Consistent hemodynamic response function estimation in functional MRI by first order differencing

Abd Krim Seghouane; Adnan Shah

doi:10.1109/ISBI.2013.6556467

Consistent hemodynamic response function estimation in functional MRI by first order differencing

Abd Krim Seghouane, Adnan Shah

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Citations (Scopus)

Abstract

Non-parametric hemodynamic response function (HRF) estimation in noisy functional Magnetic Resonance Imaging (fMRI) plays an important role when investigating the temporal dynamic of a brain region response during activations. Assuming the drift Lipschitz continuous; a new algorithm for non-parametric HRF estimation is derived in this paper. The proposed algorithm estimates the HRF by applying a first order differencing to the fMRI time series samples. It is shown that the proposed HRF estimator is √N consistent. Its performance is assessed using both simulated and a real fMRI data sets obtained from an event-related fMRI experiment. The application results reveal that the proposed HRF estimation method is efficient both computationally and in term of accuracy.

Original language	English
Title of host publication	ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro
Pages	282-285
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2013.6556467
Publication status	Published - 2013
Event	2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 - San Francisco, CA, United States Duration: 7 Apr 2013 → 11 Apr 2013

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Conference

Conference	2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
Country/Territory	United States
City	San Francisco, CA
Period	7/04/13 → 11/04/13

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10.1109/ISBI.2013.6556467

Cite this

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title = "Consistent hemodynamic response function estimation in functional MRI by first order differencing",

abstract = "Non-parametric hemodynamic response function (HRF) estimation in noisy functional Magnetic Resonance Imaging (fMRI) plays an important role when investigating the temporal dynamic of a brain region response during activations. Assuming the drift Lipschitz continuous; a new algorithm for non-parametric HRF estimation is derived in this paper. The proposed algorithm estimates the HRF by applying a first order differencing to the fMRI time series samples. It is shown that the proposed HRF estimator is √N consistent. Its performance is assessed using both simulated and a real fMRI data sets obtained from an event-related fMRI experiment. The application results reveal that the proposed HRF estimation method is efficient both computationally and in term of accuracy.",

keywords = "consistent estimation, first order differencing, functional MRI, hemodynamic response function",

author = "Seghouane, {Abd Krim} and Adnan Shah",

year = "2013",

doi = "10.1109/ISBI.2013.6556467",

language = "English",

isbn = "9781467364546",

series = "Proceedings - International Symposium on Biomedical Imaging",

pages = "282--285",

booktitle = "ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging",

note = "2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 ; Conference date: 07-04-2013 Through 11-04-2013",

}

Seghouane, AK & Shah, A 2013, Consistent hemodynamic response function estimation in functional MRI by first order differencing. in ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro., 6556467, Proceedings - International Symposium on Biomedical Imaging, pp. 282-285, 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, San Francisco, CA, United States, 7/04/13. https://doi.org/10.1109/ISBI.2013.6556467

Consistent hemodynamic response function estimation in functional MRI by first order differencing. / Seghouane, Abd Krim; Shah, Adnan.
ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro. 2013. p. 282-285 6556467 (Proceedings - International Symposium on Biomedical Imaging).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Consistent hemodynamic response function estimation in functional MRI by first order differencing

AU - Seghouane, Abd Krim

AU - Shah, Adnan

PY - 2013

Y1 - 2013

N2 - Non-parametric hemodynamic response function (HRF) estimation in noisy functional Magnetic Resonance Imaging (fMRI) plays an important role when investigating the temporal dynamic of a brain region response during activations. Assuming the drift Lipschitz continuous; a new algorithm for non-parametric HRF estimation is derived in this paper. The proposed algorithm estimates the HRF by applying a first order differencing to the fMRI time series samples. It is shown that the proposed HRF estimator is √N consistent. Its performance is assessed using both simulated and a real fMRI data sets obtained from an event-related fMRI experiment. The application results reveal that the proposed HRF estimation method is efficient both computationally and in term of accuracy.

AB - Non-parametric hemodynamic response function (HRF) estimation in noisy functional Magnetic Resonance Imaging (fMRI) plays an important role when investigating the temporal dynamic of a brain region response during activations. Assuming the drift Lipschitz continuous; a new algorithm for non-parametric HRF estimation is derived in this paper. The proposed algorithm estimates the HRF by applying a first order differencing to the fMRI time series samples. It is shown that the proposed HRF estimator is √N consistent. Its performance is assessed using both simulated and a real fMRI data sets obtained from an event-related fMRI experiment. The application results reveal that the proposed HRF estimation method is efficient both computationally and in term of accuracy.

KW - consistent estimation

KW - first order differencing

KW - functional MRI

KW - hemodynamic response function

UR - http://www.scopus.com/inward/record.url?scp=84881647539&partnerID=8YFLogxK

U2 - 10.1109/ISBI.2013.6556467

DO - 10.1109/ISBI.2013.6556467

M3 - Conference contribution

SN - 9781467364546

T3 - Proceedings - International Symposium on Biomedical Imaging

SP - 282

EP - 285

BT - ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging

T2 - 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013

Y2 - 7 April 2013 through 11 April 2013

ER -

Consistent hemodynamic response function estimation in functional MRI by first order differencing

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