Anisotropic 2-D and 3-D averaging of fMRI signals

Andres Fco Solé; Shing Chung Ngan; Guillermo Sapiro; Xiaoping Hu; Antonio López

doi:10.1109/42.913175

Anisotropic 2-D and 3-D averaging of fMRI signals

Andres Fco Solé, Shing Chung Ngan, Guillermo Sapiro, Xiaoping Hu, Antonio López

Research output: Contribution to journal › Article › peer-review

34 Scopus citations

Abstract

A novel method for denoising functional magnetic resonance imaging temporal signals is presented in this note. The method is based on progressively enhancing the temporal signal by means of adaptive anisotropic spatial averaging. This average is based on a new metric for comparing temporal signals corresponding to active fMRI regions. Examples are presented both for simulated and real two and three-dimensional data. The software implementing the proposed technique is publicly available for the research community.

Original language	English (US)
Pages (from-to)	86-93
Number of pages	8
Journal	IEEE Transactions on Medical Imaging
Volume	20
Issue number	2
DOIs	https://doi.org/10.1109/42.913175
State	Published - Feb 2001
Externally published	Yes

All Science Journal Classification (ASJC) codes

Software
Radiological and Ultrasound Technology
Computer Science Applications
Electrical and Electronic Engineering

Keywords

Anisotropic averaging
Fourier spectrum
Functional MRI
Signal metrics

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10.1109/42.913175

Cite this

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abstract = "A novel method for denoising functional magnetic resonance imaging temporal signals is presented in this note. The method is based on progressively enhancing the temporal signal by means of adaptive anisotropic spatial averaging. This average is based on a new metric for comparing temporal signals corresponding to active fMRI regions. Examples are presented both for simulated and real two and three-dimensional data. The software implementing the proposed technique is publicly available for the research community.",

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AU - López, Antonio

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AB - A novel method for denoising functional magnetic resonance imaging temporal signals is presented in this note. The method is based on progressively enhancing the temporal signal by means of adaptive anisotropic spatial averaging. This average is based on a new metric for comparing temporal signals corresponding to active fMRI regions. Examples are presented both for simulated and real two and three-dimensional data. The software implementing the proposed technique is publicly available for the research community.

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KW - Signal metrics

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Anisotropic 2-D and 3-D averaging of fMRI signals

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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