Factors affecting the accuracy of near-infrared spectroscopy concentration calculations for focal changes in oxygenation parameters
By G. Strangman, Maria Angela Franceschini, David A. Boas. NeuroImage, 2003
583 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Surgery
View Paper: https://www.semanticscholar.org/paper/c0daa9a0f5145d17ed006c790c86a43261483304
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Clare E. Elwell
- Theodore J. Huppert
- David A. Boas
- Sarah Lloyd-Fox
- Anna Blasi
- Robert J. Cooper
- Louis Gagnon
- Simon Robert Arridge
In Radiology, Nuclear Medicine and Imaging
- Clare E. Elwell
- David A. Boas
- Theodore J. Huppert
- Sarah Lloyd-Fox
- Anna Blasi
- Robert J. Cooper
- Louis Gagnon
- Simon Robert Arridge
In Surgery
- Theodore J. Huppert
- David A. Boas
- S. G. Diamond
- R. Hoge
- Maria Angela Franceschini
- A. M. Dale
- Robert J. Cooper
- Louis Gagnon
Citations in the corpus
- Illuminating the developing brain: the past, present and future of functional near infrared spectroscopy. (2010, background): “Several studies have suggested paired wavelengths of approximately 690nm and 830nm are optimal (Yamashita et al,. 2001, Strangman et al., 2003, Boas et al., 2004 and Sato et al., 2004).”
- Recent advances in diffuse optical imaging (2005, background): “Recently, Yamashita et al (2001) Strangman et al (2003) and Boas et al (2004a) have shown experimentally and theoretically that a pair of wavelengths at 660–760 nm and 830 nm provides superior separation between HHb and HbO than the more commonly used 780 and 830 nm. Pifferi et al (2003) and Taroni…”
- Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy. (2004, methodology): “Most published optical results of functional brain activation studies are based on two wavelength measurements, and evidence suggests that two wavelengths can provide sufficient accuracy (Sato et al., 2004; Strangman et al., 2003; Yamashita et al., 2001).”
- Infant's brain responses to live and televised action (2006, background): “, 690 nm) to avoid cross talk between oxy-Hb and deoxy-Hb (Uludag et al., 2004; Strangman et al., 2003), and by choosing the best combination of wavelengths, the signal-to-noise ratio in the NIRS measurements may be improved.”
- Functional near-infrared spectroscopy: current status and future prospects. (2007, background): “Recently, cross talk between the estimated oxy-Hb and deoxy-Hb concentrations has been intensively studied.(72,86) The estimated concentration change estim is expressed by Eq.”
- Brain–computer interface using a simplified functional near-infrared spectroscopy system (2007, background): “algorithm. By choosing optimum wavelengths of light, the Hb signal integrity may be improved [ 24 ].”
- The modified Beer–Lambert law revisited (2006, background): “Optimal wavelength combinations have been reported for the dualwavelength case, where these errors are minimal (Strangman et al 2003, Uludag et al 2004).”
- A temporal comparison of BOLD, ASL, and NIRS hemodynamic responses to motor stimuli in adult humans (2006, methodology): “As pointed out by previous researchers (Uludag et al., 2002, 2004; Strangman et al., 2003), differing partial volume factors arising from the source detector positions relative to site of activation, depth of activation, scalp and skull thickness, and baseline optical properties can all potentially…”
- Assessment of the cerebral cortex during motor task behaviours in adults: A systematic review of functional near infrared spectroscopy (fNIRS) studies (2011, background): “The few studies that have explored response repeatability have significant study design limitations (Bhambhani et al., 2006; Claassen et al., 2006; Durduran et al., 2004; Kameyama et al., 2006; Plichta et al., 2007; Strangman et al., 2006; Wolf et al., 2002).”
- A quantitative comparison of NIRS and fMRI across multiple cognitive tasks (2010, unknown): “Concurrent measurement of physiological responses could help to reduce such errors (Tachtsidis et al., 2009; Glover et al., 2000); also see Strangman et al., 2003) for a discussion of additional sources of error in NIRS signal.”
- Diffuse correlation spectroscopy for non-invasive, micro-vascular cerebral blood flow measurement (2013, unknown): “…the partial volume related systematic errors/corrections (Boas et al., 2001; Dehaes et al., 2011; Okada and Delpy, 2003a,b; Saager and Berger, 2005; Strangman et al., 2003; Tamura et al., 1997) endemic to NIRS/DOS also arise in DCS and DCT and must be carefully considered (Boas, 1996; Durduran,…”
- A Systematic Comparison of Motion Artifact Correction Techniques for Functional Near-Infrared Spectroscopy (2012, methodology): “Guided by the values of these parameters applied in previous publications, σ_PCA was varied from 50 to 99.9%, p_Spline was varied from 0 to 1, and α_Wav was varied from 0.01 to 0.8.”