The ICARE algorithm, based on independent component analysis, provided accurate QRS detection for efficient MRI triggering without requiring a connection to the MR system.
Does the ICARE method improve ECG signal enhancement and QRS detection during MRI without connecting to the MR system?
The ICARE method provides a novel, real-time approach for ECG artefact reduction during MRI that does not require direct connection to the MR scanner.
Electrocardiogram (ECG) is required during magnetic resonance (MR) examination for monitoring patients under anaesthesia or with heart diseases and for synchronizing image acquisition with heart activity (triggering). Accurate and fast QRS detection is therefore desirable, but this task is complicated by artefacts related to the complex MR environment (high magnetic field, radio-frequency pulses and fast switching magnetic gradients). Specific signal processing has been proposed, whether using specific MR QRS detectors or ECG denoising methods. Most state-of-the-art techniques use a connection to the MR system for achieving their task, which is a major drawback since access to the MR system is often restricted. This paper introduces a new method for on-line ECG signal enhancement, called ICARE, which takes advantage of using multi-lead ECG and does not require any connection to the MR system. It is based on independent component analysis (ICA) and applied in real time. This algorithm yields accurate QRS detection for efficient triggering.
Oster et al. (Wed,) conducted a other in ECG monitoring during MRI. ICARE (independent component analysis-based artefact reduction) was evaluated on Accurate QRS detection for efficient triggering. The ICARE algorithm, based on independent component analysis, provided accurate QRS detection for efficient MRI triggering without requiring a connection to the MR system.
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