Ontology highlight
ABSTRACT:
SUBMITTER: Weller DS
PROVIDER: S-EPMC6319923 | biostudies-literature | 2019 Apr
REPOSITORIES: biostudies-literature
Weller Daniel S DS Noll Douglas C DC Fessler Jeffrey A JA
Signal processing 20181203
Estimating a time-varying signal, such as head motion from magnetic resonance imaging data, becomes particularly challenging in the face of other temporal dynamics such as functional activation. This paper describes a new Kalman filter-like framework that includes a sparse residual term in the measurement model. This additional term allows the extended Kalman filter to generate real-time motion estimates suitable for prospective motion correction when such dynamics occur. An iterative augmented ...[more]