansion allows reconstruction of three-dimensional images with reduced parallax effects by combining information from multiple viewing angles.
2Measurement precision
If multiple projections are acquired from different perspectives to reduce parallax, then image quality improves, but the acquisition time increases
Solution Approach 1:
The source rotates continuously around the subject while acquiring projections at multiple angular positions without interruption. This continuous motion allows efficient collection of multiple perspective data, reducing total acquisition time compared to discrete, step-by-step imaging approaches.
Solution Approach 2:
The system pre-plans the rotational path and angular positions for source movement before acquisition begins. This preliminary configuration optimizes the trajectory to capture necessary projection data efficiently, minimizing redundant movements and reducing overall acquisition time.
3Area of stationary object
If multiple projections are acquired and stitched together to form long views, then image coverage increases, but processing complexity increases
Solution Approach 1:
The imaging process divides the subject into multiple projection segments acquired at different angles. Each projection captures a specific angular view, and these segmented views are subsequently stitched together to form a complete long view or 3D reconstruction, enabling comprehensive coverage through systematic division.
Solution Approach 2:
The system uses intermediate processing steps including edge detection algorithms and feature identification as mediators between raw projection data and final stitched images. These intermediary processes automatically align and integrate multiple projections, reducing manual processing complexity while maintaining accurate image coverage.
4Measurement precision
If edge detection algorithms and machine learning are used to identify features, then feature identification accuracy improves, but processing time increases
Solution Approach 1:
Edge detection algorithms are applied preliminarily to identify potential features and regions of interest in the projection data before full machine learning analysis. This preliminary edge detection reduces the search space for subsequent machine learning algorithms, improving feature identification accuracy while minimizing overall processing time.
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
Enables accurate and efficient generation of high-quality, three-dimensional images with reduced parallax distortion, facilitating precise surgical procedures and implant placement by providing clear, distortion-free image data.
Implementation Method 1
a first x-ray source to emit a first plurality of x-rays in a first direction toward a first linear array detector
Implementation Method 2
a filter having a plurality of slits or slots through which the x-rays pass and impinge upon the detector
Implementation Method 3
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
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.