Independent component analysis-based artefact reduction: application to the electrocardiogram for improved magnetic resonance imaging triggering
Independent component analysis-based artefact reduction: application to the electrocardiogram for improved magnetic resonance imaging triggering
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DOI：
10.1088/0967-3334/30/12/007
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发表时间：
2009-12-01
影响因子：
3.2
通讯作者：
Felblinger, Jacques
中科院分区：
文献类型：
--
作者：
Oster, Julien;Pietquin, Olivier;Felblinger, Jacques
磁共振 (MR) 检查期间需要进行心电图 (ECG)，以监测麻醉下或患有心脏病的患者，并将图像采集与心脏活动同步（触发）。因此，需要准确、快速的 QRS 检测，但这项任务因与复杂 MR 环境（高磁场、射频脉冲和快速切换磁梯度）相关的人为因素而变得复杂。已经提出了特定的信号处理，无论是使用特定的 MR QRS 检测器还是 ECG 去噪方法。大多数最先进的技术都使用与 MR 系统的连接来完成其任务，这是一个主要缺点，因为对 MR 系统的访问通常受到限制。本文介绍了一种称为 ICARE 的在线 ECG 信号增强新方法，该方法利用了多导联 ECG 的优势，并且不需要与 MR 系统进行任何连接。它基于独立成分分析（ICA）并实时应用。该算法可产生准确的 QRS 检测，从而实现高效触发。
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.