Eigenvector-based spatial filtering for reduction of physiological interference in diffuse optical imaging.

By Yiheng Zhang, D. Brooks, Maria Angela Franceschini, David A. Boas. Journal of Biomedical Optics, 2005

363 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/5d473c7dd865b4f9b356999286aaf8f9d336efb4

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In Biomedical Engineering

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

How to detect and reduce movement artifacts in near-infrared imaging using moving standard deviation and spline interpolation (2010, methodology): “According to the results presented by Zhang et al (2005), Wilcox et al (2005) and Nozawa and Kondo (2009), these methods work quite well.”
Temporal Derivative Distribution Repair (TDDR): A motion correction method for fNIRS (2018, neutral): “In this method, the set of fNIRS channels are submitted to PCA (Pearson, 1901), a decomposition in which the set of input signals are transformed into an orthogonal set of principal components.”
Progress of near-infrared spectroscopy and topography for brain and muscle clinical applications. (2007, background): “ological contributions to the evoked hemoglobin-related signals.(111) Independent component analysis(112) and the continuous wavelet transform(113) have been proposed to detect”
Short separation channel location impacts the performance of short channel regression in NIRS (2011, methodology): “, 2003), principal component analysis (Franceschini et al., 2006; Zhang et al., 2005) and wavelet filtering (Jang et al.”
Motion artifacts in functional near-infrared spectroscopy: A comparison of motion correction techniques applied to real cognitive data (2014, methodology): “Hence, removing the first M components from the signal should correct for the motion artifacts (Zhang et al., 2005).”
fNIRS-based brain-computer interfaces: a review (2015, methodology): “Physiological noises include those due to heartbeat (1∼1.5 Hz), respiration (0.2∼0.5 Hz), Mayer waves (∼0.1 Hz), which are related to blood pressure fluctuations (Boas et al., 2004a,b; Zhang et al., 2005; Franceschini et al., 2006; Huppert et al., 2009).”
A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology (2014, methodology): “…component analysis (PCA) (Franceschini et al., 2006; H. Zhang et al., 2010; H. Zhang et al., 2011; Mäki et al., 2010; Sitaram et al., 2007; Soe and Nakagawa, 2008; Virtanen et al., 2012; Y. Zhang et al., 2005) were also developed to address the obstacle of how to remove systemic interferences.”
The NIRS Brain AnalyzIR Toolbox (2018, methodology): “The PCA filter is implemented as described in Zhang et al. 2005 [38].”
A quantitative comparison of NIRS and fMRI across multiple cognitive tasks (2010, neutral): “We used the contrast-to-noise ratio (CNR) to quantify the signalto-noise ratio (Zhang et al., 2005b) in both the fMRI and NIRS time courses.”
Statistical analysis of fNIRS data: A comprehensive review (2014, neutral): “…compared the performance of the four motion correction methods, including Kalman filtering (Izzetoglu et al., 2010), wavelet-based filtering (Molavi and Dumont, 2012), spline interpolation (Scholkmann et al., 2010), and principal component analysis (Wilcox et al., 2008, 2010; Zhang et al., 2005).”
Illuminating the developing brain: the past, present and future of functional near infrared spectroscopy. (2010, methodology): “…systemic variables can also be accounted for using principal components analysis (PCA), by characterizing the systemic physiology features during the pre-stimulus control period and then removing the systemic components in the experimental task period (Tachtsidis et al., 2008; Zhang et al., 2005).”
A Wearable Multi-Channel fNIRS System for Brain Imaging in Freely Moving Subjects (2013, methodology): “…in the raw data based on a simple stability criterion, the HbO 2 signal is much more sensitive to the physiological artifacts of the cardiac modulations caused by strenuous physical exercise (Boas et al., 2004; Huppert et al., 2009; Kirilina et al., 2012; Leff et al., 2011; Zhang et al., 2005).”