title: Algorithms for extracting motion information from navigator echoes.
abstract: 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.
authors.affiliation: Diagnostic Radiology, Mayo Clinic, Rochester, Minnesota 55905, USA.
authors.forename: Y
authors.initials: Y
authors.lastname: Wang
authors.forename: R C
authors.initials: RC
authors.lastname: Grimm
authors.forename: J P
authors.initials: JP
authors.lastname: Felmlee
authors.forename: S J
authors.initials: SJ
authors.lastname: Riederer
authors.forename: R L
authors.initials: RL
authors.lastname: Ehman
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001921:Brain / Q000033:anatomy & histology; D003198:Computer Simulation; D003964:Diaphragm / Q000033:anatomy & histology / Q000502:physiology; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D016018:Least-Squares Analysis; D008279:Magnetic Resonance Imaging / Q000379:methods; D009038:Motion; D009666:Nose / Q000033:anatomy & histology; D012119:Respiration