Near-Infrared Imaging in vivo (I): Image Restoration Technique Applicable to the NIR Projection Images

How to detect and reduce movement artifacts in near-infrared imaging using moving standard deviation and spline interpolation

“…Since Jöbsis (1977) first demonstrated the possibility of non-invasively measuring changes in concentrations of oxyhemoglobin ( [O 2 Hb]), deoxyhemoglobin ( [HHb]) and total hemoglobin ( [tHb] = [HHb] + [O 2 Hb]) in the human brain using near-infrared spectroscopy (NIRS), this technique has been continuously developed and the scope of applications in medicine and neuroscience expanded (Boushel et al 2001, Ferrari et al 2004, Wolf et al 2007, Hoshi 2007, Hamaoka et al 2007, Muehlemann et al 2008, Gibson and Dehghani 2009. In this context the term 'near-infrared imaging' (NIRI) (Araki and Nashimoto 1992a, 1992b, Ferrari et al 1993, Wolf et al 2007 was introduced.…”

Simultaneous integrated diffuse optical tomography and functional magnetic resonance imaging of the human brain

“…However, practical achievements in three-dimensional tomography of adult human brain [6][7][8][9][10][11], i.e. the spatial localization of optical properties and their changes, have been significantly more modest than the results of purely spectroscopic [8,[12][13][14][15][16][17] and two-dimensional mapping [18][19][20][21] studies. The latter have exploited the ability of near infrared (NIR) spectroscopy to provide direct measurement of oxy-and deoxy-hemoglobin concentrations, as well as detection of the fast neuronal responses with millisecond time resolution [17].…”