Cargando…

Incremental Activation Detection for Real-Time fMRI Series Using Robust Kalman Filter

Real-time functional magnetic resonance imaging (rt-fMRI) is a technique that enables us to observe human brain activations in real time. However, some unexpected noises that emerged in fMRI data collecting, such as acute swallowing, head moving and human manipulations, will cause much confusion and...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Liang, Yan, Bin, Tong, Li, Wang, Linyuan, Li, Jianxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3912890/
https://www.ncbi.nlm.nih.gov/pubmed/24511325
http://dx.doi.org/10.1155/2014/759805
_version_ 1782302150530957312
author Li, Liang
Yan, Bin
Tong, Li
Wang, Linyuan
Li, Jianxin
author_facet Li, Liang
Yan, Bin
Tong, Li
Wang, Linyuan
Li, Jianxin
author_sort Li, Liang
collection PubMed
description Real-time functional magnetic resonance imaging (rt-fMRI) is a technique that enables us to observe human brain activations in real time. However, some unexpected noises that emerged in fMRI data collecting, such as acute swallowing, head moving and human manipulations, will cause much confusion and unrobustness for the activation analysis. In this paper, a new activation detection method for rt-fMRI data is proposed based on robust Kalman filter. The idea is to add a variation to the extended kalman filter to handle the additional sparse measurement noise and a sparse noise term to the measurement update step. Hence, the robust Kalman filter is designed to improve the robustness for the outliers and can be computed separately for each voxel. The algorithm can compute activation maps on each scan within a repetition time, which meets the requirement for real-time analysis. Experimental results show that this new algorithm can bring out high performance in robustness and in real-time activation detection.
format Online
Article
Text
id pubmed-3912890
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-39128902014-02-09 Incremental Activation Detection for Real-Time fMRI Series Using Robust Kalman Filter Li, Liang Yan, Bin Tong, Li Wang, Linyuan Li, Jianxin Comput Math Methods Med Research Article Real-time functional magnetic resonance imaging (rt-fMRI) is a technique that enables us to observe human brain activations in real time. However, some unexpected noises that emerged in fMRI data collecting, such as acute swallowing, head moving and human manipulations, will cause much confusion and unrobustness for the activation analysis. In this paper, a new activation detection method for rt-fMRI data is proposed based on robust Kalman filter. The idea is to add a variation to the extended kalman filter to handle the additional sparse measurement noise and a sparse noise term to the measurement update step. Hence, the robust Kalman filter is designed to improve the robustness for the outliers and can be computed separately for each voxel. The algorithm can compute activation maps on each scan within a repetition time, which meets the requirement for real-time analysis. Experimental results show that this new algorithm can bring out high performance in robustness and in real-time activation detection. Hindawi Publishing Corporation 2014 2014-01-06 /pmc/articles/PMC3912890/ /pubmed/24511325 http://dx.doi.org/10.1155/2014/759805 Text en Copyright © 2014 Liang Li et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Li, Liang
Yan, Bin
Tong, Li
Wang, Linyuan
Li, Jianxin
Incremental Activation Detection for Real-Time fMRI Series Using Robust Kalman Filter
title Incremental Activation Detection for Real-Time fMRI Series Using Robust Kalman Filter
title_full Incremental Activation Detection for Real-Time fMRI Series Using Robust Kalman Filter
title_fullStr Incremental Activation Detection for Real-Time fMRI Series Using Robust Kalman Filter
title_full_unstemmed Incremental Activation Detection for Real-Time fMRI Series Using Robust Kalman Filter
title_short Incremental Activation Detection for Real-Time fMRI Series Using Robust Kalman Filter
title_sort incremental activation detection for real-time fmri series using robust kalman filter
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3912890/
https://www.ncbi.nlm.nih.gov/pubmed/24511325
http://dx.doi.org/10.1155/2014/759805
work_keys_str_mv AT liliang incrementalactivationdetectionforrealtimefmriseriesusingrobustkalmanfilter
AT yanbin incrementalactivationdetectionforrealtimefmriseriesusingrobustkalmanfilter
AT tongli incrementalactivationdetectionforrealtimefmriseriesusingrobustkalmanfilter
AT wanglinyuan incrementalactivationdetectionforrealtimefmriseriesusingrobustkalmanfilter
AT lijianxin incrementalactivationdetectionforrealtimefmriseriesusingrobustkalmanfilter