Year Publication Application(s)

Sample of Peer-Reviewed Publications Using NIRx Systems/Software 2000-2014
Year
2014
2014
Publication
Application(s)
I.W. Selesnick, H.L. Graber, D.S. Pfeil, and R.L. Barbour, "Simultaneous low-pass filtering and total variation
Alogrithmic data analysis
denoising," IEEE Transactions on Signal Processing, in press. Copyright Institute of Electrical and Electronics Engineers,
filtering for NIRS
Inc, Vol. 85, pp. 64
neuroimaging
S.K. Piper, C. Habermehl, C.H. Schmitz, W.M. Kuebler, H. Obrig, J. Steinbrink, and J. Mehnert, "Towards whole-body
fNIRS fluorescence imaging
fluorescence imaging in humans," PLoS ONE, Vol. 8, e83749 (2014)
using indocyanine green
N.F. Schreiter, N. Volkwein, P. Schneider, M.H. Maurer, S.K. Piper, *C.H. Schmitz, and A. Poellinger, “Optical imaging
2013
of breast cancer using hemodynamic changes induced by Valsalva maneuver,” Fortschritte auf dem Gebiet der
Breast cancer
Röntgenstrahlen und der bildge
Helmich, R. Rein, N. Niermann, and H. Lausberg, “Hemispheric differences of motor execution: A near-infrared
2013
spectroscopy study, “Advances in Experimental Medicine and Biology 789, 59-64, doi: 10.1007/978-1-4614-7411-1_9
Cognitive motor control
(2013).
S.K. Piper, A. Krueger, S.P. Koch, J. Mehnert, C. Habermehl, J. Steinbrink, H. Obrig, and *C.H. Schmitz, “A wearable
2013
multi-channel fNIRS system for brain imaging in freely moving subjects,” Neuroimage, doi:pii: S1053-8119(13)00700-3.
10.1016/j.neuroimage.
Freely moving studies with
NIRSport
J. Mehnert, M. Brunetti, J. Steinbrink, M. Niedeggen, and C. Dohle, “Effect of a mirror-like illusion on activation in the
2013
precuneus assessed with functional near-infrared spectroscopy,” J. Biomedical Optics 18(6), 066001. doi:
Stroke therapy
10.1117/1.JBO.18.6.066001 (
2013
J. Mehnert, A. Akhrif, S. Telkemeyer, S. Rossi, *C.H. Schmitz, J. Steinbrink, I. Wartenburger, H. Obrig, and S. Neufang,
Child studies – early
“Developmental changes in brain activation and functional connectivity during response inhibition in the early
childhood cognitive
childhood brain,”Brain
development
M.L. Flexman, H.K. Kim, J.E. Gunther, E. Lim, M.C. Alvarez, M.C. Alvarez, E. Desperito, K. Kalinsky, D. Hershman, and
2013
A, H. Hielscher, “Optical biomarkers for breast cancer derived from dynamic diffuse optical tomography,” J.
Biomedical Optics 18(9), 0960
Z.J. Lin, M. Ren, L .Li, Y. Liu, J. Su, S.H. Yang, and H. Liu, “Interleaved imaging of cerebral hemodynamics and blood
2013
flow index to monitor ischemic stroke and treatment in rat by volumetric diffuse optical tomography,” Neuroimage, in
press. (2013)
2013
2012
2012
2012
2012
2012
2012
2012
2012
2011
2011
www.nirx.net
Small animal – rat studies for
stroke
Brain Computer Interface –
controller”, PLoS ONE 8(7), e69541 (2013).
Neurofeedback
M. Aqila,, K.-S. Hong, M.-Y. Jeong, and S.S. Ge, “Cortical brain imaging by adaptive filtering of NIRS
signals,” Neuroscience Letters 514, 35-41 (2012).
Alogrithmic data analysis
filtering for NIRS
neuroimaging
V.C. Kavuri, Z.-J. Lin, F. Tian, and H. Liu, “Sparsity enhanced spatial resolution and depth localization in diffuse optical
tomography,” Biomedical Optics Express 3(5), 943-957 (2012).
Alogrithmic data analysis
filtering for NIRS
neuroimaging
M. Aqil, K.-S. Hong, M.-Y. Jeong, and S.S. Ge, “Detection of event-related hemodynamic response to neuroactivation by
Event related behavior
dynamic modeling of brain activity,” NeuroImage 63, 553-568 (2012).
modeling
X.-S. Hu, K.-S. Hong, and S.S. Ge, “fNIRS-based online deception decoding,” J. Neural Engineering 9, 026012 (2012).
Lie-deceit detection
S. Fazli, J. Mehnert, J. Steinbrink, G. Curio, A. Villringer, K.R. Müller, and B. Blankertz, “Enhanced performance by a
hybrid NIRS-EEG brain computer interface,” Neuroimage59(1), 519-529, doi: 10.1016/j.neuroimage.2011.07.084 (2012).
Brain Computer Interface
C. Habermehl, S. Holtze, J. Steinbrink, S.P. Koch, H. Obrig, J. Mehnert, and *C.H. Schmitz, “Somatosensory activation of
Finger-tapping study shows
two fingers can be discriminated with ultrahigh-density diffuse optical tomography,” NeuroImage 59, 3201-3211 (2012).
benefits of NIRS tomography
S. Waldert, L. Tüshaus, C.P. Kaller, and C. Mehring, “fNIRS exhibits weak tuning to hand movement direction,” PLoS
ONE 7(11): e49266. doi:10.1371/journal.pone.0049266 (2012).
Interpretation of neurofeedback during movement
studies
J. W. He, F. Tian, H. Liu, Y.B. Peng, “Cerebrovascular responses of the rat brain to noxious stimuli as examined by
Small animal – rat studies for
functional near-infrared whole brain imaging,” J. Neurophysiology 107, 2853-2865 (2012).
pain
J.D. Nichols, and M.E. Pflieger, “A programmable laboratory testbed in support of evaluation of functional brain
activation and con
2012
biomarkers in breast imaging
M M. DiStasio and J. T. Francis, “Use of frontal lobe hemodynamics as reinforcement signals to an adaptive
*R.L. Barbour, *H.L. Graber, Y. Xu, Y. Pei, *C.H. Schmitz, D.S. Pfeil, A. Tyagi, R. Andronica, D.C. Lee, *S.-L. S. Barbour,
2012
Optical tomography:
*A. Ewald, S. Aristei, G. Nolte, and R. Abdel Rahman, "Brain oscillations and functional connectivity during overt
language production," Frontiers in Psychology, Vol. 3, Article 166 (2012).
NIRx technology platform for
NIRS imaging
Language study
X.-S. Hua, K.-S. Hong, and S.S. Ge, “Recognition of stimulus-evoked neuronal optical response by identifying chaos
Recognition of the NIRS fast
levels of near-infrared spectroscopy time series,”Neuroscience Letters 504, 115-120 (2011).
signal
F. Tian, H. Niu, B. Khan, G. Alexandrakis, K. Behbehani, and H. Liu, “Enhanced functional brain imaging by using
Alogrithmic data analysis
adaptive filtering and a depth compensation algorithm in diffuse optical tomography,” IEEE Transactions on Medical
filtering for NIRS
Imaging 30, 1239-1251 (2011
neuroimaging
Page 1 of 3
Rev. 2014-02-05
Sample of Peer-Reviewed Publications Using NIRx Systems/Software 2000-2014
Year
2011
Publication
H. Niu, S. Khadk, F. Tian, Z.-J. Lin, C. Lu, C. Zhu, and H. Liu, “Resting-state functional connectivity assessed with two
diffuse optical tomographic systems,” J. Biomedical Optics 16(4); 046006 (2011).
G. Litscher, G. Bauernfeind, X. Gao, G. Mueller-Putz, L. Wang, W. Anderle, I. Gaischek, D. Litscher, C. Neuper, and R.C.
2011
Niemtzow, “Battlefield acupuncture and near-infrared spectroscopy—Miniaturized computer-triggered electrical
stimulation of battlefiel
2011
2011
2011
2010
activation during use of
battlefield acupuncture
fNIRS fluorescence imaging
using indocyanine green
M.L. Flexman, M.A. Khalil, R. Al abdi, H.K. Kim, C.J. Fong, E. Desperito, D.L. Hershman, *R.L. Barbour, and A.H.
Optical tomography: breast
Hielscher, “Digital optical tomography system for dynamic breast imaging,” J. Biomedical Optics 16, 076014 (2011).
imaging
R. Al abdi, *H.L. Graber, Y. Xu, and *R.L. Barbour, “Optomechanical imaging system for breast cancer detection,” J.
Optical tomography: breast
Optical Society of America A 28, 2473-2493 (2011).
imaging
near-infrared breast imaging using indocyanine green for detection and characterization of breast lesions,” Fortschritte
Optical tomography: breast
imaging
X.-S. Hu, K.-S. Hong, S.S. Ge, and Myung-Yung Jeong, “Kalman estimator- and general linear model-based on-line brain
Real-time NIRS processing -
activation mapping by near-infrared spectroscopy,”BioMedical Engineering OnLine 9, 82-96 (2010).
Kalman Estimator and GLM
F.C. Robertson, T.S. Douglas, and E.M. Meintjes, “Motion artifact removal for functional near infrared spectroscopy: A
NIRS analysis methodology:
comparison of methods,” IEEE Transactions on Biomedical Engineering 57(6), 1377-1387 (2010).
maximizing SNR
resolution optical functional mapping of the human somatosensory cortex,” Frontiers in Neuroenergetics 2, Article 12
(2010).
2009
NIRS imaging of Brain
human brain using ICG,” Optics Express 19, 18636-18644 (2011).
S.P. Koch, C. Habermehl, J. Mehnert, *C.H. Schmitz, S. Holtze, A. Villringer, J. Steinbrink, and H. Obrig, “High2010
with fMRI
C. Habermehl, *C.H. Schmitz, and J. Steinbrink, “Contrast enhanced high-resolution diffuse optical tomography of the
auf dem Gebiet
2010
analysis in NIRS compared
(electrical stimulation)
P. Schneider, S.K. Piper, *C.H. Schmitz, N.F. Schreiter, N. Volkwein, L. Lüdemann, U. Malzahn, A. Poellinger, “Fast 3D
2011
Application(s)
Functional connectivity
High-resolution NIRS
imaging
G.W. Wylie, *H.L. Graber, G.T. Voelbel, A.D. Kohl, J. DeLuca, *Y. Pei, *Y. Xu, and *R.L. Barbour, “Using co-variations in
Visual activation analysis
the Hb signal to detect visual activation: A near infrared spectroscopic imaging study,” NeuroImage 47, 473-481 (2009).
with NIRS
A.V. Medvedev, J. Kainerstorfer, S.V. Borisov, *R.L. Barbour, and J. VanMeter, “Event-related fast optical signal in a
2008
rapid object recognition task: Improving detection by the independent component analysis,” Brain Research 1236, 145-
Visual object recognition
158 (2008).
2007
2007
2007
2006
J.M. Lasker, J.M. Masciotti, M. Schoenecker, *C.H. Schmitz, and A.H. Hielscher, "Digital-signal-processor-based
dynamic imaging system for optical tomography," Review of Scientific Instruments, Vol. 78, 083706 (2007).
Digital NIRS system
overview and comparison to
analog
Y. Xu, H.L. Graber, and *R.L. Barbour, "An image correction algorithm for functional 3D DOT brain imaging," Applied
NIRS analysis methodology:
Optics, Vol. 46, pp. 1693-1704 (2007).
image correction algorithm
H.L. Graber, Y. Xu, and *R.L. Barbour, "An image correction scheme applied to functional DOT scattering
images," Applied Optics, Vol. 46, pp. 1705-1716 (2007).
NIRS analysis methodology:
linear algorithm for
enhancing tomography
C.H. Schmitz, H.L. Graber, and *R.L. Barbour, "Peripheral Vascular Noninvasive Measurements," in Encyclopedia of
Medical Devices and Instrumentation, 2nd Edition, J. G. Webster, Ed. (Wiley-Interscience, Hoboken, NJ 2006).
Monitoring peripheral
vasculature, perpheral
vasculature disease.
C.H. Schmitz, D.P. Klemer, R.E. Hardin, M.S. Katz, Y. Pei, H.L. Graber, M.B. Levin, R.D. Levina, N.A. Franco, W.B.
2005
Solomon, and R.L. Barbour, “Design and implementation of dynamic near-infrared optical tomographic imaging
Breast imaging
instrumentation for simultaneous
2005
2005
C.H. Schmitz, H.L. Graber, Y. Pei, M.B. Farber, M. Stewart, R.D. Levina, M.B. Levin, Y. Xu, and R.L. Barbour, “Dynamic
studies of small animals with a four-color DOT imager,”Review of Scientific Instruments 76, 094302 (2005).
Y. Xu, Y. Pei, H.L. Graber, and R.L. Barbour, "Image quality improvement via spatial deconvolution in optical
Optical Tomography
tomography: Time-series imaging," J. Biomedical Optics, Vol. 10, 051701 (2005)
methodology
Y. Xu, H.L. Graber, Y. Pei, and R.L. Barbour, "Improved accuracy of reconstructed diffuse optical tomographic images
2005
by means of spatial deconvolution: two-dimensional quantitative characterization," Applied Optics, Vol. 44, pp. 21152139 (2005).
2005
2004
www.nirx.net
Animal imaging
Optical Tomography
methodology
H.L. Graber, Y. Xu, Y. Pei, and R.L. Barbour, "Spatial deconvolution technique to improve the accuracy of reconstructed
Optical Tomography
three-dimensional diffuse optical tomographic images," Applied Optics, Vol. 44, pp. 941-953 (2005).
methodology
R.L. Barbour, H.L. Graber, Y. Xu, Y. Pei, and R. Aronson, "Strategies for imaging diffusing media," Transport Theory
Optical Tomography
and Statistical Physics, Vol. 33, pp. 361-371 (2004).
methodology
Page 2 of 3
Rev. 2014-02-05
Sample of Peer-Reviewed Publications Using NIRx Systems/Software 2000-2014
Year
Publication
Application(s)
Optical Tomography
2002
H.L. Graber, Y. Pei, and R.L. Barbour, "Imaging of spatiotemporal coincident states by DC optical tomography," IEEE
Transactions on Medical Imaging, Vol. 21, pp. 852-866 (2002)
methodology: normalized
difference method (NDC) &
normalized constraint
method (NCM)
2002
2001
2001
2001
2001
C.H. Schmitz, M. Löcker, J.M. Lasker, A.H. Hielscher, and R.L. Barbour, "Instrumentation for fast functional optical
tomography," Review of Scientific Instruments, Vol. 73, pp. 429-439 (2002).
Y. Pei, H.L. Graber, and R.L. Barbour, "Influence of systematic errors in reference states on image quality and on
stability of derived information for DC optical imaging," Applied Optics, Vol. 40, pp. 5755-5769 (2001).
R.L. Barbour, H.L. Graber, Y. Pei, S. Zhong, and C.H. Schmitz, "Optical tomographic imaging of dynamic features of
dense-scattering media," J. Optical Society of America A, Vol. 18, pp. 3018-3036 (2001).
A.Y. Bluestone, G. Abdoulaev, C.H. Schmitz, R.L. Barbour, and A.H. Hielscher, "Three-dimensional optical tomography
of hemodynamics in the human head," Optics Express, Vol. 9, pp. 272-286 (2001).
instrumentation overview
Optical Tomography:
evaluation of imaging
accuracy
Optical Tomography: highcontrast images in densescattering media
Optical tomography: first
localization of vascular
reactivity in the brain
Optical Tomography
DC optical tomography," Optics Express, Vol. 9, pp. 97-109 (2001).
methodology
L. S. Barbour, and R.L. Barbour, "Instrumentation and calibration protocol for imaging dynamic features in densescattering media
www.nirx.net
methodology: NIRS
Y. Pei, H.L. Graber, and R.L. Barbour, "Normalized-constraint algorithm for minimizing inter-parameter crosstalk in
C.H. Schmitz, H.L. Graber, H. Luo, I. Arif, J. Hira, Y. Pei, A. Bluestone, S. Zhong, R. Andronica, I. Soller, N. Ramirez, S.-
2000
Optical Tomography
Page 3 of 3
Optical Tomography
methodology
Rev. 2014-02-05