Exploring the use of optical flow for the study of functional NIRS signals

Raul Fernandez Rojas, Xu Huang, Keng Liang Ou, Jesus Hernandez-Juarez

Research output: A Conference proceeding or a Chapter in BookConference contribution

1 Citation (Scopus)

Abstract

Near infrared spectroscopy (NIRS) is an optical imaging technique that allows real-time measurements of Oxy and Deoxy-hemoglobin concentrations in human body tissue. In functional NIRS (fNIRS), this technique is used to study cortical activation in response to changes in neural activity. However, analysis of activation regions using NIRS is a challenging task in the field of medical image analysis and despite existing solutions, no homogeneous analysis method has yet been determined. For that reason, the aim of our present study is to report the use of an optical flow method for the analysis of cortical activation using near-infrared spectroscopy signals. We used real fNIRS data recorded from a noxious stimulation experiment as base of our implementation. To compute the optical flow algorithm, we first arrange NIRS signals (Oxy-hemoglobin) following our 24 channels (12 channels per hemisphere) head-probe configuration to create image-like samples. We then used two consecutive fNIRS samples per hemisphere as input frames for the optical flow algorithm, making one computation per hemisphere. The output from these two computations is the velocity field representing cortical activation from each hemisphere. The experimental results showed that the radial structure of flow vectors exhibited the origin of cortical activity, the development of stimulation as expansion or contraction of such flow vectors, and the flow of activation patterns may suggest prediction in cortical activity. The present study demonstrates that optical flow provides a power tool for the analysis of NIRS signals. Finally, we suggested a novel idea to identify pain status in nonverbal patients by using optical flow motion vectors; however, this idea will be study further in our future research.

Original languageEnglish
Title of host publicationMedical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging
Subtitle of host publicationProceedings of SPIE
EditorsA Krol, B Gimi
Place of PublicationBellingham, USA
PublisherSPIE
Pages1-8
Number of pages8
Volume10137
ISBN (Electronic)9781510607200
ISBN (Print)9781510607194
DOIs
Publication statusPublished - 13 Mar 2017
EventMedical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging - Orlando, United States
Duration: 12 Feb 201714 Feb 2017

Conference

ConferenceMedical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging
CountryUnited States
CityOrlando
Period12/02/1714/02/17

Fingerprint

Near infrared spectroscopy
Near-Infrared Spectroscopy
Optical flows
infrared spectroscopy
hemispheres
Chemical activation
activation
Activation Analysis
Hemoglobin
stimulation
Hemoglobins
oxyhemoglobin
pain
Optical Imaging
hemoglobin
human body
Time measurement
image analysis
Human Body
imaging techniques

Cite this

Fernandez Rojas, R., Huang, X., Ou, K. L., & Hernandez-Juarez, J. (2017). Exploring the use of optical flow for the study of functional NIRS signals. In A. Krol, & B. Gimi (Eds.), Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging: Proceedings of SPIE (Vol. 10137, pp. 1-8). [101372K] Bellingham, USA: SPIE. https://doi.org/10.1117/12.2254668
Fernandez Rojas, Raul ; Huang, Xu ; Ou, Keng Liang ; Hernandez-Juarez, Jesus. / Exploring the use of optical flow for the study of functional NIRS signals. Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging: Proceedings of SPIE. editor / A Krol ; B Gimi. Vol. 10137 Bellingham, USA : SPIE, 2017. pp. 1-8
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Fernandez Rojas, R, Huang, X, Ou, KL & Hernandez-Juarez, J 2017, Exploring the use of optical flow for the study of functional NIRS signals. in A Krol & B Gimi (eds), Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging: Proceedings of SPIE. vol. 10137, 101372K, SPIE, Bellingham, USA, pp. 1-8, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, Orlando, United States, 12/02/17. https://doi.org/10.1117/12.2254668

Exploring the use of optical flow for the study of functional NIRS signals. / Fernandez Rojas, Raul; Huang, Xu; Ou, Keng Liang; Hernandez-Juarez, Jesus.

Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging: Proceedings of SPIE. ed. / A Krol; B Gimi. Vol. 10137 Bellingham, USA : SPIE, 2017. p. 1-8 101372K.

Research output: A Conference proceeding or a Chapter in BookConference contribution

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T1 - Exploring the use of optical flow for the study of functional NIRS signals

AU - Fernandez Rojas, Raul

AU - Huang, Xu

AU - Ou, Keng Liang

AU - Hernandez-Juarez, Jesus

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N2 - Near infrared spectroscopy (NIRS) is an optical imaging technique that allows real-time measurements of Oxy and Deoxy-hemoglobin concentrations in human body tissue. In functional NIRS (fNIRS), this technique is used to study cortical activation in response to changes in neural activity. However, analysis of activation regions using NIRS is a challenging task in the field of medical image analysis and despite existing solutions, no homogeneous analysis method has yet been determined. For that reason, the aim of our present study is to report the use of an optical flow method for the analysis of cortical activation using near-infrared spectroscopy signals. We used real fNIRS data recorded from a noxious stimulation experiment as base of our implementation. To compute the optical flow algorithm, we first arrange NIRS signals (Oxy-hemoglobin) following our 24 channels (12 channels per hemisphere) head-probe configuration to create image-like samples. We then used two consecutive fNIRS samples per hemisphere as input frames for the optical flow algorithm, making one computation per hemisphere. The output from these two computations is the velocity field representing cortical activation from each hemisphere. The experimental results showed that the radial structure of flow vectors exhibited the origin of cortical activity, the development of stimulation as expansion or contraction of such flow vectors, and the flow of activation patterns may suggest prediction in cortical activity. The present study demonstrates that optical flow provides a power tool for the analysis of NIRS signals. Finally, we suggested a novel idea to identify pain status in nonverbal patients by using optical flow motion vectors; however, this idea will be study further in our future research.

AB - Near infrared spectroscopy (NIRS) is an optical imaging technique that allows real-time measurements of Oxy and Deoxy-hemoglobin concentrations in human body tissue. In functional NIRS (fNIRS), this technique is used to study cortical activation in response to changes in neural activity. However, analysis of activation regions using NIRS is a challenging task in the field of medical image analysis and despite existing solutions, no homogeneous analysis method has yet been determined. For that reason, the aim of our present study is to report the use of an optical flow method for the analysis of cortical activation using near-infrared spectroscopy signals. We used real fNIRS data recorded from a noxious stimulation experiment as base of our implementation. To compute the optical flow algorithm, we first arrange NIRS signals (Oxy-hemoglobin) following our 24 channels (12 channels per hemisphere) head-probe configuration to create image-like samples. We then used two consecutive fNIRS samples per hemisphere as input frames for the optical flow algorithm, making one computation per hemisphere. The output from these two computations is the velocity field representing cortical activation from each hemisphere. The experimental results showed that the radial structure of flow vectors exhibited the origin of cortical activity, the development of stimulation as expansion or contraction of such flow vectors, and the flow of activation patterns may suggest prediction in cortical activity. The present study demonstrates that optical flow provides a power tool for the analysis of NIRS signals. Finally, we suggested a novel idea to identify pain status in nonverbal patients by using optical flow motion vectors; however, this idea will be study further in our future research.

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KW - Optical flow

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M3 - Conference contribution

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Fernandez Rojas R, Huang X, Ou KL, Hernandez-Juarez J. Exploring the use of optical flow for the study of functional NIRS signals. In Krol A, Gimi B, editors, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging: Proceedings of SPIE. Vol. 10137. Bellingham, USA: SPIE. 2017. p. 1-8. 101372K https://doi.org/10.1117/12.2254668