Document Detail


Kalman filtering for real-time navigator processing.
MedLine Citation:
PMID:  18581354     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Navigator echoes are used in high-resolution cardiac MRI for tracking physiological motion to suppress motion artifacts. Alternatives to the conventional diaphragm navigator such as the cardiac fat navigator and the k-space center signal (self-navigator) were developed to monitor heart motion directly. These navigator data can be noisy or may contain undesirable frequency components. Real-time filtering of navigator data without delay, as opposed to the previously used retrospective frequency band filtering, is required for effective prospective navigator gating. One of the commonly used real-time filtering techniques is the Kalman filter, which adaptively estimates motion and suppresses measurement noise by using Bayesian statistics and a motion model. The Kalman filter is investigated in this work to filter noise and distinguish cardiac and respiratory components in navigator data. Preliminary imaging data demonstrate the feasibility of real-time Kalman filtering for prospective respiratory self-gating in CINE cardiac MRI.
Authors:
Pascal Spincemaille; Thanh D Nguyen; Martin R Prince; Yi Wang
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine     Volume:  60     ISSN:  0740-3194     ISO Abbreviation:  Magn Reson Med     Publication Date:  2008 Jul 
Date Detail:
Created Date:  2008-07-10     Completed Date:  2008-11-04     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  8505245     Medline TA:  Magn Reson Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  158-68     Citation Subset:  IM    
Copyright Information:
(c) 2008 Wiley-Liss, Inc.
Affiliation:
Department of Radiology, Weill Medical College of Cornell University, New York, NY 10022, USA.
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MeSH Terms
Descriptor/Qualifier:
Artifacts
Bayes Theorem
Computer Simulation
Heart / physiology*
Humans
Magnetic Resonance Imaging, Cine / methods*
Motion
Respiratory Physiological Phenomena

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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