Motion Artifact Reduction via Displacement Phase Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional imaging systems fail to effectively correct for motion-related artifacts due to hysteresis effects caused by respiratory motion, leading to inaccuracies in lesion size, location, and quantification, as they ignore the hysteresis effect and assume uniform movement patterns during inspiration and expiration.
Innovation Solution
A multi-modality imaging system that obtains an image data set and a motion signal, determines displacement and phase, and maps the data into a matrix to generate an image, accounting for both displacement and phase variations to reduce artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional imaging systems use respiratory monitoring to correct motion artifacts, then motion correction is achieved, but the hysteresis effect is ignored leading to residual artifacts
Solution Approach 1:
The patent transforms the motion correction approach by changing from using only respiratory phase information to using actual measured displacement values from the motion signal. This parameter change allows the system to account for hysteresis effects by directly measuring the actual position changes rather than relying on assumed uniform movement patterns, thereby resolving the contradiction between motion correction accuracy and artifact reduction reliability.
2Device complexity
If conventional systems assume uniform movement patterns during respiration, then processing is simplified, but hysteresis effects cause increased motion artifacts
Solution Approach 1:
The patent introduces feedback by using the actual motion signal measured during respiration to correct the image data. Instead of assuming uniform movement patterns, the system continuously monitors actual displacement and uses this feedback information to dynamically adjust the motion correction process, thereby achieving precise artifact reduction without excessive complexity.
Solution Approach 2:
The patent performs preliminary action by pre-processing the motion signal to extract displacement and phase information before applying motion correction to the image data. This preliminary extraction of motion characteristics allows the system to prepare correction parameters in advance, simplifying the overall processing while maintaining high precision in artifact correction.
3Object-affected harmful factors
If respiratory monitoring is used for motion correction, then motion artifacts are reduced, but lesion quantification accuracy remains compromised due to hysteresis
Solution Approach 1:
The patent changes the parameter used for motion correction from respiratory phase to actual displacement values derived from the motion signal. This parameter change enables the system to account for hysteresis effects that directly impact lesion position, thereby improving both motion artifact reduction and lesion quantification accuracy simultaneously.
Data Source
AI summary
A method and apparatus are provided for reducing motion related imaging artifacts. The method includes obtaining an image data set of a region of interest in an object, obtaining a motion signal indicative of motion of the region of interest, and determining a displacement and a phase of at least a portion of the motion signal. The method also includes mapping the image data set into a matrix based on the displacement and phase of the motion signal, and generating an image of the region of interest from the matrix.