Literature DB >> 26713183

Removal of motion artifacts originating from optode fluctuations during functional near-infrared spectroscopy measurements.

Toru Yamada1, Shinji Umeyama1, Mitsuo Ohashi2.   

Abstract

Functional near-infrared spectroscopy (fNIRS) has been increasingly utilized for detecting human cerebral activity in many disciplines because of the potential for less-restraining conditions. However, users often suffer from motion artifacts originating from optode fluctuation during task execution when the task includes motion. In such cases, the optode fluctuation induces changes both in the reflection by hair and in the transmission between the optode and scalp. If part of the reflected light is directly received by the detector optode (short-circuited light), it will contaminate the fNIRS signal. The transmittance change at the optode-scalp gap will also contaminate the signal. In this study, we proposed an optical model on the influence of optode fluctuation on the fNIRS signal and a method for removing the influence. The model revealed the following: (1) the received short-circuited light and the gap transmittance change generated a baseline change in the detected light intensity, and (2) the signal from the tissues was downscaled with increases in the receiving intensity of short-circuited light. To avoid erroneous detection of short-circuited light, we developed a method that optically eliminated hair-reflected light from the detection using linearly polarized light sources and an orthogonally polarized analyzer. The method was validated with an optical phantom possessing a haired surface. The optical absorbance change of a close source-detector (S-D) pair equipped with polarizers was very similar to that of distant S-D pairs, even though these optodes were artificially fluctuated. By combining the multidistance optode arrangement technique with the short-circuited light elimination method, the measurement could effectively eliminate motion artifacts originating from optode fluctuation.

Entities:  

Keywords:  (170.0170) Medical optics and biotechnology; (170.2655) Functional monitoring and imaging; (170.3880) Medical and biological imaging

Year:  2015        PMID: 26713183      PMCID: PMC4679243          DOI: 10.1364/BOE.6.004632

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  22 in total

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

Authors:  F Scholkmann; S Spichtig; T Muehlemann; M Wolf
Journal:  Physiol Meas       Date:  2010-03-22       Impact factor: 2.833

Review 2.  Quality control and assurance in functional near infrared spectroscopy (fNIRS) experimentation.

Authors:  F Orihuela-Espina; D R Leff; D R C James; A W Darzi; G Z Yang
Journal:  Phys Med Biol       Date:  2010-06-09       Impact factor: 3.609

3.  Direct characterization and removal of interfering absorption trends in two-layer turbid media.

Authors:  Rolf B Saager; Andrew J Berger
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2005-09       Impact factor: 2.129

4.  Multidistance probe arrangement to eliminate artifacts in functional near-infrared spectroscopy.

Authors:  Toru Yamada; Shinji Umeyama; Keiji Matsuda
Journal:  J Biomed Opt       Date:  2009 Nov-Dec       Impact factor: 3.170

5.  Accelerometer-based method for correcting signal baseline changes caused by motion artifacts in medical near-infrared spectroscopy.

Authors:  Jaakko Virtanen; Tommi Noponen; Kalle Kotilahti; Juha Virtanen; Risto J Ilmoniemi
Journal:  J Biomed Opt       Date:  2011-08       Impact factor: 3.170

6.  Detection of an unstable and/or a weak probe contact in a multichannel functional near-infrared spectroscopy measurement.

Authors:  Shinji Umeyama; Toru Yamada
Journal:  J Biomed Opt       Date:  2013-04       Impact factor: 3.170

7.  A kurtosis-based wavelet algorithm for motion artifact correction of fNIRS data.

Authors:  Antonio M Chiarelli; Edward L Maclin; Monica Fabiani; Gabriele Gratton
Journal:  Neuroimage       Date:  2015-03-04       Impact factor: 6.556

Review 8.  Illuminating the developing brain: the past, present and future of functional near infrared spectroscopy.

Authors:  S Lloyd-Fox; A Blasi; C E Elwell
Journal:  Neurosci Biobehav Rev       Date:  2009-07-24       Impact factor: 8.989

9.  The physiological origin of task-evoked systemic artefacts in functional near infrared spectroscopy.

Authors:  Evgeniya Kirilina; Alexander Jelzow; Angela Heine; Michael Niessing; Heidrun Wabnitz; Rüdiger Brühl; Bernd Ittermann; Arthur M Jacobs; Ilias Tachtsidis
Journal:  Neuroimage       Date:  2012-03-09       Impact factor: 6.556

10.  TARGETED PRINCIPLE COMPONENT ANALYSIS: A NEW MOTION ARTIFACT CORRECTION APPROACH FOR NEAR-INFRARED SPECTROSCOPY.

Authors:  Meryem A Yücel; Juliette Selb; Robert J Cooper; David A Boas
Journal:  J Innov Opt Health Sci       Date:  2014-03-01
View more
  7 in total

1.  Evaluating motion processing algorithms for use with functional near-infrared spectroscopy data from young children.

Authors:  Lourdes M Delgado Reyes; Kevin Bohache; Sobanawartiny Wijeakumar; John P Spencer
Journal:  Neurophotonics       Date:  2018-05-22       Impact factor: 3.593

2.  Functional near-infrared spectroscopy for monitoring macaque cerebral motor activity during voluntary movements without head fixation.

Authors:  Toru Yamada; Hiroshi Kawaguchi; Junpei Kato; Keiji Matsuda; Noriyuki Higo
Journal:  Sci Rep       Date:  2018-08-09       Impact factor: 4.379

Review 3.  Motion artifacts removal and evaluation techniques for functional near-infrared spectroscopy signals: A review.

Authors:  Ruisen Huang; Keum-Shik Hong; Dalin Yang; Guanghao Huang
Journal:  Front Neurosci       Date:  2022-10-03       Impact factor: 5.152

Review 4.  Review of recent progress toward a fiberless, whole-scalp diffuse optical tomography system.

Authors:  Hubin Zhao; Robert J Cooper
Journal:  Neurophotonics       Date:  2017-09-26       Impact factor: 3.593

5.  Analgesic Effects of Compression at Trigger Points Are Associated With Reduction of Frontal Polar Cortical Activity as Well as Functional Connectivity Between the Frontal Polar Area and Insula in Patients With Chronic Low Back Pain: A Randomized Trial.

Authors:  Kanae Kodama; Kouichi Takamoto; Hiroshi Nishimaru; Jumpei Matsumoto; Yusaku Takamura; Shigekazu Sakai; Taketoshi Ono; Hisao Nishijo
Journal:  Front Syst Neurosci       Date:  2019-11-13

6.  Reliability of Frontal Eye Fields Activation and Very Low-Frequency Oscillations Observed during Vergence Eye Movements: an fNIRS Study.

Authors:  Chang Yaramothu; Xiaobo Li; Cristian Morales; Tara L Alvarez
Journal:  Sci Rep       Date:  2020-01-20       Impact factor: 4.379

7.  Exclusive detection of cerebral hemodynamics in functional near-infrared spectroscopy by reflectance modulation of the scalp surface.

Authors:  Hiroshi Kawaguchi; Yukari Tanikawa; Toru Yamada
Journal:  J Biomed Opt       Date:  2020-08       Impact factor: 3.170

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.