Title | Kalman filtering for real-time navigator processing. |
Publication Type | Journal Article |
Year of Publication | 2008 |
Authors | Spincemaille P, Nguyen TD, Prince MR, Wang Y |
Journal | Magn Reson Med |
Volume | 60 |
Issue | 1 |
Pagination | 158-68 |
Date Published | 2008 Jul |
ISSN | 0740-3194 |
Keywords | Artifacts, Bayes Theorem, Computer Simulation, Heart, Humans, Magnetic Resonance Imaging, Cine, Motion, Respiratory Physiological Phenomena |
Abstract | 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. |
DOI | 10.1002/mrm.21649 |
Alternate Journal | Magn Reson Med |
PubMed ID | 18581354 |
Related Institute:
MRI Research Institute (MRIRI)