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Algorithms for extracting motion information from navigator echoes
Author(s) -
Wang Yi,
Grimm Roger C.,
Felmlee Joel P.,
Riederer Sephen J.,
Ehman Richard L.
Publication year - 1996
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.1910360120
Subject(s) - displacement (psychology) , artificial intelligence , computer science , computer vision , motion (physics) , noise (video) , echo (communications protocol) , algorithm , least squares function approximation , mathematics , image (mathematics) , statistics , psychology , computer network , estimator , psychotherapist
Algorithms to reliably detect motion in navigator echoes are crucial to many MRI motion suppression techniques. The accuracy of these algorithms is affected by noise and deformation of navigator echo profile caused by physiologic motion. This study compared the performance of algorithms based on correlation and least squares for extracting displacement information from motion‐monitoring navigator echoes, using computer simulation and in vivo imaging. The least squares algorithm was determined to be of higher accuracy than the correlation algorithm against errors caused by noise and profile deformation.