Incremental Activation Detection for Real-Time fMRI Series Using Robust Kalman Filter
Joint Authors
Tong, Li
Li, Liang
Li, Jianxin
Wang, Linyuan
Yan, Bin
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-06
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Li, Liang& Yan, Bin& Tong, Li& Wang, Linyuan& Li, Jianxin. 2014. Incremental Activation Detection for Real-Time fMRI Series Using Robust Kalman Filter. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-496558
Modern Language Association (MLA)
Li, Liang…[et al.]. Incremental Activation Detection for Real-Time fMRI Series Using Robust Kalman Filter. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-496558
American Medical Association (AMA)
Li, Liang& Yan, Bin& Tong, Li& Wang, Linyuan& Li, Jianxin. Incremental Activation Detection for Real-Time fMRI Series Using Robust Kalman Filter. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-496558
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-496558