对比数据驱动的denoising方法的有效性,用于7T的多回声fMRI获取
Abraham B Beckers1, Gerhard S Drenthen2, Jacobus F A Jansen2
1Department of Internal Medicine, Division of Gastroenterology-Hepatology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands.
NeuroImage
|September 5, 2023
概括
多回声独立组件分析 (ME-ICA) 与基于解剖组件的校正 (aCompCor) 结合,有效地否定了超高场fMRI数据. 与ICA-AROMA等其他方法相比,这种方法保留了更多的感兴趣信号.
科学领域:
- 神经成像是一种神经成像.
- 磁共振成像是一种磁共振成像技术.
- 脑干神经成像 脑干神经成像
背景情况:
- 功能性磁共振成像 (fMRI) 信号容易受到来自生理,运动和热源的噪声的影响.
- 超高强度磁场 (例如7T) fMRI提供了更好的空间精度,特别有利于脑干成像.
- 随着场强度的增加,生理噪声也会增加,这就需要对脑干fMRI进行有效的无声化策略.
研究的目的:
- 为了比较多重回声fMRI数据在超高场强度 (7T) 的各种无声化方法的有效性.
- 将多回声独立组件分析 (ME-ICA) 与 aCompCor 和 ICA-AROMA 等其他数据驱动方法进行评估.
- 评估无噪声对数据质量指标和消除生理噪声的能力的影响.
主要方法:
- 无声化方法的比较:ME-ICA,基于解剖组件的校正 (aCompCor) 和自动移除运动器件 (ICA-AROMA) (侵略性和非侵略性).
- 使用时间信号噪声比率 (tSNR),DVARS和光谱特性等指标评估数据质量.
- 评估方法能够将全球信号与呼吸脱的能力.
主要成果:
- ME-ICA,其次是aCompCor,展示了优越的后处理方法来消除空间扩散噪声.
- 与aCompCor和积极的ICA-AROMA相结合的ME-ICA在拒绝7T多回声fMRI数据方面非常有效.
- 具有aCompCor的ME-ICA可能比具有侵略性的ICA-AROMA保留了更多的兴趣信号.
结论:
- ME-ICA与aCompCor相结合,是超高场,多回声fMRI的高效无声化策略.
- 这种综合方法在保护神经信号的同时,在7T时减轻噪声方面提供了优势.
- 这些发现支持使用ME-ICA和aCompCor进行高级脑干fMRI研究.
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Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
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