Cardiac MRI Voxel Filtering for Arrhythmia Motion Artifacts
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Solution Overview
Problem
Cardiac MRI images are often distorted by motion-artifacts due to irregular heartbeats, even when ECG gating is used, as it mixes phases of the heart, leading to suboptimal image quality.
Innovation Solution
A method and system that identify and exclude voxel values corresponding to arrhythmic activity by analyzing voxel-value patterns, reconstructing images only from values gated to the same phase of the ECG cycle, and adjusting image reconstruction filters to maintain image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If ECG gating is used to synchronize MRI acquisition with cardiac phases, then temporal resolution and image quality are improved, but motion artifacts increase when arrhythmias occur due to mixing of different cardiac phases
Solution Approach 1:
The system performs preliminary detection of arrhythmic beats by comparing successive ECG-gated voxel values before image reconstruction. By identifying arrhythmias in advance through scatter plot analysis and statistical comparison, the system can exclude contaminated data points before they degrade image quality, thus preventing motion artifacts while maintaining the benefits of ECG gating
Solution Approach 2:
The invention extracts and removes arrhythmic data points from the MRI acquisition dataset. By identifying voxel values that fall outside expected ranges in scatter plots and excluding them from reconstruction, the system separates good data from bad data, eliminating the source of motion artifacts while preserving the majority of useful cardiac phase information
2Object-affected harmful factors
If arrhythmic data points are excluded from image reconstruction, then motion artifacts are reduced, but the number of available data points decreases
Solution Approach 1:
The system applies partial exclusion of data points by removing only those identified as arrhythmic through statistical analysis, rather than excluding all data during arrhythmia periods. This selective approach removes the harmful portion (arrhythmic beats) while retaining the useful portion (normal beats), thus reducing motion artifacts without significantly reducing the total quantity of reconstructable data
Solution Approach 2:
The system uses feedback from continuous monitoring of voxel value patterns and ECG gating information to dynamically identify and exclude only the necessary arrhythmic data points. By comparing successive gated values and detecting deviations from expected patterns, the system provides real-time feedback to determine which data points to exclude, optimizing the balance between artifact reduction and data retention
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
This approach results in MRI images that are relatively free of motion-artifacts, enabling accurate diagnosis and therapy for patients with arrhythmias by filtering out arrhythmic distortions before image reconstruction.
Implementation Method 1
receiving a plurality of voxel values corresponding to respective locations in a heart, which are acquired using magnetic resonance imaging (MRI)
Data Source
AI summary
A method includes receiving a plurality of voxel values corresponding to respective locations in a heart, which are acquired using magnetic resonance imaging (MRI). Voxel values that, in spite of (i) corresponding to a same location in the heart and (ii) being gated to a same phase of an electrocardiogram (ECG) cycle of the heart, differ by more than a predefined difference, are identified. An image of at least a portion of the heart is reconstructed from the plurality of voxel values excluding at least the identified voxel values.