Fast orthogonal search method for modeling nonlinear hemodynamic response in fMRI

Xingfeng Li; Jie Tian; Xiaoxiang Wang; Jianping Dai; Lin Ai

doi:10.1117/12.536165

Fast orthogonal search method for modeling nonlinear hemodynamic response in fMRI

Xingfeng Li
, Jie Tian^*
, Xiaoxiang Wang
, Jianping Dai
, Lin Ai

^*Corresponding author for this work

CAS - Institute of Automation
Capital Medical University

Research output: Contribution to journal › Conference article › peer-review

8 Scopus citations

Abstract

This study presents a fast orthogonal search (FOS) method for modeling fMRI time series. Based on the system identification theory, an orthogonalization procedure to model the fMRI time series is described. FOS method does not require equally space data, and can resolve sinusoidal frequencies much more closely than Fourier transform method. After the time series are modeled by means of the FOS, F-test is employed to detect the activation regions. Eight volunteers' data were collected to validate the proposed method. The results demonstrate the feasibility of the proposed method.

Original language	English
Pages (from-to)	219-226
Number of pages	8
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5369
DOIs	https://doi.org/10.1117/12.536165
State	Published - 2004
Externally published	Yes
Event	Medical Imaging 2004: Physiology, Function, and Structure from Medical Images - San Diego, CA, United States Duration: 15 Feb 2004 → 17 Feb 2004

Keywords

Bold-fMRI
Fast orthogonal search
Nonlinear system identification

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10.1117/12.536165

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title = "Fast orthogonal search method for modeling nonlinear hemodynamic response in fMRI",

abstract = "This study presents a fast orthogonal search (FOS) method for modeling fMRI time series. Based on the system identification theory, an orthogonalization procedure to model the fMRI time series is described. FOS method does not require equally space data, and can resolve sinusoidal frequencies much more closely than Fourier transform method. After the time series are modeled by means of the FOS, F-test is employed to detect the activation regions. Eight volunteers' data were collected to validate the proposed method. The results demonstrate the feasibility of the proposed method.",

keywords = "Bold-fMRI, Fast orthogonal search, Nonlinear system identification",

author = "Xingfeng Li and Jie Tian and Xiaoxiang Wang and Jianping Dai and Lin Ai",

year = "2004",

doi = "10.1117/12.536165",

language = "英语",

volume = "5369",

pages = "219--226",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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note = "Medical Imaging 2004: Physiology, Function, and Structure from Medical Images ; Conference date: 15-02-2004 Through 17-02-2004",

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AU - Li, Xingfeng

AU - Tian, Jie

AU - Wang, Xiaoxiang

AU - Dai, Jianping

AU - Ai, Lin

PY - 2004

Y1 - 2004

N2 - This study presents a fast orthogonal search (FOS) method for modeling fMRI time series. Based on the system identification theory, an orthogonalization procedure to model the fMRI time series is described. FOS method does not require equally space data, and can resolve sinusoidal frequencies much more closely than Fourier transform method. After the time series are modeled by means of the FOS, F-test is employed to detect the activation regions. Eight volunteers' data were collected to validate the proposed method. The results demonstrate the feasibility of the proposed method.

AB - This study presents a fast orthogonal search (FOS) method for modeling fMRI time series. Based on the system identification theory, an orthogonalization procedure to model the fMRI time series is described. FOS method does not require equally space data, and can resolve sinusoidal frequencies much more closely than Fourier transform method. After the time series are modeled by means of the FOS, F-test is employed to detect the activation regions. Eight volunteers' data were collected to validate the proposed method. The results demonstrate the feasibility of the proposed method.

KW - Bold-fMRI

KW - Fast orthogonal search

KW - Nonlinear system identification

UR - https://www.scopus.com/pages/publications/3042597579

U2 - 10.1117/12.536165

DO - 10.1117/12.536165

M3 - 会议文章

AN - SCOPUS:3042597579

SN - 0277-786X

VL - 5369

SP - 219

EP - 226

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Medical Imaging 2004: Physiology, Function, and Structure from Medical Images

Y2 - 15 February 2004 through 17 February 2004

ER -

Fast orthogonal search method for modeling nonlinear hemodynamic response in fMRI

Abstract

Keywords

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